Estimating Soil Organic Matter Content Using Sentinel-2 Imagery by Machine Learning in Shanghai

Estimating Soil Organic Matter Content Using Sentinel-2 Imagery by Machine Learning in Shanghai

Soil organic matter (SOM) plays an important role in the field of climate change and terrestrial ecosystems. SOM in large areas, especially in urban areas, is difficult to monitor and estimate by traditional methods. Urban land structure is complex, and soil is a mixture of organic and inorganic con...

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Bibliographic Details
Main Authors: Xinxin Wang, Jigang Han, Xia Wang, Huaiying Yao, Lang Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Soil organic matter estimation
Shanghai
sentinel-2
indexes
artificial neural network
support vector machine
Online Access:https://ieeexplore.ieee.org/document/9432852/

Internet

https://ieeexplore.ieee.org/document/9432852/

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