Estimation of the Distribution of Tabebuia guayacan (Bignoniaceae) Using High-Resolution Remote Sensing Imagery

Sensors

Arturo Sánchez-Azofeifa¹  Benoit Rivard¹  Joseph Wright³  Ji-Lu Feng¹  Peijun Li²  Mei Mei Chong¹ 

[1] Centre for Earth Observation Sciences (CEOS) and Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta T6G 2R3, Canada; E-Mails:;Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China; E-Mail:;Smithsonian Tropical Research Institute, P.O. Box 0843-03092, Panama City, Panama; E-Mail:

关键词: high-resolution remote sensing;    T. guayacan;    Spectral Angle Mapping;    machine learning;   

DOI  :  10.3390/s110403831

来源: mdpi

【 摘 要 】

Species identification and characterization in tropical environments is an emerging field in tropical remote sensing. Significant efforts are currently aimed at the detection of tree species, of levels of forest successional stages, and the extent of liana occurrence at the top of canopies. In this paper we describe our use of high resolution imagery from the Quickbird Satellite to estimate the flowering population of Tabebuia guayacan trees at Barro Colorado Island (BCI), in Panama. The imagery was acquired on 29 April 2002 and 21 March 2004. Spectral Angle Mapping via a One-Class Support Vector machine was used to detect the presence of 422 and 557 flowering tress in the April 2002 and March 2004 imagery. Of these, 273 flowering trees are common to both dates. This study presents a new perspective on the effectiveness of high resolution remote sensing for monitoring a phenological response and its use as a tool for potential conservation and management of natural resources in tropical environments.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.