MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061 ...
The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MYD13A1) Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Veget...
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NSF Arctic Data Center
2021
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Online Access: | https://dx.doi.org/10.18739/a22j6862j https://arcticdata.io/catalog/view/doi:10.18739/A22J6862J |
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ftdatacite:10.18739/a22j6862j 2024-09-30T14:31:04+00:00 MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061 ... Didan, Kamel Huete, Alfredo 2021 text/xml https://dx.doi.org/10.18739/a22j6862j https://arcticdata.io/catalog/view/doi:10.18739/A22J6862J en eng NSF Arctic Data Center Arctic Report Card 2023 Dataset dataset 2021 ftdatacite https://doi.org/10.18739/a22j6862j 2024-09-02T09:13:42Z The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MYD13A1) Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. Provided along with the vegetation layers and two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers. ... Dataset Arctic DataCite Arctic |
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English |
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Arctic Report Card 2023 |
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Arctic Report Card 2023 Didan, Kamel Huete, Alfredo MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061 ... |
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Arctic Report Card 2023 |
description |
The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MYD13A1) Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. Provided along with the vegetation layers and two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers. ... |
format |
Dataset |
author |
Didan, Kamel Huete, Alfredo |
author_facet |
Didan, Kamel Huete, Alfredo |
author_sort |
Didan, Kamel |
title |
MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061 ... |
title_short |
MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061 ... |
title_full |
MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061 ... |
title_fullStr |
MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061 ... |
title_full_unstemmed |
MODIS/Aqua Vegetation Indices 16-Day L3 Global 500m SIN Grid V061 ... |
title_sort |
modis/aqua vegetation indices 16-day l3 global 500m sin grid v061 ... |
publisher |
NSF Arctic Data Center |
publishDate |
2021 |
url |
https://dx.doi.org/10.18739/a22j6862j https://arcticdata.io/catalog/view/doi:10.18739/A22J6862J |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_doi |
https://doi.org/10.18739/a22j6862j |
_version_ |
1811635742904942592 |