REMOTE SENSING DATA FUSION TO DETECT ILLICIT CROPS AND UNAUTHORIZED AIRSTRIPS
- 1School of Transportation Science & Engineering, Beihang University Beijing, China
- 2China Electric Power Research Institute, Beijing, China
- 3Russian State Hidrometeorological University, St. Petesburgo, Russia
- 4National Anti-drug Office of Venezuela
Keywords: Remote sensing, Data fusion, Illicit crops, Unauthorized Airstrip
Abstract. Remote sensing data fusion has been playing a more and more important role in crop planting area monitoring, especially for crop area information acquisition. Multi-temporal data and multi-spectral time series are two major aspects for improving crop identification accuracy. Remote sensing fusion provides high quality multi-spectral and panchromatic images in terms of spectral and spatial information, respectively. In this paper, we take one step further and prove the application of remote sensing data fusion in detecting illicit crop through LSMM, GOBIA, and MCE analyzing of strategic information. This methodology emerges as a complementary and effective strategy to control and eradicate illicit crops.