this time, use all the odd index values to update rows ( if i%2 0: row = list ) and then cursor. da.UpdateCursor to get PopupInfo's for all rows, then split and create new lists just like with search cursorĥ. Loop through field names list with arcpy.AddField_management to add all fields (skip if they already exist)Ĥ. Then split it into a list based on '' tag but not the 'td>' closing tag into a new list of field names (even indexes) and field values (odd indexes)ģ. da.SearchCursor to get the PopupInfo string from the first row. use the arcpy KML to layer tool and Project tools to get into to the desired coordinate system (i ran into problems adding fields to the original conversion output, which may be due to the layer file associated with it)Ģ. I've been able to make this work using cursors and lists to split the PopupInfo xml field into useful valuesġ. There is a related workflow to extract attributes from extended data - if anyone needs this message me in GeoNet. The attributes you expose will then be written as properly typed fields in a Geodatabase. You may need a GeometryFilter transformer after the Reader to filter Placemarks of interest, and if handling date fields, a DateFormatter to make the values writable to Geodatabase (say %x input, FME date output).
#Kml to csv extendeddata convert how to
How to expose feature attributes from KML tag - FME Knowledge Center
The data workflow between the Reader and Writer is this: Then author a Spatial ETL tool with KML Reader and Geodatabase Writer, manually specifying each output feature class' geometry and attributes. Usually only one Placemark geometry type is of interest, but if you need to convert multiple Placemark geometry types repeat the review for each one. Unfortunately there is no magic wand to wave to help with this, the data is untyped in the KML description and you need to do this clerical review. First, inspect the KML features in Earth and decide what attributes you want and what data type they are. Both Python with lxml and R with xslt (extended package to xml2) modules can run XSLT 1.0 scripts. While KML does support a schema object that Data Interoperabilty's Quick Import geoprocessing tool would see and honour, often KML files are received that contain only HTML data in description objects, and the data is frustratingly close but inaccessible.ĭata Interoperability is still the answer, but you need to author a Spatial ETL tool tailored to your data. Since KML files are XML files, consider XSLT, the special purpose language designed to transform XML files to different XML, HTML, even CSV formats. Or, any chance you could post that waypoint kml file or the needed dji tags?Īfter hours of scanning the controller interface, the underlying files, etc I haven't been able to find a means to keep the kml altitudes.I am regularly asked how to extract the tabular data visible in KML description balloons in ArcGIS Earth into properly typed attributes that can be written to a Geodatabase feature class. I haven't been able to find out how to export a waypoint from DJI Pilot, how did you do that? Google Earth) have no idea that those DJI-specific tags exist. But you have to generate your waypoint missions programatically, since other programs (e.g. Then check the format of the waypoint in the exported kml file, there are some DJI-specific tags that need to be present in the KML file. I don't have the exact specifications at hand, but you can find them by creating a waypoint in DJI Pilot which has an individual height, and then exporting the route. kml to be properly interpreted by DJI Pilot. Yes, the waypoints need to be defined in a specific way in the. Djiuser_8WSiEju8ZUCM Posted at 7-13 02:10
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