Questions tagged [land-classification]

A cartographic delineation of distinct land areas, identified by their geology, topography, soils, vegetation, climate conditions, living species, habitats, water resources, as well as anthropic factors.

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GloH20 Global Koppen Geiger Raster Values

I am trying to use the global KG classification raster from http://www.gloh2o.org/koppen/. Everything seems to be working fine, but the values from the raster seem to range from 0 - 30, however the ...
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Selecting a specific land cover type based on colors in GEE

I want to select a specific land cover type in a land cover map obtained from the GEE dataset. Because I know the corresponding hex colour code, I tried the colour code as a condition to filter the ...
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Created weighted sample points in ArcGIS Pro

I have a classified satellite image and I want to create a confusion matrix to check its accuracy. Instead of doing a "simple random sample", I want to do a weighted sample, where there is a ...
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How to classify tree cover overlapping roofs in eCognition

This might be a fairly simple question, but I'm new to eCognition. I'm using Developer 10.2. For canopy that overlaps rooftops, I need to define these areas as separate objects and classify as canopy. ...
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Accuracy assessment of land class covers in ArcGIS

I want to compare the accuracy of citizen scientists in mapping a satellite image by using a raster labelled by an expert as my ground truth. How can I do this in ArcGIS Pro? What I've tried so far: I'...
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No valid training data were found [closed]

I'd like to use randomforest to create a classification model, but when I want to classify landcover in 1986, it always says the error: No valid training data were found. Here's my code: var dp2021 =...
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How to combine Legend Values of existing LULC in GEE?

I'm trying to refer my study area with this amazing LULC, I found on Earth Engine Apps, but it has about 255 legend values. I am not understanding how to proceed with this classification of my study ...
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Creating CNN model for multi-class image classification using Google Earth Engine

I am trying to build a satellite image classifier CNN using Google Earth Engine. I have been following this tutorial: https://colab.research.google.com/github/google/earthengine-api/blob/master/python/...
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Exporting a classified image in GEE without getting a BLACK raster image

I have been trying to export this classified image. I want my GeoTIFF file to show this view... But every time I export, my image turns out Black. after some digging i got to learn that I need to ...
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Layer error: No valid training data were found

I am creating soil land use classification through the use of ee.Classifier.smileCart(). I created the variable training, but I got an error: Layer error: No valid training data were found. // This ...
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landsat C2L2 random forest classification

I want to apply random forest classification on landsat C2L2 data. I found code for Landsat Top of Atmosphere (TOA) collection but i think its better to use C2L2 colection (i will be so glad if any ...
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Image classification check points

I am running an object based image classification and am wondering how I should create my accuracy check points. Do they need to be random or can I select the areas manually? The majority of my study ...
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Eliminate isolated pixels in Google Earth Engine classified image

Is there a way to eliminate isolated pixels just like we can do with the classification sieve of the QGIS SCP plugin? I've done a classification of an image that contains many isolated pixels which I ...
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Showing the land cover class area in the Google Earth Engine chart

I've produced a classified map in GEE and trying to create a chart showing the area for each landcover class. The code I'm using is as follows, var classNames = ['vegetation Covers', 'Water Bodies', '...
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Land use land change map with Landsat

I'm preparing land use maps for various years using Landsat 8 and Landsat 7 imagery. For Landsat 7, I've decided to not fill the gaps for SLC as it might result in inaccuracies. For the land change ...
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Resolving land use/land cover misclassification

I'm relatively new to RS, I've been using Landsat Collection 2 Tier 2 data for my land use maps in ArcGIS Desktop. The problem is that my AOT has scarce rural built up area, due to which other barren ...
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Compare two rasters and create a new raster with common and different values

I have two classified maps (1995 and 2000) with five classes (built up, vegetation, etc.). I want to create a new map that will have all the built-up pixels from 1995 and will only have pixels from ...
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Calculating raster land use zone characteristics for multiple circular buffers derived from lat long coordinates in QGIS 3.12.3

