Questions tagged [land-cover]

The observed biophysical cover of the earth's surface. Data are essential elements in a wide array of government and private sector activities, including inventory, management, monitoring, and modeling.

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Chi-square between rasters

I have two rasters (both with 10 m * 10 m resolution, for an area of approx. 1 000 km2) with the following variables. Both are categorical. A) Habitat type with 9 different classes. B) Soil moisture ...
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QGIS Aggregate 1x1km grid into 10x10km for Brazilian Land-Use Data

I'm working with an externally-provided dataset, which is a 1x1km grid of the Brazilian Amazon. Each grid cell contains information on the percentage covered by various land-covers e.g. 30% Pasture, ...
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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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Counting how many unique values each pixel contains across rasters/layers

I am using QGIS. I have 20 large rasters showing land cover over 20 years (MCD12Q1). Each pixel contains a value between 1 and 17 that corresponds to a land cover class. I am trying to create a new ...
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Get lan&lon and values from GeoTIFF using Python

I have GeoTIFF images from https://esa-worldcover.org/en My goal is to get a list of latitude / longitude / value from that image. The value is a numeric attribute which represents a class as ...
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Extract class from lat&lon GeoTIFF using rasterio [duplicate]

I would like to extract the coverland class from all available coordinates from a GeoTIFF downloaded from ESA website. I can get a JSON structure with the polygon coordinates. This is the code: import ...
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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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LULC-2021: Layer error: User memory limit exceeded

I am trying to create a LULC map for Maharashtra State in India. I collected training polygons for 7 classes: Agriculture, Water, Builtup, Fallow Land, Barren Land, Wetlands, Other Vegetation. I am ...
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Land cover change detection using raster calculator in QGIS

I am trying to find the difference between land cover data from two years. I have used the same classification for both the raster files. For eg: 1-Agriculture 2-Forest 3-Urban 4-Water bodies 5-Barren ...
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Combining grouped reducers in Earth Engine

In Earth Engine, one can easily apply a same reducer to multiple band in an image. Unfortunately, it seems that this nice feature breaks if one uses a grouped-reducer? repeat() will work if one seeks ...
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How to distinguish never deforested from never forested using Hansen forest data

The Hansen Global Forest Change dataset has a lossyear band, for which 0 values mean no loss. However, no loss can either mean: The pixel was forest in the beginning of the sample (2000) and still is ...
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Using ArcMap to calculate percent for each pixel

I am using ArcMap. I have a land use file in TIFF format with 10 meter resolution. I would like to know in 30*30 square meter of my file how can I calculate which percent of each pixel of my file is ...
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How to add coastline over a plot of a RasterLayer in R?

I'm working with raster images. I need to add the european coastline over this plot(fdiff_north) in order to get a more usable image`: I got this plot by using these codes: ext <- c(4e+06, 5200000,...
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How to subtract two Rasters with discrete values in R?

I'm working with these two rasters: clc_forest18 class : RasterLayer dimensions : 16000, 12000, 1.92e+08 (nrow, ncol, ncell) resolution : 100, 100 (x, y) extent : 4e+06, 5200000, 1200000, ...
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How to get the number of pixel with a given value from a RasterLayer in R?

I'm working with Corine Land cover data. I want to assess the number of pixels with any forest value (311, 312, 313, 321, 322, 323, 324) of two reference years. That's wat I did: clc00 <- raster(&...
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Using higher resolution (10m) labelled land cover image on lower resolution (30m) raster

I want to train a simple CNN model to pixel-wise classify a satellite image into separate land covers. I have the ESRI 2020 land cover data which has a resolution of 10m x 10m for training. I want to ...
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Classify pixels using deep learning is giving wrong result for Landsat-7 data in ArcGIS

I am trying to classify two LULC maps from two data. One is for 2020 (Landsat 8), and another is for 2000 (Landsat 7). The pixel depth is 64-bit and both of the data were downloaded from Google Earth ...
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problem with list.files() in R

here you have my data https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-accounting-layers. I downloaded "CLC2000 Accounting Layer " file and "CLC2018 Accounting Layer" ...
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How to extract forest cover type from Corine Land Cover raster in R

I'm working with Corine Land Cover Accounting Layers files called "CLC2018ACC_V2018_20.tif.ovr" and "CLC2000ACC_V2018_20.tif.ovr". My goal is to get both qualitative and ...
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3 votes
1 answer
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ReduceRegions doesn't return values in Google Earth Engine

I am trying to reduce the percentage of crops from the CGLS-100 Landcover dataset for a set of points uploaded as asset from a shapefile. This is an operation that I've done tens of times, but for ...
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Calculating area of single class in Google Earth Engine

I'm doing a research about evaluation of the effect of catastrophic forest fires in Yakutia in 2021. I did some classification of three different classes: 'burned_area', 'vegetation' and 'water'. Here'...
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Landcover image coverage of each class in study area

I want to define a dictionary with landcover type and their coverage in my study area. I wrote the code as below, but it is not working as I want. How can I define a dictionary or another datatype to ...
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Calculate coverage of class types in GEE

