期刊论文

Yong Zhou

英文

Agriculture-Basel

2077-0472

2023

13

1

8-

10.3390/agriculture13010008

Methodology, L.W.; data curation, L.W.; writing—original draft preparation, L.W.; writing—review and editing, Y.Z.; funding acquisition, Y.Z. All authors have read and agreed to the published version of the manuscript. This research was funded by the National Natural Science Foundation of China (No. 42171061) and the Special Foundation for National Science and Technology Basic Research Program of China (No. 2021FY100505). The APC was funded by the National Natural Science Foundation of China and the Special Foundation for National Science and Technology Basic Research Program of China.

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Soil organic matter (SOM) is vital for assessing the quality of arable land. A fast and reliable estimation of SOM is important to predict the soil carbon stock in cropland. In this study, we aimed to explore the potential of combining multitemporal Sentinel-2A imagery and random forest (RF) to improve the accuracy of SOM estimates in the plough layer for cultivated land at a regional scale. The field data of SOM content were utilized along with multitemporal Sentinel-2A images acquired over three years during the bare soil period to develop sp...