Title :
Detection of Large-Scale Forest Canopy Change in Pan-Tropical Humid Forests 2000–2009 With the SeaWinds Ku-Band Scatterometer
Author :
Frolking, Steve ; Hagen, Stephen ; Milliman, Tom ; Palace, Michael ; Shimbo, Julia Zanin ; Fahnestock, Mark
Author_Institution :
Inst. for the Study of Earth Oceans, & Space, Univ. of New Hampshire, Durham, NH, USA
fDate :
7/1/2012 12:00:00 AM
Abstract :
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.
Keywords :
remote sensing by radar; vegetation; vegetation mapping; AD 2000 to 2009; Africa; Indonesia; Malaysia; SeaWinds Ku-Band scatterometer; SeaWinds Ku-band microwave backscatter; South America; atmospheric effects; geophysical data; humid tropical forest blocks; humid tropical forest regions; land-use activity; large-scale deforestation; large-scale forest canopy change; optical remote sensing; pan-tropical humid forests; plantation forest growth; straight-forward data processing; tropical forest canopy dynamics; Backscatter; Earth; Radar measurements; Remote sensing; Satellites; Spaceborne radar; Uncertainty; Landcover change; spaceborne radar remote sensing; tropical forests;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2011.2182516