Incorporation of high accuracy surface modeling into machine learning to improve soil organic matter mapping-Reference-Cited by-同舟云学术

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Incorporation of high accuracy surface modeling into machine learning to improve soil organic matter mapping

Published:2021-10 Issue: Volume:129 Page:107975
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Wang Zong,Du Zhengping,Li Xiaoyan,Bao Zhengyi,Zhao Na,Yue Tianxiang

Funder

State Key Laboratory of Resources and Environmental Information System

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference78 articles.

1. Assessing soil organic carbon stock of Wisconsin, USA and its fate under future land use and climate change;Adhikari;Sci. Total Environ.,2019

2. A new look at the statistical model identification;Akaike;IEEE Trans. Automatic Control,1974

3. Total soil organic carbon and carbon sequestration potential in Nigeria;Akpa;Geoderma,2016

4. Comparison of machine learning models for gully erosion susceptibility mapping;Arabameri;Geosci. Front.,2019

5. Multi-scale digital terrain analysis and feature selection for digital soil mapping;Behrens;Geoderma,2010

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1. Temperature related to the spatial heterogeneity of wetland soil total nitrogen content in a frozen zone;Soil and Tillage Research;2024-12

2. Learn Land Features Using Python Language;BIO Web of Conferences;2024

3. Monitoring regional soil organic matter content using a spatiotemporal model with time-series synthetic Landsat images;Geoderma Regional;2023-09

4. Different approaches to estimating soil properties for digital soil map integrated with machine learning and remote sensing techniques in a sub-humid ecosystem;Environmental Monitoring and Assessment;2023-08-17

5. Combining Multitemporal Sentinel-2A Spectral Imaging and Random Forest to Improve the Accuracy of Soil Organic Matter Estimates in the Plough Layer for Cultivated Land;Agriculture;2022-12-20

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