Ecological fingerprinting of ecosystem succession: Estimating secondary tropical dry forest structure and diversity using imaging spectroscopy

被引：107
作者：
Kalacska, M.
Sanchez-Azofeifa, G. A. [1 ]
Rivard, B.
Caelli, T.
White, H. Peter
Calvo-Alvarado, J. C.
机构：
[1] Univ Alberta, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2E3, Canada
[2] Australian Natl Univ, Natl Informat & Commun Technol ICT Australia, Canberra, ACT 0200, Australia
[3] Costa Rican Technol Inst, Cartago, Costa Rica
[4] Nat Resources Canada, Canada Ctr Remote Sensing, Ottawa, ON K1A 0Y7, Canada
来源：
REMOTE SENSING OF ENVIRONMENT | 2007年 / 108卷 / 01期
关键词：
tropical dry forest; Holdridge Complexity Index; structure; biomass; hyperspectral remote sensing; Costa Rica; wavelet decomposition; hyperion; neural network;
D O I：
10.1016/j.rse.2006.11.007
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
We evaluated the use of EO-I Hyperion hyperspectral satellite imagery for mapping structure and floristic diversity in a Neotropical tropical dry forest as a way of assessing a region's ecological fingerprint. Analysis of satellite imagery provides a means to spatially appraise the dynamics of the structure and diversity of the forest. We derived optimal models for mapping canopy height, live aboveground biomass, Shannon diversity, basal area and the Holdridge Complexity Index from a dry season image. None of the evaluated models adequately estimated stem or species density. Due to the dynamic nature of the leaf phenology we found that for the application of remote sensing in Neotropical dry forests, the spectro-temporal domain (changes in the spectral signatures over time-season) must be taken into account when choosing imagery. The analyses and results presented here provide a means for rapid spatial assessment of structure and diversity characteristics from the microscale site level to an entire region. (C) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码：82 / 96
页数：15
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