Rasterio Mask Raster With Shapefile



Raster Data Model • Each grid cell in a raster data layer is one unit (the minimum amount of information in the raster data model) • Every cell has a value, even if it is a special value to indicate that there is “no data” or that data is “missing” at that location • The values are numbers, either: – absolute values OR. First we define our polygon of the region of interest (RoI):. The McClenan technique uti- lizes a monogram which was constructed fromthe SPM equations and gives the same results. Raster Masking¶ From 2. rasterize fill the values outside the. Interpolation – Rasterisation 6 4. Is there a way to clip a raster to the exact outline of a shapefile? Hi. The Extract by Mask tool is similar to setting the Mask environment, except that the input mask is only used on the immediate instance, while a mask set in the environment is applied to all tools until it is changed or disabled. Production of raster volumes 8 5. Name the two masks appropriately so the a]. This is a commonly used format that can be directly used in Arc-anything, DIVA-GIS, and many other programs. •ArcGIS Runtime supports direct read of many raster formats •Raster renderers applied by the API-Blend, Colormap, Hillshade, RGB, and Stretch •Apply functions on the fly-Subset of Image Server raster functions -Mask, Clip, Pansharpen, Raster Calculator… •Mosaic Datasets-Store, manage, view, and query collections of raster data as a. Its functions typically accept and return Numpy ndarrays. Experiment Set¶. ORIGINAL DATA THEMES POLYGON. Recall the qgis lesson 1 tutorial. In order to get exactly the raster cell you want for your. mask Use values from first Raster except where cells of the mask Raster are NA cut Reclassify values using ranges subs Reclassify values using an ’is-becomes’ matrix reclassify Reclassify using a ’from-to-becomes’ matrix init Initialize cells with new values stackApply Computations on groups of layers in Raster* object. If this occurs, open the Layer Properties dialog box of the extracted raster > Symbology tab. We can use a polygon from a vector layer to crop the raster to the exact shape. N-dimensional array created by stacking the raster files provided. Point extraction from shapefiles for 3D point production 10 3. mask(img, features, crop=True) This is not working as the input for mask (img) is not a rasterio object but an array. Let's look at some use cases. x using Spatial Analyst. Check the box to Change Missing Values to NoData. Go to Layer ‣ Add Vector Layer. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. Extracts the cells of a raster that correspond to the areas defined by a mask. shp (Various Files) - A shapefile containing the metadata for the ned_91749882 raster layer, as well a a rectangular polygon that is the footprint of the layer. This allows me to either completely, or partially, mask the base map outside my area of interest, so the user can concentrate fully on the features you have mapped within…. It's a new open source project from the satellite team at Mapbox. Logical indicating whether to simply add raster to an existing plot Further arguments to the rasterImage function. First we define our polygon of the region of interest (RoI):. 0000 as the Assign a specified nodata value to output bands. rasterize does, but loops over the features within GDAL instead. Once your suitability raster is ready, your final step is to interpret your results by identifying the 10 most suitable sites, ranked by most contiguous area. The input raster or feature mask : The polygon that you have created or maybe another raster (that you have already) The output raster : the folder in wich you will save your new raster, and the name of your new raster. rasters are grids. Input layer [raster] Input raster layer. csv file, or an ESRI Shapefile. This is useful if you need to manage your storage space and also if you need to edit files that are otherwise read only. Clipping the raster can be done easily with the mask function that we imported in the beginning from rasterio, and specifying clip=True. Unzip it using WinZIP or Windows XP programs. In all three masks, a value of 0 marks a cell that does not fall within the bounds of valid input data. to) using transform=TRUE. Raster Mosaicing and Clipping Selecting a single feature from a vector layer and saving it to a new shapefile. Now we are ready to clip the raster with the polygon using the coords variable that we just created. ","PlotsZonal",driver="ESRI Shapefile") # write shapefile containing average band and vegetation index values to disk plots. Create and output alpha band [boolean] Creates an alpha band for the result. Looking at what you have below it appears that you have a tif file " lai2011361. It is rectangular by definition. This allows me to either completely, or partially, mask the base map outside my area of interest, so the user can concentrate fully on the features you have mapped within…. That is exactly what you want to do in the case of this competition, so pay careful