DSM product data set of Tibet Bomi resource 3 satellite image (2018)- A Big Earth Data Platform for Three Poles

The data is the large-scale DSM data of debris flow gully area generated by using the purchased resource No. 3 satellite remote sensing image of the demonstration area and based on the stereo image pair matching method. The processing method is as follows:

(1) Due to the large amount of cloud and shadow noise in the original image, this study uses IDL language to develop and form a special denoising and information completion program for satellite images in cloudy mountainous areas.

(2) The emmetropia correction image is used as the left image and the front view correction image is the right image. Envi is used for DSM production.

(3) Using aster-dem data with 30 m resolution, at least 4 typical ground control points are selected for geographic correction to ensure that the geographic coordinate error is in the order of 1 ".

(4) Cross entropy, root mean square error and area error information entropy are used as accuracy evaluation indexes. Compared with the DSM obtained from the original data, it is verified that the imaging accuracy of the processed DSM is improved.

File naming and required software

The data is stored as grid data in GeoTIFF format. The file name is dsm20181029 TIF, 604mb in size. When using the data of "Tibet Bomi resources No. 3 satellite image DSM product data set (2018)", the following papers shall be cited:
[1] Peng S, Huang F, Tie B, et al. Optimization research on DSM product generation of ZY-3 satellite image based on the combination of image frequency-domain fusion and filtering. IGARSS, 2020: 244-247.

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Cite as:

Huang, F., Peng, S. (2022). DSM product data set of Tibet Bomi resource 3 satellite image (2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272024. CSTR: 18406.11.Terre.tpdc.272024. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Peng, S., Huang, F., & Tie, B., et al. (2020). Optimization research on DSM product generation of ZY-3 satellite image based on the combination of image frequency-domain fusion and filtering. IGARSS, 244-247.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)