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Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE
This paper describes a set of Near-Real-Time (NRT) Vegetation Index (VI) data products for the Conterminous United States (CONUS) based on Moderate Resolution Imaging Spectroradiometer (MODIS) data from Land, Atmosphere Near-real-time Capability for EOS (LANCE), an openly accessible NASA NRT Earth o...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352751/ https://www.ncbi.nlm.nih.gov/pubmed/35927555 http://dx.doi.org/10.1038/s41597-022-01565-2 |
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author | Zhang, Chen Yang, Zhengwei Di, Liping Yu, Eugene G. Zhang, Bei Han, Weiguo Lin, Li Guo, Liying |
author_facet | Zhang, Chen Yang, Zhengwei Di, Liping Yu, Eugene G. Zhang, Bei Han, Weiguo Lin, Li Guo, Liying |
author_sort | Zhang, Chen |
collection | PubMed |
description | This paper describes a set of Near-Real-Time (NRT) Vegetation Index (VI) data products for the Conterminous United States (CONUS) based on Moderate Resolution Imaging Spectroradiometer (MODIS) data from Land, Atmosphere Near-real-time Capability for EOS (LANCE), an openly accessible NASA NRT Earth observation data repository. The data set offers a variety of commonly used VIs, including Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Mean-referenced Vegetation Condition Index (MVCI), Ratio to Median Vegetation Condition Index (RMVCI), and Ratio to previous-year Vegetation Condition Index (RVCI). LANCE enables the NRT monitoring of U.S. cropland vegetation conditions within 24 hours of observation. With more than 20 years of observations, this continuous data set enables geospatial time series analysis and change detection in many research fields such as agricultural monitoring, natural resource conservation, environmental modeling, and Earth system science. The complete set of VI data products described in the paper is openly distributed via Web Map Service (WMS) and Web Coverage Service (WCS) as well as the VegScape web application (https://nassgeodata.gmu.edu/VegScape/). |
format | Online Article Text |
id | pubmed-9352751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93527512022-08-06 Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE Zhang, Chen Yang, Zhengwei Di, Liping Yu, Eugene G. Zhang, Bei Han, Weiguo Lin, Li Guo, Liying Sci Data Data Descriptor This paper describes a set of Near-Real-Time (NRT) Vegetation Index (VI) data products for the Conterminous United States (CONUS) based on Moderate Resolution Imaging Spectroradiometer (MODIS) data from Land, Atmosphere Near-real-time Capability for EOS (LANCE), an openly accessible NASA NRT Earth observation data repository. The data set offers a variety of commonly used VIs, including Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Mean-referenced Vegetation Condition Index (MVCI), Ratio to Median Vegetation Condition Index (RMVCI), and Ratio to previous-year Vegetation Condition Index (RVCI). LANCE enables the NRT monitoring of U.S. cropland vegetation conditions within 24 hours of observation. With more than 20 years of observations, this continuous data set enables geospatial time series analysis and change detection in many research fields such as agricultural monitoring, natural resource conservation, environmental modeling, and Earth system science. The complete set of VI data products described in the paper is openly distributed via Web Map Service (WMS) and Web Coverage Service (WCS) as well as the VegScape web application (https://nassgeodata.gmu.edu/VegScape/). Nature Publishing Group UK 2022-08-04 /pmc/articles/PMC9352751/ /pubmed/35927555 http://dx.doi.org/10.1038/s41597-022-01565-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Zhang, Chen Yang, Zhengwei Di, Liping Yu, Eugene G. Zhang, Bei Han, Weiguo Lin, Li Guo, Liying Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE |
title | Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE |
title_full | Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE |
title_fullStr | Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE |
title_full_unstemmed | Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE |
title_short | Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE |
title_sort | near-real-time modis-derived vegetation index data products and online services for conus based on nasa lance |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352751/ https://www.ncbi.nlm.nih.gov/pubmed/35927555 http://dx.doi.org/10.1038/s41597-022-01565-2 |
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