attention here. transform, out_shape=src. Reading and writing shapefiles¶. Geographic information systems use GeoTIFF and other formats to organize and store gridded raster datasets such as satellite imagery and terrain models. " Note the default cell size. The output raster can only have three bands. For convert to this coordinate system you use gdalwarp. fillnodata (image, mask=None, max_search_distance=100. py - clip a geospatial image using a shapefile import operator from osgeo import gdal, gdalnumeric, ogr, osr import Image, ImageDraw # Raster image to clip raster = "SatImage. This should work with any file that rasterio can open (most often: geoTIFF). rasterize fill the values outside the. Select an input file and click OK. The raster files register precisely with the 10m vector data. This is useful if you need to manage your storage space and also if you need to edit files that are otherwise read only. Illustration OutRas = ExtractByMask(InRas1, InRas2) Usage. Drought Monitoring. In this tutorial, we have covered how to construct a query and retrieve on information from available images as well as how to download Sentinel 2 images within Jupyter notebooks. The ExportROIs method will output the pixel locations for a given ENVIROI with an ENVIDeepLearningLabelRaster to an ENVI Classic. An experiment set is a set of related experiments and can be created by subclassing ExperimentSet. Tuesday, March 3, 2015Institute of Geology, University of the Punjab 2 To adjust the symbology Giving information about the raster and its properties. Thread-topic: regarding ocean basin mask / create mask from GIS shapefiles with gdal_rasterize Re, I would like to add that the University of Washington eScience Institute. Sajid Rashid Ahmad [email protected] Weekly Hazards for USAID/FEWS; In the report dated March 29 – April 4, 2018, moisture deficits shown for regions of southern Africa and Madagascar are inferred from regularly updated land surface models. There are many ways to clip out a part of an image or raster in ArcGIS. In the Output file window select output folder and enter file name (suggest Runoff_Clipped-Dec2015). Please forgive what I suspect is an incredibly basic question- my remote sensing and image processing skills are entirely self taught thus far- that being said- I'm working with Landsat TM data and attempting to use ESRI shapefiles to clip a study area from the Landsat TIF images in ArcMap. Hi guys, i am very new in python and i have problem with what i want to do. using 'mask' versus 'crop' in raster. raster_dtype (numpy. Rasterio and Cartopy. Creating a country raster mask using GDAL. The Build Raster Mask tool has other options to help you build masks, including from finite values, from NaN values, from ROI files, and from ENVI vector files (EVFs). It is demonstrated using the. rasterio profile object. x using Spatial Analyst. Create tessellated hexagons of a region. Rasterio reads and writes these formats and provides a Python API based on N-D arrays. I want to mask out the the land to black or null in Python using GDAL/OGR. Nodata value, leave as none to take the nodata value from input [string] Defines a value for the no-data areas of the input raster. If the analysis mask is a raster, all cells that have a value will be considered to define the mask. path (str or pathlib. Masking a raster. array(rasterpoly) #converts it to numpy array function which cuts the original raster image to the shape of the shapefile, leaving nodata points elsewhere. Clipping the raster can be done easily with the mask function that we imported in the beginning from rasterio, and specifying clip=True. The new shapefile can now be used to clip the reclassified raster to only include the area which will be part of the potential reservoir. 1 branch I have created a new branch for maintenance of version 1. The result of using the Extract by Mask tool is similar to that of setting the Mask environment, except that the input mask is only used on the immediate instance, while a mask set in the environment is applied to all tools until it is changed or. geometry import box import geopandas as gpd from fiona. When a multiband raster is specified as input, a new multiband raster will be created as output. raster related issues & queries in GisXchanger. from rasterio. Note: In some cases, the extracted raster does not display properly because of the Stretch function applied to the raster. GDAL is a powerful and mature library for reading, writing and warping raster datasets, written in C++ with bindings to other languages. Nodata value, leave as none to take the nodata value from input [string] Defines a value for the no-data areas of the input raster. Raster grids in ArcGIS need to use integer or floating-point values for the "Value" attribute in the raster attribute table. Another key skill is being able to clip out portions of raster grids, such as a DEM, or perhaps a TIF image. With rasterio, viewing a raster can be done with just a few lines of code, like the example below. crop