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
53
questions
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1answer
28 views
No valid training data were found [Google Earth Engine]
I would like to create a classification model through randomForest model. I used Sentinel 2 dataset. Everything is working if I'm using the original bands for the predicted variable. However, if I ...
0
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0answers
14 views
Obtaining same classification results using VH and VV polarization for Sentinel-1 data
I am performing an image classification(Random Forest) for obtaining rice and non rice areas from Sentinel-1 data. As a result am obtaining same classification accuracies for both polarizations. I ...
1
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1answer
81 views
Generating prediction raster from Random Forest model using R?
I fit a Random Forest model to tabular data from test sites in R, and now would like to generate a raster showing predicted probability values using raster data corresponding to the same predictors (e....
0
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1answer
58 views
GLCM measure in an object-based classification?
I am trying to classify agricultural fields with randomForest model. I will conduct an object-based classification. To do so, in the code by Ned Horning, I provide the boundaries in a shapefile. The ...
1
vote
1answer
69 views
ArcGIS Pro Forest-based Classification and Regression fails with error
I'm trying to run a Random Forest Classification and Regression in ArcGIS Pro 2.3.2. I've already run this analysis using Bayesian logistic regression in R, and want to compare the results from RF.
...
-1
votes
1answer
74 views
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, ...
1
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0answers
122 views
Difference between GEE and sklearn random forest output
I am training a random forest in GEE to predict canopy cover. See here for example. Implementation of RF is
var rf_model = ee.Classifier.randomForest(5).train(to_TrainAll, target, bands);
My ...
0
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0answers
16 views
Error in compareRaster(rasters) : different extent
I'm having this error in NDVI tif layers, however, all the layers have the same extent and resolution. The only difference is an elevation layer (Aster_DEM_UTM).
2
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1answer
278 views
Calculate variable importance for classifications in Google Earth Engine
I am doing a simple Random Forest classification in Google Earth Engine. I try to classify upland, water and wetlands, using 25 variables derived from one year of Sentinel-1 images. The classifier ...
1
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0answers
157 views
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 ...
0
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2answers
163 views
Is the Random Trees Classifier in ArcMap 10.5 equal to Random Forest?
Is the Random Trees Classifier in ArcMap 10.5 the same as what is named Random Forest in other applications/software?
I see that the parameters are the same and the design seems the same, but I need a ...
1
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0answers
87 views
Crash after performing random forest using enmap box and dzetsaka
i want to perform random forest classification using tools like dzetsaka and enmap box on qgis 3.2 version but after classification completes upto 50 percent qgis crashes what can be the issue
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2answers
158 views
Classification model using NDVI time series?
I am trying to form a classification model with the help of NDVI time series data. I want to use methods like SVM and Random Forest. I know how to apply these methods to normal data. But, I am ...
2
votes
2answers
589 views
Load (input) and Save (output) rds files with R in QGIS script
I have done a Random Forest classification model in R and I have implemented a script to work in QGIS. For the moment I specify the model's path into the script to apply it (image), but is it any form ...
4
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1answer
380 views
Pickling a Classifier in Google Earth Engine
I'm busy trying to create a widely applicable reedbed vegetation classifier that could potentially classify any given area within Europe. I already have training data for an area around the Balaton ...
-1
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1answer
150 views
Predicting Enhanced Vegetation Index using Random Forest in R [closed]
I am a master's student and I am trying to use radar observables derived from SAR imagery to predict Landsat 8 Enhanced Vegetation Index (EVI) for different seasons.
I have extracted EVI and various ...
2
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1answer
193 views
WorldClim data NA for my coordinates
I am trying to run a species distribution model using random forests in R.
I have location data for species occurrence in a national park.
When I load the WorlClim data, the data for my coordinates is ...
3
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0answers
505 views
Using Random Forest for big data?
I used Random Forest regression for my work, but now I have another problem because I have really big data. I am using a VHR and this is much raster information. My script in R is this:
rand.zero <...
0
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1answer
265 views
Random Forest Classification of Landsat8 Image gives invalid/noise output
In my previous question (memoryerror in Supervised Random Forest Classification in Python sklearn) encounter further issue on random forest classification output. The python code runs fine, but the ...
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0answers
2k views
NumPy ValueError: operands could not be broadcast together with shapes (1,2) > (1678,2218)
My objective is to classify a Landsat 8 image using supervised classification. I have a training point shapefile data and a preprocessed Imagery. I want to use Random Forest classification method.
...
0
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1answer
2k 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 ...
3
votes
1answer
876 views
Confusion Matrix R
I'm having some problems to understand the result of my confusion matrix. Here is my case:
I've run a classification (random forest) on a satellite image. To do so, I created 50 random points for ...
2
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0answers
180 views
Image classification: separating pine forest, lowland and upland hardwood
I want to classify 20 feet-resolution 4-band leaf-off image into lowland hardwood, upland hardwood, pine trees, and other (bare ground, water, roads etc). I am thinking to use randomForest package in ...
1
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1answer
218 views
Low Recall for Radar Image Flood Classification
I am following the example here to learn how to classify flood images.
I am using a single band of the Sentinel-1 radar imagery. I am able to build and train my model without trouble.
The problem is ...
1
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1answer
1k views
Random Forest classification not in R [closed]
I had previously used ENVI to create ROIs for a Random Forest classification. After creating my files in ENVI, I exported these to EnMap and ran the classification there. (Please note knowledge of ...
0
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1answer
698 views
How to convert lat long coordinates into categorical value in R?
I have latitude, longitude coordinates as follows
latitude longitude
41.775974 -71.329887
42.184913 -71.9179
41.682957373 -71.56037000
I want to use it as one of the features in a ...
