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Monitoring and mapping of seasonal vegetation trend in Tamil Nadu using NDVI and NDWI imagery
Monitoring and mapping of seasonal vegetation trend in Tamil Nadu using NDVI and NDWI imagery
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Monitoring and mapping of seasonal vegetation trend in Tamil Nadu using NDVI and NDWI imagery
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Monitoring and mapping of seasonal vegetation trend in Tamil Nadu using NDVI and NDWI imagery
Monitoring and mapping of seasonal vegetation trend in Tamil Nadu using NDVI and NDWI imagery

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Monitoring and mapping of seasonal vegetation trend in Tamil Nadu using NDVI and NDWI imagery
Monitoring and mapping of seasonal vegetation trend in Tamil Nadu using NDVI and NDWI imagery
Journal Article

Monitoring and mapping of seasonal vegetation trend in Tamil Nadu using NDVI and NDWI imagery

2019
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Overview
In order to monitor vegetation growth and development over the districts and land covers of Tamil Nadu, India during the crop growing season viz., Khairf and Rabi of 2017, Moderate Resolution Imaging Spectroradiometer (MODIS) derived surface reflectance product (MOD09A1) which is available at 500 m resolution and 8-day temporal period was used to derive a time series based Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) for monitoring and mapping terrestrial vegetation trend analysis which showed areas in Tamil Nadu having vegetation greening and vegetation browning. The regression slope values derived from the trend analysis was utilized and the NDVI and NDWI seasonal trend showed majority of area in Tamil Nadu falling under positive trend during the Kharif season (86.52 per cent for NDVI and 90.29 per cent for NDWI). While irrespective of land cover classes, NDVI and NDWI during Kharif season showed a greater positive trend (greening) with least negative trend (browning) for vegetation growth over the land covers whereas during Rabi season it was observed to have a mix of positive trend and negative trend over the land covers. This study was carried out to show that a systematic study can be done for understanding changes over the landscape through the use of high spatial resolution satellite dataset such as MODIS, which provides detailed spatial and temporal description at regional scale. While a trend analysis using regression slope values can be considered for demonstrating the spatial and temporal consistency on land and vegetation dynamics.