Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE

Chen Zhang; Zhengwei Yang; Liping Di; Eugene G Yu; Bei Zhang; Weiguo Han; Li Lin; Liying Guo

doi:10.1038/s41597-022-01565-2

Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE

Sci Data. 2022 Aug 4;9(1):477. doi: 10.1038/s41597-022-01565-2.

Authors

Chen Zhang^{1

2}, Zhengwei Yang³, Liping Di^{4

5}, Eugene G Yu¹, Bei Zhang¹, Weiguo Han¹, Li Lin^{1

2}, Liying Guo¹

Affiliations

¹ Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, 22030, USA.
² Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, 22030, USA.
³ Research and Development Division, U.S. Department of Agriculture National Agricultural Statistics Service, Washington, DC, 20250, USA. zhengwei.yang@usda.gov.
⁴ Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, 22030, USA. ldi@gmu.edu.
⁵ Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, 22030, USA. ldi@gmu.edu.

Abstract

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/ ).

Abstract

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