1
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0answers
201 views
Supervised Random Forest in R
I did an image classification using random forest algorithm in R. I got the result but I do not understand what does the confusion matrix shows ? I mean what does the rows and column show?
These are ...
3
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1answer
5k views
Random Forest out of the bag and confusion matrix
I have implemented Random Forest classifier to classify remote sensing data in R. The original code comes from here:
How to perform Random Forest land classification?
Everything works fine, but what ...
6
votes
1answer
2k views
Random Forest land cover classification in ArcMap?
I am an undergraduate student working with a very large data set (to me), and who has NO experience with R, but is fairly comfortable with ArcMap.
I have about 60GB of 8band 1m satellite imagery of ...
2
votes
1answer
494 views
Performing Random Forest using EnMap Box?
I am new to the software EnMap Box that incorporates Random Forest (RF) as one of its capability. To learn the Enmap, I followed the RF tutorial provided online.
My goal is to use RF as a tool to ...
4
votes
1answer
1k views
Looking for example of a Random Forest tutorial to estimate spatial distribution
Could anyone point me to a Random Forest tutorial for predicting a spatial random variable? Or an easy dataset to try to work through.
For Decision Trees and Random Forests, I found some very good ...
1
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0answers
150 views
Effects of heterogeneous vegetation in mapping canopy cover using randomForest in R
I have a 5.8 m resolution satellite image (LISS IV aboard IRS-P6, in the wavelength (micrometers): 0.52 - 0.59 (band 2),0.62 - 0.68 (band 3) and 0.77 - 0.86 (band4). The swath covers a densely ...
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1answer
1k 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)
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2
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1answer
252 views
Incorporating terrain data to predict canopy cover using randomForest in R? [closed]
I have a 5.8 m resolution satellite image (LISS IV by IRS-P6, in bands 4, 3 and 2) of a densely forested region in the Eastern Himalayas (altitude 700 m to 3200 m). My objective is to predict regions ...
5
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2answers
355 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 ...
1
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1answer
379 views
error of randomforest classification with Landsat data
I want perform randomforest classification on Landsat data. Here is some code I found from a paper. But when I run into the "classification" part, there is an error said "Error in eval(expr, envir,...
2
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1answer
3k views
Computing unsupervised random forest classification in R?
I want to compute an unsupervised random forest classification out of a raster stack in R. The raster stack represents the same extent in different spectral bands and as a result I want to obtain an ...
-2
votes
1answer
364 views
R code for SDM using randomForest [closed]
I wonder if someone can provide me with R code for running Species Distribution model using randomForest where I can't find any tutorials or demos for this.
1
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1answer
272 views
Customize rules in Random Forest for tree species classification
Is it possible to customize the rules in Random Forest algorithm for tree species classification?
all the integration or customization of rules in random forest algorithm is done in medical field, ...
5
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3answers
3k views
Pixel-based and object-based classification!
I would like to understand if pixel-based classification algorithm (e.g. Maximum Likelihood classification ) can be used for object-based classification (i.e. after a segmentation procedure).
On the ...
6
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3answers
2k views
How to generalize training data for a random forest classifier?
I am working with a random forest classifier in eCognition (new with eCognition 9.0). The image shows 8 NAIP tiles I am attempting to classify using approximately 100 training points. The training ...
3
votes
1answer
478 views
Classified Images of RandomForest-Classification look clustered
I performed a RF-classification.
I have 6 bands, ~250 trainingpoints in a shapefile, OOB estimate of error rate: 1.56%
Picture of take trainingpoints added.
My code:
setwd("D:/BA-Workspace/...
3
votes
1answer
816 views
Rf-Classification seems to work but gives an error 15 seconds later
This is my code.
It classifies an imagery-stack(xvars) and reads a shapefile with training-points.
If I run single rows they work. Even if I run them all, they work and start to predict but after 15s ...
0
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1answer
2k views
I don't find the mistake in my RandomForest-classification
I am trying to make a RF-classification of aerial-imagery to specify tree-species.
I extracted 3 bands and made a .csv file with columns:
band1 band2 band3 x y class
The band columns include ...
4
votes
1answer
2k views
Performing Random-Forest Classification of 10cm Imagery for species-distribution in R (no point-shapes)? [closed]
I'm trying to classify 10cm-resolution images with the RF-package.
I do this to separate some species in the forest, seen on my images.
While I was searching for an answer, I found the following ...
11
votes
1answer
2k views
Multispectral image segmentation for natural-resources applications using R
R has the capacity for image segmentation, although all of the examples I have come across utilize a single band for the segmentation (example). I am interested in combining R's capacity for random ...
3
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0answers
345 views
R: Can raster predict function pass to predict.rfsrc (a prediction function in a parallel verion of RandomForest)?
It seems that raster predict function can pass to predict.randomForest by setting the "type='response'". I am using a parallel version of randomForest package called the "randomForestSRC" and I am ...
2
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1answer
947 views
Running Random Forest Classification on WorldViev-2 image in R - problem
I have a problem with performing RF in R for a WorldView-2 Scene. I've never ever before used R for remote sensing classification, so I simply followed what is written here.
I've loaded scene (8-band ...
2
votes
1answer
2k views
Using Regression Trees in ArcGIS
I have a follow up question to Statistical analyses for survey against raster?
I have a very similar problem as the initial poster David. I am creating a multivariate model from raster data in order ...
3
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2answers
2k views
How to utilise single 'randomForest' model for several rasters in R?
I am using randomForest package in R to derive species distribution models. When I predict the model to the RasterStack containing the predictors in which the values were extracted to build my model, ...
