Questions tagged [classification]
The process of sorting or arranging entities into groups or categories; on a map, the process of representing members of a group by the same symbol, usually defined in a legend.
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Supervised classification using training samples from different months
I am performing supervised classifications of forest stands in the Delta region of Buenos Aires. For these classifications, I use a set of bands and indices derived from Sentinel-2 images for ...
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How can I classify built-up areas by density? [closed]
Using Sentinel 2A sattelite imagery, I need help classifying built up by its density as; high (big cities, downtowns), medium (suburbs), low (rural or isolated residentials).
So what's the best way to ...
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Layer error: Description length exceeds maximum [duplicate]
for my master's thesis work, I am doing a crop-type mapping using supervised classification. The code is working. However, I cannot view the classification map as I got this error 'Layer error: ...
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Format gradient legend with thousands separator
Is it possible to format the gradient legend with the thousands separator ? I'm using QgsClassificationMethod.setLabelFormat but it doesn't accept expressions, only basic formatting. If ...
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Feature Selection for Geospatial Vector Data Classification
The problem I am exploring right now is a binary classification problem about classifying road intersections into roundabouts or not roundabouts. The available input data consists of the GPS latitude /...
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Classification Algorithms for Geospatial Vector Data
I am new to the world of Geospatial Analysis.
As such, I am interested in Machine Learning / Deep Learning techniques for classifying geospatial vector data specifically (as opposed to raster data). I'...
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Classification map in GEE does not correspond to accuracy results
I have this script in GEE that has worked successfully before for LULC mapping (with 8 classes). I used this script for mapping solar panels (2 classes: solar & non solar). The accuracy results ...
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Unsupervised classification over large area in Google Earth Engine
I am trying to run an unsupervised classification over a large area.
Here is my code:
var landsat_8 = ee.ImageCollection("LANDSAT/LC08/C02/T1_TOA")
.filterDate('...
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Creating sample points that cover all values of underlaying raster using R
I need to create sample points to extract the values of a predicted raster. The values correspond to the predicted classes and are NOT occurring in the same number. In order to be able to create a ...
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Collection.errorMatrix: Property 'B1' of feature '1_1_1_1_1_1_0' is missing
When I was doing the calculation of the confusion matrix for random forest classification, I got this error
Collection.errorMatrix: Property 'B1' of feature '1_1_1_1_1_1_0' is missing.
What is the ...
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Add a class with value/range 0 (N/A) to a chloropleth map
I am trying add a class whose range is basically less <= zero or N/A. I have to add 6 classes (Natural Breakdown) from the Age_30_49 column and add the seventh one manually somehow without chaning ...
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Is there any way to identify what does the value in point cloud text file represent without contacting the one who generated it?
I have a point cloud text file that I obtained from the internet and it contain 6 type of value. I assume the first three value represent xyz values but I do not know about what the other three ...
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What might have caused this error "x cell sizes are not regular"?
I am doing a landuse classification. I tried to convert values to raster using this:
x<-SpatialPointsDataFrame(as.data.frame(grid.data)[, c("x", "y")], data = grid.data)
r <-...
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Problems using SCP plugin in Mac OS when creating ROIs for Classification
I am trying to run classification with SCP under MAC OS but get the following errors at each step.
First I load band set. Then:
importing a ROI:
Warning [12] : The following signature will be excluded ...
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Assign raster's pixel values to a new column
I want to use a landcover raster for further training in GEE. This raster has different pixel values for different landcover classes. However, I want to assign those values in a new column to use this ...
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Resizing image for classification
I want to perform supervised classification in Python and in order to perform that I need to have a training sample raster and satellite image. My problem is the training sample raster file has a ...
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Some points are missing after using LAS classification and filtering points based on clarification and rewrite into a new file
I need to save .laz file that have only point cloud data corresponding to water classification. I used following code, it works. But it significantly reduce number of points from original file.
import ...
