Detectionof Changein Vegetation Cover Using Multi-Spectraland Multi-Temporal Informationfor District Sargodha Strictly as per the compliance and regulations of

Dr. Farooq Ahmad; Farooq Ahmad; Kashif Shafique; Qurat-ul-ain Fatima; Hira Jannat Butt

Authors

Dr. Farooq Ahmad
Farooq Ahmad
Kashif Shafique
Qurat-ul-ain Fatima
Hira Jannat Butt

Keywords:

hange detection, EVI, Landsat, multi-temporal, multi-spectral, NDVI, Pakistan., Pakistan

Abstract

Detection of change is the measure of the distinct data framework and thematic change information that can direct to more tangible insights into underlying process involving land cover and landuse changes. Monitoring the locations and distributions of land cover changes is important for establishing links between policy decisions, regulatory actions and subsequent landuse activities. Change detection is the process that helps in determining the changes associated with landuse and land cover properties with reference to geo-registered multi-temporal remote sensing information. It assists in identifying change between two or more dates that is uncharacterized of normal variation. After image to image registrations, the normalized difference vegetation index (NDVI), the transformed normalized differ-rence vegetation index (TNDVI), the enhanced vegetation index (EVI) and the soil-adjusted vegetation index (SAVI) values were derived from Landsat ETM+ dataset and an image differencing algorithm was applied to detect changes. This paper presents an application of the use of multitemporal Landsat ETM+ images and multi-spectral MODIS (Terra) EVI/NDVI time-series vegetation phenology metrics for the District Sargodha.

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Detectionof Changein Vegetation Cover Using Multi-Spectraland Multi-Temporal Informationfor District Sargodha Strictly as per the compliance and regulations of. (2013). Global Journal of Human-Social Science, 13(2), 17-26. https://socialscienceresearch.org/index.php/GJHSS/article/view/

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