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Remote sensing and machine learning for crop water stress determination in various crops: a critical review
The remote sensing (RS) technique is less cost-and labour-intensive than ground-based
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …
Remote sensing of earth's energy budget: Synthesis and review
The Earth's climate is largely determined by its energy budget. Since the 1960s, satellite
remote sensing has been used in estimating these energy budget components at both the …
remote sensing has been used in estimating these energy budget components at both the …
Deep learning-based air temperature map** by fusing remote sensing, station, simulation and socioeconomic data
Air temperature (Ta) is an essential climatological component that controls and influences
various earth surface processes. In this study, we make the first attempt to employ deep …
various earth surface processes. In this study, we make the first attempt to employ deep …
Long-term trends of surface and canopy layer urban heat island intensity in 272 cities in the mainland of China
The canopy layer urban heat island (CLUHI) and surface urban heat island (SUHI) refer to
higher canopy layer and land surface temperatures in urban areas than in rural areas …
higher canopy layer and land surface temperatures in urban areas than in rural areas …
[HTML][HTML] GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning
An accurate spatially continuous air temperature data set is crucial for multiple applications
in the environmental and ecological sciences. Existing spatial interpolation methods have …
in the environmental and ecological sciences. Existing spatial interpolation methods have …
Can transfer learning improve hydrological predictions in the alpine regions?
Abstract The Tibetan Plateau (TP) is an important Asian water tower for livelihood, irrigation,
hydropower, and downstream ecosystems. Hydrological predictions in the TP have long …
hydropower, and downstream ecosystems. Hydrological predictions in the TP have long …
Comparison of gap-filling methods for producing all-weather daily remotely sensed near-surface air temperature
Y Mo, Y Xu, Y Liu, Y **n, S Zhu - Remote Sensing of Environment, 2023 - Elsevier
Thermal infrared remotely sensed near-surface air temperature (T a) can provide gridded
temperature information at relatively high spatial and temporal resolutions, and such …
temperature information at relatively high spatial and temporal resolutions, and such …
Global seamless and high-resolution temperature dataset (GSHTD), 2001–2020
Land surface temperature (Ts) and near-surface air temperature (Ta) are key parameters in
multiple research fields. In this study, a global seamless (without missing values) and high …
multiple research fields. In this study, a global seamless (without missing values) and high …