Application of domestic low-cost micro-satellite images in urban bare land identification

doi:10.6046/zrzyyg.2021056

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Abstract

Low-cost microsatellites and their constellations are important directions in the development of satellite remote sensing in recent years. This is because they can effectively alleviate the questions such as the low transit frequency of a single satellite and the high networking cost of satellites. Monitoring using remote sensing satellites is an important means to obtain bare land information in the ecological field owing to its wide coverage area and immunity to man-made interference. This study carried out exploratory research on urban bare land identification using the remote sensing images of low-cost micro-satellites of MV-1 Constellation. The identification results were compared to those obtained using Landsat8 images to explore the reliability of the implication of domestic low-cost micro-satellite images in urban bare land identification. To this end, this study selected Donggang District, Rizhao City, Shandong Province as an example and developed the extraction method that combines unsupervised vegetation indices-excess green and excess red (ExG-ExR)-with the maximum likelihood method. The results are as follows. ① The panchromatic images with a resolution of 5 m that were shot by Micro-satellite No. 02 of MV-1 Constellation can clearly reflect the current status of Donggang District. They have higher resolution and perform better in capturing details of ground features. However, they lack wave band advantages over Landsat8 images. ② The images of Micro-satellite No. 02 had an overall classification accuracy of 93.3% and a Kappa coefficient of up to 0.85. Therefore, the micro-satellites of MV-1 Constellation are reliable in bare land identification to some extent. ③ The difference between the bare land area in the Donggang urban area identified using Micro-satellite No. 02 images and Landsat8 images was 1.5 percentage points. This indicates that micro-satellites of MV-1 Constellation have equivalent inversion capacity in urban bare land identification to mainstream satellites under the conditions of proper algorithms, close shooting time, and consistent geo-coordinate correction.

Keywords microsatellite bare land inversion satellites of MV-1 Constellation

ZTFLH:

TP79

Corresponding Authors: ZHANG Baogang E-mail: symkfz@outlook.com;zhang_bob@bnu.edu.cn

Issue Date: 14 March 2022

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	Yiming SUN
	Baogang ZHANG
	Qizhong WU
	Aobo LIU
	Chao GAO
	Jing NIU
	Ping HE

Cite this article:

Yiming SUN,Baogang ZHANG,Qizhong WU, et al. Application of domestic low-cost micro-satellite images in urban bare land identification[J]. Remote Sensing for Natural Resources, 2022, 34(1): 189-197.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021056 OR https://www.gtzyyg.com/EN/Y2022/V34/I1/189

Tab.1 Main parameters of Microscope 1 series satellite and Landsat8 satellite

Fig.1 Remote sensing images of research area

Fig.2 Vegetation indices image of research area

Tab.2 Separable parameter of terrain objects of MV-1 Constellation

Tab.3 Separable parameter of terrain objects of Landsat8

Fig.3 Flow chart of image processing

Fig.4 Qingdao road image of Donggang District, Rizhao City

Fig.5 Extracted results of bare land

Fig.6 Comparison of extraction results of bare land

Tab.4 Accuracy validation results of MV-1 Constellation satellite classification

Tab.5 Accuracy validation results of Landsat8 satellite classification

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