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Data Details

FY3D MERSI 250 m Daily Dataset Covering Africa (2023.1.1-2024.5.31)


ZHANG Yeping1 ZHANG Yeping2,3FAN Jinlong*4 Tesfaye ADUGNA5 XU Wenbo5 ZHANG Qianqian1,2,3 LV Jin1,6
1 National Satellite Meteorological Center (National Centre for Space Weather)，Beijing 100081，China2 Innovation Center for Fengyun Meteorological Satellite (FYSIC)，Beijing 100081，China3 Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites，China Meteorological Administration，Beijing 100081，China4 Faculty of Geographical Science，Beijing Normal University，Beijing 100875，China5 Yangtze Delta Regional Institute (Huzhou)，University of Electronic Science and Technology of China，Huzhou 313000，China6 School of Public Administration，China University of Geosciences，Wuhan 430074，China.

DOI:10.3974/geodb.2024.12.14.V1

Published:Dec. 2024

Visitors：4       Data Files Downloaded：0      
Data Downloaded： 无      Citations：

Key Words：

Fengyun Meteorological Satellite,Medium Resolution Spectral Imager,Africa,earth observation

Abstract：

The FY3D MERSI 250 m Daily Dataset Covering Africa was generated from daily FY3D MERSI L1B 250 m granule data and it covers the entire Africa for the period of January 1, 2023 to May 31, 2024. The key steps for the data processing included the radiance calibration, the geometric correction, the tiling of 10°x10° with the consideration of optimal data selection for overlapping area within the same day based on the observing angle and solar angle, the mask of sea and land as well as the mosaic of entire Africa. The dataset is archived in common ENVI file (.img, .hdr), and consists of 1030 data files with data size of 12 TB (Compressed into 515 files, one for each day, with 2.95 TB) (Data on October 31, 2023 is unavailable).

Foundation Item：

Ministry of Science and Technology of P. R. China (2021YFE0117400, 2019YFE0127600, 2016YFA0600302)；

Data Citation：

ZHANG Yeping, ZHANG Yeping, FAN Jinlong*, Tesfaye ADUGNA, XU Wenbo, ZHANG Qianqian, LV Jin.FY3D MERSI 250 m Daily Dataset Covering Africa (2023.1.1-2024.5.31)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.12.14.V1.

References：


     [1] Fan, X. S., Xu, W. B., Fan, J. L. Mapping winter wheat growing areas in the North China Plain with FY-3 250 m resolution data [J], Journal of Remote Sensing, 2015, 19(4): 586-593.
     [2] Fan, J. L., Zhang, M. W., Cao, G. Z., et al. Global drought monitoring initiative with satellite data [J]. Advances in Meteorological Science and Technology, 2014, (5): 54-57.
     [3] Fan, J.L., Zhang, Y.P., Li, C.B., et al. Systematic analysis of geometric performance of Fengyun-3C MERSI satellite data using image chip matching method [J]. Remote Sensing Technology and Application, 2018, 33(4): 621-627.
     [4] Sun, Z. G., Wang, T., Liu, S. J., et al. Geolocation accuracy validation of meteorological satellite data based on GPS [J]. Geospatial Information, 2019(5): 23-26.
     [5] Xu, Q., Li, Q. L., Zhang, W. P., et al. Overview of agricultural application of China's FY satellite data [J]. Advances in Meteorological Science and Technology, 2019, (5): 32-36.
     [6] Zhang, W. Z., Xu, W. B., Fan, X.S., et al. Inversion of leaf area index using the MERSI data of the Feng Yun satellite [J]. Remote Sensing Technology and Application, 2015, 30(5): 925-931.
     [7] Zhao, C. L., Xu, W. B., Fan, J. L. Validation of narrow-band surface albedo retrieved from FY-3C MERSI satellite data [J]. Remote Sensing Technology and Application, 2020, 35(1): 153-162.
     [8] Abbasi, B., Qin, Z.H., Du, W., et al. Spatiotemporal variation of land surface temperature retrieved from FY-3D MERSI-II data in Pakistan [J]. Applied Science, 2022, 12(20): 10458.
     [9] Abbasi, B., Qin, Z. H., Du, W. H., et al. An algorithm to retrieve total precipitable water vapor in the atmosphere from FengYun 3D MEdium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data [J]. Remote Sensing, 2020, 12(21): 3469.
     [10] Adugna, T., Xu, W. B., Fan J. L. Comparison of random forest and support vector machine classifiers for regional land cover mapping using coarse resolution FY-3C images [J]. Remote Sensing, 2022, 14(3): 574.
     [11] Adugna, T., Xu, W. B., Fan, J. L. Effect of using different amounts of multi-temporal data on the accuracy: a case of land cover mapping of parts of Africa using FengYun-3C data [J]. Remote Sensing, 2021, 13(21): 4461.
     [12] Du, W. H., Qin, Z. H., Fan, J. L., et al. Land surface temperature retrieval from Fengyun-3D MEdium Resolution Spectral Imager II (FY-3D MERSI-II) data with the improved two-factor split-window algorithm [J]. Remote Sensing, 2021, 13(24): 5072.
     

Data Product:

ID Data Name Data Size Operation
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum