All Questions
Tagged with random-forest image-classification
7 questions
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What is the optimal number of samples in a random forest classification?
I am conducting a supervised classification as part of a LULC analysis. I have 8 classes with sample sizes maxing at 500. However, I am still seeing some misclassification and want to add more classes,...
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1
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Is there a way to obtain the variable importance for a specific class in Earth Engine?
I used a .smileRandomForest() and I know that by calling .explain() you can see the relative importance of the variables for the general classification... but I would like to know which inputs ...
- 13
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"User memory limit exceeded" during Random Forest classification in GEE
I succeeded in an initial attempt at using Random Forest classification on my input image (an exported mosaic covering ~ 2,797 km2). I used 30 trees, classified based on 4 bands, and passed a training ...
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Normalising image bands in google earth engine before classification [closed]
I have an image that has four bands. Three of them are derived from Sentinel-2 to give NDVI, NDBI and SAVI. The fourth band is derived from a Sentinel 1 SAR image collection. The Sentinel 2 bands have ...
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3
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Encoding categorical variable for random forest with sklearn
I have a random forest model that works pretty well, taking a bunch of vanilla remote sensing raster data as input. I think it could be improved with addition of some information that I currently have ...
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Classify polygons with Random Forest on Python
I have a segmentation shapefile made with e-cognition containing many polygons of which a part classified for the train file. I would like to classify them by applying labels (e.g. water, vegetation, ...
- 443
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Using output of unsupervised cluster analysis to train supervised classification for vegetation mapping?
I'm using Google Earth Engine to classify mangrove forests from Landsat imagery to calculate extent. Let's say I perform an unsupervised K-means cluster analysis on a Landsat scene to identify general ...
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