Remotely based monitoring of the mangroves over Penang Island, Malaysia

B. C. Beh; M. Z. MatJafri; H. S. Lim

doi:10.1117/12.869596

13 November 2010 Remotely based monitoring of the mangroves over Penang Island, Malaysia

B. C. Beh, M. Z. MatJafri, H. S. Lim

Proceedings Volume 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III; 78570Q (2010) https://doi.org/10.1117/12.869596
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of

Abstract

Mangrove vegetations are normally present in river estuaries and along the coast where the land meets the sea. Remote sensing can be used to obtain mangrove distribution information. The objective of this study was to study the current condition of mangrove forest using remote sensing over Penang Island, Malaysia. An attempt has been made based on supervised Maximum Likelihood Classification (MLC), various land use and land cover classes have been mapped and classified. A red-green-blue (RGB) colour was used to display and quantify mangrove forest distribution using Thailand Earth Observation System (THEOS) satellite imagery. Reference data was based on ground truth. High accuracy of 91.7% was obtained in mapping of mangrove cover.

Citation Download Citation

B. C. Beh, M. Z. MatJafri, and H. S. Lim "Remotely based monitoring of the mangroves over Penang Island, Malaysia", Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 78570Q (13 November 2010); https://doi.org/10.1117/12.869596

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available