Software Packages in "xenial", Subsection python agtl (0. By voting up you can indicate which examples are most useful and appropriate. For example, we can evaluate the impact on a specific article or an opinion not only by numeric data but also visualized map with the similarity-distance. 2-3ubuntu1) lightweight database migration tool for SQLAlchemy. I am trying to understand whether discrete Fourier transform gives the same representation of a curve as a regression using Fourier basis. The recommended way to store xarray data structures is netCDF, which is a binary file format for self-described datasets that originated in the geosciences. Options are NearestNeighbor, Bilinear, Cubic, CubicSpline, Lanczos defaulting to NearestNeighbor. I am currently working on a application which requires an inverse Fourier transform (IFFT) and am using a function library provided by Texas Instruments, in the datasheet they give an example on how to use one of their IFFT functions (shown below). Read the documentation for more details: https://rasterio. 0; win-64 v2. We obtained the value 441 by applying valid_range attribute information using the GDAL's Virtual Raster Format (VRT). import rasterio from rasterio. mask Example Model 20190201. I can reproduce your issue with rasterio 1. shape, transform = like. Propagators, Green’s functions, path integrals and transition amplitudes in quantum mechanics and quantum field theory Ask Question Asked 5 years, 1 month ago. png' in the link. examples/rasterio_mask. Here are the examples of the python api numpy. 2 ArcGIS SDKs for C++ and VC++. Parameters. Rasterio strives to use modern Python language features and idioms. # Assert that the destination is only partly filled. By voting up you can indicate which examples are most useful and appropriate. For example, ogrinfo --config CPL_DEBUG ON ~/data/test/point. with rasterio. You can vote up the examples you like or vote down the ones you don't like. GeoJSON encoding/decoding. This tool does allow filling and interpolating across voids (cells for which there are no samples), but if there are too many, using the terrain dataset may produce better results. 新版这个问题已经解决了,试试 Sample osgearth_toc osgearth 中如何进行实时的纹理切换 有两种地球的金字塔纹理, 想在程序运行后通过输入控制不同的纹理进行显示。 需要怎么做, 请高手指点一下?. In such cases one way to produce geo-referenced tiff file from numpy array is by using rasterio python package. GitHub Gist: instantly share code, notes, and snippets. plot import show import matplotlib. Time to use python’s Rasterio library since satellite images are grids of pixel-values and can be interpreted as multidimensional arrays. It's similar to line_profiler , which I've written about before. The idea is to get fixed size outputs where only the pixels from the input raster that fall within the fixed size area is taken. x works with Python versions 2. These new coordinates might be handy for plotting and indexing, but it should be kept in mind that a grid which is regular in projection coordinates will likely be irregular in lon/lat. lookup_transform: Reprojects an other Dataset or DataArray onto self using the forward tranform lookup. The data type must be supported by the driver of this dataset. DatasetAccessor. Here there is a similar example using Landsat 8 images which can be downloaded directly with rasterio. Migrated unittest test cases in test_collection. flv -> mp3, but I don't know the command line parameters for mp4->mp3. This allows the raster to represent what you want—for example, you can set a transformation or a pixel filter on a raster, specify a projection or extent, and set other properties without changing the raster dataset. Today’s de-facto global standard is a Spherical Mercator projection because it preserves shape and angles. A dictionary containing updated metadata for the cropped raster, including extent (shape elements) and transform properties. plot as rplt from rasterio. There is no specific filter for PTY available ATM. py performance-wise is icing on the cake. The Project Raster tool transforms x-, This is a Python sample for the. Time to use python’s Rasterio library since satellite images are grids of pixel-values and can be interpreted as multidimensional arrays. The function needs the Rasterio profile of the image and a single layer of a numpy array, which can be specified with arr_str[0]. Skip to content. I put it in a notebook here. csv in priority over pcs. csv to read projection name, UOM, UOMAngle, GeogCS, etc. lookup_transform: Reprojects an other Dataset or DataArray onto self using the forward tranform lookup. The library uses GeoTIFF images along with other formats and is capable to work with satellite images, digital elevation models, and drone generated imagery. The symbolism actually comes almost entirely from Brigham Young's fascination with one simple verse in the Book of Mormon. In this example, I am converting to WGS84, the geographic coordinate system favoured in GPSs and used by all the popular web mapping sites. For example, there will be images of several screws from various angles imported from a database. pyplot as plt from shapely. These new coordinates might be handy for plotting and indexing, but it should be kept in mind that a grid which is regular in projection coordinates will likely be irregular in lon/lat. ETL Transform. 