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[Remote sensing analysis of forest resources characteristics in main ecological restoration counties in the Three-gorge area based on the 2nd-class inventory data].
Ying Yong Sheng Tai Xue Bao ; 25(1): 99-110, 2014 Jan.
Article em Zh | MEDLINE | ID: mdl-24765848
ABSTRACT
Based on high-resolution SPOT-5 images, combined with topographic (110000) calculating terrain-bit index, the distribution characteristics of woodlands in different terrain niches, and the buffer radii of different roads, water bodies and settlements were identified by using ArcGIS space overlay and buffer analysis function. Results showed that woodland resources were abundant, and arbor woodland and shrub land were the main species, which mainly distributed in two mountain areas (Fangdou Mountain, Qiyao Mountain) affected by topographic restriction and woodland natural basis. The woodland terrain niche distribution index showed an overall upward trend with increasing terrain niche gradient, especially for the arbor woodland and shrub land, while the other woodland types presented an opposite trend. The percentage of woodland area occupying the corresponding buffer radius around the roads, waterbodies and settlements had a strong similarity with the woodland terrain niche distribution index. Only around the settlements, bamboo forest, sparse woodland and immature woodland occupied higher percentages of the woodland area of the corresponding buffer radius than that of arbor woodland and shrub land. Woodland distribution was mainly controlled by large landform patterns of mountain features, while the distribution of woodlands in the different terrain niches and the different buffer radii of roads, waterbodies and settlements were driven mainly by duress of human activities under the auspices of the large landform patterns.
Assuntos
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Base de dados: MEDLINE Assunto principal: Florestas / Recuperação e Remediação Ambiental / Tecnologia de Sensoriamento Remoto Idioma: Zh Ano de publicação: 2014 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Florestas / Recuperação e Remediação Ambiental / Tecnologia de Sensoriamento Remoto Idioma: Zh Ano de publicação: 2014 Tipo de documento: Article