<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Assessment of spatio-temporal vegetation dynamics in tropical arid ecosystem of India using MODIS time-series vegetation indices</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">G P A</mods:namePart><mods:namePart type="family">Reddy</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">N</mods:namePart><mods:namePart type="family">Kumar</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">N</mods:namePart><mods:namePart type="family">Sahu</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R</mods:namePart><mods:namePart type="family">Srivastava</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S K</mods:namePart><mods:namePart type="family">Singh</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">LG K</mods:namePart><mods:namePart type="family">Naidu</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">G R</mods:namePart><mods:namePart type="family">Chary</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">C M</mods:namePart><mods:namePart type="family">Biradar</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">M K</mods:namePart><mods:namePart type="family">Gumma</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">B S</mods:namePart><mods:namePart type="family">Reddy</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">J N</mods:namePart><mods:namePart type="family">Kumar</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>In the present study, we analyzed spatio-temporal vegetation dynamics to identify and delineate the vegetation stress zones in&#13;
tropical arid ecosystem of Anantapuramu district, Andhra Pradesh, India, using Normalized Difference Vegetation Index&#13;
(NDVI), Vegetation Condition Index (VCI), and Vegetation Anomaly Index (VAI) derived from time-series Moderate&#13;
Resolution Imaging Spectroradiometer (MODIS) 16-day products (MOD13Q1) at 250 m spatial resolution for the growing&#13;
season (June to September) of 19 years during 2000 to 2018. The 1-month Standardized Precipitation Index (SPI) was computed&#13;
for 30 years (1989 to 2018) to quantify the precipitation deficit/surplus regions and assess its influence on vegetation dynamics.&#13;
The growing season mean NDVI and VCI were correlated with growing season mean 1-month SPI of dry (2003) and wet (2007)&#13;
years to analyze the spatio-temporal vegetation dynamics. The correlation analysis between SPI and NDVI for dry year (2003)&#13;
showed strong positive correlation (r = 0.89). Analysis of VAI for dry year (2003) indicates that the central, western, and southwestern&#13;
parts of the district reported high vegetation stress with VAI of less than − 2.0. This might be due to the fact that central&#13;
and south-western parts of the district are more prone to droughts than the other parts of the district. The correlation analysis of&#13;
SPI, NDVI, and VCI distinctly shows the impact of rainfall on vegetation dynamics. The study clearly demonstrates the&#13;
robustness of NDVI, VCI, and VAI derived from time-series MODIS data in monitoring the spatio-temporal vegetation dynamics&#13;
and delineate vegetation stress zones in tropical arid ecosystem of India.</mods:abstract><mods:classification authority="lcc">GIS Techniques/Remote Sensing</mods:classification><mods:classification authority="lcc">Semi-Arid Tropics</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2020-06</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Springer, Saudi Society for Geosciences</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mods:mods>