The grain size composition of topsoil characterizes the soil texture and other physical properties. The coarsening of topsoil grain size is a visible symbol of land degradation; thereby the change in topsoil grain size can be potentially used to monitor desertification using remote sensing. This study proposes a new index for detecting topsoil grain size composition through ground in situ soil ...

determined accurately (Blackmer and White, 1998) and for low cost (Wolf and Buttel, 1996; Lu et al., 1997). The surface soil organic C (SOC) concentration is a useful soil The dark color of soil is typically associated with high property to map soils, interpret soil properties, and guide fertilizer organic-matter concentration and high native fertility. and agricultural chemical applications. T...

The measurement of soil total nitrogen (TN) by hyperspectral remote sensing provides an important tool for soil restoration programs in areas with subsided land caused by the extraction of natural resources. This study used the local correlation maximization-complementary superiority method (LCMCS) to establish TN prediction models by considering the relationship between spectral reflectance (m...

A new multispectral image classification method is presented. The method is based on dividing the Near Infrared “NIR” and Visible Red “VR” scatterplot diagram into regions corresponding to their reflectance values. The best line discriminating the Soil’s components from the vegetated area is recognized by utilizing the least square fitting criterion. The vegetate line which differentiate the fu...

Effective pretreatment of spectral reflectance is vital to model accuracy in soil parameter estimation. However, the classic integer derivative has some disadvantages, including spectral information loss and the introduction of high-frequency noise. In this paper, the fractional order derivative algorithm was applied to the pretreatment and partial least squares regression (PLSR) was used to as...

Burned forested areas have patterns of varying burn severity as a consequence of various topographic, vegetation, and meteorological factors. These patterns are detected and mapped using satellite data. Other ecological information can be abstracted from satellite data regarding rates of recovery of vegetation foliage and variation of burn severity on different vegetation types. Middle infrared...

An increasing demand for full spatio-temporal coverage of soil information drives the growing use of soil spectroscopy. Soil spectroscopy application performed under laboratory conditions or in-field studies in semi-arid areas have shown promising results. However, when acquiring data in temperate zones, limitations by vegetation-free coverage, variation in soil moisture and management are driv...

Soil moisture is one of the most important components all soil properties affecting global hydrologic cycle. Optical remote sensing technology main parts estimation. In this study, we promote a moisture-estimating method with applications regarding various organic matters. The results indicate that matter had significant spectral feature at wavelengths larger than 900 nm. existence would lead t...

Farmers must balance the competing goals of supplying contributions of background reflectance, while spectral vegetation indices that combined reflectances of near-infrared adequate N for their crops while minimizing N losses to the environment. To characterize the spatial variability of N and other visible bands (MCARI and NIR/Green) were responsive to both leaf chlorophyll concentrations and ...