DOI: 10.3390/rs12040631
论文题名: Remotely sensed land surface temperature-based water stress index for wetland habitats
作者: Ciezkowski W. ; Szporak-Wasilewska S. ; Kleniewska M. ; Jóźwiak J. ; Gnatowski T. ; Dabrowski P. ; Góraj M. ; SzatyLowicz J. ; Ignar S. ; Chormański J.
刊名: Remote Sensing
ISSN: 20724292
出版年: 2020
卷: 12, 期: 4 语种: 英语
英文关键词: Biebrza River Valley
; CWSI
; Drought monitoring
; Janów Forest Landscape Park
; LST
; Thermal infrared
; UAS
Scopus关键词: Antennas
; Atmospheric temperature
; Carbon dioxide
; Climate change
; Crops
; Drought
; Ecosystems
; Forestry
; Hydrogeology
; Plants (botany)
; Remote sensing
; River pollution
; Soil moisture
; Surface measurement
; Surface properties
; Unmanned aerial vehicles (UAV)
; Wetlands
; CWSI
; Drought monitoring
; Forest landscape
; River valley
; Thermal infrared
; Land surface temperature
英文摘要: Despite covering only 2-6% of land, wetland ecosystems play an important role at the local and global scale. They provide various ecosystem services (carbon dioxide sequestration, pollution removal, water retention, climate regulation, etc.) as long as they are in good condition. By definition, wetlands are rich in water ecosystems. However, ongoing climate change with an ambiguous balance of rain in a temperate climate zone leads to drought conditions. Such periods interfere with the natural processes occurring on wetlands and restrain the normal functioning of wetland ecosystems. Persisting unfavorable water conditions lead to irreversible changes in wetland habitats. Hence, the monitoring of habitat changes caused by an insufficient amount of water (plant water stress) is necessary. Unfortunately, due to the specific conditions of wetlands, monitoring them by both traditional and remote sensing techniques is challenging, and research on wetland water stress has been insufficient. This paper describes the adaptation of the thermal water stress index, also known as the crop water stress index (CWSI), for wetlands. This index is calculated based on land surface temperature and meteorological parameters (temperature and vapor pressure deficit-VPD). In this study, an unmanned aerial system (UAS) was used to measure land surface temperature. Performance of the CWSI was confirmed by the high correlation with field measurements of a fraction of absorbed photosynthetically active radiation (R = 0.70) and soil moisture (R = 0.62). Comparison of the crop water stress index with meteorological drought indices showed that the first phase of drought (meteorological drought) cannot be detected with this index. This study confirms the potential of using the CWSI as a water stress indicator in wetland ecosystems. © 2020 by the author. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159741
Appears in Collections: 气候变化与战略
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作者单位: Department of Remote Sensing and Environmental Assessment, Institute of Environmental Engineering, Warsaw University of Life Science-SGGW, Nowoursynowska 166, Warsaw, 02-787, Poland; Water Center Laboratory, Warsaw University of Life Sciences-SGGW, Nowoursynowska 166, Warsaw, 02-787, Poland; Department of Environmental Improvement, Institute of Environmental Engineering, Warsaw University of Life Sciences-SGGW, Nowoursynowska 166, Warsaw, 02-787, Poland
Recommended Citation:
Ciezkowski W.,Szporak-Wasilewska S.,Kleniewska M.,et al. Remotely sensed land surface temperature-based water stress index for wetland habitats[J]. Remote Sensing,2020-01-01,12(4)