Soil type maps at the scale of 1..1 000 000 are used extensively to provide soil spatial distribution information for soil erosion assessment and watershed management models in China. However, the soil property maps produced through conventional direct linking method usually suffer low accuracy as well as the lack of spatial details within a soil type polygon. This paper presents an effective m...

Heavy metal pollution in soil is becoming a widely concerning environmental problem in China. The aim of this study is to integrate multiple sources of data, namely total Cu and Pb contents, digital elevation model (DEM) data, remote sensing image and interpreted land-use data, for mapping the spatial distribution of total Cu and Pb contamination in top soil along the Le'an River and its branch...

The paper presents decision-oriented mapping of pollution using hybrid models based on statistical learning theory (support vector regression or SVR) and spatial statistics (geostatistics). Adaptive and robust SVR approach is used to model non-linear large scale trends in the region and geostatistical models – spatial predictions and spatial simulations – are used to prepare decisionoriented ma...

The paper presents decision-oriented mapping of pollution using hybrid models based on statistical learning theory (support vector regression or SVR) and spatial statistics (geostatistics). Adaptive and robust SVR approach is used to model non-linear large scale trends in the region and geostatistical models – spatial predictions and spatial simulations – are used to prepare decisionoriented ma...

An integrative hierarchical stepwise sampling strategy for spatial sampling and its application in digital soil mapping Lin Yang a , A-Xing Zhu a b , Feng Qi c , Cheng-Zhi Qin a , Baolin Li a & Tao Pei a a State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Resources Research, Chinese Academy of Sciences, Beijing, PR China b Department of...

Abstract Cropland soil carbon not only serves food security but also contributes to the stability of terrestrial ecosystem pool due strong interconnection with atmospheric dioxide. Therefore, better monitoring in cropland is helpful for sequestration and sustainable management. However, severe anthropogenic disturbance mainly gentle terrain creates uncertainty obtaining accurate information lim...

With the upcoming availability of the next generation of high quality orbiting hyperspectral sensors, a major step toward improved regional soil mapping and monitoring and delivery of quantitative soil maps is expected. This study focuses on the determination of the prediction accuracy of spectral models for the mapping of common soil properties based on upcoming EnMAP (Environmental Mapping an...