A cartographic delineation of distinct land areas, identified by their geology, topography, soils, vegetation, climate conditions, living species, habitats, water resources, as well as anthropic factors.
2
votes
0answers
56 views
How to create raster attribute table to a raster data using gdal python?
I classified a remote sensing data and saved it as a raster using Gdal python. I want to create a raster attribute table for this classified result.. my classified raster has five classes with ...
2
votes
1answer
90 views
Is machine learning used much in GIS?
I'm new to GIS. Is machine learning used much in this field, and where?
I'm investigating a job opportunity with a mapping company working on traffic awareness. My background is in supervised machine ...
8
votes
2answers
361 views
How to reclassify a very large land cover dataset?
Consider the NLCD2001 Land Cover dataset for Alaska (download link). I need to reclassify this dataset so that only pixels of value 41, 42, and 43 are preserved; all other pixel values should become ...
3
votes
2answers
50 views
Works (publicly available) combining LUCAS with other European land data bases?
EUROSTAT provides the LUCAS dataset, a multi-purpose survey on the state and the dynamics of changes in land use and cover in the European Union.
I wonder if there are any land classification ...
2
votes
2answers
150 views
How to manually reclassify a contiguous region of misclassified pixels?
The attached image is the result of an image segmentation algorithm on high resolution imagery. The smaller clusters of pixels represent trees and brush and the larger cluster of pixels (marked with ...
10
votes
1answer
448 views
How to perform Random Forest land classification?
This is a follow-up to a previous post: Machine Learning Algorithms for Land Classification.
It seems that the Random Forest (RF) classification method is gaining much momentum in the remote ...
18
votes
6answers
569 views
Machine Learning Algorithms for Land Classification
I am interested in learning what software exists for land classification using machine learning algorithms (e.g. k-NN, Random Forest, decision trees, etc.) I am aware of the randomForest package in R ...
