Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran - Emadi, Mostafa; Taghizadeh-Mehrjardi, Ruhollah; Cherati, Ali; Danesh, Majid; Mosavi, Amir; Scholten, Thomas (Remote sensing (Basel, Switzerland), 2020)
Keywords: Accuracy; Algorithms; Alluvial fans; Artificial neural networks; big data; Carbon; carbon sequestration; Correlation coefficient; Correlation coefficients; Data science; deep neural networks; Errors; Flexible structures; Gene mapping; Genetic algorithms; Information processing; Land use; Learning algorithms; Learning theory; Machine learning; Mapping; Neural networks; Normalized difference vegetative index; Organic carbon; Organic soils; Precipitation; Prediction models; Regression analysis; Remote sensing; Soil moisture; soil organic carbon; Soil surfaces; Soils; Spectroradiometers; Support vector machines; susceptibility; Uncertainty; Variables; Iran; Caspian Sea