cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26037/yareta:oofvipvmavb45fruxk5u7s7kci
title: Moisture Stress Index (MSI) - Switzerland [2017]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Moisture Stress Index (MSI) computed from Sentinel-2 data. MSI is a reflectance measurement, sensitive to increases in leaf water content using the forumla MSI=b11/b8. See Rock et al. (1985) DOI: 

As water content in vegetation canopy leaves increases, the absorbtion at wavelengths around 1599 nm also increases. Absorption at 819nm is used as a reference, since it’s nearly unaffected by changes in water content. Applications of the MSI include canopy stress analysis, productivity prediction and modelling, fire hazard analysis, and studies of ecosystem physiology. The index is inverted relative to the other water vegetation indices; higher values indicate greater water stress and less water content. 

The values of this index range from 0 to more than 3. The common range for green vegetation is 0.4 to 2.
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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:srztrhvopjdkbpvi7mdi3w7bxy
title: Anthocyanin Reflectance Index (ARI) - Switzerland [2019]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Anthocyanin Reflectance Index (ARI) computed from Sentinel-2 data. ARI is is a reflectance measurement, sensitive to vegetation pigment content using the forumla ARI = (1/b3) - (1/b5). See Gitelson et al. (2009) DOI: 10.3732/ajb.0800395. 

Anthocyanins are pigments common in higher plants, causing their red, blue and purple coloration. They provide valuable information about the physiological status of plants, as they are considered indicators of various types of plant stresses.
The reflectance of anthocyanin is highest around 550nm. However, the same wavelengths are reflected by chlorophyll as well. To isolate the anthocyanins, the 700nm spectral band, that reflects only chlorophyll and not anthocyanins, is subtracted.

ARI values for the examined trees in this original article ranged in values from 0 to 0.2.
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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:wo576al2fnffnbbw4nuejp6owm
title: Anthocyanin Reflectance Index (ARI) - Switzerland [2020]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Anthocyanin Reflectance Index (ARI) computed from Sentinel-2 data. ARI is is a reflectance measurement, sensitive to vegetation pigment content using the forumla ARI = (1/b3) - (1/b5). See Gitelson et al. (2009) DOI: 10.3732/ajb.0800395. 

Anthocyanins are pigments common in higher plants, causing their red, blue and purple coloration. They provide valuable information about the physiological status of plants, as they are considered indicators of various types of plant stresses.
The reflectance of anthocyanin is highest around 550nm. However, the same wavelengths are reflected by chlorophyll as well. To isolate the anthocyanins, the 700nm spectral band, that reflects only chlorophyll and not anthocyanins, is subtracted.

ARI values for the examined trees in this original article ranged in values from 0 to 0.2.
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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:35go5tfttnbphjtbw5bq7k7uwy
title: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2016, Sentinel-2]

description: 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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:4np5gnywcrbp3mevwe4yh5xtfu
title: Cellosaurus release 43

description: Release 43 of the Cellosaurus
DOI: 10.26037/yareta:7uwwnjll7vfqdn647ol4urjndy
title: Enhanced Vegetation Index (EVI) - Switzerland [2020-2021, Landsat]

description: 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 is usually used for areas with high LAI where NDVI is expected to saturate.
EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health.  

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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:adsi4itrdffb7mpbzcbkhrho7i
title: Green Chlorophyll Vegetation Index (GCI) - Switzerland [1984-1989, Landsat]

description: This dataset is an time-serie of Landsat Analysis Ready Data (ARD)- derived Green Chlorophyll Vegetation Index (GCI) computed from Landsat 5-7-8 data. GCI is used to estimate the content of leaf chlorophyll in various species of plants using the forumla GCI=(NIR/Green) – 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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:azgyirmvhfelxamdtukvvc3tmm
title:  Green Chlorophyll Vegetation Index (GCI) - Switzerland [2018, Sentinel-2]

description: 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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:bnvt2erzfzdvbib6vz5zsi5p4m
title: Enhanced Vegetation Index (EVI) - Switzerland [2016, Sentinel-2]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Sentinel-2 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*(b8 − b4)/(b8 + 6*b4 − 7.5*b2 + 1). See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2

EVI is usually used for areas with high LAI where NDVI is expected to saturate.
EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health.  

