2015
DOI: 10.1016/j.geoderma.2014.11.011
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Degraded land detection by soil particle composition derived from multispectral remote sensing data in the Otindag Sandy Lands of China

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Cited by 25 publications
(13 citation statements)
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“…The soil texture referred to the size and proportion of mineral particles in the soil. It has an important influence on the physio-chemical properties, the aeration, water holding capacity, and fertilizer conservation of soils [28]. The main components of all soil were silt and clay (Table 1), accounting for more than 80% of soil texture.…”
Section: Effect Of Leonardite Addition On Soil Texture Morphology and Mineral Compositionmentioning
confidence: 99%
“…The soil texture referred to the size and proportion of mineral particles in the soil. It has an important influence on the physio-chemical properties, the aeration, water holding capacity, and fertilizer conservation of soils [28]. The main components of all soil were silt and clay (Table 1), accounting for more than 80% of soil texture.…”
Section: Effect Of Leonardite Addition On Soil Texture Morphology and Mineral Compositionmentioning
confidence: 99%
“…Remote Sensing technologies have been widely adopted to investigate and understand the changes of soil properties, for example, soil organic matter content (Kumar et al, 2017, Mirzaee et al, 2016 and soil texture (da Silva Chagas et al, 2016, Wu et al, 2015, further improving the capability of remote sensing in desertification detection. However, Remote Sensing technology is subject to inaccuracy.…”
Section: Insert Table 5 Herementioning
confidence: 99%
“…Recently, Ouerghemmi et al (2016) developed a semi-blind source separation method to separate vegetation spectra from soil spectra in order to retrieve the clay content over semi-vegetated surfaces. Wu et al (2015) classified degraded land based on the silt content with the multispectral BJ-1 satellite. Similarly, Zhai et al (2006) classified soil textural differences by soil spectra.…”
Section: The Remote Sensing Contribution To Ecohydrological Scalingmentioning
confidence: 99%