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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How to simplify a land cover classification in QGIS

I have recently completed a land use classification using over 100 ROIs for 5 different land cover classes and it has developed what looks like a highly specific spectral signature for each class. ...
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71 views

Global shapefile of biomes/ecoregions?

I'm looking for a shapefile with this kind of information, only at considerably higher detail. In North America, ecoregions are classified by levels and grouped by vegetation type at much higher ...
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41 views

Ice type differentiation using satellite data

I would like to classify glacial area by categories of snow (if there is) and ice, but what's most important: between old ice and fresh ice. They have different properties that are possible to ...
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97 views

Using original Landsat multispectral image or pan-sharpened image in land cover classification?

I am currently creating land cover maps of a number of national parks across Asia from Landsat 8 imagery and also later from SPOT imagery. I plan to use supervised classifications in ERDAS IMAGINE and ...
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383 views

How to create raster attribute table to a raster data using gdal python?

I classified a remote sensing data and saved it as a raster using Gdal python. I want to create a raster attribute table for this classified result.. my classified raster has five classes with 1,2,3,4,...
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42 views

SAGA 2.2.5 Problem Object Based Image Segmentation

Every time I use the Object Based Image Segmentation with Landsat 8 data I get a segmentated image which looks like a spider's web. The image contains no 0 values. Anyone has a idea how to fix this?
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135 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 ...
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78 views

How to visualise change matrices over time

i've hit a bit of a tricky visualisation issue; I am quantifying some land use and land use change (LULUC) over a number of years. Typically, for data going from year to the next, a land change ...
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401 views

Decision tree classification of satellite image in R

I want to classify satellite image in R using RWeka classifier, J48. I have a CSV file with the classes required, and raster data loaded in R. I am able to make the tree, however, I am not able to use ...
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68 views

Raster Calculator and Land Change with multiple classifications

I am looking at land cover data that is separated into three classes: upland, wetland, and open water. I have the data for varying years. I am interested in seeing how the land has changed over the ...
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24 views

Band Separation from regular cameras

I have removed the IR block filter from a Sony digital compact camera so it has become multispectral (in a way). In addition to that I placed a IR pass filter, so it only captures photos in the Near-...
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47 views

How to extact very narrow water linear features from GeoEye-1 image

I need to extract beaver channels from a GeoEye image (attached image). What is the best approach to automatically delineate such very narrow and not very sharp water features?
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40 views

LULC using SAR data

I have a Geocoded SAR data with me. I have to perform LULC classification. I have been given a shapefile (vector data) with the different LULC categories of the region. The region is mainly composed ...
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28 views

How to classify land cover with MMU 25hac

By using the 30 meter resolution of landsat TM & ETM+ data, I want to create the land use/ land cover map. I have read in several studies to first decide about the minimum mapping unit (MMU) that ...
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53 views

How to export multiple class training data from ArcGis into R?

I want to perform some machine learning classification of images using R. I'm having issues finding out how to export my training data from ArcGis into R and I'm looking for some help. Currently I do ...
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117 views

How to select MODIS pixels with 80% homogeneous landcover from landsat classification?

I have a complex landcover classification for a landsat scene at 30m spatial resolution. Includes about 600 land cover classes. There is a fair amount of clumping per group. I have a MODIS EVI 16 day ...
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80 views

How to perform image classification with SemiAutomaticClassificationPlugin and BIP files?

I have multiband satellite images BIP format, Landsat TM/ETM containing 7/8 bands respectively along with a separate header file, some of them corrected by nearest neighbour classifier. I'm working ...
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103 views

Distinguish between the types of cultivated crops in remote sensing

I recently produced map of LULC but there is the difficulty of distinguishing between the types of crops. Is there a method to distinguish between the types of cultivated crops such as wheat, barley, ...
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46 views

Making NLCD92-styled land cover image from Landsat Images

I'm still fairly inexperienced with using qGIS and handling different image file types. Things I have completed: With a plugin called Semi-Automatic Classification Plugin, I was able to download ...
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15 views

Perform supervised classification on SAR image in SAGA GIS

I tried working on supervised classification on SAR data in SAGA. I am confused about creation of training data. How can I create Training data for my SAR image?
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24 views

QGIS image classification to use maximum likelihood, minimum distance or spectral angle algorithm?

This should be a straight forward one... I have selected over 100 ROIs from ground truthed data. I am using LANDSAT 8 imagery. I want to now perform the classification (which I guess is a supervised ...
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41 views

Multi-class classification in Google Earth Engine

I am wondering if it is possible to do multi-class classification with Google Earth Engine. And if so how? I am currently able to do binary classification as in the following code, based on the ...
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16 views

Proper Tool for Creating a 3x3 Window for Cluster Sampling in Accuracy Assessment?

I'm using a cluster sampling scheme for an accuracy assessment of the 2011 National Land Cover Dataset (spatial res of 30m). I'm using Google Earth Pro for my reference data spatial res of 15m). So ...