returns a geographic subset of an object as specified by an Extent object (or object from which an extent object can be extracted/created). Import into GRASS and export of VTK vector data 9 2. Posts about raster written by Alena. The end result is the ability to query raster datasets using irregular shapes and only download the data you actually need. Within the still open "Extract by Mask" tool, set the input raster to surf_elev, set the mask to 5M coast polygon and specify a name for the Output raster that is 13 characters or less with no spaces or special characters (e. If the mask input is a feature, it will be converted to a raster internally, using the cell size and cell alignment from the Input raster. Let's say we use the ubiquitous world shapefile. GitHub Gist: instantly share code, notes, and snippets. Cells in a mask raster that are NoData will be considered to be outside the mask and will be NoData in the output. You may also use QGIS to create basic raster from the available vector data, applicable to both satellite texture and the surface mask (you only have to change drawing styles for objects). • Unclick simplify polygons. It is useful in the middle of a script, to recover the resources held by accessing the dataset, remove file locks, etc. Illustration OutRas = ExtractByMask(InRas1, InRas2) Usage. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. Rasterio example. features import rasterize mask = rasterize([poly], transform=src. To clip a raster using a vector layer, you will first need to convert the vector layer to raster, assigning a value of 0 to all cells outside of your area of interest (AOI) and a value of 1 to all cells inside your AOI, this is called a mask. py - Apply mask from one raster to another; filter. COASTAL depths area masks are easy to distinguish from one another. 1? rasters with same polygon shapefile/ raster in my ArcGIS 10 : the area of your interest you can use the extract by mask. raster_dtype (numpy. Rasterio employs GDAL under the hood for file I/O and raster formatting. Clipping the raster can be done easily with the mask function that we imported in the beginning from rasterio, and specifying clip=True. mask(img, features, crop=True) This is not working as the input for mask (img) is not a rasterio object but an array. Two versions of the 10 million-scale raster data are offered: high resolution files at 21,600 x 10,800 pixels and low resolution at 16,200 x 8,100. Now we are ready to clip the raster with the polygon using the coords variable that we just created. Sample raster or feature values to hexagons. py - Remove rows/cols containing only NoData from raster margins; replace_ndv. How to convert data between ArcGIS format and IDRISI format? ArcGIS grid files and shapefiles into IDRISI raster and vector file formats. features from rasterio import mask import pandas as pd import geopandas import numpy as np import matplotlib. Illustration OutRas = ExtractByMask(InRas1, InRas2) Usage. Details about the target coordinate system are. then you can go to the Cropping tab of the Options dialog for the raster layer and select for it to be cropped to that new area. tif -mask 255,0,0 -reverse in. mask import mask from. Empirical Guidelines for Use of Irregular Wave Model to Estimate Nearshore Wave Height. gdal -clip mask. Optional: If shp is not in the same projection as the mask. If the output raster was in an other projection, the shapefile coordinates should be appended to the path using the output projection (m(pts[j][0], pts[j][1])). In Arc I would do this using "extract by mask" and have had. rasterio: High level handling of geospatial raster data: GIS Shapefile support library: Reading border and coastline shapefiles: appdirs:. The NOAA Climate Prediction Center provides forecasts to assist USAIDs food security programs. If the analysis mask is a raster, all cells of interest have a value, and all other cells have a value of NoData. Import into GRASS and export of VTK vector data 9 2. GitHub Gist: instantly share code, notes, and snippets. the new raster “kern_torn” has to be masked using the “states” shapefile as the mask. Go to the I:\stu. ) in the user name. COMMON GIS TECHNIQUES FOR VECTOR AND RASTER raster to point shapefile each convert buffers to raster use the cell ID mask. How to convert data between ArcGIS format and IDRISI format? ArcGIS grid files and shapefiles into IDRISI raster and vector file formats. In R such analyses can be based on either shapefiles or raster objects. Working with Vector and Raster Data in Python A GIS file type is a standard of encoding geographical information into a file. Only cells with values will be considered in the analysis. Fractional Cover: Trend and Variability Analysis¶. As before, choose High compression as the Profile. This algorithm will interpolate values for all designated nodata pixels (marked by zeros in mask). Automatic find your mask. The RDO model is used to access, analyze, manage, convert, and visualize raster data. Rasterio reads and writes geospatial raster