Mapping soil organic matter content using Sentinel-2 synthetic images at different time intervals in Northeast China-Reference-Cited by-同舟云学术

Mapping soil organic matter content using Sentinel-2 synthetic images at different time intervals in Northeast China

Published:2023-03-23 Issue:1 Volume:16 Page:1094-1107
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Luo Chong¹,Zhang Wenqi²,Zhang Xinle³,Liu Huanjun¹

Affiliation:

1. State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People’s Republic of China

2. School of economics and management, Jilin Agricultural University, Changchun, People’s Republic of China

3. College of Information Technology, Jilin Agricultural University, Changchun, People’s Republic of China

Funder

Strategic Priority Research Program of the Chinese Academy of Sciences

K. C. Wong Education Foundation

Jilin Provincial Development and Reform Commission Innovation Capacity Building Project

the Special fund project for high-tech industrialization of science and technology cooperation between Jilin Province and the Chinese Academy of Sciences

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2192005

Reference68 articles.

1. Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review

2. Soil Organic Matter Characterization by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FTICR MS): A Critical Review of Sample Preparation, Analysis, and Data Interpretation

3. Vis-SWIR spectral prediction model for soil organic matter with different grouping strategies

4. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

5. Prediction of topsoil organic carbon content with Sentinel-2 imagery and spectroscopic measurements under different conditions using an ensemble model approach with multiple pre-treatment combinations

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