Cross-Comparison of GF-1, GF-2 and Landsat-8 OLI Sensor Data

WU Xiaoping; XU Hanqiu; JIANG Qiaoling

doi:10.13203/j.whugis20190084

Volume 45 Issue 1

Jan. 2020

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Geomatics and Information Science of Wuhan University > 2020 > 45(1): 150-158. > DOI: 10.13203/j.whugis20190084

WU Xiaoping, XU Hanqiu, JIANG Qiaoling. Cross-Comparison of GF-1, GF-2 and Landsat-8 OLI Sensor Data[J]. Geomatics and Information Science of Wuhan University, 2020, 45(1): 150-158. DOI: 10.13203/j.whugis20190084

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Cross-Comparison of GF-1, GF-2 and Landsat-8 OLI Sensor Data

WU Xiaoping^{1, 2,},
XU Hanqiu^{1, 2, ,},
JIANG Qiaoling^{1, 2}

1.
College of Environment and Resources, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350116, China
2.
Institute of Remote Sensing Information Engineering, Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion, Fuzhou University, Fuzhou 350116, China

Funds:

The National Key Research and Development Program of China 2016YFA0600302

Fund Program of Fujian Provincial Administration of Serveying, Mapping and Geoinformation 2017JX02

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Author Bio:
WU Xiaoping, master, specializes in remote sensing applications in environment and natural resources. E-mail: 442892858@qq.com
Corresponding author:
XU Hanqiu, PhD，professor. E-mail: hxu@fzu.edu.cn
Received Date: May 14, 2019
Published Date: January 04, 2020

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Abstract

Abstract

This paper aims at an analysis on the consistency of the top of atmosphere (TOA) reflectance among GF-1 PMS2, GF-2 PMS1 and Landsat-8 operational land imager(OLI) sensor data based on two synchronous image pairs. The result shows that TOA reflectance of GF-1 PMS2 and GF-2 PMS1 sensors has a high degree of agreement. Nevertheless, this paper also finds that TOA reflectance of either GF-1 PMS2 or GF-2 PMS1 data is less consistent with that of Landsat-8 OLI data, especially in the near-infrared band. In general, the rank of TOA reflectance in the blue, green and red bands of three sensors data is as follows:GF-2 PMS1 > GF-1 PMS2 > Landsat-8 OLI, while the relationship in the near-infrared band is:Landsat-8 OLI > GF-1 PMS2 > GF-2 PMS1. The coversion models among the three sensors data were obtained through regression analysis. The validation shows that the conversion equations can significantly reduce the difference in the near-infrared band among the three sensors. It is also found that when the image to be converted has similar land cover types and proportions with the image on which the conversion model was developed, the conversion accuracy can be improve.
- multispectral data,
- GF-1,
- GF-2,
- Landsat-8,
- top of atmosphere reflectance,
- cross-comparison

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