Share Email Print
cover

Proceedings Paper

Remote sensing indices for monitoring land degradation in a semiarid to arid basin in Jordan
Author(s): Jawad Al-Bakri; Hani Saoub; William Nickling; Ayman Suleiman; Mohammad Salahat; Saeb Khresat; Tareq Kandakji
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Spectral reflectance for soils and vegetation of the Yarmouk basin were correlated with surficial soil properties and vegetation biomass and cover. The overall aim of the study was to identify bands suitable for assessing soil and vegetation as indices for land degradation and desertification. Results showed that vegetation was well separated from soils in the shortwave infrared wavelength at 1480 nm. For most sites, the differences in the bandwidths (in the range of 8.5 nm to 90 nm) did not improve the differentiation of vegetation types. For all wavelengths, stronger correlation values (maximum R2 = 0.85) were obtained for vegetation cover when compared with biomass (maximum R2 = 0.54). Soil spectral reflectance tended to increase with salinity, with maximum correlations obtained in the blue wavelengths (470±10 nm, 485±90 nm), followed by green and the NIR bands, where R2 values were around 0.60. Comparing results from radiometer measurements with results obtained from ASTER image bands showed that correlations tended to decrease with decreased spatial resolution for the investigated soil properties. For all wavelengths, spectral reflectance of degraded soils was higher than that for natural vegetation and irrigated crops with partial surface cover. Results of the study showed that the use of remote sensing indices related to vegetation cover and soil salinity would be recommended to map the extent of land degradation in the study area and similar environments. However, spectral unmixing should be applied to improve the correlations between satellite remote sensing data and surficial soil properties.

Paper Details

Date Published: 25 October 2012
PDF: 10 pages
Proc. SPIE 8538, Earth Resources and Environmental Remote Sensing/GIS Applications III, 853810 (25 October 2012); doi: 10.1117/12.974333
Show Author Affiliations
Jawad Al-Bakri, The Univ. of Jordan (Jordan)
Hani Saoub, The Univ. of Jordan (Jordan)
William Nickling, Univ. of Guelph (Canada)
Ayman Suleiman, The Univ. of Jordan (Jordan)
Mohammad Salahat, The Hashemite Univ. (Jordan)
Saeb Khresat, Jordan Univ. of Science & Technology (Jordan)
Tareq Kandakji, The Univ. of Jordan (Jordan)


Published in SPIE Proceedings Vol. 8538:
Earth Resources and Environmental Remote Sensing/GIS Applications III
Shahid Habib; David Messinger; Antonino Maltese; Ulrich Michel; Daniel L. Civco; Manfred Ehlers; Karsten Schulz; Konstantinos G. Nikolakopoulos, Editor(s)

© SPIE. Terms of Use
Back to Top