Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
Deep learning and earth observation to support the sustainable development goals: Current approaches, open challenges, and future opportunities
The synergistic combination of deep learning (DL) models and Earth observation (EO)
promises significant advances to support the Sustainable Development Goals (SDGs). New …
promises significant advances to support the Sustainable Development Goals (SDGs). New …
Improving the resolution of GRACE data for spatio-temporal groundwater storage assessment
S Ali, D Liu, Q Fu, MJM Cheema, QB Pham… - Remote Sensing, 2021 - mdpi.com
Groundwater has a significant contribution to water storage and is considered to be one of
the sources for agricultural irrigation; industrial; and domestic water use. The Gravity …
the sources for agricultural irrigation; industrial; and domestic water use. The Gravity …
A physical method for downscaling land surface temperatures using surface energy balance theory
Fine-resolution land surface temperature (LST) derived from thermal infrared remote
sensing images is a good indicator of surface water status and plays an essential role in the …
sensing images is a good indicator of surface water status and plays an essential role in the …
Downscaling of GRACE-derived groundwater storage based on the random forest model
L Chen, Q He, K Liu, J Li, C Jing - Remote Sensing, 2019 - mdpi.com
Groundwater is an important part of water storage and one of the important sources of
agricultural irrigation, urban living, and industrial water use. The recent launch of Gravity …
agricultural irrigation, urban living, and industrial water use. The recent launch of Gravity …
Global sea surface salinity via the synergistic use of SMAP satellite and HYCOM data based on machine learning
Sea surface salinity (SSS) provides information on the variability of ocean dynamics (global
water cycle and ocean circulation) and air-sea interactions, thereby contributing to the …
water cycle and ocean circulation) and air-sea interactions, thereby contributing to the …
[HTML][HTML] Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest
Spatial downscaling effectively produces high spatiotemporal resolution land surface
temperature (LST) in urban areas. Although nighttime LST is an essential indicator in urban …
temperature (LST) in urban areas. Although nighttime LST is an essential indicator in urban …
[HTML][HTML] Downscaling land surface temperature: A framework based on geographically and temporally neural network weighted autoregressive model with spatio …
Downscaling land surface temperatures (LST) from satellite imagery is essential for many
fine-scale applications. However, the accuracy of the downscaling is often limited by …
fine-scale applications. However, the accuracy of the downscaling is often limited by …
Simple yet efficient downscaling of land surface temperatures by suitably integrating kernel-and fusion-based methods
Kernel-based and fusion-based methods have been widely used to downscale satellite-
derived land surface temperatures (LSTs) for obtaining LSTs with high spatiotemporal …
derived land surface temperatures (LSTs) for obtaining LSTs with high spatiotemporal …
RETRACTED ARTICLE: Computer development based embedded systems in precision agriculture: tools and application
A Saddik, R Latif, A El Ouardi, M Elhoseny… - … , Section B—Soil & …, 2022 - Taylor & Francis
Precision agriculture (PA) research aims to design decision systems based on agricultural
site control and management. These systems consist of observing fields and measuring …
site control and management. These systems consist of observing fields and measuring …