I want to define coverage of each land cover type in my study area in Turkey-Isparta. I call ("COPERNICUS/CORINE/V20/100m/2018") dataset and restrict it for my region as below (I load ...
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Importing img in QGIS - Unsupported Data Source: "file.img" is not a supported raster data source

I know there are similar questions out there, but none of them answer my question/are helpful for a complete beginner. I can code on R, but am completely unfamiliar with coding in QGIS. I am trying to ...
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Raster Merge Tool QGIS 3.16.11

I am performing Raster-> Miscellaneous-> Merge tool using QGIS version 3.16.11 to merge approximately fourteen Landsat8 OLI images. These images are stacked using Bands2-7 and while create the ...
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5 votes
2 answers
342 views

Counting pixels of each land cover type within each polygon from raster image using R

I have the following raster image that shows the different types of land covers on the island of Maui (there are 22 in total): The island is divided into "mokus" or large districts, which ...
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Train SVM at higher spatial resolution than the data that is to be classified?

I want to use support vector machines to classify landcover of a raster image and compare the results for different spatial resolutions. I will simulate the coarser spatial grain by aggregating ...
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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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Running tabulate area command on Esri tiled imagery layer

Esri recently released a tiled imagery layer of land cover at 10 meter resolution. I'm interested in pulling stats from it based on county boundaries. I tried using the Tabulate Area command and it ...
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How to load Esri 10m land cover data in QGIS

Esri just released a global 10m land cover file. It is being served as an image server here https://tiledimageservices.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Esri_2020_Land_Cover_V2/...
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Exporting a stack image from Google Earth Engine to drive results in a very small file

I am trying to export a stacked land cover type image (24 bands) from the MCD12Q1 product (MODIS Yearly Land Cover Type) clipped to my Area of Interest (Rwanda). I am using the following code: // ...
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Is there a land cover type image collection on Google Earth Engine that covers the period 2000-2020?

I am conducting an analysis that requires a land cover type time series for the period 2000-2020. The only land cover type time series that I could find covering this period is the one being produced ...
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Why is ArcMap failing to add latitude and longitude to point shapefile and messing up other fields?

I have a large shapefile with 92 million points which I had converted from the pixels of a Brazil land cover map. I want to add latitude and longitude fields to the shapefile, and I did so using the ...
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Errors generating an NDVI Timeseries for masked land cover classes using the Copernicus landcover 2019 Global product in Google Earth Engine

I have masked my landcover classes but I am unable to generate an ndvi time-series for these masked landcover classes. I am using the Copernicus 2019 land cover product and would like to start with ...
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Masking out Copernicus 2019 100m global land cover classes and for an NDVI time-series analysis in Google Earth Engine

I am quite new to Google Earth Engine and Java scripting. I am delineating land cover data for an administrative area in Kenya (Samburu county) from the Copernicus Global Landcover 100m product. I've ...
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Working with just one band to get a new map

I need to create a new image using a dataset that have just one band ranging from 0 to 30. The new image that I need must have just 2 pixels value (0, 1) with 0 being deforested between 2010 - 2020 ...
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Change Detection Chart from lists in Google Earth Engine

I want to create a chart from classes area (square kilometers) that I calculated from the land cover supervised classification process. These classes area are in form of lists (these are printed in ...
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2 votes
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Map tiles below -80 degrees appear inverted in UTM projection

I have a set of global land cover tiles at 30m per pixel resolution (GlobeLand30 or GLC30). They are TIF files in UTM projection, however I need to do some work using Geographic projection. Here is ...
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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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Land Cover Classification Sentinel-2 deep learning model

I want to create a land cover using the model in the link (https://www.arcgis.com/home/item.html?id=afd124844ba84da69c2c533d4af10a58). For this you need to mosaic Sentinel-2 images using the tool in ...
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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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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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Calculate raster landcover area in multiple overlapping buffers

I have 900 1km buffers (polygons) in one layer and a raster layer for forest area (reclassified into forest 1, non forest 0). I have tried: Tabulate area - but realised this does not work for ...
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Counting number of pixels in each tile in Earth Engine

I have 0.02° tiles across some regions of interest in Africa. I am trying to find the percent of 300m ESA land cover pixels that are classified as cropland (classification 10-30) for each tile, as ...
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LULC changes in Google Earth Engine using Sentinel-2 data

I'm looking to classify land changes on river islands in the Congo River using Google Earth Engine with Sentinel-2 data. I need to obtain two cloud-free images for classification and then clip my ...
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How to work with raster cell sizes when using Focal Statistics?

I'm trying to calculate the percent area of a certain land cover type within a 5000m window but my results aren't as expected. I've never used focal statistics before but I'm almost certain the ...
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QGIS: Landover Analysis Dialog Box Too Small

When I open the Landcover Analysis plugin within QGIS, the information in the dialog box is overlapping and doesn't fit the window. Even if I increase the size of the dialog box. It makes it pretty ...
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Understanding land cover RGB values in greyscale GeoTIFF

I apologise if I'm not using the right terms but I'm not a GIS expert. This page has some GeoTIFFs (at least, I'm pretty sure they're GeoTIFFs) which I'd like to analyse and I have downloaded the ...
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1 vote
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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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