期刊
REMOTE SENSING
卷 2, 期 2, 页码 478-496出版社
MDPI
DOI: 10.3390/rs2020478
关键词
biodiversity assessment; dry tropical forest; India; spatial resolution
类别
资金
- Society in Science: Branco Weiss fellowship, ETH
- Department of Science and Technology, Government of India
While high expectations have been raised about the utility of high resolution satellite imagery for biodiversity assessment, there has been almost no empirical assessment of its use, particularly in the biodiverse tropics which represent a very challenging environment for such assessment challenge. This research evaluates the use of high spatial resolution (IKONOS) and medium spatial resolution (Landsat ETM+) satellite imagery for assessing vegetation diversity in a dry tropical forest in central India. Contrary to expectations, across multiple measures of plant distribution and diversity, the resolution of IKONOS data is too fine for the purpose of plant diversity assessment and Landsat imagery performs better.
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