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

• Published in: International journal of digital earth Vol. 17; no. 1
• Main Authors: Liu, Linsong, Li, Qingyu, Niu, Zhenguo, Huo, Xuanlin
• Format: Journal Article
• Language: English
• 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
• ISSN: 1753-8947; 1753-8955; 1753-8955
• DOI: 10.1080/17538947.2024.2310728

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.