Remote sensing and machine learning for crop water stress determination in various crops: a critical review

SS Virnodkar, VK Pachghare, VC Patil, SK Jha - Precision Agriculture, 2020 - Springer
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 …

Remote sensing of earth's energy budget: Synthesis and review

S Liang, D Wang, T He, Y Yu - International Journal of Digital Earth, 2019 - Taylor & Francis
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 …

Deep learning-based air temperature map** by fusing remote sensing, station, simulation and socioeconomic data

H Shen, Y Jiang, T Li, Q Cheng, C Zeng… - Remote Sensing of …, 2020 - Elsevier
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 …

Long-term trends of surface and canopy layer urban heat island intensity in 272 cities in the mainland of China

R Yao, L Wang, X Huang, Y Liu, Z Niu, S Wang… - Science of the Total …, 2021 - Elsevier
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 …

[HTML][HTML] GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning

Q He, M Wang, K Liu, K Li… - Earth System Science Data, 2022 - essd.copernicus.org
An accurate spatially continuous air temperature data set is crucial for multiple applications
in the environmental and ecological sciences. Existing spatial interpolation methods have …

Can transfer learning improve hydrological predictions in the alpine regions?

Y Yao, Y Zhao, X Li, D Feng, C Shen, C Liu, X Kuang… - Journal of …, 2023 - Elsevier
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 …

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 …

Global seamless and high-resolution temperature dataset (GSHTD), 2001–2020

R Yao, L Wang, X Huang, Q Cao, J Wei, P He… - Remote Sensing of …, 2023 - Elsevier
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 …