Prediction of Soil Nutrients Based on Topographic Factors and Remote Sensing Index in a Coal Mining Area, China

Prediction of Soil Nutrients Based on Topographic Factors and Remote Sensing Index in a Coal Mining Area, China

(1) Background: Coal mining operations caused severe land subsidence and altered the distributions of soil nutrients that influenced by multiple environmental factors at different scales. However, the prediction performances for soil nutrients based on their scale-specific relationships with influen...

Full description

Bibliographic Details
Main Authors: Hongfen Zhu, Ruipeng Sun, Zhanjun Xu, Chunjuan Lv, Rutian Bi
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sustainability
Subjects:
soil nutrients
coal mining
two-dimensional empirical mode decomposition (2d-emd)
bi-dimensional intrinsic mode function
partial linear squares regression
Online Access:https://www.mdpi.com/2071-1050/12/4/1626

Internet

https://www.mdpi.com/2071-1050/12/4/1626

Similar Items