https://geonetwork.swissdatacube.org/geonetwork/srv/api/records
type: PagedCollection
type: PartialCollectionView
last page: https://geonetwork.swissdatacube.org/geonetwork/srv/api/records
total items: 18
next page: https://geonetwork.swissdatacube.org/geonetwork/srv/api/records
items per page: 10

SwissEnvEO
type: Catalog
label: SwissEnvEO (UNEP/GRID-Geneva; University of Geneva; University of Zurich; WSL)
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: UNEP/GRID-Geneva; University of Geneva; University of Zurich; WSL
themes: Continents, countries, sea regions of the world.
language: eng
dataset: ls7 ledaps swiss
dataset: ls5 ledaps swiss
dataset: ls8 lasrc swiss
dataset: UNEP/GRID-Geneva; University of Geneva; University of Zurich; WSL
dataset: Continents, countries, sea regions of the world.
dataset: Landsat 7 Analysis Ready Data
dataset: Landsat 5 Analysis Ready Data
dataset: Landsat 8 Analysis Ready Data
dataset: landscape model
dataset: raster data
dataset: nature
dataset: Landsat
dataset: undefined
dataset: Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
dataset: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
dataset: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
dataset: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
dataset: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
dataset: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
dataset: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
dataset: Jupyter Notebook
dataset: SDC Web UI
dataset: Yareta Repository
dataset: Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
dataset: Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
dataset: Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
dataset: Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
dataset: Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
dataset: Snow Cover - Monthly [1984-2021] - Switzerland
dataset: sdc:snowcover
dataset: Normalized Difference Water Index (NDWI) - Annual Mean - Switzerland
dataset: Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
dataset: Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
dataset: Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
dataset: Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
dataset: Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
dataset: Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
dataset: Université de Genève
dataset: UNIGE/GRID
dataset: University of Geneva
dataset: UNEP/GRID-Geneva

UNEP/GRID-Geneva; University of Geneva; University of Zurich; WSL
type: Organization

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://geonetwork.swissdatacube.org/geonetwork/srv/eng/thesaurus.download

