Work

Snowy Dove: An open-sourcetoolkit for pre- processing of Chinese Gaofen series data

Year: 2024

Type: article

Abstract: Since the launch of the Chinese High-resolution Earth Observation System (CHEOS) program, China has strengthened its research and development in the field of satellite remote sensing. A large number of sensors has been or will be launched, providing very large data streams which all require processing of the engineering data, as provided by the instruments, to physical data which will be used for further processing and interpretation. To handle such large data streams we developed a one-click batch pre-processing toolkit for CHEOS remote sensing data as described in this paper. In this toolkit, IDL language and environment are used as the primary program combined with other programming languages developed in this research. In this paper, we first describe the Gaofen (GF) series data used in this research and then introduce the function design and realization of this one-click batch pre-processing toolkit. Some examples will be presented to illustrate the application of the toolkit to data from several CHEOS satellites.

Source: PLoS ONE

DOI: 10.1371/journal.pone.0313584

Authors: Debao Yuan, Liuya Zhang, Jiantao Dong, Cheng Fan, Xurui Zhao

Institutions: China University of Mining and Technology - Beijing, Ministry of Ecology and Environment, Satellite Application Center for Ecology and Environment, Chinese Academy of Sciences, Aerospace Information Research Institute

Language: English

Topic: Satellite Image Processing and Photogrammetry

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,290

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hebei Province