Spatio-Temporal Analysis and Impact of Land Use Land Cover in Eco-Environmental Quality Based on Remote Sensing Ecological Index (RSEI): A Case Study of Rupandehi District, Nepal DOI Open Access
Gaurav Parajuli,

Yogesh Regmi,

Bimal Pokhrel

et al.

Published: July 8, 2024

The evaluation of Eco-Environmental Quality (EEQ) is important to maintain the quality ecology and crucial for protection environment promote sustainable development. In past 30 years, Rupandehi district has gone into rapid urbanization population growth due migration people causing drastic changes in Land use. This study takes as a area analyses land use change dynamics its impact on ecological from 1993 2023. utilizes cloud computing capability Google Earth Engine (GEE) extract multiple indices using Landsat remote sensing data. We also applied Thresholding approach various spectral information GEE. Remote Sensing Ecological Indices (RSEI) was constructed Principal Component Analysis (PCA) monitor effect Use Cover (LULC) analysed. result shows that overall good ranging 0.59 0.67 2023 with significant change. eco-environmental deteriorating because sharp increase built-up areas deforestation well loss agricultural land. Meanwhile, spatial temporal distribution collides area. provides an accurate assessment monitors it providing scientific basis researchers, government, others preserve eco-friendly

Language: Английский

Spatio-Temporal Analysis and Impact of Land Use Land Cover in Eco-Environmental Quality Based on Remote Sensing Ecological Index (RSEI): A Case Study of Rupandehi District, Nepal DOI Open Access
Gaurav Parajuli,

Yogesh Regmi,

Bimal Pokhrel

et al.

Published: July 8, 2024

The evaluation of Eco-Environmental Quality (EEQ) is important to maintain the quality ecology and crucial for protection environment promote sustainable development. In past 30 years, Rupandehi district has gone into rapid urbanization population growth due migration people causing drastic changes in Land use. This study takes as a area analyses land use change dynamics its impact on ecological from 1993 2023. utilizes cloud computing capability Google Earth Engine (GEE) extract multiple indices using Landsat remote sensing data. We also applied Thresholding approach various spectral information GEE. Remote Sensing Ecological Indices (RSEI) was constructed Principal Component Analysis (PCA) monitor effect Use Cover (LULC) analysed. result shows that overall good ranging 0.59 0.67 2023 with significant change. eco-environmental deteriorating because sharp increase built-up areas deforestation well loss agricultural land. Meanwhile, spatial temporal distribution collides area. provides an accurate assessment monitors it providing scientific basis researchers, government, others preserve eco-friendly

Language: Английский

Citations

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