Calculating raster land use zone characteristics for multiple circular buffers derived from lat long coordinates in QGIS 3.12.3 I am running QGIS 3.12.3. I have 150 circular buffers at 1KM, 4KM, ...
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Use ArcMap to record dominant land classification per DEA in Ireland [duplicate]

I have a shapefile consisting of Ireland District Electoral Areas (DEA), in which there are over 3000 polygons. Secondly, I have a shapefile consisting of the Land Use classifications in Ireland. A ...
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Raster comes in black square outside my shape layer while performing unsupervised classification in QGIS

Any idea why my raster comes in black square outside my shape layer while performing unsupervised classification in QGIS? How can I correct this? Tried correcting it by adding 100% transparency for ...
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3 votes
1 answer
230 views

LULC Classification of Sentinel-2 Using XGBoost in R

I am trying to do Land cover classification using xgboost in R language. These are the following steps: > library(raster) Loading required package: sp Warning message: R graphics engine version 14 ...
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Reclassify values of the land use land cover class of Copernicus Global Land Cover Layers in Google Earth Engine

I am using the Copernicus Global land cover layers:CGLS-LC100 collection 3 data set. I want to reclassify the value of the lulc for my application. Map is showing but when I want to reclassify the ...
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Object-Oriented LULC Classification in Google Earth Engine

I am testing a object-oriented LULC classification approach in Google Earth Engine, using the code available at the following link: https://code.earthengine.google.com/4032fe102252b285ec249f395d0d6d0f....
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Alternative way of correctly classifying Landsat images

I am conducting a supervised classification of Landsat 8 image. I have 6 classes: river, forest, built-up, brush land, grassland, and agricultural land. I assessed the spectral separability of each ...
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While clipping a Raster generated from SCP plugin (classification) all the colors are vanished in the end output and the raster generated is in B/W

I have done all the LULC classification using SCP plugin. after completing my classification, I wanted to clip the raster using a Shape File. But when I do it, the colors are vanished in the output ...
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2 votes
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I have a satellite image. I want to sample all the trees and vectorize them at once

I have a satellite imagery. I want to vectorize all the trees at once by color sampling. How to do it? I used Photoshop to sample the all the various color ranges of trees [Green] to distinguish ...
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1 vote
1 answer
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Validate a supervised classification in Google Earth Engine using ground truth data

I ran a supervised classification in Google Earth Engine (GEE) using the following script. // add an image, bounds, filter data and sort by cloud cover var limitiNapoli = 'PathToMyasset' var image =...
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Adding values to landuse class raster using ArcMap

I am currently working on a map that holds my animals' projected radio-locations from my work this summer. I have a current land class map downloaded from the USGS of the site; however, some of the ...
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4 votes
2 answers
61 views

Build land classes from GIS data

I have combined geo-referenced terrain, climate, and soil data with the requirements of the different agricultural food crops in order to build land classes that tell you where which crop can be grown....
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Classifying USA medical facilities as rural or urban from address or zip code R

I have a list of thousands of USA medical provider locations (street addresses, zip code and state details) and I need to classify each one as either urban or rural. I have no lat long details and my ...
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Problems with no valid "nodata" value

I'm trying to use the "lecos" extension and I took an already classified image from the mapbiomas website, cut it out to my area of ​​interest, then reclassified to have in a .tif file only ...
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Preparing training data for crop species classification from drone images

I have high resolution multispectral (R,G,B,NIR,RE bands) images of a field taken from MicaSense RedEdge mounted on a drone. There are various species of crops planted. I want to classify the crops or ...
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1 vote
1 answer
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Land cover data to create single colour polygons

I am trying to replicate the map here https://www.cdc.gov/yellowfever/maps/africa.html I have downloaded land cover data, which is what the Northern countries are based on, from https://www.diva-gis....
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778 views

ArcGIS Pro Classify Raster Failure ERROR 002834

I am trying to run the Classify Raster tool in ArcGIS Pro 2.5 using an .ecd file generated from the ISO Classifier tool. I am using a composite of Sentinel bands run through the PCA tool and an ...
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161 views

