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

• Published in: Scientific data Vol. 9; no. 1
• Main Authors: Zhang, Chen, Yang, Zhengwei, Di, Liping, Yu, Eugene G., Zhang, Bei, Han, Weiguo, Lin, Li, Guo, Liying
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group 04.08.2022; Nature Publishing Group UK
• Subjects: Data Descriptor; Remote sensing; Vegetation; United States > US
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-022-01565-2

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/ ).