Predicting Carbon Storage in the Yunnan-Kweichow Plateau Wetlands Using a Fusion of Multi-Source Remote Sensing Data and Machine Learning
Author:
Affiliation:
1. Kunming University of Science and Technology,Faculty of Land Resource Engineering,Kunming,China,650093
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642048.pdf?arnumber=10642048
Reference9 articles.
1. Differences in long-term vs short-term carbon and nitrogen sequestration in a coastal river delta wetland: Implications for global budgets
2. Northern Peatlands: Role in the Carbon Cycle and Probable Responses to Climatic Warming
3. UAS-based soil carbon mapping using VIS-NIR (480–1000 nm) multi-spectral imaging: Potential and limitations
4. Spaceborne L-Band Synthetic Aperture Radar Data for Geoscientific Analyses in Coastal Land Applications: A Review
5. High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms
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