A Review Of Soil Organic Carbon (SOC) Prediction Techniques In Agricultural Lands Using Remote Sensing
Author:
Affiliation:
1. ERATOSTHENES Centre of Excellence,Limassol,Cyprus
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641028.pdf?arnumber=10641028
Reference53 articles.
1. Mapping soil organic carbon distribution across South Africa's major biomes using remote sensing-topo-climatic covariates and Concrete Autoencoder-Deep neural networks
2. A novel intelligence approach based active and ensemble learning for agricultural soil organic carbon prediction using multispectral and SAR data fusion
3. Use of remote sensing data to predict soil organic carbon in some agricultural soils of Iran
4. Multitemporal satellite imagery analysis for soil organic carbon assessment in an agricultural farm in southeastern Brazil
5. Study on hyperspectral estimation model of soil organic carbon content in the wheat field under different water treatments
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