Application of remote sensing and GIS techniques for forest cover monitoring in the southern part of Laos

Ammala Keonuchan; Yaolin Liu

doi:10.1117/12.816011

29 December 2008 Application of remote sensing and GIS techniques for forest cover monitoring in the southern part of Laos

Ammala Keonuchan, Yaolin Liu

Author Affiliations +

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72854V (2008) https://doi.org/10.1117/12.816011
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

Forest resource is the important material foundation of national sustainable development. And it need to master the status and change of forest resource timely for reasonable exploitation of forest and its renewal. Laos is located in the heart of the Indochinese peninsular, in southeast Asia, latitude 14° to 23 °north and longitude 100°to 108°east, covered a total 236, 800 square kilometers, and country of nearly 6 million people. The forest of Laos dropped from close to two-third in the 1970's to less than half by the 1990's. This deforestation has been attributed to two human activities : a traditional of shifting cultivation or slash and burn farming, and logging without reforestation. Remote sensing and GIS are the most modern technologies which have been widely used in the field of natural resource management and monitoring. These technologies provide very powerful tools to observe and collect information on natural resources and dynamic phenomenon on the earth surface, and ability to integrate different data and present data in different formats. In this study, using forest cover map and Landsat 7 ETM data, we analyze and compare forest cover change from 1997 to 2002. And the maximum likelihood method of supervised classification was used to classify the remote sensing data, we processed Spectral Enhancement, including Normalized Difference Vegetation Index (NDVI) ,and re-classify data again base on Principle Components Analysis (PCA) and NDVI.

Citation Download Citation

Ammala Keonuchan and Yaolin Liu "Application of remote sensing and GIS techniques for forest cover monitoring in the southern part of Laos", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72854V (29 December 2008); https://doi.org/10.1117/12.816011

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image classification

Remote sensing

Principal component analysis

Geographic information systems

Error analysis

Image analysis

Earth observing sensors

Show All Keywords

Keywords/Phrases

Search In:

Publication Years