data. Second step is to create the mask from the slope raster. read(1) means read the first band …. Cropping / cutting raster image. Lesson: Raster to Vector Conversion¶. It can be imported to most other GIS programs. Raster Mosaicing and Clipping Selecting a single feature from a vector layer and saving it to a new shapefile. Parameters-----raster: 2/3D array-like data source, required Currently supports paths to rasterio-supported rasters and numpy arrays with Affine transforms. Rasterio is Python software, not GIS software. pyplot as plt from datacube. Single Band Images Rasterio is a popular open source Python library used for viewing and manipulating rasters. i want to mask the image by these shapefiles. My objective is now to use rasterio to mask a raster using the shapefile I have loaded before with the following code: img, out_transform = rasterio. Masking a raster using a shapefile¶ Using rasterio with fiona, it is simple to open a shapefile, read geometries, and mask out regions of a raster that are outside the polygons defined in the shapefile. crs import from_epsg import json. Those masks can be internal or external (in which case the mask files should use the. As the wording suggests, this is a method of “nesting” different processes inputs/outputs in order to get a chain of operations composing a unique more complex Process. Hi guys, i am very new in python and i have problem with what i want to do. “Clip” a GRID using a Polygon Shapefile These instructions enable you to “clip” a grid layer in ArcMap 8. 1? rasters with same polygon shapefile/ raster in my ArcGIS 10 : the area of your interest you can use the extract by mask. See below for details and images: The original raster and polygon shapefile watershed boundary that I want to clip it to. Tuesday, March 3, 2015Institute of Geology, University of the Punjab 2 To adjust the symbology Giving information about the raster and its properties. txt") # Name the file that will contain vegetation index and band values. Natural Earth features 9 types of raster files at 1:50 million-scale to suit your bandwidth and content focus. Creating a Subset Shapefile from an Existing Shapefile This tip sheet covers how to create a smaller subset data set from a larger data set in ArcGIS. For convert to this coordinate system you use gdalwarp. Creating a mask layer: How to create a mask in ArcMap for use in Maxent It is often desirable to use a mask layer with Maxent so that the analysis is limited only to your area of interest. Masking a raster using a shapefile. Mask files are raster (best. is the outside of the clipping polygons). Rasterio is Python software, not GIS software. These shapefiles allowed the team to utilize similar methods that the NPS uses to analyze vegetation data for other projects ongoing in the same area. or extract by mask) gaps appear between the study area boundary and the new clipped raster. If you don't know what I'm talking about: Standard Landsat 8 data products provided by the USGS EROS Center consist of quantized and calibrated scaled Digital Numbers (DN) representing multispectral image data acquired by both the Operational Land Imager (OLI) and Thermal Infrared. Select an input file and click OK. Please try again later. This doesn't load the vector data into a GeoDataFrame and loops over the individual shapely geometries like rasterio. This is a known issue with ArcGIS 8. Raster datasets are organized into bands. Geographic information systems use GeoTIFF and other formats to organize and store gridded, or raster, datasets. x using Spatial Analyst. Mask layer [vector: polygon] Defines the vector mask for clipping the raster. examples/warp radar. However, I need the output in the exact same geometry of the shapefile. csv file, or an ESRI Shapefile. Working with the Raster Calculator The Raster Calculator provides you a powerful tool for performing multiple tasks. mask Use values from first Raster except where cells of the mask Raster are NA cut Reclassify values using ranges subs Reclassify values using an ’is-becomes’ matrix reclassify Reclassify using a ’from-to-becomes’ matrix init Initialize cells with new values stackApply Computations on groups of layers in Raster* object. rasterio profile object. ndarray' object has no attribute 'nodata'. This is a commonly used format that can be directly used in Arc-anything, DIVA-GIS, and many other programs. of your home and you have downloaded a shapefile from a website that shows. Specifically, on the 5th day (dont skip there though) they teach you how to mask a raster using rasterio. Select an input file and click OK. Este mapa representará la ubicación geográfica de estaciones meteorológicas de precipitación, así como tambien la temperatura promedio para el departamento del Valle del Cauca. It is useful in the middle of a script, to recover the resources held by accessing the dataset, remove file locks, etc. Grouped layers can be moved up or down, but their attributes cannot. Create a hillshade by selecting dem in the table of contents and clicking Raster > Analysis > Hillshade. The example creates a 255x255 raster with integer values: driver = gdal. Name the two masks appropriately so the a]. About converting between raster and features. It is very common that we are just interested in an specific region within a raster given by the a polygon (list of coordinates). 