Detection of Large-Scale Forest Canopy Change in Pan-Tropical Humid Forests 2000-2009 With the SeaWinds Ku-Band Scatterometer

• Published in: IEEE transactions on geoscience and remote sensing 2012-07, Vol.50 (7), p.2603-2617
• Main Authors: Frolking, S., Hagen, S., Milliman, T., Palace, M., Shimbo, J. Z., Fahnestock, M.
• Format: Article
• Language: English
• Subjects: Backscatter; Earth; Landcover change; Radar measurements; Remote sensing; Satellites; Spaceborne radar; spaceborne radar remote sensing; tropical forests; Uncertainty
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2011.2182516

We analyzed the 10-year record (1999-2009) of SeaWinds Ku-band microwave backscatter from humid tropical forest regions in South America, Africa, and Indonesia/Malaysia. While backscatter was relatively stable across much of the region, it declined by 1-2 dB in areas of known large-scale deforestation, and increased by up to 1-2 dB in areas of secondary forest or plantation forest growth and in major metropolitan areas. The reduction in backscatter over 142 18.5 km × 18.5 km blocks of tropical forest was correlated with gross forest cover loss (as determined from Landsat data analysis) (R = -0.78); this correlation improved when restricted to humid tropical forest blocks in South America with high initial forest cover (R = -0.93, n = 22). This study shows that scatterometer-based analyses can provide an important geophysical data record leading to robust identification of the spatial patterns and timing of large-scale change in tropical forests. The coarse spatial resolution of SeaWinds ( ~ 10 km) makes it unsuitable for mapping deforestation at the scale of land-use activity. However, due to a combination of instrument stability, sensitivity to canopy change and insensitivity to atmospheric effects, and straight-forward data processing, Ku-band scatterometery can provide a fully independent assessment of large-scale tropical forest canopy dynamics which may complement the interpretation of higher resolution optical remote sensing.