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When use a Supervised Classification on a mosaic dataset, one image does not get classified
I am working in ArcGIS Pro. I am trying to run a supervised classification on a mosaic datasets. The inputs to the mosaic dataset are: 4 non-geographically adjacent raster datasets; 3 of those are ...
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Google Earth Engine SVM classification computation time
I am classifying Sentinel 1 image
I used svm classifier algorithm. However, after running the code, the classifier operated for a long time without results.
I saw this solution but it didn't work (SVM ...
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ArcGIS Online Deep Leaning Error:999999: Something unexpected caused the tool to fail
Have you ever faced this error while using ArcGIS Online Deep Learning tool and trying to analyze Tiled Imagery layer?
ClassifyPixelsUsingDeepLearning failed. Start Time: Sunday, December
18, 2022 1:...
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Predict classification probability of pretrained Random Forest in GEE
I'm running examples of binary classification in Google Earth Engine with ee.Classifier.smileRandomForest, and I saving the models to apply them later using ee.Classifier.decisionTreeEnsemble. My ...
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Correct for tree shadows to reveal that which is cast in shadow
I am mapping suitable habitat for a threatened plant species.
I acquired NAIP images from 2016, 2018, and 2020, classified the imagery according to different types of habitat, and would now like to ...
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How to overcome "Output of image computation is too large" error
Does anyone know how to avoid the error of "Output of image computation is too large" in supervised classification using RF? I even tried up to 16 tilescale but it still does not work. Noted ...
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GEE OBIA - Non-zero error margin
I am trying to run this code and keep getting the error: "Classified objects: Layer error: Collection.geometry: Unable to perform this geometry operation. Please specify a non-zero error margin&...
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Error: Property 'class' of feature '0_0' is missing
Using GEE, I am trying to do a crop-type classification using Random Forest. My training data are two shapefiles I uploaded to GEE and made a FeatureCollection from their geometries. However, it gives ...
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Geometry generator - classify objects in QGIS [closed]
What is the expression for the geometry gengenerator to display objects classified/dissolved by a specific (f.e. state) attribute?
FID
name
state
1
Peter
BB
2
Ann
MV
3
Frank
BB
4
Günni
BE
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OBIA - GEE - Pattern error band
I am trying to perform an OBIA classification and followed a tutorial but I get the following error : Image.select: Pattern 'B8' did not match any bands which I don't understand because I am selecting ...
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Using one set of ROIs to classify multiple raster layers in ENVI?
I am attempting to run a SAM classification on an airborne hyperspectral dataset with six total flight lines, and the files are too large to mosaic before processing. Is it possible to create an ...
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Image reduced by neighborhood in Google Earth Engine appears different in QGIS
I have a classified sentinel 2 image. To remove single pixel outliers I have applied ee.Reducer.neighbourHood() which essentially smoothens the image with a mode reducer. Finally when export the image ...
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Removing building data from LAS Dataset Layer in ArcGIS Pro to create tree canopy height layer [closed]
I'm working with various lasd files of an arboretum in order to create a layer with heights for the tree canopy. I'm trying to remove buildings from the LAS dataset so that the layer only reflects ...
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QGIS - OTB - Object based classification - Segmentation - Does not work properly
I'm using the OTB Toolbox to perform an object based classification on a raster (clipped ESRI satellite raster).
This raster result from an aggregation of several satellite imageries, which induces ...
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Landsat images not showing water bodies and it appears on Google Earth
I tried working with Landsat images on ArcMap 10.2 for Land Use/Land Cover changes to monitor change detection over 40 years using supervised classification. The land use is classified into four which ...
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Classify georeferenced image based on colour in QGIS
I have a georeferenced image (attached) that I want to classify into a raster, where raster values correspond to the colours in the image.
Low (green) = 1
Medium (yellow) = 2
High (red) = 3
All other ...
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Export too large issue in Google Earth Engine
Here is the path to my script- https://code.earthengine.google.co.in/?accept_repo=users%2Fujavalgandhi%2FEnd-to-End-GEE&scriptPath=users%2FchakrabortySoumik95%2Ffirstprogram%3Asentinel%20Australia%...
