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Combining satellite data for better tropical forest monitoring

Author

Listed:
  • Johannes Reiche

    (Laboratory of Geo-Information Science and Remote Sensing, Wageningen University)

  • Richard Lucas

    (School of Biological, Earth and Environmental Sciences, University of New South Wales)

  • Anthea L. Mitchell

    (School of Biological, Earth and Environmental Sciences, University of New South Wales)

  • Jan Verbesselt

    (Laboratory of Geo-Information Science and Remote Sensing, Wageningen University)

  • Dirk H. Hoekman

    (Earth System Science Group, Wageningen University)

  • Jörg Haarpaintner

    (Norut Northern Research Institute)

  • Josef M. Kellndorfer

    (Woods Hole Research Center)

  • Ake Rosenqvist

    (soloEO-Japan)

  • Eric A. Lehmann

    (CSIRO Digital Productivity)

  • Curtis E. Woodcock

    (Center for Remote Sensing, Boston University)

  • Frank Martin Seifert

    (ESA-ESRIN)

  • Martin Herold

    (Laboratory of Geo-Information Science and Remote Sensing, Wageningen University)

Abstract

Implementation of policies to reduce forest loss challenges the Earth observation community to improve forest monitoring. An important avenue for progress is the use of new satellite missions and the combining of optical and synthetic aperture radar sensor data.

Suggested Citation

  • Johannes Reiche & Richard Lucas & Anthea L. Mitchell & Jan Verbesselt & Dirk H. Hoekman & Jörg Haarpaintner & Josef M. Kellndorfer & Ake Rosenqvist & Eric A. Lehmann & Curtis E. Woodcock & Frank Marti, 2016. "Combining satellite data for better tropical forest monitoring," Nature Climate Change, Nature, vol. 6(2), pages 120-122, February.
    • Handle: RePEc:nat:natcli:v:6:y:2016:i:2:d:10.1038_nclimate2919
    DOI: 10.1038/nclimate2919
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    Cited by:

    1. Erfu Dai & Le Yin & Yahui Wang & Liang Ma & Miao Tong, 2020. "Quantitative Assessment of the Relative Impacts of Land Use and Climate Change on the Key Ecosystem Services in the Hengduan Mountain Region, China," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    2. Samuele, De Petris & Federica, Ghilardi & Filippo, Sarvia & Enrico, Borgogno-Mondino, 2022. "A simplified method for water depth mapping over crops during flood based on Copernicus and DTM open data," Agricultural Water Management, Elsevier, vol. 269(C).
    3. Catherine Ticehurst & Zheng-Shu Zhou & Eric Lehmann & Fang Yuan & Medhavy Thankappan & Ake Rosenqvist & Ben Lewis & Matt Paget, 2019. "Building a SAR-Enabled Data Cube Capability in Australia Using SAR Analysis Ready Data," Data, MDPI, vol. 4(3), pages 1-19, July.

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