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

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.

KEYWORDS:

• SDGSAT-1
• urban wetlands
• thermal environment
• comparative study

Acknowledgements

We gratefully thank the International Research Center of Big Data for Sustainable Development Goals for providing SDGSAT-1 data. This research was supported by the international services and collaborative applications of global remote sensing data and products for typical land covers at 10 m scale using domestic satellite data (2021YFE0194700), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19030203), the National Natural Science Foundation of China (41971390).

Data availability statement

The data that support the findings of this study are openly available in Science Data Bank at http://10.57760/sciencedb.09873.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by State Key Laboratory of Remote Sensing Science [grant number 2021YFE0194700, XDA19030203, 41971390].