https://geonetwork.swissdatacube.org/geonetwork/records/8e3ae49a-fb2e-44cb-b83d-729c66f7738b
type: CatalogRecord
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
type: Dataset
abstract: This dataset is a seasonal time-series of Landsat Analysis Ready Data (ARD)-derived Normalized Difference Vegetation Index (NDVI) computed from Landsat 5 Thematic Mapper (TM) and Landsat 8 Opeational Land Imager (OLI). To ensure a consistent dataset, Landsat 7 has not been used because the Scan Line Correct (SLC) failure creates gaps into the data. NDVI quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs) using this generic formula: (NIR - R) / (NIR + R) For Landsat sensors, this corresponds to the following bands: Landsat 5, NDVI = (Band 4 – Band 3) / (Band 4 + Band 3). Landsat 8, NDVI = (Band 5 – Band 4) / (Band 5 + Band 4). NDVI values ranges from -1 to +1. NDVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health. Standard Deviation is provided in a separate dataset for each time step. Spring: March-April_May (_MAM) Summer: June-July-August (_JJA) Autumn: September-October-November (_SON) Winter: December-January-February (_DJF) Data format: GeoTiff This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch)
keyword: Vegetation
keyword: NDVI
keyword: Switzerland
keyword: Seasonal
theme: environment
theme: geoscientificInformation
spatial: Polygon
temporal: 1984-03-28 / 2019-06-15
publisher: Université de Genève
accrual periodicity: asNeeded
granularity: 1250000
language: eng
license: license
distribution: undefined
distribution: Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
title: Normalized Difference Water Index (NDWI) - Annual Mean - Switzerland
abstract: This dataset is an annual time-serie of Landsat Analysis Ready Data (ARD)-derived Normalized Difference Water Index (NDWI) computed from Landsat 5 Thematic Mapper (TM) and Landsat 8 Opeational Land Imager (OLI). To ensure a consistent dataset, Landsat 7 has not been used because the Scan Line Correct (SLC) failure creates gaps into the data. NDWI quantifies plant water content by measuring the difference between Near-Infrared (NIR) and Short Wave Infrared (SWIR) (or Green) channels using this generic formula: (NIR - SWIR) / (NIR + SWIR) For Landsat sensors, this corresponds to the following bands: Landsat 5, NDVI = (Band 4 – Band 2) / (Band 4 + Band 2). Landsat 8, NDVI = (Band 5 – Band 3) / (Band 5 + Band 3). NDWI values ranges from -1 to +1. NDWI is a good proxy for plant water stress and therefore useful for drought monitoring and early warning. NDWI is sometimes alos refered as Normalized Difference Moisture Index (NDMI) Standard Deviation is also provided for each time step. Data format: GeoTiff This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch)
keyword: NDWI
keyword: Water content
keyword: Humidity
distribution: Normalized Difference Water Index (NDWI) - Annual Mean - Switzerland
distribution: OGC:WMS-1.3.0-http-get-capabilities-sdc:ndwi
title: Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
abstract: This dataset is an annual time-serie of Landsat Analysis Ready Data (ARD)-derived Normalized Difference Vegetation Index (NDVI) computed from Landsat 5 Thematic Mapper (TM) and Landsat 8 Opeational Land Imager (OLI). To ensure a consistent dataset, Landsat 7 has not been used because the Scan Line Correct (SLC) failure creates gaps into the data. NDVI quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs) using this generic formula: (NIR - R) / (NIR + R) For Landsat sensors, this corresponds to the following bands: Landsat 5, NDVI = (Band 4 – Band 3) / (Band 4 + Band 3). Landsat 8, NDVI = (Band 5 – Band 4) / (Band 5 + Band 4). NDVI values ranges from -1 to +1. NDVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health. Standard Deviation is also provided for each time step. Data format: GeoTiff This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch)
keyword: Annual
distribution: Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
distribution: OGC:WMS-1.3.0-http-get-capabilities-sdc:ndvi

https://geonetwork.swissdatacube.org/geonetwork/records/8105b801-f1c9-4d86-b767-e87ded3463d5
type: CatalogRecord
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

Green Chlorophyll Vegetation Index (GCI) - Sentinel-2 [2016-2021] - Switzerland
type: Dataset
abstract: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Green Chlorophyll Vegetation Index (GCI) computed from Sentinel-2 data. GCI is used to estimate the content of leaf chlorophyll in various species of plants using the forumla GCI=(b8/b3) – 1. See Gitelson et al. (2003) DOI: 10.1029/2002gl016450 The chlorophyll content reflects the physiological state of vegetation; it decreases in stressed plants and can therefore be used as a measurement of vegetation health. GCI values ranges from -1 to +1. Values are provided as integer and multiplied by 1000 Metrics: annual (_annual) and seasonal (_spring; _summer; _autumn; _winter) mean (_nanmean), standard dev (_nanstd), min (_nanmin), max (_nanmax), median (_nanmedian), and amplitude (_range) Data format: GeoTiff
keyword: vegetation
keyword: gci
theme: landscape model
theme: raster data
theme: nature
theme: imageryBaseMapsEarthCover
theme: environment
theme: geoscientificInformation
spatial: Polygon
temporal: 2016-01-01 / 2021-12-31
publisher: UNIGE/GRID
accrual periodicity: asNeeded
granularity: 25000
license: otherRestictions
license: Creative Commons Attribution 4.0 International
distribution: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
distribution: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
distribution: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
distribution: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
distribution: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
distribution: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
data quality: This dataset has been produced using Sentinel-2 data from the Swiss Data Cube

https://geonetwork.swissdatacube.org/geonetwork/records/f475c001-1bee-4b53-9a70-dd34a80f29cf
type: CatalogRecord
primary topic: ls7 ledaps swiss
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