0 r2 Fixed export with wet-dry masks GEOTIFF command makes DDS using DXT5. tif -mask 255,0,0 in. An experiment set is a set of related experiments and can be created by subclassing ExperimentSet. Only one raster image at a time can be clipped. py - Clip and mask an input raster using a polygon shapefile; apply_mask. Clipping/Masking of raster files 5 3. The value of the background raster should be set to a constant value that will represent the absence of the data in the shapefile (I typically use zero). All raster data is essentially a raster dataset, whereas the mosaic dataset and raster catalog are storage mechanisms that allow you to store and manage collections of raster data. I'm going to use as an example, the problem of turning a raster dataset in some projection into a set of web mercator (a different projection) tiles of many zoom levels. read(1) means read the first band …. I read in the doc that when using `rasterio. The ArcObjects components for the ArcGIS Spatial Analyst extension provide an easy to customize environment with a rich set of developer tools allowing model development. raster, set the current projection (proj. In the Input File (raster) window select layer Runoff_resampled_Dec2015 24. 2012 um 20:51 schrieb "Thiago Veloso" <[hidden email]>: > Dear all, > > When cropping a raster using a shapefile, through 'crop' function from "raster" package, only the extent is taken into account:. I've found the method given in the rasterio cookbook to be quick and easy. fillnodata (image, mask=None, max_search_distance=100. Recall the qgis lesson 1 tutorial. using band 3 as the false raster and saving the layer. Shapefile Spatial Coverage Maps (a-e) and GeoTIFF raster map (f). Rasterio employs GDAL under the hood for file I/O and raster formatting. same extent and resolution). GIS at Pace Peggy Minnis, Ph. You will see the. Method 3: Extract Values Using a Shapefile. Create tessellated hexagons of a region. shoyer / xray dataset shapefile mask. In order to get exactly the raster cell you want for your. Welcome to the Python GDAL/OGR Cookbook!¶ This cookbook has simple code snippets on how to use the Python GDAL/OGR API. I read in the doc that when using `rasterio. Display a polygonized raster in a Django Webapp (1/2): Polygonize a raster and save polygons to the database we will see how to polygonize a raster image using rasterio to turn it into a. Use Case 1. rasters are grids. The RDO model is used to access, analyze, manage, convert, and visualize raster data. Import into GRASS and export of VTK vector data 9 2. Automatic find your mask. It can be a raster or a feature class dataset. Raster to designate a location to save the layer being created. raster, set the current projection (proj. Masking a raster means removing some of its data (i. by mask in IDRIS as. Lines to Polygon to Raster in R & QGIS I want to provide details the process of converting a line shapefile to a polygon using both R and QGIS. Weekly Hazards for USAID/FEWS; In the report dated March 29 – April 4, 2018, moisture deficits shown for regions of southern Africa and Madagascar are inferred from regularly updated land surface models. If a feature class is used as input for the mask, it will be converted internally to a. To clip a raster using a vector layer, you will first need to convert the vector layer to raster, assigning a value of 0 to all cells outside of your area of interest (AOI) and a value of 1 to all cells inside your AOI, this is called a mask. So we could chain them together to do further and further extractions instead. It is very common that we are just interested in an specific region within a raster given by the a polygon (list of coordinates). Open a file with rasterio (experimental). Rasterio aims to make GIS data more accessible to Python programmers and helps GIS analysts learn important Python standards. The coordinate system of the source raster can be detected by gdal, so you use the flag -t_srs to assign the target coordinate system. Need a rule to ensure consistency but don't know how to go about it. The resulting masked raster was now only showing density results within the boundaries of the state, whose symbology was then changed (figure 6). In that lesson, you used qgis to plot volcanoe data that was stored as shapefiles In the next cell we use fiona to read that shapefile and print out the data on the first three volcanoes. Mask files are raster (best. GeoServer WPS implements also the Process Chaining. