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P. M. Mather and M. Koch, Computer Processing of Remotely-Sensed Images. Wiley, 2011.

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Article

Relationship Analysis between Rainfall and Vegetation Cover in Vaigai Dam Reserve Forest, Tamil Nadu, India Using GEE

1Department of Environmental Sciences, Bharathiar University, India


Applied Ecology and Forestry Science. 2022, Vol. 5 No. 1, 14-19
DOI: 10.12691/aefs-5-1-3
Copyright © 2022 Science and Education Publishing

Cite this paper:
Rajmohan Ramamoorthy, Radhakrishnan Thulasi, Manimekalan Arunachalam. Relationship Analysis between Rainfall and Vegetation Cover in Vaigai Dam Reserve Forest, Tamil Nadu, India Using GEE. Applied Ecology and Forestry Science. 2022; 5(1):14-19. doi: 10.12691/aefs-5-1-3.

Correspondence to: Manimekalan  Arunachalam, Department of Environmental Sciences, Bharathiar University, India. Email: manimekalan@buc.edu.in

Abstract

Climatic factors are the most important factor for vegetation changes on the earth's surface. The objective of the study is the application of modern scientific tools such as remote sensing to analyze the vegetation changes over a year concerning climatic changes (2005-2020). The Landsat 5, 7 and 8 satellite image was utilized which was obtained from the Google earth engine for studying vegetation changes. The main type of vegetation changes studied in the study area is high vegetation, moderate vegetation, low vegetation, and barren land. Earth engine was used for NDVI classification of the study area in periods of 2005-2020 and collected rainfall data of respective years from the meteorological lab. An ArcGIS software tool was used to acquire the shapefile from the Survey of India Topo sheet. Correlation analysis between the rainfall and vegetation changes will help to conserve nature and reclamation activities in the study area.

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