Abstrakt
In this study, the spatiotemporal changes in land use and land cover (LULC) were evaluated from 1992 to 2015 for the Rajang River Basin (RRB) located in the Sarawak State of Malaysia. The changes in water bodies cropped lands, and forests were assessed based on the available remotely sensed satellite data. Supervised classification with the Maximum-Likelihood-Algorithm technique was adopted for monitoring the LULC changes using Geographic Information System (GIS) and ERDAS Imagine tools. The results revealed an increasing trend of agricultural areas, mosaic natural vegetation and water bodies, while other classified areas such as tree broadleaved evergreen closed to open, tree cover flooded fresh or brackish water followed decreasing trend. More importantly, tree broadleaved evergreen closed to open and tree cover flooded fresh or brackish water showed drastic changes over the last decade. These LULC changes could be attributed to rapid economic development, disproportionate urbanization, population growth, and climate change. If unchecked, these changes might lead to a wide range of environmental impacts including aquatic and terrestrial habitat disruption.
Cytowania
Autor (1)
Cytuj jako
Pełna treść
pełna treść publikacji nie jest dostępna w portalu
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- Publikacja w czasopiśmie
- Tytuł wydania:
- IEEE Xplore strony 1 - 8
- Rok wydania:
- 2021
- Opis bibliograficzny:
- V. K. Oad, M. R. Ul Mustafa, H. B. Takaijudin, G. Nabi and M. Hussain, "Monitoring Trends of Land Use and Land Cover Changes in Rajang River Basin," 2020 Second International Sustainability and Resilience Conference: Technology and Innovation in Building Designs(51154), 2020, pp. 1-8.
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) https://doi.org/10.1109/ieeeconf51154.2020.9319939
- Weryfikacja:
- Brak weryfikacji
wyświetlono 90 razy
Publikacje, które mogą cię zainteresować
Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
- R. W. Aslam,
- H. Shu,
- I. Naz
- + 4 autorów
Application of multisensoral remote sensing data in the mapping of alkaline fens Natura 2000 habitat
- D. Kopeć,
- D. Michalska-Hejduk,
- S. Łukasz
- + 4 autorów