Click here to enlarge image. Table 1 lists data layers ... Optimal pipeline routing rests on an integrated examination and analysis of all data. A raster-based GIS model depends on collecting ...

Quad tree is a common raster data structure that uses recursive decomposition to divide a raster into a hierarchy of quadrants. This papers aims to develop a vectorization model for the conversion of ...

When using deep learning services on my arcgis image server, I receive this as a response for a QueryDeepLearningModelInfo job but it also tells me my model isn't defined correctly but when I download ...

Deep learning model inferencing in ArcGIS is implemented on top of the Python raster function framework. This repository serves to provide guidance on deep learning Python raster functions in ArcGIS, ...

Despite the growth of GIS and spatially enabled applications, surprisingly few people have augmented their traditional point, line, and polygon GIS with more sophisticated spatial tools and ...

One image was used to produce the spatial distributed manning roughness to feed the model, the other one was used to delineate the actual inundated area by a modified NDWI method. The model and the ...

GIS data used in the model can be raster, vector, textual and hybrid types from many diverse sources using state-of-the-art techniques: geometry from CAD systems; video and slide images ...

Geometric computation can be heavy duty for spatial queries, in particular for complex geometries such as polygons with many edges based on a vector-based representation. While many techniques have ...