A review of ensemble learning algorithms used in remote sensing applications
Y Zhang, J Liu, W Shen - Applied Sciences, 2022 - mdpi.com
Machine learning algorithms are increasingly used in various remote sensing applications
due to their ability to identify nonlinear correlations. Ensemble algorithms have been …
due to their ability to identify nonlinear correlations. Ensemble algorithms have been …
Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities
Drought is a common hydrometeorological phenomenon and a pervasive global hazard. As
our climate changes, it is likely that drought events will become more intense and frequent …
our climate changes, it is likely that drought events will become more intense and frequent …
Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale
Soil moisture has a considerable impact on the hydrological cycle, runoff generation,
drought development, and water resources management. Soil moisture products provided …
drought development, and water resources management. Soil moisture products provided …
[HTML][HTML] Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning
The skillful soil moisture (SM) for the Soil Moisture Active Passive (SMAP) L4 product can
provide substantial value for many practical applications including ecosystem management …
provide substantial value for many practical applications including ecosystem management …
[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 …
Using machine learning techniques for predicting autogenous shrinkage of concrete incorporating superabsorbent polymers and supplementary cementitious …
B Hilloulin, VQ Tran - Journal of Building Engineering, 2022 - Elsevier
Superabsorbent polymers (SAP) are a very effective means of decreasing high-performance
and ultra-high performance concrete autogenous shrinkage. However, their efficiency can …
and ultra-high performance concrete autogenous shrinkage. However, their efficiency can …
Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution
Surface soil moisture (SSM), as a vital variable for water and heat exchanges between the
land surface and the atmosphere, is essential for agricultural production and drought …
land surface and the atmosphere, is essential for agricultural production and drought …
Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China
The accurate and timely prediction of crop yield at a large scale is important for food security
and the development of agricultural policy. An adaptable and robust method for estimating …
and the development of agricultural policy. An adaptable and robust method for estimating …
Soil moisture content retrieval from Landsat 8 data using ensemble learning
Although detailed spatial and temporal distribution of soil moisture is crucial for numerous
applications, current global soil moisture products generally have low spatial resolutions (25 …
applications, current global soil moisture products generally have low spatial resolutions (25 …
Estimating mangrove above-ground biomass using extreme gradient boosting decision trees algorithm with fused sentinel-2 and ALOS-2 PALSAR-2 data in can Gio …
This study investigates the effectiveness of gradient boosting decision trees techniques in
estimating mangrove above-ground biomass (AGB) at the Can Gio biosphere reserve …
estimating mangrove above-ground biomass (AGB) at the Can Gio biosphere reserve …