Landsat 7 Analysis Ready Data
type: Dataset
abstract: This dataset is the Landsat 7 Analysis Ready Data (ARD) - Level 2 (surface reflectance) archive for Switzerland. Detailed description about the Landsat 7 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=349 The Landsat archive is extremely interesting because this is the longest EO program, initiated in 1972, it has provided continual and consistent observations for almost 50 years. Since 2008, the complete data archive has been provided under a free and open access policy. This has enabled dense time-series analysis, moving beyond simple diachronic comparison of a set of images, therefore dramatically improving capabilities to monitor environmental changes. To cover the whole of Switzerland, it requires eight Landsat 7 scenes (Path/Row: 193/027, 194/027, 195/027, 196/027, 193/028, 194/028, 195/028, 196/028) representing an area of latitude 44.9 to 48.7 and longitude 4.1 to 12.8. Data are downloaded as Collection 1/Tier 1 – Level 2 Surface Reflectance encompassing a surface of approximately 185km by 180km. Collection 1/Tier 1 scenes are data with the highest available data quality (e.g., geometric and radiometric corrections) and considered suitable for time-series analysis (https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1). Level 2 corresponds to surface reflectance (i.e., the estimate based on Landsat sensor observations of the fraction of incoming solar radiation reflected from Earth’s surface). These data are corrected for atmospheric perturbations (e.g., aerosol scattering, thin clouds) enabling direct comparison between multiple images and dates. This corresponds to the ARD level. The sensor’s Scan-Line Corrector (SLC) failed in July 2003 and approximately 225 of the pixels per scene have since then not been scanned. However, the spatial and spectral quality of the remaining 78% of pixels images remain valid. Landsat data are provided by USGS with Quality Asse…
keyword: Swiss Data Cube
keyword: Earth Observations
keyword: Landsat 7
keyword: Analysis Ready Data
keyword: Switzerland
theme: environment
theme: geoscientificInformation
theme: imageryBaseMapsEarthCover
spatial: Polygon
temporal: 1999 / 2021
publisher: UNEP/GRID-Geneva
accrual periodicity: continual
granularity: 30
language: eng
license: restricted
license: license
distribution: Jupyter Notebook
distribution: SDC Web UI
distribution: Yareta Repository
data quality: Landsat Collection 1/Tier 1 – Level 2 Surface Reflectance

https://geonetwork.swissdatacube.org/geonetwork/records/da78fa9f-a756-4538-a28a-8be7d53d4676
type: CatalogRecord
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

Enhanced Vegetation Index (EVI) - Landsat [1984-2021] - Switzerland
type: Dataset
abstract: This dataset is an time-serie of Landsat Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Landsat 5-7-8 data. EVI quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs) using the forumla EVI=2.5*(NIR − Red)/(NIR + 6*Red − 7.5*Blue + 1) . See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2 EVI values ranges from -1 to +1. Values are provided as integer and multiplied by 1000 Metrics: annual (_annual) and seasonal (_spring; _summer; _autumn; _winter) mean (_nanmean), standard dev (_nanstd), min (_nanmin), max (_nanmax), median (_nanmedian), and amplitude (_range) Data format: GeoTiff
keyword: vegetation
keyword: evi
theme: nature
theme: landscape model
theme: Landsat
theme: raster data
theme: imageryBaseMapsEarthCover
theme: environment
theme: geoscientificInformation
spatial: Polygon
temporal: 1984-01-01 / 2021-12-31
publisher: UNIGE/GRID
accrual periodicity: asNeeded
granularity: 25000
license: otherRestictions
license: Creative Commons Attribution 4.0 International
distribution: Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
distribution: Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
distribution: Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
distribution: Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
distribution: Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
data quality: This dataset has been produced using Landsat data from the Swiss Data Cube

https://geonetwork.swissdatacube.org/geonetwork/records/d98b8938-22fb-450e-ae1d-af078b6307c8
type: CatalogRecord
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

