NDLI: Advances in remote sensing for vegetation dynamics and agricultural management

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Advances in remote sensing for vegetation dynamics and agricultural management

Content Provider	NASA Technical Reports Server (NTRS)
Author	Tucker, Compton Puma, Michael
Copyright Year	2015
Description	Spaceborne remote sensing has led to great advances in the global monitoring of vegetation. For example, the NASA Global Inventory Modeling and Mapping Studies (GIMMS) group has developed widely used datasets from the Advanced Very High Resolution Radiometer (AVHRR) sensors as well as the Moderate Resolution Imaging Spectroradiometer (MODIS) map imagery and normalized difference vegetation index datasets. These data are valuable for analyzing vegetation trends and variability at the regional and global levels. Numerous studies have investigated such trends and variability for both natural vegetation (e.g., re-greening of the Sahel, shifts in the Eurasian boreal forest, Amazonian drought sensitivity) and crops (e.g., impacts of extremes on agricultural production). Here, a critical overview is presented on recent developments and opportunities in the use of remote sensing for monitoring vegetation and crop dynamics.\|\|\|\|\|\|\|\|\|\|\|\|
File Size	2449779
Page Count	17
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_20160000383
Archival Resource Key	ark:/13960/t7mq01w9z
Language	English
Publisher Date	2015-12-14
Access Restriction	Open
Subject Keyword	Variability Trends Remote Sensing Farm Crops Modis (radiometry) Vegetation Advanced Very High Resolution Radiometer Normalized Difference Vegetation Index Soil Moisture Fluorescence Corn Agriculture Modis Radiometry Drought Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Presentation

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