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[HTML][HTML] A review on interpretable and explainable artificial intelligence in hydroclimatic applications
This review focuses on the use of Interpretable Artificial Intelligence (IAI) and eXplainable
Artificial Intelligence (XAI) models for data imputations and numerical or categorical …
Artificial Intelligence (XAI) models for data imputations and numerical or categorical …
[HTML][HTML] A 1 km daily soil moisture dataset over China using in situ measurement and machine learning
High-quality gridded soil moisture products are essential for many Earth system science
applications, while the recent reanalysis and remote sensing soil moisture data are often …
applications, while the recent reanalysis and remote sensing soil moisture data are often …
[HTML][HTML] A review of root zone soil moisture estimation methods based on remote sensing
M Li, H Sun, R Zhao - Remote Sensing, 2023 - mdpi.com
Root zone soil moisture (RZSM) controls vegetation transpiration and hydraulic distribution
processes and plays a key role in energy and water exchange between land surface and …
processes and plays a key role in energy and water exchange between land surface and …
Surface soil moisture from combined active and passive microwave observations: Integrating ASCAT and SMAP observations based on machine learning approaches
The fusion of active and passive microwave measurements is expected to provide more
robust surface soil moisture (SSM) map** across various environmental conditions …
robust surface soil moisture (SSM) map** across various environmental conditions …
[HTML][HTML] An attention-aware LSTM model for soil moisture and soil temperature prediction
Accurate prediction of soil moisture (SM) and soil temperature (ST) plays an important role in
Earth system science, hel** to forecast and understand ecosystem changes. They present …
Earth system science, hel** to forecast and understand ecosystem changes. They present …
A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm
A high-resolution soil moisture prediction method has recently gained its importance in
various fields such as forestry, agricultural and land management. However, accurate …
various fields such as forestry, agricultural and land management. However, accurate …
Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a" conscious lab" approach
Cement production is one of the most energy-intensive manufacturing industries, and the
milling circuit of cement plants consumes around 4% of a year's global electrical energy …
milling circuit of cement plants consumes around 4% of a year's global electrical energy …
Environmental assessment based surface water quality prediction using hyper-parameter optimized machine learning models based on consistent big data
Prediction of dissolved oxygen (DO) and total dissolved solids (TDS) are of paramount
importance for water environmental protection and analysis of the ecosystem. The traditional …
importance for water environmental protection and analysis of the ecosystem. The traditional …
Estimate soil moisture of maize by combining support vector machine and chaotic whale optimization algorithm
Soil moisture of maize has an extremely important impact on the growth and development of
maize. Failure to accurately estimate soil moisture will lead to severe reductions in maize …
maize. Failure to accurately estimate soil moisture will lead to severe reductions in maize …
Global distribution and environmental correlates of marine bioturbation
The activities of marine sediment-dwelling invertebrates play a fundamental role in
mediating major biogeochemical cycles and have profoundly shaped the evolution of …
mediating major biogeochemical cycles and have profoundly shaped the evolution of …