研究目的
To demonstrate how a combination of hypertemporal synthetic-aperture radar (SAR) and optical remote sensing (RS) data can be combined to generate both baseline map information and near–real-time monitoring information on crop extent and crop seasonality in Bangladesh.
研究成果
The study demonstrates the joint use of active and passive data as a smart method, based on the strengths of both sensors, to produce rice extent information (from multi-year ASAR analysis) and seasonal monitoring (from MODIS analysis). Crop monitoring systems should rely on a range of remote-sensing information sources in order to obtain the best possible information and smart combinations.
研究不足
The study acknowledges the challenges of using moderate-resolution data in regions characterized by pervasive cloud cover, small fields, and complex cropping systems. The conservative nature of the phenological detection with moderate-resolution data suggests that pixel-level interpretation and pixel counting for area estimation should be avoided as they are likely to be unreliable estimates of crop system characteristics.