Snow Cover - Monthly [1984-2021]
type: Dataset
abstract: This dataset is a time-series of monthly snow cover maps over Switzerland computed from Landsat & Sentinel-2 Analysis Ready Data (ARD) for December 1984 to December 2021 These maps quantify the presence/absence of snow using the Snow Observation from Space algorithm developed by Poussin et al. in: https://doi.org/10.1016/j.srs.2023.100078 and in a submitted paper (Snow Observation from Space: An approach to map snow cover from four decades of Landsat and Sentinel-2 imageries across Switzerland). Snow cover is an Essential Climate Variables (ECV) playing a significant role in the climate system due to its high albedo and heat insulation. Snow cover also contributes to soil moisture and runoff, making it a crucial variable for monitoring climate change. Values ranges from 0 to 2. The monthly snow cover products have values ranging from 0 to 2 with the following classification for each pixel: • 0 when the pixel is snow-free (i.e., land), • 1 when the pixel is covered with snow, • 2 when the pixel is covered with clouds (including cloud shadow), • NA when the pixel is classified as water or lies outside of Switzerland. Data format: GeoTiff
keyword: snow
keyword: water
theme: landscape model
theme: nature
theme: Landsat
theme: raster data
theme: imageryBaseMapsEarthCover
theme: environment
theme: geoscientificInformation
spatial: Polygon
temporal: 1984-01-01 / 2021-12-31
publisher: UNIGE/GRID
accrual periodicity: asNeeded
granularity: 25000
license: license
license: Creative Commons Attribution 4.0 International
distribution: Snow Cover - Monthly [1984-2021] - Switzerland
distribution: sdc:snowcover
data quality: This dataset has been produced using Landsat and Sentinel-2 data from the Swiss Data Cube

https://geonetwork.swissdatacube.org/geonetwork/records/1008ba03-a57d-42d0-b7d7-3a861d91c4be
type: CatalogRecord
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

https://geonetwork.swissdatacube.org/geonetwork/records/ddd5e734-1f1a-4e06-9402-7041ec625119
type: CatalogRecord
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

https://geonetwork.swissdatacube.org/geonetwork/records/c5bc0095-4b9d-4a50-9c17-a2e5c08c4c9c
type: CatalogRecord
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

Leaf Area Index (LAI) - Landsat [1984-2021] - Switzerland
type: Dataset
abstract: This dataset is an time-serie of Landsat Analysis Ready Data (ARD)- derived Leaf Area Index (LAI) computed from Landsat 5-7-8 data. LAI is designed to analyze the foliage surface of our planet and it estimates the quantity of leaves in a specific region using the forumla LAI= 3.618*EVI - 0.118. For more details see Boegh et al. (2002) DOI: 10.1016/S0034-4257(01)00342-X LAI is a unitless measure that is calculated as the ratio of the one-sided (illuminated) foliage area to the soil surface it can cover. This vegetation index is important to monitor crop and forest health, the environment, and climatic conditions. Values are provided as integer and multiplied by 1000 Metrics: annual (_annual) and seasonal (_spring; _summer; _autumn; _winter) mean (_nanmean), standard dev (_nanstd), min (_nanmin), max (_nanmax), median (_nanmedian), and amplitude (_range) Data format: GeoTiff
keyword: vegetation
keyword: lai
theme: landscape model
theme: nature
theme: Landsat
theme: raster data
theme: imageryBaseMapsEarthCover
theme: environment
theme: geoscientificInformation
spatial: Polygon
temporal: 1984-01-01 / 2021-12-31
publisher: UNIGE/GRID
accrual periodicity: asNeeded
granularity: 25000
license: otherRestictions
license: Creative Commons Attribution 4.0 International
distribution: Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
distribution: Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
distribution: Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
distribution: Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
distribution: Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
data quality: This dataset has been produced using Landsat data from the Swiss Data Cube

https://geonetwork.swissdatacube.org/geonetwork/records/4dc0defe-68c3-4546-8608-33c5c8351c11
type: CatalogRecord
primary topic: ls5 ledaps swiss
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