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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:d6kk4ta7czbvnh6qjxowevntra
title: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2019, Sentinel-2]

description: 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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:durinmpn7jcd5exsc332kg43ey
title: Leaf Area Index (LAI) - Switzerland [2020, Sentinel-2]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Leaf Area Index (LAI) computed from Sentinel-2 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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:ghvxtm3d2naenafsu6ungo2sny
title: Impairments and sagittal kinematics of the lower limbs of children with cerebral palsy 

description: This deposit contains data from clinical examinations and clinical gait analysis from a sample of children with cerebral palsy. Clinical examination data are in the form of composite scores. Clinical gait analysis data are the sagittal kinematics of the pelvis, hip, knee, and ankle computed with the conventional gait model. Data are separated based on the diagnosis, i.e. unilateral or bilateral cerebral palsy.
DOI: 10.26037/yareta:hapbjzl6dvbwnb5modewqozbfm
title: Enhanced Vegetation Index (EVI) - Switzerland [2018, Sentinel-2]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Sentinel-2 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*(b8 − b4)/(b8 + 6*b4 − 7.5*b2 + 1). See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2

EVI is usually used for areas with high LAI where NDVI is expected to saturate.
EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health.  

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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:hgw56omleveiplgftnd5ugwpja
title: Enhanced Vegetation Index (EVI) - Switzerland [2021, Sentinel-2]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Sentinel-2 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*(b8 − b4)/(b8 + 6*b4 − 7.5*b2 + 1). See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2

EVI is usually used for areas with high LAI where NDVI is expected to saturate.
EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health.  

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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:i5gwtybi7rgmfdqxzbsnn4ed5y
title: Leaf Area Index (LAI) - Switzerland [2019, Sentinel-2]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Leaf Area Index (LAI) computed from Sentinel-2 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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:ijn5rrs7dvdhzdnwrfktm65xeq
title: Enhanced Vegetation Index (EVI) - Switzerland [2017, Sentinel-2]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Sentinel-2 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*(b8 − b4)/(b8 + 6*b4 − 7.5*b2 + 1). See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2

EVI is usually used for areas with high LAI where NDVI is expected to saturate.
EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health.  

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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:ipflpaiwhzekladsbt3gb5qgfe
title: Leaf Area Index (LAI) - Switzerland [1984-1989, Landsat]

description: 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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:jyhmd3ggnvf35oimmpfne3gbdu
title: Derenne_Eve_2021_PhDThesis_UniversityGeneva

description: The Bell Beaker phenomenon in third millennium BCE Switzerland: Investigating its local integration and exploring the relationship between funerary and domestic contexts through the lens of pottery technical traditions in the Upper Rhône valley
DOI: 10.26037/yareta:of5ddowrxvbtjjurioduueopey
title: Enhanced Vegetation Index (EVI) - Switzerland [2020, Sentinel-2]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Sentinel-2 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*(b8 − b4)/(b8 + 6*b4 − 7.5*b2 + 1). See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2

EVI is usually used for areas with high LAI where NDVI is expected to saturate.
EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health.  

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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:tilf3ibfnrafjpj6xpnea3vhpm
title: Enhanced Vegetation Index (EVI) - Switzerland [2019, Sentinel-2]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Sentinel-2 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*(b8 − b4)/(b8 + 6*b4 − 7.5*b2 + 1). See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2

EVI is usually used for areas with high LAI where NDVI is expected to saturate.
EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health.  

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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:tvifxa7pwzcqhb3ydw6yjjsjbu
title: Supplementary Data

description: Supplementary data pertaining to Fig.20e, Fig.30h and Fig.30i of: International Journal of Modern Physics B, 2375001 (2022), https://www.worldscientific.com/doi/10.1142/S0217979223750012
DOI: 10.26037/yareta:uk2woyfgcnfadfveve36xpzauq
title: Leaf Area Index (LAI) - Switzerland [2021, Sentinel-2]

description: This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Leaf Area Index (LAI) computed from Sentinel-2 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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project
DOI: 10.26037/yareta:vfrp4zrvwnhmlhcjcspeudb63e
title: Green Chlorophyll Vegetation Index (GCI) - Switzerland [2021, Switzerland]

description: 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  

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project