0; To install this package with conda run one of the following: conda install -c conda-forge pyproj. Geographic information systems use GeoTIFF and other formats to organize and store gridded, or raster, datasets. Rasterio is a GDAL and NumPy-based Python library for raster data, written with the Python developer in mind instead of C, using Python language types, protocols, and idioms. Internally, we now use the rasterio coordinate transform tool instead of doing the computations ourselves. DatasetAccessor. That part is successful. It won't work. For example, the SRTM data provide a digital elevation model of the Earth. Rasterio used to include an example for plotting a rasterio ras. py to the use of the standard data_dir and path_coutwildrnp_shp fixtures (#616). This example describes a 32K-point fast Fourier transform (FFT) using the Altera ® FFT IP MegaCore ®. transform because the transformation is vectorized. fill_value of your masked array is used as src_nodata (see these lines). sio import read_shapefile shape = read_shapefile (shape) inplace = True # corner grid is needed for rasterio shape = transform_geopandas (shape, to_crs = self. Automated Bulk Downloads of Landsat-8 Data Products in Python Fast and Reliable Top of Atmosphere (TOA) calculations of Landsat-8 data in Python Multispectral and hyperspectral satellites are amazing (I'm a huge fan). Rasterio reads and writes these formats and provides a Python API based on N-D arrays. 14-5) examples for Pyro pyro-gui (1:3. Reprojecting a GeoTIFF dataset. Created Jun 29, 2018. I am trying to position the two rasters below: geotif 1; geotif 2; So they will be aligned in the same coordinate system. Is there some examples of how convert a Geo-referenced PNG file to a GeoTiff file by using GDAL commands? It was possible in Arcmap but I need it to be as a command line, so that I be able to call. Preparing Geographi Information System (GIS) for Region-based Convolutional Neural Network (R-CNN) Family What is GIS. Fast and direct raster I/O for use with Numpy and SciPy Latest release 1. 在rasterio中提供了 calculate_default_transform ,可以直接计算目标系统中的放射变换参数和图像尺寸。 这样我们直接根据计算的结果更新目标文件的元信息即可。. GeoJSON inputs to rasterio-supported rasters and numpy arrays with Affine transforms. plot as rplt from rasterio. Python is an emerging language for the UKHO for data science, analytics and geospatial applications. Learn how to open up a multi-band raster layer or image stored in. VERTICAL — Applies the transformation specified in the geographic_transform parameter. features import rasterize mask = rasterize([poly], transform=src. Concepts and the Frequency Domain. If so, the interpreter prints her email address; otherwise it prints an empty string. Deprecated: Function create_function() is deprecated in /home/clients/f93a83433e1dd656523691215c9ec83c/web/6gtzm5k/vysv. Example - combining multiple satellite data files into a time-series¶ Take a large number of files, one from each orbit of a satellite, and put them into one large array with a time dimension. Also, rasterio could be a little more lazy about getting and formatting a file’s coordinate referencing system. Today, you will get a sneak peek at what GIS software packages the industry is using. GetNameRef(), inFeature. from_epsg(4326), safe=True) ¶. Note that when converting floating point data to integer RasterIO() rounds down, and when converting source values outside the legal range of the output the nearest legal value is used. Unit cube is no-brainer, but with torus for example, you want to specify inner and outer radius, possibly step in degrees for regulating number of triangles. We will demonstrate how to access and plot a tile given a known tile filename, as well as how to access tiles by lat/lon. 4; osx-64 v2. See this rasterio demo that shows how window is effectively interpreted in load_array. Using rasterio's projection information for more accurate plots. I am trying to recreate this rasterio example: import numpy as np import rasterio from rasterio. Introduction. loads functions. In 1948, Turing followed his interested in the brain, to create the first learning artificial neural network. Clipping rasters can be trivial with a desktop GIS like QGIS or with command line tools like GDAL. This example doesn’t read or write because I want to show how the new function doesn’t require I/O. For example,. "bionic" のサブセクション python に含まれるソフトウェアパッケージ 2to3 (3. set_nested() (in module imod. import fiona, rasterio import geopandas as gpd from rasterio. Salem will try to understand in which projection your Dataset or DataArray is defined. I decided to use a capacitor for isolation. This tutorial shows how to automate downloading and processing DEM