Citation
Ghiyamat, Azadeh and Mohd Shafri, Helmi Zulhaidi
(2010)
A review on hyperspectral remote sensing for homogeneous and
heterogeneous forest biodiversity assessment.
International Journal of Remote Sensing, 31 (7).
pp. 1837-1856.
ISSN 0143-1161
Abstract
This review paper evaluates the potential of hyperspectral remote sensing for assessing
species diversity in homogeneous (non-tropical) and heterogeneous (tropical)
forest, an increasingly urgent task. Existing studies of species distribution patterns
using hyperspectral remote sensing have used different techniques to discriminate
different species, in which the wavelet transforms, derivative analysis and red edge
positions are themost important of them. The wavelet transform is used based on its
effectiveness and determined as the most powerful technique to identify species.
Furthermore, estimations of relationships between spectral values and species distributions
using chemical composition of foliage, tree phenology, selection of signature
training sites based on field measured canopy composition, selection of the
best wavelet coefficient and waveband regions may be useful to identify different
plant species. This paper presents a summary on the feasibility, operational applications
and possible strategies of hyperspectral remote sensing in forestry, especially in
assessing its biodiversity. The paper also reviews the processing and analysis of
techniques for hyperspectral data in discriminating different forest tree species.
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