气候变化领域集成服务门户(CCPortal): Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

CCPortal

DOI	10.1016/j.rse.2021.112313
	Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future
	Jiao W.; Wang L.; McCabe M.F.
发表日期	2021
ISSN	00344257
卷号	256
英文摘要	Satellite based remote sensing offers one of the few approaches able to monitor the spatial and temporal development of regional to continental scale droughts. A unique element of remote sensing platforms is their multi-sensor capability, which enhances the capacity for characterizing drought from a variety of perspectives. Such aspects include monitoring drought influences on vegetation and hydrological responses, as well as assessing sectoral impacts (e.g., agriculture). With advances in remote sensing systems along with an increasing range of platforms available for analysis, this contribution provides a timely and systematic review of multi-sensor remote sensing drought studies, with a particular focus on drought related datasets, drought related phenomena and mechanisms, and drought modeling. To explore this topic, we first present a comprehensive summary of large-scale remote sensing datasets that can be used for multi-sensor drought studies. We then review the role of multi-sensor remote sensing for exploring key drought related phenomena and mechanisms, including vegetation responses to drought, land-atmospheric feedbacks during drought, drought-induced tree mortality, drought-related ecosystem fires, post-drought recovery and legacy effects, flash drought, as well as drought trends under climate change. A summary of recent modeling advances towards developing integrated multi-sensor remote sensing drought indices is also provided. We conclude that leveraging multi-sensor remote sensing provides unique benefits for regional to global drought studies, particularly in: 1) revealing the complex drought impact mechanisms on ecosystem components; 2) providing continuous long-term drought related information at large scales; 3) presenting real-time drought information with high spatiotemporal resolution; 4) providing multiple lines of evidence of drought monitoring to improve modeling and prediction robustness; and 5) improving the accuracy of drought monitoring and assessment efforts. We specifically highlight that more mechanism-oriented drought studies that leverage a combination of sensors and techniques (e.g., optical, microwave, hyperspectral, LiDAR, and constellations) across a range of spatiotemporal scales are needed in order to progress and advance our understanding, characterization and description of drought in the future. © 2021 Elsevier Inc.
英文关键词	Data fusion; Drought; Drought impact; Drought monitoring; Ecohydrology; Multi-sensor satellite; Regional scale drought
语种	英语
scopus关键词	Agricultural robots; Climate change; Drought; Ecosystems; Large dataset; Microwave sensors; Optical radar; Vegetation; Atmospheric feedbacks; Ecosystem components; Hydrological response; Modeling and predictions; Remote sensing platforms; Remote sensing system; Spatio-temporal resolution; Spatio-temporal scale; Remote sensing; drought; future prospect; hydrological response; remote sensing; satellite sensor; spatiotemporal analysis; terrestrial ecosystem; Varanidae
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178937
作者单位	Department of Earth Sciences, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, 46202, United States; Hydrology, Agriculture and Land Observation Group, Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia
推荐引用方式 GB/T 7714	Jiao W.,Wang L.,McCabe M.F.. Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future[J],2021,256.
APA	Jiao W.,Wang L.,&McCabe M.F..(2021).Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future.Remote Sensing of Environment,256.
MLA	Jiao W.,et al."Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future".Remote Sensing of Environment 256(2021).