Arid
DOI10.1007/s12145-021-00720-4
Identifying the spatial distribution of Prosopis Juliflora using Hyperion imagery
Kumar, Vignesh M.
通讯作者Kumar, MV (corresponding author), PSN Coll Engn & Technol Autonomous, Tirunelveli, India.
来源期刊EARTH SCIENCE INFORMATICS
ISSN1865-0473
EISSN1865-0481
出版年2022
英文摘要Remote Sensing is a powerful tool to identify the vegetation distributions. Hyperspectral remote sensing has a number of bands at the shortest bandwidth to extract the vegetation precisely. The objectives of the present study are to identify the spectral characteristics and to identify the occupation of Prosopis Juliflora using hyperspectral data. In the present research work, the high spectral resolution imagery (10 nm) used to extract the Prosopis Juliflora. In Tamil Nadu, Vellore district is mainly affected by these species and most of the area has been converted to the arid region. The spectral characteristics of Prosopis Juliflora developed using spectroradiometer. The Prosopis Juliflora leaf shows huge reflectance in VNIR (700-1200 nm) region due to their chlorophyll content. The radiance and reflectance of the imagery are generated in BIL format and FLAASH module respectively. Data dimensionality reduction of the hyperspectral imagery carried out using MNF and PPI. The end members of Prosopis Juliflora are identified depends on the total probability score carried out by the methods of BE, SAM and SFF. The per-pixel classification algorithm is used to estimate the distribution of Prosopis Juliflora.
英文关键词Hyperion Prosopis Juliflora MNF PPI SAM
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000714339200002
WOS类目Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS研究方向Computer Science ; Geology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/367713
作者单位[Kumar, Vignesh M.] PSN Coll Engn & Technol Autonomous, Tirunelveli, India
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Kumar, Vignesh M.. Identifying the spatial distribution of Prosopis Juliflora using Hyperion imagery[J],2022.
APA Kumar, Vignesh M..(2022).Identifying the spatial distribution of Prosopis Juliflora using Hyperion imagery.EARTH SCIENCE INFORMATICS.
MLA Kumar, Vignesh M.."Identifying the spatial distribution of Prosopis Juliflora using Hyperion imagery".EARTH SCIENCE INFORMATICS (2022).
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