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| Mapping soil organic carbon content using multi-source remote sensing variables in the Heihe River Basin in China [期刊论文] Ecological Indicators, 2020-01-01, 114 Zhou T.; Geng Y.; Chen J.; Liu M.; Haase D.; Lausch A. View/Download:37/0 |
| Refining benchmarks for soil organic carbon in Australia's temperate forests [期刊论文] Geoderma, 2020-01-01, 368 Bennett L.T.; Hinko-Najera N.; Aponte C.; Nitschke C.R.; Fairman T.A.; Fedrigo M.; Kasel S. View/Download:34/0 |
| Forecasting CO2 emissions in Chinas commercial department, through BP neural network based on random forest and PSO [期刊论文] Science of the Total Environment, 2020-01-01, 718 Wen L.; Yuan X. View/Download:23/0 |
| Assessing countrywide soil organic carbon stock using hybrid machine learning modelling and legacy soil data in Cameroon [期刊论文] Geoderma, 2020-01-01, 367 Silatsa F.B.T.; Yemefack M.; Tabi F.O.; Heuvelink G.B.M.; Leenaars J.G.B. View/Download:10/0 |
| Projecting potential evapotranspiration change and quantifying its uncertainty under future climate scenarios: A case study in southeastern Australia [期刊论文] Journal of Hydrology, 2020-01-01, 584 Shi L.; Feng P.; Wang B.; Li Liu D.; Cleverly J.; Fang Q.; Yu Q. View/Download:35/0 |
| Fine scale plant community assessment in coastal meadows using UAV based multispectral data [期刊论文] Ecological Indicators, 2020-01-01, 111 Villoslada M.; Bergamo T.F.; Ward R.D.; Burnside N.G.; Joyce C.B.; Bunce R.G.H.; Sepp K. View/Download:11/0 |
| Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest [期刊论文] Applied Energy, 2020-01-01, 262 Cai J.; Xu K.; Zhu Y.; Hu F.; Li L. View/Download:29/0 |
| Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night [期刊论文] Computers, Environment and Urban Systems, 2020-01-01, 80 Nieves J.J.; Sorichetta A.; Linard C.; Bondarenko M.; Steele J.E.; Stevens F.R.; Gaughan A.E.; Carioli A.; Clarke D.J.; Esch T.; Tatem A.J. View/Download:21/0 |
| Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis [期刊论文] Global Change Biology, 2020-01-01, 26 (3 Kim Y.; Johnson M.S.; Knox S.H.; Black T.A.; Dalmagro H.J.; Kang M.; Kim J.; Baldocchi D. View/Download:31/0 |
| Daily Global Solar Radiation in China Estimated From High-Density Meteorological Observations: A Random Forest Model Framework [期刊论文] Earth and Space Science, 2020-01-01, 7 (2 Zeng Z.; Wang Z.; Gui K.; Yan X.; Gao M.; Luo M.; Geng H.; Liao T.; Li X.; An J.; Liu H.; He C.; Ning G.; Yang Y. View/Download:43/0 |