Monitoring forest canopy gap through photogrammetry and GIS techniques

Chi Chuan Cheng, Yeong Keung Chen, Chih Da Wu, Che Chang Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study focuses on applying photogrammetry and GIS techniques to monitor the change of forest canopy gaps at the Lienhwachih Experimental Forest in central Taiwan. The processes include quantifying canopy gaps of 1998 and 2002; classifying forest canopy gaps according to the quantified gap indices and multivariate statistical analysis; a comparison of gap classification between 1998 and 2002. The result indicated that the numbers of canopy gaps in 1998 and 2002 were 221 and 301. They were separately classified into three gap types using seven gap indices and multivariate statistical analysis. As for a comparison between 1998 and 2002, the shape, the number of gaps, and the gap area varied among three gap types. In addition, the cause of canopy gaps was also different, but mainly from landslide, forest regeneration and erosion. From the above results, obviously with landscape indices and multivariate statistical analysis, the integration of photogrammetry and GIS techniques is a feasible approach to monitor the change of forest canopy gaps under a larger scale.

Original languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages1638-1643
Number of pages6
Publication statusPublished - 2009
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 2009 Oct 182009 Oct 23

Publication series

Name30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume3

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
Country/TerritoryChina
CityBeijing
Period09-10-1809-10-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Monitoring forest canopy gap through photogrammetry and GIS techniques'. Together they form a unique fingerprint.

Cite this