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. Tools such as Reclassify and Con can help create a raster analysis mask. Mask function. gridspec as gridspec import matplotlib. using 'mask' versus 'crop' in raster. Multiprocessing can be very effective in processing raster data. All raster data is essentially a raster dataset, whereas the mosaic dataset and raster catalog are storage mechanisms that allow you to store and manage collections of raster data. It completes, but the layer is entirely nan. The details of the process are described in the Terrain Processor: Print Composer Tutorial. tif " that has an extent larger than brazil. This is fixed in ArcGIS 8. mask(img, features, crop=True) This is not working as the input for mask (img) is not a rasterio object but an array. Weekly Hazards for USAID/FEWS; In the report dated March 29 – April 4, 2018, moisture deficits shown for regions of southern Africa and Madagascar are inferred from regularly updated land surface models. Extract values from single raster at point locations. setting it to NA) based on a logical condition. I'm fairly new in using the gdal librairies and I've tried the following without luck:. storage import masking from. zip file and click Open. mask import mask from. If the analysis mask is a raster, all cells that have a value will be considered to define the mask. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. Rasterio aims to make GIS data more accessible to Python programmers and helps GIS analysts learn important Python standards. In Arc I would do this using "extract by mask" and have had some luck using "mask" in the raster package. ENTIRE and the b]. Converting between raster and vector formats allows you to make use of both raster and vector data when solving a GIS problem, as well as using the various analysis methods unique to these two forms of geographic data. The Create New Shapefile dialog box opens. The RDO model is used to access, analyze, manage, convert, and visualize raster data. GitHub Gist: instantly share code, notes, and snippets. I am able to consistently use "crop" to limit the extent of the raster data, but I cannot consistently use "mask. COMMON GIS TECHNIQUES FOR VECTOR AND RASTER raster to point shapefile each convert buffers to raster use the cell ID mask. We will keep the maint-1. features from rasterio import mask import pandas as pd import geopandas import numpy as np import matplotlib. Hi guys, i am very new in python and i have problem with what i want to do. There are three ways to store raster data in ArcGIS: as a raster dataset, within a mosaic dataset, or within a raster catalog. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. import datacube import datetime import fiona import geopandas as gpd import numpy as np import rasterio. In this lesson, you will learn how to crop a raster dataset in Python. To clip a raster using a vector layer, you will first need to convert the vector layer to raster, assigning a value of 0 to all cells outside of your area of interest (AOI) and a value of 1 to all cells inside your AOI, this is called a mask. ","PlotsZonal",driver="ESRI Shapefile") # write shapefile containing average band and vegetation index values to disk plots. To clip the reclassified raster by the new shapefile the Extract by Mask Tool located in ArcToolbox under Spatial Analyst Tools>Extraction>Extract by Mask was used, and can be seen in Figure 14. raster related issues & queries in GisXchanger. Creating a Mask and Clipping. For each pixel a four direction conic search is done to find values to interpolate from (using inverse distance weighting). None if crop is False. Background. En el software R, permite recortar un raster teniendo en cuenta coordenadas especificas de la zona que deseamos extraer o también permite hacer un recorte partiendo de un shapefile. L) Switch to the Extent tab and specify Analysis Extent = Shapefile. Mask function. fillnodata (image, mask=None, max_search_distance=100. (This is largely true for. 2012 um 20:51 schrieb "Thiago Veloso" <[hidden email]>: > Dear all, > > When cropping a raster using a shapefile, through 'crop' function from "raster" package, only the extent is taken into account:. DTIC Science & Technology. NOTE: If you are done with your mask, make sure you clear the Mask box, otherwise, every future raster will be processed with that mask on. See the note at the end of this walkthrough if you are eventually interested in overlaying shapefiles with your terrain. This layer being created is using the IR band to mask out all values from the IR band that are considered land by the threshold value on the blue band. Production of raster volumes 8 5. Extracting by Mask - Clipping a Grid File. 1? rasters with same polygon shapefile/ raster in my ArcGIS 10 : the area of your interest you can use the extract by mask. While processing some data at work today I had an issue where I had a raster dataset in ArcGIS, where all cells with invalid data had been set to 9999. Create( '', 255, 255, 1, gdal. Interpolation - Rasterisation 6 4. It is very common that we are just interested in an specific region within a raster given by the a polygon (list of coordinates). # RasterClipper. Another Raster operation you can do is to subset or crop an image.