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Methods for agricultural feature extraction were developed to produce detailed (crop-level) agricultural land use/land cover (LULC) maps from high resolution LiDAR datasets. As of February 2017, available LiDAR data in the Philippines covers 125,200.00 sq.km. or 42.43% of the land area of the Philippines. As part of product generation, definition of mapping design was considered. This includes algorithm for postclassification, development of geodatabase schema, and map layouts. Output maps in custom and 1:10,000 scale JPEG maps, shapefiles and KMZ files are distributed to local government units, national government agencies and other stakeholders for use in planning and other applications. Definition of LULC classes and types is in accordance with the standard codes of Bureau of Soils and Water Management while 1:10,000 is based on National Mapping and Resource Information Authority map indexes. Initial classified maps are maintained in high resolution layers. Detailed objects are refined by determining the Minimum Mapping Unit (MMU). The use of mapping design has standardized the output agricultural resource maps of implementing universities involved in the Phil-LiDAR 2 Program. Models and automated workflows were developed to improve the implementation of the map design.

Development of Mapping Design for Agricultural Features Extracted from LiDAR Datasets