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Remote Sens. 2016, 8(1), 68; doi:10.3390/rs8010068

Quantitative Estimation of Carbonate Rock Fraction in Karst Regions Using Field Spectra in 2.0–2.5 μm

1,2,3
,
4,* , 1,2,3,* , 1,2,3
,
5
and
1,2,3
1
Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
2
The Key Laboratory for Satellite Mapping Technology and Applications of National Administration of Surveying, Mapping and Geoinformation of China, Nanjing University, Nanjing 210023, China
3
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
4
School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China
5
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Eyal Ben-Dor, Magaly Koch and Prasad S. Thenkabail
Received: 22 September 2015 / Revised: 3 January 2016 / Accepted: 8 January 2016 / Published: 15 January 2016
(This article belongs to the Special Issue Field Spectroscopy and Radiometry)
View Full-Text   |   Download PDF [3706 KB, uploaded 15 January 2016]   |  

Abstract

Considering the important roles of carbonate rock fraction in karst rocky desertification areas and their potential for indicating damage to vegetation, improved knowledge is desired to assess the application of spectroscopy and remote sensing to characterizing and quantifying the biophysical constituents of karst landscapes. In this study, we examined the spectra of major surface constituents in karst areas for direct evidence of absorption features attributable to carbonate rock fraction. Using spectral feature analysis with continuum removal, we observed that there are overlapping spectral absorption in 2.149–2.398 μm by soils and non-photosynthetic vegetation. These overlapping features complicated the carbonate absorption feature near 2.340 μm in synthetic mixed spectra. To remove the overprint signal, two hyperspectral carbonate rock indices (HCRIs) were developed. Compared to the absorption features including depths, areas, and KRDSIs (karst rocky desertification synthesis indices), linear regression of HCRIs with carbonate rock fraction in linear synthetic mixtures resulted in higher correlations and lower errors. This study demonstrates that spectral variation of the surface constituents spectra in 2.270–2.398 μm region can indicate carbonate rock fraction and be used to quantify them. Still, additional research is needed to advance our understanding of the spectral influences from carbonate petrography relative to carbonate mineralogy, components and physical state of rock surface. View Full-Text
Keywords: karst rocky desertification; carbonate rock; land cover fraction estimation; spectroscopy; continuum removal; spectral feature analysis; spectral index karst rocky desertification; carbonate rock; land cover fraction estimation; spectroscopy; continuum removal; spectral feature analysis; spectral index
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MDPI and ACS Style

Xie, X.; Tian, S.; Du, P.; Zhan, W.; Samat, A.; Chen, J. Quantitative Estimation of Carbonate Rock Fraction in Karst Regions Using Field Spectra in 2.0–2.5 μm. Remote Sens. 2016, 8, 68.

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