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    Author(s): Yang Lei; Robert Treuhaft; Michael Keller; Richard Lucas; Paul Siqueira; Michael Schmidt
    Date: 2017
    Source: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
    Publication Series: Scientific Journal (JRNL)
    Station: International Institute of Tropical Forestry
    PDF: Download Publication  (482.0 KB)

    Description

    Spaceborne SAR interferometry (InSAR) has the potential of detecting forest change on a global scale with fine (meter-level) spatial resolution as well as on a monthly/weekly basis regardless of day or night. This is significant to characterize the land-use change and its impact on climate change. In this paper, both single-pass and repeat-pass SAR interferometry from spaceborne sensors are combined in order to detect and quantify (with Normalized RMSE ≤ 30%) forest disturbance at a large scale (dozens of kilometers) however with a fine spatial resolution (<; 1 hectare) based on two newly developed approaches. The single-pass InSAR approach is not only able to detect forest disturbance but also capable of characterizing meter (or even sub-meter) level change of forest phase-center (mean) height due to forest growth and/or degradation. These methods are extensively validated with the past and current spaceborne single-pass and repeat-pass InSAR missions (i.e. JAXA's ALOS-1, ALOS-2 and DLR's TanDEM-X) over subtropical forests in Australia as well as tropical forests in Brazil. Such techniques also serve as observing prototypes for the fusion of the future spaceborne InSAR missions (such as NASA-ISRO's NISAR and DLR's TanDEM-L).

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Lei, Yang; Treuhaft, Robert; Keller, Michael; Lucas, Richard; Siqueira, Paul; Schmidt, Michael. 2017. LARGE-scale fine-resolution products of forest disturbance using new approaches from spacborne sar interferometry. In: Proceedings IEEE International Geoscience and Remote Sensing Symposium(IGRASS), 2017, pp. 4318-4321. https://doi.org/10.1109/IGARSS.2017.8127957

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    Keywords

    spaceborne, SAR, interferometry, single-pass, repeat-pass, forest disturbance, large-scale, fine-resolution.

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https://www.fs.usda.gov/treesearch/pubs/56570