Journal of Geographical Sciences

, Volume 12, Issue 1, pp 15–22 | Cite as

The global rainforest mapping project JERS-1: a paradigm of international collaboration for monitoring land cover change

  • Deng Xiang-zheng
  • Zhan Jin-yan
  • Liu Ji-yuan
  • Zhuang Da-fang
Dry Pastoral Environment


The Global Rainforest Mapping (GRFM) project was initiated in 1995 and, through a dedicated data acquisition policy by the National Space Development Agency of Japan (NASDA), data acquisitions could be completed within a 1.5-year period, resulting in a spatially and temporally homogeneous coverage to contain the entire Amazon Basin from the Atlantic to the Pacific; Central America up to the Yucatan Peninsular in Mexico; equatorial Africa from Madagascar and Kenya in the east to Sierra Leone in the west; and Southeast Asia, including Papua New Guinea. To some extent, GRFM project is an international endeavor led by NASDA, with the goal of producing spatially and temporally contiguous Synthetic Aperture Radar (SAR) data sets over the tropical belt on the Earth by use of the JERS-1 L-band SAR, through the generation of semi-continental, 100m resolution, image mosaics. The GRFM project relies on extensive collaboration with the National Aeronautics and Space Administration (NASA), the Joint Research Center of the European Commission (JRC) and the Japanese Ministry of International Trade and Industry (MITI) for data acquisition, processing, validation and product generation. A science program is underway in parallel with product generation. This involves the agencies mentioned above, as well as a large number of international organizations, universities and individuals to perform field activities and data analysis at different levels.

Key words

Global Rainforest Mapping low-resolution data regional mosaic Global Boreal Forest Mapping 

CLC number

S717.12 TP79 


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Copyright information

© Springer 2002

Authors and Affiliations

  • Deng Xiang-zheng
    • 1
  • Zhan Jin-yan
    • 1
  • Liu Ji-yuan
    • 1
  • Zhuang Da-fang
    • 1
  1. 1.Institute of Geographic Sciences and Natural Resources ResearchCASBeijingChina

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