International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 05 | May 2024
p-ISSN: 2395-0072
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Spatial and Temporal Variation of NDVI in Nagpur District, India Using LANDSAT Images Wael Albawwab1, Tauseef Ahmad Ansari2 Assistant Professor1, University of Buraimi, Oman Assistant Professor2, University of Buraimi, Oman -------------------------------------------------------------------------***-----------------------------------------------------------------------Abstract: Normalized Difference Vegetation Index (NDVI) is a parameter of finding the vegetation on the earth surface. It is used to monitor the climatic changes, occurs in the vegetation, forest health, indicate water stress in vegetation. In this research, NDVI from 2000 to 2011 generated to analyzed the changes occurred in vegetation cover. It is found that the overall NDVI value was in the range of -0.20 to 0.94 from year 2000 to 2011. It is also observed that the NDVI value is in the range of 0.75 to 0.94 in north part of the district. While the central and south part shows range of -0.20 to 0.45 and remaining areas in the range of 0.45 to 0.75. In the 11 years, most of the green spaces has been reduced in the Nagpur District from last 19 years. Hence, there is a need of proper planning and management for maintaining the ecosystem, and there must be the rules for sustainable development.
Key Words: Normalized Difference Vegetation Index (NDVI), Landsat, Land Use (LS) / Land Cover (LC), Rainfall, Arc GIS etc.
Introduction: The NDVI is a remotely sensed measure of vegetation greenness and is related to various properties of vegetation including its growth and productivity (Gamon et al. 1995). NDVI has found a wide application in vegetative studies as it has been used to estimate crop yields, pasture performance, and rangeland carrying capacities among others. It is often directly related to other ground parameters such as percent of ground cover, photosynthetic activity of the plant, surface water, leaf area index and the amount of biomass. NDVI is reliable indicator of vegetation changes at both global (Kawabata et al., 2001). The possibility of expressing the relationship between precipitation and vegetation has been greatly improved upon by the development of meteorological instruments and the collection of systematic climatic observations. (Areola M. et al., 2018). In India, the climate is dominated by the monsoon, although monsoonal precipitation is not uniform throughout the country; it varies with place and time (Diwan 2002). NDVI has higher sensitivity corresponding with crown density change than other vegetation index. Therefore, information on degree of forest degradation including forest fragmentation need to be defined to formulate a strategy for habitat and ecosystem management (Priatna D. et al. 2012). Bhandari and Kumar (2012), used multi-spectral remote sensing data to find spectral signature of vegetation index, land cover, concrete road structure, urban areas, rocky areas. Yang. and Gong (2013), highlighted some important discoveries about the climate system that have not been detected by climate models and conventional observations; Bothale and Katpatal (2014), studied the variability of rainfall with El Niño Southern Oscillation (ENSO) events at the watershed level to determine the pattern of water available for agricultural planning and water and soil conservation. study area was analyzed in combination with NDVI data from the Moderate Resolution Imaging Spectro radiometer (MODIS) sensor. They found the correlations between ENSO events, rainfall, and vegetation. Rainfall and vegetation shows a positive variance during La Niña events and a negative variance during El Niño events. The impacts of moderate to severe ENSO events (in 2009 and 2010) can be mainly observed on rainfall and vegetation. The sensitivity of vegetation cover with changes in precipitation patterns and that reduction in rainfall and vegetation greenness across large parts of Amazonia (Hilker and Sellers, 2014; There are various scientists (Kinthada.N.R, and Gurram.M.K, 2014; Bothale.R.V and Katpatal.Y.B, 2015; Jiao.N.Z,et.al, 2015; Gandhi.M.et.al 2015; Mazzarino. M and Finn. J.T, 2015; Rishma.C and Katpatal.Y.B, 2016; Kumara.N and Tischbeinb.B, 2017; Zaitunah A., et.al. 2018) evaluated the spatial and temporal pattern in the sensitivity of vegetation to rainfall.
Study Area: The Nagpur city is located at 21° North and 79° East. Nagpur is Maharashtra’s third largest city and is in fact located on the geographical center of India. Also known as the Orange City, After Indian Independence, Nagpur was selected as Maharashtra’s second capital. Sites have rich soil with high quantities of clay in Nagpur. Nagpur is surrounded by
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