期刊
ADVANCES IN SPACE RESEARCH
卷 50, 期 9, 页码 1266-1273出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.asr.2012.07.001
关键词
Mongolian grassland; Normalized difference indices; Poaceae abundance index; Spectroradiometer
类别
资金
- Ministry of Education, Culture, Science and Sports of Japan under the Academic Frontier Joint Research Project on Natural Environment and Culture in Asia of Tokyo University of Information Sciences
The objectives of the present study were to develop a new index based on remotely-sensed data for detecting the abundance of grasses in the family Poaceae, which has a high palatability for livestock in Mongolia, and to map the distribution of these grasses in the semi-arid Mongolian steppes. We measured ground-based spectral reflectance of pure plant leaves including Poaceae grasses and soils, as well as in-situ in the Mongolian grasslands. The hyper-spectral data, taken by a spectroradiometer, were converted into four multi-spectral bands (i.e., blue, green, red, and NIR) to simulate satellite-based imagery data. In order to magnify the characteristics of the spectral signal of Poaceae, NGBDI (Normalized Green-Blue Difference Index), NGRDI (Normalized Green-Red Difference Index), NDVI (Normalized Difference Vegetation Index), NNBDI (Normalized NIR-Blue Difference Index) were calculated from the four multi-spectral reflectance values. Poaceae Abundance Index (PAL) was derived by combining these four normalized difference indices. PAI was found out to be a good indicator to discriminate Poaceae grass from the other plant spectral data. (c) 2012 COSPAR. Published by Elsevier Ltd. All rights reserved.
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