Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review

S Lamichhane, L Kumar, B Wilson - Geoderma, 2019 - Elsevier
This article reviews the current research and applications of various digital soil mapping
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …

Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China

S Hu, S Yang, W Li, C Zhang, F Xu - Applied Geography, 2016 - Elsevier
Land price plays an important role in guiding land resource allocation for urban planning
and development, particularly in big cities of fast developing countries where infrastructures …

GIS-based assessment of sustainable crop residues for optimal siting of biogas plants

K Sahoo, S Mani, L Das, P Bettinger - Biomass and bioenergy, 2018 - Elsevier
The assessment of biomass at high spatial resolution is critical to manage supply risks and
to identify optimal plant sites for producing sustainable biofuels and co-products. The spatial …

GIS-based biomass assessment and supply logistics system for a sustainable biorefinery: A case study with cotton stalks in the Southeastern US

K Sahoo, GL Hawkins, XA Yao, K Samples, S Mani - Applied Energy, 2016 - Elsevier
Envisioning a sustainable biorefinery requires reliable information on the sustainable
availability of biomass, optimal plant location and delivered cost. In this paper, we have …

[PDF][PDF] 基于回归和地理加权回归Kriging 的土壤有机质空间插值

杨顺华, 张海涛, 郭龙, 任艳 - 应用生态学报, 2015 - researchgate.net
摘要基于地形因子与土壤有机质的相关分析, 选取相对高程和汇流动力指数作为辅助变量.
以普通克里格(OK) 作对照, 比较地理加权回归克里格(GWRK) 与回归克里格(RK) …

Effect of cultivation history on soil organic carbon status of arable land in northeastern China

Y Wang, S Wang, K Adhikari, Q Wang, Y Sui, G Xin - Geoderma, 2019 - Elsevier
Estimation of soil organic carbon (SOC) in arable land can help with the better
understanding of the impact of human activities on soils and the environment. Knowledge of …

[图书][B] Multiscale geographically weighted regression: Theory and practice

AS Fotheringham, TM Oshan, Z Li - 2023 - books.google.com
Multiscale geographically weighted regression (MGWR) is an important method that is used
across many disciplines for exploring spatial heterogeneity and modeling local spatial …

Mapping soil organic carbon and organic matter fractions by geographically weighted regression

EM Costa, WS Tassinari, HSK Pinheiro… - Journal of …, 2018 - Wiley Online Library
The soil organic matter (SOM) content and dynamic are related to vegetation cover, climate,
relief, and geology; these factors have strong variation in space in the southeastern of Brazil …

Analyzing spatial variations of relationships between Land Surface Temperature and some remotely sensed indices in different land uses

FM Miss - Remote Sensing Applications: Society and …, 2020 - Elsevier
Land surveying and remote sensing are crucial for understanding the spatial and temporal
variations of basic physical properties in accordance with different land uses. Guiding land …

Urban ecological security simulation and prediction using an improved cellular automata (CA) approach—a case study for the city of Wuhan in China

Y Gao, C Zhang, Q He, Y Liu - International journal of environmental …, 2017 - mdpi.com
Ecological security is an important research topic, especially urban ecological security. As
highly populated eco-systems, cities always have more fragile ecological environments …