Manuscript Number : SISRRJ118

Spatial Variability of Surface Soil Analysis Using Hyperspectral Data

Authors(1) :-Rahul Kumar Gupta

The conventional strategies for soil classification are repetitive and they don’t satisfy the quick necessities of spatial inconstancy. The present investigation features the utilization of hyperspectral remote sensing datasets for soil arrangement. The spectral hourglass strategy is exe- cuted for retrieve the 48 endmembers from EO-1 data. The USGS spectral library has been utilized for reference spectra of soil. The reference spectra is examined and utilized as a input spectra for Hyperion image classifica- tion. The Spectral Angle Mapper (SAM) technique is registered after spectral hourglass strategy for soil mapping. For approval of hyperspec- tral image information soil order, I have utilized landsat 4-5 information and arranged it in four classes where open area is identified with soil classification. The Deep Fine soil associated loamy soil, Deep silty soil , Deep loamy soil & Moderate salinity with associated loamy soil of surface soil types is identified, classified and mapped. The result of the present investigation is basic for computerized soil analysis and its mapping of heterogeneous region.

Authors and Affiliations

Rahul Kumar Gupta
NITK, Surathkal, Karnataka, India

Soil Classification, Hyperspectral Remote Sensing Datasets, Soil Properties, Endmembers, Spatial inconstancy, USGS Spectral Library, Spectral Hourglass, Spectral Angle Mapper, Heterogeneous Region.

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Publication Details

Published in : Volume 1 | Issue 2 | July-August 2018
Date of Publication : 2018-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 20-27
Manuscript Number : SISRRJ118
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

Rahul Kumar Gupta, "Spatial Variability of Surface Soil Analysis Using Hyperspectral Data", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 1, Issue 2, pp.20-27, July-August.2018
URL : https://shisrrj.com/SISRRJ118

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