An Object-Based Crop Classification Using Optimum Remotely Sensed Phenological and Multi-Spectral Data in Pakistan

Abstract Accurate and timely mapping of crops is essential for water resource management and to ensure sustainable food security. Satellite remote sensing has the well-documented ability to provide crop-type maps based on multispectral temporal datasets. However, due to the highly heterogeneous cropping practices, crop type mapping usually involves large phenological datasets, complex procedures, extensive field data, and resources. Therefore, we developed a simple and efficient image object hie