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

Autor: Joseph Wright, Stephanie A. Bohlman, Peijun Li, Mei Mei Chong, Jilu Feng, G. Arturo Sánchez-Azofeifa, Benoit Rivard
Jazyk: angličtina
Rok vydání: 2011
Předmět:
0106 biological sciences
Conservation of Natural Resources
010504 meteorology & atmospheric sciences
Panama
Population
Population Dynamics
Tabebuia
lcsh:Chemical technology
010603 evolutionary biology
01 natural sciences
Biochemistry
Article
Analytical Chemistry
Trees
high-resolution remote sensing
Tropical climate
Environmental monitoring
Photography
Ecosystem
lcsh:TP1-1185
Electrical and Electronic Engineering
education
Instrumentation
0105 earth and related environmental sciences
Remote sensing
education.field_of_study
Tropical Climate
T. guayacan
Spectral Angle Mapping
biology
Phenology
machine learning
15. Life on land
biology.organism_classification
Satellite Communications
Atomic and Molecular Physics
and Optics
Liana
Remote sensing (archaeology)
Environmental science
Environmental Monitoring
Zdroj: Sensors, Vol 11, Iss 4, Pp 3831-3851 (2011)
Sensors; Volume 11; Issue 4; Pages: 3831-3851
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Popis: 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.
Databáze: OpenAIRE
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