Error in Built Up area Classification using Landsat 8 in google earth engine ( SVM, RF and Cart)

I am using Earth Engine to Classify an area using supervised classification with a combination of reflectance bands and indices. The built-up area gets mixed with fallow land (bare soil) and I have ...
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Highly Imbalanced dataset

I have a dataset (vector data) that contains the polygons and their corresponding crop type. This data is highly imbalanced i.e, I have a lot of classes that contain one sample only, as shown in the ...
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1 vote
1 answer
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Performing land cover classification over whole country

I am doing land cover classification over the whole country of Djibouti. I am downloading Sentinel 2 images for this purpose. I have realised doing land cover classification over a large area needs ...
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1 vote
1 answer
153 views

Why using buffers in land use / land cover classification task?

I am following the tutorial How To: Land-Use-Land-Cover Prediction for Slovenia and I would like to understand why they used a positive buffer (expanding boundary limits) in the first part of the ...
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1 answer
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Fire Danger Forecast index- classification - USGS

I recently downloaded a raster image called Fire Danger Forecast index from USGS - Fire Danger Forecast, and I wanted to get the probability of fire for a set of points I have in another layer, but ...
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2 votes
1 answer
253 views

Predicting the whole image through trained classifier and visualize it as classified landuse and landcover image(LULC)

I am working on LULC classification of Sentinel-2 image(4-bands) using Machine Learning algorithms. I split the whole image into 64*64 patches and assigned class label (builtup, barren land, water and ...
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1 vote
1 answer
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Automatically fix overlaps by weight/occurrence

I'm working on a project where I have asked a number of individuals to digitize the same features on the same satellite image. For example, an image of a coast where a group of individuals each draw ...
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3 votes
1 answer
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Sentinel-2 images

I am going to use Sentinel-2 images for crop type classification, and I am new to remote sensing. I want to know if there is an added value when using both L2A and L1C images. From what I understand, ...
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0 votes
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146 views

Problem exporting a large classified image in Earth Engine

I am trying to export a GeoTIFF image but it doesn't work. https://code.earthengine.google.com/fe534ace7f3fc4fdfd155ded24155525 When I export the large classified image to Google Drive, I don't get ...
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2 answers
295 views

What cell size do I use when the raster cell size is larger than the zonal vector features for Zonal statistics as table tool?

I want to calculate the mean precipitation from a PRISM raster for a land use data layer using the Zonal statistics as table tool for ArcGIS 10.7. The land use vector layer contains over 20,000 ...
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2 votes
1 answer
827 views

Dealing with NAN values in my training dataset

I am new to remote sensing. I am working on a project where I need to perform land use land cover classification. For such a task I want to use machine learning (python). My features contain 'BANDS' (...
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1 answer
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Area calculation

I have a composite image collection which I used for land use classification. I want to calculate the area of the feature collections. The code I have used is: // Composite an image collection and ...
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1 answer
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Calculating LULC change 1973-2014 of a classified map (raster converted to shapefile) in ArcGIS 10.6

I am attempting to workout landcover change between two classified landcover maps. Ideally I want to show percentage change between the years per landcover type. I think I have done this but I am ...
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1 vote
1 answer
372 views

Landsat-8 level 2 DN to reflectance

I have downloaded a series of Landsat-8 level 2 images. My main purpose is to obtain reflectance out of them; however, the scale of the different bands does not look like reflectance (e.g. Blue Band ...
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2 votes
1 answer
725 views

Scripting color palette to align with corresponding classes from supervised classification in Google Earth Engine

When I display my classification map, the colors don't line up with the variable that I want them to. For example, my forest category is represented as red (instead of my goal color-green), or my ...
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2 votes
0 answers
2k views

AttributeError: 'NoneType' object has no attribute 'GetFeatureCount' [closed]

I am trying to use the Landscape Vector Overlay function in the LecoS plugin to calculate the amount of various proportions of land cover types (using an ordinary landscape raster) within buffer ...
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