Estimating the heavy metal concentrations in topsoil in the Daxigou mining area, China, using multispectral satellite imagery
Abstract A precise estimation of the heavy metal concentrations in soils using multispectral remote sensing technology is challenging. Herein, Landsat8 imagery, a digital elevation model, and geochemical data derived from soil samples are integrated to improve the accuracy of estimating the Cu, Pb,...
Saved in:
Main Authors: | Yun Yang, Qinfang Cui, Peng Jia, Jinbao Liu, Han Bai |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/10a8cf83636d4c6bbfc1d291d4a532c8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites
by: Bin Guo, et al.
Published: (2021) -
Estimation of Heavy Metal Concentrations in the Water of Urban Lakes in the Russian Arctic (Murmansk)
by: Marina A. Postevaya, et al.
Published: (2021) -
Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery
by: Hejar Shahabi, et al.
Published: (2021) -
Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers
by: Teo Nguyen, et al.
Published: (2021) -
The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery
by: Jingjing Zhou, et al.
Published: (2017)