Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities

H West, N Quinn, M Horswell - Remote Sensing of Environment, 2019 - Elsevier
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 …

Enhancing FAIR data services in agricultural disaster: A review

L Hu, C Zhang, M Zhang, Y Shi, J Lu, Z Fang - Remote Sensing, 2023 - mdpi.com
The agriculture sector is highly vulnerable to natural disasters and climate change, leading
to severe impacts on food security, economic stability, and rural livelihoods. The use of …

Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

Y Kang, M Ozdogan, X Zhu, Z Ye, C Hain… - Environmental …, 2020 - iopscience.iop.org
Crop yield estimates over large areas are conventionally made using weather observations,
but a comprehensive understanding of the effects of various environmental indicators …

Subfield maize yield prediction improves when in-season crop water deficit is included in remote sensing imagery-based models

G Shuai, B Basso - Remote Sensing of Environment, 2022 - Elsevier
In-season prediction of crop yield is a topic of research studied by several scientists using
different methods. Seasonal forecasts provide critical insights to different stakeholders who …

A novel Greenness and Water Content Composite Index (GWCCI) for soybean mapping from single remotely sensed multispectral images

H Chen, H Li, Z Liu, C Zhang, S Zhang… - Remote Sensing of …, 2023 - Elsevier
As a critical source of food and one of the most economically significant crops in the world,
soybean plays an important role in achieving food security. Large area accurate mapping of …

Early assessment of crop yield from remotely sensed water stress and solar radiation data

ME Holzman, F Carmona, R Rivas, R Niclòs - ISPRS journal of …, 2018 - Elsevier
Soil moisture (SM) available for evapotranspiration is crucial for food security, given the
significant interannual yield variability of rainfed crops in large agricultural regions. Also …

Droughts across China: Drought factors, prediction and impacts

Q Zhang, R Shi, VP Singh, CY Xu, H Yu, K Fan… - Science of the total …, 2022 - Elsevier
Drought is a complicated and costly natural hazard and identification of critical drought
factors is critical for modeling and forecasting of droughts and hence development of …

Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites

SB Duan, ZL Li, W Zhao, P Wu, C Huang… - … Journal of Digital …, 2021 - Taylor & Francis
Since 1982, Landsat series of satellite sensors continuously acquired thermal infrared
images of the Earth's land surface. In this study, Landsat 5, 7, and 8 land surface …

[HTML][HTML] Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes

B Allred, L Martinez, MK Fessehazion, G Rouse… - Agricultural Water …, 2020 - Elsevier
Effective and efficient methods are needed to map agricultural subsurface drainage systems.
Visible-color (VIS-C), multispectral (MS), and thermal infrared (TIR) imagery obtained by …

Assessment of meteorological and agricultural droughts using in-situ observations and remote sensing data

D Zuo, S Cai, Z Xu, D Peng, G Kan, W Sun… - Agricultural Water …, 2019 - Elsevier
Most research on drought assessment adopted historical in-situ observations, however,
there has been increased data availability from remote sensing during the recent years. This …