Landsat 5 Analysis Ready Data
type: Dataset
abstract: This dataset is the Landsat 5 Analysis Ready Data (ARD) - Level 2 (surface reflectance) archive for Switzerland. Detailed description about the Landsat 5 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=226 The Landsat archive is extremely interesting because this is the longest EO program, initiated in 1972, it has provided continual and consistent observations for almost 50 years. Since 2008, the complete data archive has been provided under a free and open access policy. This has enabled dense time-series analysis, moving beyond simple diachronic comparison of a set of images, therefore dramatically improving capabilities to monitor environmental changes. To cover the whole of Switzerland, it requires eight Landsat 5 scenes (Path/Row: 193/027, 194/027, 195/027, 196/027, 193/028, 194/028, 195/028, 196/028) representing an area of latitude 44.9 to 48.7 and longitude 4.1 to 12.8. Data are downloaded as Collection 1/Tier 1 – Level 2 Surface Reflectance encompassing a surface of approximately 185km by 180km. Collection 1/Tier 1 scenes are data with the highest available data quality (e.g., geometric and radiometric corrections) and considered suitable for time-series analysis (https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1). Level 2 corresponds to surface reflectance (i.e., the estimate based on Landsat sensor observations of the fraction of incoming solar radiation reflected from Earth’s surface). These data are corrected for atmospheric perturbations (e.g., aerosol scattering, thin clouds) enabling direct comparison between multiple images and dates. This corresponds to the ARD level. Landsat data are provided by USGS with Quality Assessment (QA) information to help users to determine their suitability for specific applications. An 8-bit LandsatLook Quality Image and 16-bit Quality Assessment Band40 are also included. Details on each file are described at: https:/…
keyword: Swiss Data Cube
keyword: Earth Observations
keyword: Landsat 5
keyword: Analysis Ready Data
keyword: Switzerland
theme: environment
theme: geoscientificInformation
theme: imageryBaseMapsEarthCover
spatial: Polygon
temporal: 1984 / 2013
publisher: UNEP/GRID-Geneva
accrual periodicity: continual
granularity: 30
language: eng
license: restricted
license: license
distribution: Jupyter Notebook
distribution: SDC Web UI
distribution: Yareta Repository
data quality: Landsat Collection 1/Tier 1 – Level 2 Surface Reflectance

https://geonetwork.swissdatacube.org/geonetwork/records/e1ad9b5d-2287-4cd0-9b89-08ab4cf627f6
type: CatalogRecord
primary topic: ls8 lasrc swiss
conforms to: 32557.html
issued: 2024-08-13
modified: 2024-08-13