files. Rasterizing a feature from rasterio. An often proposed option is to just "pin" the system to a fixed value in one point, which leads to a well-defined system. tif file or work with them in Python directly. If 0, no buffering is done. tif image used in the example below is from the rasterio test data, showing Andros Island, an archipelago in the Bahamas. GitHub Gist: instantly share code, notes, and snippets. GeoTIFF上のrasterioマスクで使用するためにファイルからGeoJSONをロードしようとしていますが、GeoJSONを正しくロードできないようです。. open() and read_band(), and the generated shapes can be written to a vector file on disk using fiona. Is there a way to sum N rasters of different shape using rasterio (the rasters have different bounding boxes, there can be an area that overlaps or they don't need to overlaps) The objective is to get the result of the operation and write it to the file, limiting the output raster to the area of "common bbox". filename: str, rasterio. tif files that are all in the same spatial extent, CRS and resolution and either export them together a single stacked. Rasterio reads and writes these formats and provides a Python API based on N-D arrays. The Raster Calculator tool can be used in ModelBuilder, but keep the following points in mind: The syntax of the expression determines how variables are to be specified. The three TCT main features – Brightness, Greenness, and Wetness – are SI but contain information on a wider portion of the electromagnetic spectrum, as more. We hope at the end of this workshop you can takeaway some useful methodologies to. 2), but now have issues with installing rasterio. This allows the raster to represent what you want—for example, you can set a transformation or a pixel filter on a raster, specify a projection or extent, and set other properties without changing the raster dataset. What I think might be valuable for newcomers in this field is some insight on how these libraries interact…. However, any phenomenon that differs from the indefinite existence of an object that moves in the same direction by the same speed forever requires a force to be explained. py performance-wise is icing on the cake. I tried installing a fresh environment w/ python 3. The GDAL CSharp interface supports transferring the raster data between the C# application and the GDAL library. The following are code examples for showing how to use rasterio. I used the Python library Rasterio to reproject GeoTIF images from one coordinate system to the other. depth package example of dep chain 577 2 cargo ['cargo', 'thunderbird', 'thunderbird'] State : BD-Uninstallable. VERTICAL — Applies the transformation specified in the geographic_transform parameter. The FFT is a discrete Fourier transform (DFT) algorithm which reduces the number of computation needed from O(N 2) to O(NlogN) by decomposition. To prove that a Lipschitz function maps compact sets into compact sets it is enough to notice that $(1)$ implies continuity. It won't work. Loading the modules. There are some known issues with pyFFTW on OS X. utils import division import sys from rasterio import features from shapely. import rasterio, rasterio. If you have not downloaded the DEM files yet, you can do that by running the script from Automatize data download section. import fiona, rasterio import geopandas as gpd from rasterio. Rasterio is based on GDAL and Python automatically registers all known GDAL drivers for reading supported formats when importing the module. warp import reproject, Resampling import matplotlib. The talk showcased examples of powerful R Shiny based dashboards of interest for suppliers, manufacturer and other key stakeholders in supply chain network. pop Pop an image from the shared image stack. py to the use of the standard data_dir and path_coutwildrnp_shp fixtures (#616). The transformation information of the affine object. How can you change it to something smaller?. 我想从文件中加载GeoJSON与GeoTIFF上的rasterio掩码一起使用,我似乎无法得到正确加载GeoJSON。 Users/user/example. The idea is to get fixed size outputs where only the pixels from the input raster that fall within the fixed size area is taken. features from shapely import geometry import sys import xarray as xr #import matplotlib. This is a quick overview of essential python libraries for working with geospatial data. Note that when converting floating point data to integer RasterIO() rounds down, and when converting source values outside the legal range of the output the nearest legal value is used. Units value = (raw value * scale) + offset. We go through the example in figures and in text, and the source code is included in the figures. Rasterio is based on GDAL and Python automatically registers all known GDAL drivers for reading supported formats when importing the module. "We might end up having such system in the next few years. transform(). The default is to automatically parse the coordinates only if they are rectilinear (1D). Rasterio's reproject does intend to support masked arrays, but it seems to fail in this case. Please get OGR and