A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area

A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area

Producing accurate land-use and land-cover (LULC) mapping is a long-standing challenge using solely optical remote-sensing data, especially in tropical regions due to the presence of clouds. To supplement this, RADARSAT images can be useful in assisting LULC mapping. The fusion of optical and active...

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Bibliographic Details
Main Authors: Sameen, Maher Ibrahim, Nahhas, Faten Hamed, Buraihi, Faez Hussein, Pradhan, Biswajeet, Mohamed Shariff, Abdul Rashid
Format: Article
Language:English
Published: Taylor & Francis 2016
Online Access:http://psasir.upm.edu.my/id/eprint/54905/
http://psasir.upm.edu.my/id/eprint/54905/1/A%20refined%20classification%20approach%20by%20integrating%20Landsat%20Operational%20Land%20Imager%20.pdf

Internet

http://psasir.upm.edu.my/id/eprint/54905/
http://psasir.upm.edu.my/id/eprint/54905/1/A%20refined%20classification%20approach%20by%20integrating%20Landsat%20Operational%20Land%20Imager%20.pdf

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