Seasonal and diurnal surface urban heat islands in China: An investigation of driving factors with three-dimensional urban morphological parameters

S Cao, Y Cai, M Du, Q Weng, L Lu - GIScience & Remote Sensing, 2022 - Taylor & Francis
Surface urban heat island (SUHI) can considerably influence the urban environment and the
quality of life. It is vital to examine how underlying surface properties impact seasonal and …

An evaluation of the response of vegetation greenness, moisture, fluorescence, and temperature-based remote sensing indicators to drought stress

H Sun, Z Xu, H Liu - Journal of Hydrology, 2023 - Elsevier
Drought seriously threatens the food and ecological security of many countries in the world.
Currently, various remote sensing indicators of vegetation status have been utilized in …

Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield

J Huang, W Zhuo, Y Li, R Huang… - … Journal of Digital …, 2020 - Taylor & Francis
Agricultural drought threatens food security. Numerous remote-sensing drought indices
have been developed, but their different principles, assumptions and physical quantities …

Assessing the performance of satellite soil moisture on agricultural drought monitoring in the North China Plain

M Cao, M Chen, J Liu, Y Liu - Agricultural Water Management, 2022 - Elsevier
Satellite soil moisture (SM) has been increasingly available and the use of SM-based
indices has a great potential for agricultural drought monitoring. This study evaluates the …

Drought events and their effects on vegetation productivity in China

L Zhang, J Xiao, Y Zhou, Y Zheng, J Li, H Xiao - Ecosphere, 2016 - Wiley Online Library
Many parts of the world have experienced frequent and severe droughts during the last few
decades. Most previous studies examined the effects of specific drought events on …

Construction of an integrated drought monitoring model based on deep learning algorithms

Y Zhang, D Xie, W Tian, H Zhao, S Geng, H Lu, G Ma… - Remote Sensing, 2023 - mdpi.com
Drought is one of the major global natural disasters, and appropriate monitoring systems are
essential to reveal drought trends. In this regard, deep learning is a very promising approach …

A cloud-based remote sensing data production system

J Yan, Y Ma, L Wang, KKR Choo, W Jie - Future Generation Computer …, 2018 - Elsevier
The data processing capability of existing remote sensing system has not kept pace with the
amount of data typically received and need to be processed. Existing product services are …

植被干旱遥感监测方法研究进展

孙灏, 高金华, 闫亭廷, 胡可可, 徐振恒, 王蕴佳, 孟健… - 遥感学报, 2024 - ygxb.ac.cn
植被干旱严重威胁着中国粮食和生态安全, 卫星遥感在植被干旱监测和预警方面具有独特的技术
优势, 因此, 植被干旱遥感监测成为巩固提升干旱灾害防御能力的重要手段. 本文立足于干旱灾害 …

Monitoring and assessment of drought focused on its impact on sorghum yield over Sudan by using meteorological drought indices for the period 2001–2011

KM Elhag, W Zhang - Remote Sensing, 2018 - mdpi.com
Currently, the high-resolution satellite images in near real-time have gained more popularity
for natural disaster detection due to the unavailability and difficulty of acquiring frequent …

[HTML][HTML] Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China

Z Xu, H Sun, T Zhang, H Xu, D Wu, JH Gao - Agricultural Water …, 2023 - Elsevier
Agricultural drought seriously threatens the food and ecological security of most of the
world's developing countries. Data-driven integrated agricultural drought index with remote …