Comparative study on information extraction of urban wetlands and its thermal environment using the SDGSAT-1 data

Wetlands represent crucial ecosystems, with urban wetlands playing a significant role in regulating regional thermal environments. The Sustainable Development Goals Scientific Satellite 1 (SDGSAT-1), equipped with multiple sensors, boasts one of the highest spatial resolutions among satellites housi...

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Published inInternational journal of digital earth Vol. 17; no. 1
Main Authors Liu, Linsong, Li, Qingyu, Niu, Zhenguo, Huo, Xuanlin
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 31.12.2024
Taylor & Francis Ltd
Taylor & Francis Group
Subjects
Accuracy
Aquatic ecosystems
China
chlorophyll
Classification
Comparative analysis
Comparative studies
comparative study
data collection
Environmental monitoring
Information retrieval
Infrared detectors
Land surface temperature
Landsat
Landsat satellites
Regional development
Remote sensing
Satellites
Scientific satellites
SDGSAT-1
Sensors
Spatial discrimination
Spatial resolution
Spatial variations
Surface temperature
Sustainable development
Sustainable Development Goals
thermal environment
Thermal environments
urban wetlands
Wetlands
China
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Abstract Wetlands represent crucial ecosystems, with urban wetlands playing a significant role in regulating regional thermal environments. The Sustainable Development Goals Scientific Satellite 1 (SDGSAT-1), equipped with multiple sensors, boasts one of the highest spatial resolutions among satellites housing thermal infrared sensors. A specific deep blue band, sensitive to chlorophyll in water, has been established, introducing innovative technological avenues for observing urban wetland environments. This study focuses on Beijing, investigating SDGSAT-1's efficacy in wetland classification and Land Surface Temperature (LST) retrieval, in comparison to Sentinel-2 and Landsat 8 TIRS data. The findings reveal that: (1) Wetland classification accuracy with SDGSAT-1 (86.76% overall accuracy, 0.84 Kappa coefficient, 0.87 Macro-F1) surpasses that of Sentinel-2, possibly attributed to the deep blue bands; (2) In contrast to Landsat 8's thermal infrared band, SDGSAT-1's finer resolution (30 m spatial resolution) offers more intricate spatial variation of LST, forming a foundational dataset for nuanced wetland thermal environment investigations; (3) The study underscores the comprehensive advantages of SDGSAT-1 data in monitoring urban wetlands and thermal environments, furnishing a theoretical basis for future related research.
AbstractList ABSTRACTWetlands represent crucial ecosystems, with urban wetlands playing a significant role in regulating regional thermal environments. The Sustainable Development Goals Scientific Satellite 1 (SDGSAT-1), equipped with multiple sensors, boasts one of the highest spatial resolutions among satellites housing thermal infrared sensors. A specific deep blue band, sensitive to chlorophyll in water, has been established, introducing innovative technological avenues for observing urban wetland environments. This study focuses on Beijing, investigating SDGSAT-1's efficacy in wetland classification and Land Surface Temperature (LST) retrieval, in comparison to Sentinel-2 and Landsat 8 TIRS data. The findings reveal that: (1) Wetland classification accuracy with SDGSAT-1 (86.76% overall accuracy, 0.84 Kappa coefficient, 0.87 Macro-F1) surpasses that of Sentinel-2, possibly attributed to the deep blue bands; (2) In contrast to Landsat 8's thermal infrared band, SDGSAT-1's finer resolution (30 m spatial resolution) offers more intricate spatial variation of LST, forming a foundational dataset for nuanced wetland thermal environment investigations; (3) The study underscores the comprehensive advantages of SDGSAT-1 data in monitoring urban wetlands and thermal environments, furnishing a theoretical basis for future related research.
Wetlands represent crucial ecosystems, with urban wetlands playing a significant role in regulating regional thermal environments. The Sustainable Development Goals Scientific Satellite 1 (SDGSAT-1), equipped with multiple sensors, boasts one of the highest spatial resolutions among satellites housing thermal infrared sensors. A specific deep blue band, sensitive to chlorophyll in water, has been established, introducing innovative technological avenues for observing urban wetland environments. This study focuses on Beijing, investigating SDGSAT-1's efficacy in wetland classification and Land Surface Temperature (LST) retrieval, in comparison to Sentinel-2 and Landsat 8 TIRS data. The findings reveal that: (1) Wetland classification accuracy with SDGSAT-1 (86.76% overall accuracy, 0.84 Kappa coefficient, 0.87 Macro-F1) surpasses that of Sentinel-2, possibly attributed to the deep blue bands; (2) In contrast to Landsat 8's thermal infrared band, SDGSAT-1's finer resolution (30 m spatial resolution) offers more intricate spatial variation of LST, forming a foundational dataset for nuanced wetland thermal environment investigations; (3) The study underscores the comprehensive advantages of SDGSAT-1 data in monitoring urban wetlands and thermal environments, furnishing a theoretical basis for future related research.
Author Li, Qingyu
Huo, Xuanlin
Liu, Linsong
Niu, Zhenguo
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  doi: 10.3390/rs14174147
– ident: e_1_3_4_24_1
  doi: 10.1016/j.envres.2020.110584
– ident: e_1_3_4_53_1
  doi: 10.1016/j.proenv.2011.09.246
– ident: e_1_3_4_52_1
  doi: 10.1016/S0034-4257(03)00079-8
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Snippet Wetlands represent crucial ecosystems, with urban wetlands playing a significant role in regulating regional thermal environments. The Sustainable Development...
ABSTRACTWetlands represent crucial ecosystems, with urban wetlands playing a significant role in regulating regional thermal environments. The Sustainable...
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SubjectTerms Accuracy
Aquatic ecosystems
China
chlorophyll
Classification
Comparative analysis
Comparative studies
comparative study
data collection
Environmental monitoring
Information retrieval
Infrared detectors
Land surface temperature
Landsat
Landsat satellites
Regional development
Remote sensing
Satellites
Scientific satellites
SDGSAT-1
Sensors
Spatial discrimination
Spatial resolution
Spatial variations
Surface temperature
Sustainable development
Sustainable Development Goals
thermal environment
Thermal environments
urban wetlands
Wetlands
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Title Comparative study on information extraction of urban wetlands and its thermal environment using the SDGSAT-1 data
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Volume 17
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