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Raster homogeneity classification by neighbours
I have a raster layer of forest pixels (6mx6m) with different classifications (9 classes). I would like to select the optimal 0.25ha circular plots to assess these different classes, but the forest is ...
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Random forest and svm classification taking hours to run
I am performing crop classification using random forest technique on Sentinel-2 data. The file size of image on which classification has to be performed is only 26 mb.
I am using Jupyer notebook. Any ...
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Using an image as sampling layer in supervised classification in GEE
I am very new to Google earth engine and remote sensing. I would like to use an image instead of a feature collection as my training sample regions in different classifiers in google earth engine but ...
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Failing at using 'Zonal Statistics As Table' to calculate the number of pixels per class, for each individual area (19 total) of a classified raster
I am using ArcGIS Pro 10.2.9.
I have a raster. I used a polygon feature class (19 rows of data) to clip the raster into 19 distinct areas, some of which abut each other. I classified the clipped ...
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Creating a layer showing difference before/after flood (raster)
I ran a supervised classification on two satellite images - (i) before and (ii) after a flood. Now even before the floods, there were pre-existing water bodies which obviously don't count as flooded ...
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Layer error: Computation timed out
I want to run object-based svm classification with Sentinel 1 and Sentinel-2 images, and for that I first segmented the Sentinel-2 images which worked well. But then I wanted to make classification ...
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Statistical Diagram in Classification dialog box not showing/working
I am using ArcMap 10.5, and for some reason in any kind of raster I use (or point shapefile), when in properties->symbology->classified->classify, the statistical diagram in the ...
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Decision tree table format for SAGA's Decision Tree Classification
I'm trying to use SAGA's Decision Tree Classification tool to classify pixels based on 4 raster inputs and previously set thresholds. I'm basing myself on a decision table available in a scientific ...
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Classification: Layer error: Property 'Class' of feature '2_0_0' is missing:
When I was trying for LU classification, I am getting an error:
Classification: Layer error: Property 'Class' of feature '2_0_0' is
missing.
What is the reason for this error and the solution?
var ...
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110
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Google Earth Engine Mann Kendall Significant Trends
I currently have my Mann Kendall significance and trend code but I want to just show the trends that are significant. Here is my code:
var mod13 = Ls;
var coll = mod13.select('NDVI')
.filter(ee....
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How do I ignore artificial landscape (e.g., pavement, cars, buildings) in order to classify features of the natural landscape (e.g., veg cover, soil)? [closed]
I want to classify the landscape into different classes, in order to identify areas with low veg cover and bare soil. Unfortunately, any of the classification tools I use will recognize pavement, cars,...
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Classification assessment supervised in Google Earth Engine: training samples or validation samples?
I'm using a supervised classification on the GEE and I have to evaluate my results. I came across some terms that I didn't understand their application.
According to the official GEE bibliography, in ...
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GEE error Dictionary.set: Parameter 'value' is required
I'm attempting to calculate the proportion of landcover classes for each county in Oregon in GEE and export values as a CSV, but I get the following error: Error: Error in map(ID=00000000000000000000):...
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452
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How can I convert a continuous raster into a discrete (categorical) raster using QGIS?
I am using QGIS 3.22.7, and I wish to classify a continuous raster with one band into 5 discrete categories based on raster values. The raster I am working with can be found here (file size: 874 KB). (...
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251
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SVM Classifier Probability Output is Opposite of RF and CART Classifiers using Google Earth Engine
I am working on a Peatland Fire Fire Susceptibility Determination on GEE using three classifier algorithms: RF, CART, and SVM. The outputs are fire probability and binary classification (1 = fire, 0 = ...
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Steep cropland selection using ArcMap
I have:
a raster file of land cover classes, the classes are urban, bare land, forest and agricultural land.
a have a DEM, from which I can calculate the slope classes.
No I want to assign a new ...
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