Landsat-5 Time Series Analysis for Land Use/Land Cover Change Detection Using NDVI and Semi-Supervised Classification Techniques
Rapid urbanization and the risk of climatic variations, including a rise in temperature and increased rainfall, have urged research in the development of methods and techniques to monitor the modification of land use/land cover (LULC). This study employed the normalized differencing vegetative ind...
Main Authors: | Syeda Maria, Zaidi, Akbari, Abolghasem, Azizan, Abu Samah, Ngien, S. K., Gisen, J. I. A. |
---|---|
Format: | Article |
Language: | English |
Published: |
Pjoes
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/19825/1/Pol.J.Environ.Stud.Vol.26.No.6.2833-2840.pdf |
Similar Items
-
Landsat-5 Time Series Analysis for Land Use/Land Cover Change Detection Using NDVI and Semi-Supervised Classification Techniques
by: Zaidi, S.M., et al.
Published: (2017) -
Urban Expansion Analysis Using Semi- Supervised Classification (SSIC) of Landsat-5 Image: A Case Study in Kuantan, Malaysia
by: Syeda Maria, Zaidi, et al.
Published: (2017) -
Measuring land cover change in Seremban, Malaysia using NDVI index
by: Aburas, Maher Milad, et al.
Published: (2015) -
Assessing vegetation cover changes of Kuala Lumpur vacant land using NDVI technique
by: Mohamad Selamat, Izyan Ayuni, et al.
Published: (2024) -
Land use/land cover changes and the relationship with land surface temperature using landsat and MODIS imageries in Cameron Highlands, Malaysia
by: How, Darren Jin Aik, et al.
Published: (2020)