Detection of forest change in Taiwan using remotely sensed images

B. Chang, C. F. Chen, L. Y. Chang, Y. C. Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With an area of 36,000 sq. km, Taiwan has about 58% of land is covered with forest. Seeking to a sustainable use of the forest land, Forestry Bureau is responsible for protection and conservation of the forest resources. One of its regular patrolling missions is to send forest rangers out to inspect the status of forest land and prevent any illegal activity. However, due to the limited manpower, the natural landslide and the illegal activity are hardly found in the remote mountain areas. A project to establish a forest change detection system is presented in this paper. The project regularly analyzes different period of SPOT-5 high spatial resolution images and provides the positions of the change spots for Forestry Bureau and the local forestry patrolmen. The practical exercise of the project shows that the satellite images certainly can be used to enhance the patrolling mission and to strengthen the forest protection.

Original languageEnglish
Title of host publicationAsian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
Pages1742-1745
Number of pages4
StatePublished - 2005
Event26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC - Ha Noi, Viet Nam
Duration: 7 Nov 200511 Nov 2005

Publication series

NameAsian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
Volume3

Conference

Conference26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC
Country/TerritoryViet Nam
CityHa Noi
Period7/11/0511/11/05

Keywords

  • Forest change detection
  • High spatial resolution images

Fingerprint

Dive into the research topics of 'Detection of forest change in Taiwan using remotely sensed images'. Together they form a unique fingerprint.

Cite this