Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data
The enormous increase of remote sensing data from airborne and space-borne platforms, as
well as ground measurements has directed the attention of scientists towards new and …
well as ground measurements has directed the attention of scientists towards new and …
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
The objective of this study is to develop a novel multi-level pre-processing framework and
apply it for multi-step (one and seven days ahead) daily forecasting of Surface soil moisture …
apply it for multi-step (one and seven days ahead) daily forecasting of Surface soil moisture …
A synergistic methodology for soil moisture estimation in an alpine prairie using radar and optical satellite data
B He, M ** of soil properties over large areas
Soil is very important for many land functions. To achieve sustainability it is important to
understand how soils vary over space in the landscape. Remote sensing data can be …
understand how soils vary over space in the landscape. Remote sensing data can be …