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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...

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Detalles Bibliográficos
Autores principales: Zhang, Chen, Yang, Zhengwei, Di, Liping, Yu, Eugene G., Zhang, Bei, Han, Weiguo, Lin, Li, Guo, Liying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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/).
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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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