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Questions tagged [random-forest]

An ensemble classifier that consists of many decision trees and outputs the class that is the mode of the classes output by individual trees

2 votes
1 answer
97 views

I am building a simple random forest classification model. This requires samples of data points, in this case, the stacked band values at different coordinate (x, y) points. I am using a GeoPandas ...
tds's user avatar
  • 296
0 votes
1 answer
43 views

I am attempting to determine the number of votes that contribute to the final decision in the Google Earth Engine Random Forest algorithm. However, I am unsure how to obtain this information. Could ...
Carlos Eduardo Carvalho's user avatar
0 votes
1 answer
131 views

I'm new to GEE. I am trying to use random forest classification to identify solar panels in a region of Brazil using a Landsat 8 median image and derived bands. However, the dataset seems to be too ...
Juan's user avatar
  • 3
0 votes
1 answer
140 views

Can you advise me on how to correctly use .stratifiedSample to prep input for .smileRandomForest, using Google Earth Engine (GEE) Python API? I'm trying to create training data with .stratifiedSample. ...
user2748630's user avatar
0 votes
1 answer
63 views

I have tried a LULC classification using random forest algorithm in Google Earth Engine but error showing: Layer error: Property 'B2' of feature '0' is missing. My script code: https://code....
Debasish Samanta's user avatar
0 votes
1 answer
212 views

I am trying to do a Random Forest in Google Earth Engine. My data is unbalanced (more or less I have 3 times more points of one class) so I want to balance them. I tried to give different weights to ...
Omar Tomas's user avatar
1 vote
0 answers
179 views

I have yield data and multiple vegetation indices values in a tabulated form for multiple years. I applied machine learning regressors using the .csv file and tested the performance. The random forest ...
CESCRA IARI's user avatar
-2 votes
1 answer
88 views

I want to do a time series analysis analysis for land cover classification. For 2024 I am using this dataset COPERNICUS/S2_SR_HARMONIZED https://developers.google.com/earth-engine/datasets/catalog/...
Sonia Das's user avatar
2 votes
0 answers
486 views

I wrote a script for Google Earth Engine that allows me to analyze geospatial data. Initially, I loaded three data sets: a predictor shapefile, a forecast area shapefile, and a collection of landslide ...
gabrielenapolinic's user avatar
0 votes
1 answer
563 views

I am training a random forest model in Google Earth Engine, and I want to output the confusion matrices so I know which classes are being confused for which. By default, the confusion matrix is ...
Matt's user avatar
  • 151
1 vote
1 answer
803 views

I have been trying to train a random forests algorithm to sort of predict fire occurrences, using MODIS fire occurrence data as an outcome variable and elevation, distance from urban areas, air ...
tcf's user avatar
  • 11
1 vote
0 answers
610 views

Is there any script GEE for hyperparameter tuning for random forest regression with grid search? Here's the code: // Hyperparameter Tuning var test = bands.sampleRegions({ collection: ...
galcit's user avatar
  • 21
0 votes
1 answer
201 views

i tried to visualize the regression from random forest, but it cannon appear in console or map, the variable predictor has been export by same scale and crs. why this is happen? // Display the input ...
galcit's user avatar
  • 21
0 votes
0 answers
161 views

I have conducted a supervised classification in Google Earth Engine using Random Forest, to which I have provided the code. https://code.earthengine.google.com/3b3d4583f26a4651f4fbe10aa80c5f30 Map....
Erika's user avatar
  • 1
0 votes
1 answer
268 views

I am working on a vegetation type classification using random forest and Sentinel-2 imagery, and I would like to export my final output map (GeoTIFF) which contains 7 classes and some masked areas ...
leeng's user avatar
  • 1

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