气候变化领域集成服务门户(CCPortal): Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals

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DOI	10.1016/j.rse.2019.111419
	Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals
	Hu T.; Renzullo L.J.; van Dijk A.I.J.M.; He J.; Tian S.; Xu Z.; Zhou J.; Liu T.; Liu Q.
发表日期	2020
ISSN	00344257
卷号	236
英文摘要	Drought indices based on thermal remote sensing have been developed and have merit for effective early warning of agricultural droughts, but approaches so far are relatively complex or sensitive to land surface temperature (LST) estimation uncertainties. Here, we propose the temperature rise index (TRI), a drought index that is comparatively robust and easy to calculate, as the anomaly of the intrinsic morning rise of LST. The underlying principle is that the rate of LST rise between 1.5 and 3.5 h after the sunrise is approximately linear and occurs more rapidly under dry conditions than under wet conditions over vegetated surfaces as a consequence of stomatal control. TRI during the growing seasons of 2010–2014 was calculated over the Australian wheatbelt from LST retrievals from the geostationary Multifunction Transport Satellite-2 (MTSAT-2) instrument. The calculated TRI was compared with indices based on precipitation integrated over 1-, 3- and 6-month time scales, on Soil Moisture and Ocean Salinity (SMOS) soil moisture derived from passive microwave remote sensing, and on vegetation condition (normalized difference vegetation index, NDVI) derived from optical remote sensing. The various indices were also compared to annual wheat yield over large areas. The correlation coefficient between TRI and precipitation anomaly that serves as an operational drought index in Australia was above 0.6 in general with 3-month integrative time scale for precipitation. TRI produced spatiotemporal dryness patterns that were very similar to those in soil moisture, but with more detail due to its finer resolution. A time lag of >1 month was found between TRI and observed vegetation condition, supporting the use of TRI in early warning. Among the compared drought indices, TRI explained the largest fraction (35%) of wheat yield variations. TRI correlations with wheat yields peaked higher and earlier by almost one month in comparison to other indices. We conclude that the thermal drought index proposed here shows considerable potential for use in drought early warning as an effective complement. © 2019 Elsevier Inc.
英文关键词	Agricultural drought; Australian wheatbelt; LST morning rise rate; MTSAT-2; TRI
语种	英语
scopus关键词	Agriculture; Atmospheric temperature; Drought; Geostationary satellites; Remote sensing; Soil moisture; Surface measurement; Surface properties; Vegetation; Agricultural drought; Australian wheatbelt; Estimation uncertainties; Land surface temperature retrievals; MTSAT-2; Normalized difference vegetation index; Passive microwave remote sensing; Soil Moisture and Ocean Salinity (SMOS); Land surface temperature; Triticum aestivum
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/179569
作者单位	Environmental Futures Research Institute, School of Environment and Science, Griffith University, Nathan, QLD 4111, Australia; Fenner School of Environment and Society, Australian National University, Canberra, Australian Capital Territory 2601, Australia; State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China; Joint Centre for Global Change Studies (JCGCS), Beijing, 100875, China; School of Life Sciences, University of Technology SydneyNSW 2007, Australia; Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
推荐引用方式 GB/T 7714	Hu T.,Renzullo L.J.,van Dijk A.I.J.M.,et al. Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals[J],2020,236.
APA	Hu T..,Renzullo L.J..,van Dijk A.I.J.M..,He J..,Tian S..,...&Liu Q..(2020).Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals.Remote Sensing of Environment,236.
MLA	Hu T.,et al."Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals".Remote Sensing of Environment 236(2020).