Opening book details…
Can I read Assessment of Land Use/Land Cover (LULC) Changes and Urban Growth Dynamics Using Remote Sensing in Dhaka City, Bangladesh on EtoBox?
Assessment of Land Use/Land Cover (LULC) Changes and Urban Growth Dynamics Using Remote Sensing in Dhaka City, Bangladesh by Md. Sajib Hossain; Mafizur Rahman is a book available to read on EtoBox.
What is Assessment of Land Use/Land Cover (LULC) Changes and Urban Growth Dynamics Using Remote Sensing in Dhaka City, Bangladesh about?
Dhaka, the capital city of Bangladesh is considered one of the main economic drivers of the country that contributes a significant amount to the nation's economy. Consequently, the city failed to cope with the increasing demand for accommodation, industrial and infrastructure development, which caused rapid and haphazard development in and around the city. As land is considered a finite resource, the proper use of it should not be underestimated. As a result, understanding the growth pattern of urban areas is of immense importance in urban planning. By applying remote sensing techniques, a series of spatiotemporal changes can be observed to identify possible ecologically sensitive areas. The study identified the spatiotemporal LULC pattern and measured the built-up dynamics and the growth intensity index of Dhaka and its nearby areas within 5 km using remote sensing techniques. The supervised classification technique was applied to classify the images into six different classes namely built-up, sandfill/barren land, water-body, vegetation, wetland and agricultural land. The study suggests that over the study period the built-up and sandfill/barren land have increased by 67% and 679
- Author
- Md. Sajib Hossain; Mafizur Rahman
- Publisher
- Springer Singapore, Imprint Springer
- Published
- 2021
- Language
- EN
- ISBN
- 9789811644115
- Subjects
- Science, Architecture, Sociology
More by Md. Sajib Hossain; Mafizur Rahman
Browse all works by Md. Sajib Hossain; Mafizur Rahman
Similar books
- Assessment of the Land Use and Landcover Changes Using Remote Sensing and GIS Techniques — Qamar Sultana; Asma Sultana; Zeenat Ara (2023)
- Hyperspectral Remote Sensing for Agriculture Land Use and Land Cover Classification — MuraliKrishna Iyyanki; Satya Sahithi Veeramallu (2023)
- Urban Green and Blue Spaces Dynamics—A Geospatial Analysis Using Remote Sensing, Machine Learning and Landscape Metrics in Rajshahi Metropolitan City, Bangladesh — Md. Rejaur Rahman; Atiqur Rahman (2023)
- Hyperspectral Remote Sensing in Urban Environments — Shailesh Shankar Deshpande and Arun B. Inamdar
- Scaling Up In Hydrology Using Remote Sensing — J. B Stewart; Biospheric Aspects of the Hydrological Cycle; Institute of Hydrology (Gran Bretanya) (1996)
- Estimation of Land Surface Temperature and Urban Heat Island by Using Google Earth Engine and Remote Sensing Data — Komal Gadekar; Chaitanya B. Pande; J. Rajesh; S. D. Gorantiwar; A. Atre (2023)