Remote Sensing Techniques as a Tool for Environmental Monitoring in and around of Rajbandh Landfill at Khulna City
DOI:
https://doi.org/10.3329/jes.v13i2.63733Keywords:
Waste landfill, Landfill monitoring; remote sensing indices, KhulnaAbstract
Uncollected trash in the streets and other public areas, trash placed without regard for drainage systems, and trash that has contaminated water sources near uncontrolled dumps all contribute to a hazardous environment and public health situation in Khulna. The Batiaghata thana area, which contains the Rajbandh dump, was analyzed by computing the LST, NDVI, SAVI, and MSAVI. From a low of 23.00°C in 1995, the Batiaghata thana is predicted to reach a high of 41.43°C by 2020, courtesy of the Long Term Observational Dataset (LST). According to the NDVI results, the proportion of 'Bare Soil' in Batiaghata thana increased substantially from 1.20 percent to 4.57 percent, and the percentage of 'Structural Object' climbed from 1.25 percent to 23.06 percent. From 1995 to 2000, the maximum MSAVI value increased from 0.76 to 0.80. Results indicate that inappropriate waste management at the Rajbandh dump negatively affected local ecosystems.
Journal of Engineering Science 13(2), 2022, 127-137
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