Near-real-time MODIS-derived vegetation index data products for CONUS (sample data)

This is a Near-Real-Time (NRT) Vegetation Index (VI) data set for the Conterminous United States (CONUS) based on MODIS data from Land, Atmosphere Near-real-time Capability for EOS (LANCE), an openly accessible NASA near-real-time EO data repository. The data set includes a variety of commonly used...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Zhang, Chen, Yang, Zhengwei, Di, Liping, Yu, Eugene Genong, Zhang, Bei, Han, Weiguo, Lin, Li, Guo, Liying
Format: Dataset
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This is a Near-Real-Time (NRT) Vegetation Index (VI) data set for the Conterminous United States (CONUS) based on MODIS data from Land, Atmosphere Near-real-time Capability for EOS (LANCE), an openly accessible NASA near-real-time EO data repository. The data set includes 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. Meanwhile, this continuous data set with more than 20 years of vegetation condition observation would be suitable for time series analysis and change detection in many research fields such as agriculture, remote sensing, geographical information science and systems, environmental modeling, and Earth system science.This dataset includes a collection of sample VI data products, including daily NDVI from 6/7/2021 to 6/13/2021, and weekly/biweekly NDVI, VCI, MVCI, RMVCI, RVCI for week 23 in 2021. The complete dataset is free to access through the VegScape web application (https://nassgeodata.gmu.edu/VegScape/) as well as distributed via Web Map Service and Web Coverage Service (https://nassgeo.csiss.gmu.edu/VegScape/devhelp/help.html).
DOI:10.6084/m9.figshare.15130857