A Geo‐spatial study for analysing temporal responses of NDVI to rainfall

• DOI: 10.1111/sjtg.12217
• Publication Date: 2017-10-25T09:22:41Z
• Authors: Arnab Kundu; DM Denis; NR Patel; Dipanwita Dutta
• Keywords: Vulnerability

Climate change has become a serious concern worldwide owing to its multifaceted impact upon the physical as well socio‐economic environment (IPCC, 2013). Vulnerability climate is much higher in developing countries like India, where economy mainly agro‐based and productivity from agricultural sector dependent summer monsoon rainfall. Hence, assessing quantitative relationship between vegetation patterns climatic influence an increasingly important study conducted on regional global scales. As cover plays key role conserving natural environment, studying spatio‐temporal trend of crucial identifying changes environment. We analysed spatial responses SPOT‐VGT NDVI TRMM based rainfall during sixteen year period (1998–2013) Bundelkhand region Central India. The Normalized Difference Vegetation Index (NDVI) proven be strong indicator productivity. Among factors, robustly influences both temporal outline NDVI. In this study, we used linear regression for analysing statistical among their trends. reveals varying pattern dynamics response over area.