Questions tagged [land-use]
Land use is the human use of land including built environments such as fields, types of houses and settlements. It is different from [land-cover].
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Legend in meta data for land cover / land use codes (e.g. Corine Land Cover) (python)
I am working with Corine Land Cover Data.
Is a legend stored in the meta data or somewhere else which shows the meaning and the official colorcodes of the different land uses?
The product user manual ...
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How to plot single land use / land cover classes on a map in python
I want to analyze Corine Land Cover data. It is raster data in a .tif file. Currently, I am using rasterio to handle the raster data.
Question: How can I plot only a single land use on a map? My goal ...
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How can I extract colours from a palette band to create seperate layers?
I downloaded land use maps of Australia as TIFF files. Since the country is very large (and the map is very detailed), I had to download multiple files that align together. I want to make separate ...
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Affect on classification for two different Sentinel images taken at the same time with slightly different color values
I am running a supervised land-use land-change classification across multiple Sentinel images. These images were taken at the same time of different but overlapping areas. However, despite being taken ...
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Exporting Large Classification Image on GEE
I am new to GEE. I am trying to export a large land cover classification map on GEE, derived using Landsat 5 data through random forest classification. The classified map has 7 classes represented ...
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Modify 500m MODIS landuse data based on 30m Landsat 8 data
I am using WRF real case to study urban breeze. I used MODIS 15s 500m resolution data for landuse. There are 378x378 grids. This data underestimates the urban area in my study area. I made a ...
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Calculating percentage of landuse type within buffer using Python [closed]
I have two polygon shapefiles: buffers and landuse types. I want to calculate the percentage of each landuse type within the respective buffer. The problem is that the landuse type polygons are bigger ...
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How do I define landuse & postalcode for massive data?
I have a PostgreSQL table named points where I store nearly 5.6 million rows of my ping data from a ride-hailing service for AI research purposes. Some of its fields are latitude, longitude, landuse, ...
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Categorical land use raster to continuous values raster in R
I would like to transform categorical land use rasters from ESA CCI (http://maps.elie.ucl.ac.be/CCI/viewer/download.php) to rasters with continuous values. The crs is lon/lat WGS 84 and I would like ...
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Transforming categorical land use raster to raster with continuous values
I would like to transform categorical land use rasters from ESA CCI (http://maps.elie.ucl.ac.be/CCI/viewer/download.php) to rasters with continuous values (% of cover of each land use class in each ...
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Using existing GeoTIFF as training points for random forest classifier (Landsat 7)
I am new to R and GEE. I am trying to establish a link, using time series analysis, between land use change (different classes) and evapotranspiration (if possible also temperature, precipitation and ...
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Change detection for raster layers
I'm working with multiple raster layers representing LULC data, Corine maps, from various years. My goal is to identify the pixels that have undergone change and determine the specific transitions ...
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Exclude areas with building from a map
In ArcMap, I'm trying to create a site suitability map for a solar farm but I have issues with the building footprint file. I'd like to exclude areas with buildings but I have no idea how to go about ...
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Combine and reduce land cover and MODIS collections with different IDs
I need to add the information from Land cover Image Collection (2015-2019) to MODIS Image collection. In practice should be merged fuve land cover images with MODIS images for the whole five year long ...
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Visualize mean NDVI for the past 4 years Jan to Dec to distinguish cropland in GEE [closed]
My goal is to perform supervised classification in a large area using Landsat 8 images. Since the area has a lot of vegetation, it is challenging to accurately distinguish agricultural areas. To make ...
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