Landsat 8 Analysis Ready Data
type: Dataset
abstract: This dataset is the Landsat 5 Analysis Ready Data (ARD) - Level 2 (surface reflectance) archive for Switzerland. Detailed description about the Landsat 8 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=547 The Landsat archive is extremely interesting because this is the longest EO program, initiated in 1972, it has provided continual and consistent observations for almost 50 years. Since 2008, the complete data archive has been provided under a free and open access policy. This has enabled dense time-series analysis, moving beyond simple diachronic comparison of a set of images, therefore dramatically improving capabilities to monitor environmental changes. To cover the whole of Switzerland, it requires eight Landsat 8 scenes (Path/Row: 193/027, 194/027, 195/027, 196/027, 193/028, 194/028, 195/028, 196/028) representing an area of latitude 44.9 to 48.7 and longitude 4.1 to 12.8. Data are downloaded as Collection 1/Tier 1 – Level 2 Surface Reflectance encompassing a surface of approximately 185km by 180km. Collection 1/Tier 1 scenes are data with the highest available data quality (e.g., geometric and radiometric corrections) and considered suitable for time-series analysis (https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1). Level 2 corresponds to surface reflectance (i.e., the estimate based on Landsat sensor observations of the fraction of incoming solar radiation reflected from Earth’s surface). These data are corrected for atmospheric perturbations (e.g., aerosol scattering, thin clouds) enabling direct comparison between multiple images and dates. This corresponds to the ARD level. Landsat data are provided by USGS with Quality Assessment (QA) information to help users to determine their suitability for specific applications. An 8-bit LandsatLook Quality Image and 16-bit Quality Assessment Band40 are also included. Details on each file are described at: https:/…
keyword: Swiss Data Cube
keyword: Earth Observations
keyword: Landsat 8
keyword: Analysis Ready Data
keyword: Switzerland
theme: environment
theme: geoscientificInformation
theme: imageryBaseMapsEarthCover
spatial: Polygon
temporal: 2013 / 2023
publisher: UNEP/GRID-Geneva
accrual periodicity: continual
granularity: 30
language: eng
license: restricted
license: license
distribution: Jupyter Notebook
distribution: SDC Web UI
distribution: Yareta Repository
data quality: Landsat Collection 1/Tier 1 – Level 2 Surface Reflectance

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undefined
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Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Snow Cover - Monthly [1984-2021] - Switzerland
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Normalized Difference Water Index (NDWI) - Annual Mean - Switzerland
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Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
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Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
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Université de Genève
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UNIGE/GRID
type: Organization

University of Geneva
type: Organization

UNEP/GRID-Geneva
type: Organization

Gregory Giuliani
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Julie Italiano
type: Agent

Denisa Rodila
type: Agent

Bruno Chatenoux
type: Agent

Charlotte Poussin
type: Agent

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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
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Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
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Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
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Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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SDC Web UI
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Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
type: Distribution
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
type: Distribution
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Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
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Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
type: Distribution
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undefined
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Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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format: DOI

Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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Jupyter Notebook
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SDC Web UI
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Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Snow Cover - Monthly [1984-2021] - Switzerland
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sdc:snowcover
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Normalized Difference Water Index (NDWI) - Annual Mean - Switzerland
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Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
type: Distribution
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
type: Distribution
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Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
type: Distribution
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format: DOI

Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
type: Distribution
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undefined
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Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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Jupyter Notebook
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SDC Web UI
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Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
type: Distribution
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Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
type: Distribution
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format: DOI

Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
type: Distribution
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undefined
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Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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SDC Web UI
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Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
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Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
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Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
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undefined
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Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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Jupyter Notebook
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SDC Web UI
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
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Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Snow Cover - Monthly [1984-2021] - Switzerland
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Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
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Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
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Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
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Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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Jupyter Notebook
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Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Normalized Difference Water Index (NDWI) - Annual Mean - Switzerland
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Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
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Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
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Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
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Normalized Difference Vegetation Index (NDVI) - Seasonal Mean - Switzerland
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2017, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2020, Sentinel-2]
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Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]
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Jupyter Notebook
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SDC Web UI
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Enhanced Vegetation Index (EVI) - Switzerland [1984-1989, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2000-2009, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [1990-1999, Landsat]
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Enhanced Vegetation Index (EVI) - Switzerland [2010-2019, Landsat]
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Snow Cover - Monthly [1984-2021] - Switzerland
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Normalized Difference Water Index (NDWI) - Annual Mean - Switzerland
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Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland
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Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]
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Leaf Area Index (LAI) - Switzerland [1990-1999, Landsat]
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Leaf Area Index (LAI) - Switzerland [2000-2009, Landsat]
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Leaf Area Index (LAI) - Switzerland [2010-2019, Landsat]
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Leaf Area Index (LAI) - Switzerland [2020-2021, Landsat]
type: Distribution
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