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2 votes
0 answers
125 views

Using images from different Landsat missions and Sentinel-2 for machine learning

I am doing some image segmentation using random forests on satellite imagery. The events I am trying to detect are somewhat rare so my training sets are very limited if I want to use Sentinel-2 ...
Charbel El Khoury's user avatar
3 votes
1 answer
633 views

Using RandomForest for land use classification in Google Earth Engine: Training accuracy shows error

I am using RandomForest classification for my LULCC study. I have been successful in running the classification including getting the "validation accuracy" as 0.87. However, my "...
Banashree Thapa's user avatar
3 votes
1 answer
3k views

Google Earth Engine really slow in loading maps

I am using the code below to run random forest classification, clip and mask the layer, and then export the map to Google Drive. I expected the export process to be slow. Nevertheless, why are the ...
Mohamed's user avatar
  • 39
1 vote
1 answer
5k views

memoryerror in Supervised Random Forest Classification in Python sklearn

I have Landsat 8 preprocessed image I want to classify using random forest(RF) classification in python. The size of the image is 3,721,804 pixels with 7 bands. I have 250 training data shapefiles ...
Kaleab Woldemariam's user avatar
1 vote
1 answer
2k views

The stability of randomForest models after increasing predictor variables

With reference to the posts: Incorporating terrain data to predict canopy cover using randomForest in R and Random-Forest Classification of 10cm Imagery for species-distribution in R (no point-shapes) ...
csheth's user avatar
  • 664
5 votes
2 answers
448 views

Random Forest to estimate land use in past with Landsat

I am new in Machine Learning and in R. I am working in my Master thesis. I am trying to estimate the LULC of the years 1984, 1990, 2000, 2011, 2014 for characterizing the forest dynamics. I have for ...
Juan Jose Mena's user avatar