follow along. Here's an example of some basic features that Rasterio provides. Fast Fourier Transform. Below you will find sample code in IDL, MATLAB, and Python to read in a GeoTIFF file, extract the metadata, and create an image. gridspec as gridspec import matplotlib. (Yes, that requires the dominator screw up, or some external way to uncontrolably trigger the wild shape happens) \$\endgroup\$ – Yakk Mar 21 '17 at 15:01. Using rasterio's projection information for more accurate plots. tif files that are all in the same spatial extent, CRS and resolution and either export them together a single stacked. Including SHP, KML, KMZ, MIF/MID or TAB MapInfo File, GeoJSON, TopoJSON, CSV, GPX, GML, DGN, DXF, ESRI File Geodatabase, OSM, PBF, GeoTiff and many others. x0 ndarray, shape (n,). Rasterize vector features. See their installation instructions for more details. a full cover rasterio-style window. And they did also carry with them deseret, which, by interpretation, is a honey bee; and thus they did carry with them swarms of bees, and all manner of that which was upon the face of the land, seeds of every kind. 0-1) [universe] Tagging script for notmuch mail. As an example, we shall look at the case where the NDVI data for the British Isles mentioned in the previous section needs to be reprojected to the Ordnance Survey National Grid, an appropriate projection for the UK. dev0 telluric is a Python library to manage vector and raster geospatial data in an interactive and easy way. See the examples below. I'd rather not construct it by hand. I am trying to position the two rasters below: geotif 1; geotif 2; So they will be aligned in the same coordinate system. You can vote up the examples you like or vote down the exmaples you don't like. transform(). DataArray of the values in the raster file(s). Automated Bulk Downloads of Landsat-8 Data Products in Python Fast and Reliable Top of Atmosphere (TOA) calculations of Landsat-8 data in Python Multispectral and hyperspectral satellites are amazing (I'm a huge fan). path import Path from matplotlib. Below you will find sample code in IDL, MATLAB, and Python to read in a GeoTIFF file, extract the metadata, and create an image. Feature(outLayerDefn) # set the geometry and attribute outFeature. In this case the raster band object is expected to override the GDALRasterBand::RasterIO() method itself, to implement efficient access to imagery with resampling. $\endgroup$ – Wasabi ♦ Aug 18 '16 at 11:43. , gdalinfo, gdal_translate) for convenient inspection and manipulation of raster data. Geometric transformation is the process of changing the geometry of a raster dataset from one coordinate space to another. The crop_image() function provides this inside the metadata object it returns! Finally you may want to update the nodata value. Note that when converting floating point data to integer RasterIO() rounds down, and when converting source values outside the legal range of the output the nearest legal value is used. Reading raster files with Rasterio¶ Rasterio is a highly useful module for raster processing which you can use for reading and writing several different raster formats in Python. Concepts and the Frequency Domain. RastaChimp decomposes the polygons into edges (using Shapely), applies an operation to them then rebuilds transformed polygons. tif image, I concluded that the process works as intended and we can see a visual result using matplolib. You map out solutions to real-life problems every day. see also rasterio docs. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. This allows transforms to be transparently performed using the correct projPJ objects for the particular thread in which the transform is being conducted. io required Currently supports paths to rasterio-supported rasters and numpy arrays with Affine transforms. interactive calculations including for example 2D and 3D plotting or symbolic maths, simple functionnal programming (with MATLAB-like syntax) as well as powerful object-oriented programming, scientific projects development from the simplest script to the most sophisticated application thanks to Qt development framework and Spyder development environment,. This is ideal for commands that require additional dependencies beyond those used by rasterio, or that provide functionality beyond the intended scope of rasterio. Often you want files in a specific format. It really ties together an understanding of wavelets with an understanding of the Fourier transform and why the latter has the nice properties it does. The part which I am stuck on is be able to save that plot somehow. Done well, this approach should work well for new data fed into the program, as well as the examples given to it initially while training. Again, simply put, it is an affine transformation of image coordinates to a world geographical system. basemap import Basemap from matplotlib. The function also needs the spatial transformation for the Rasterio object, which can be acquired by accessing the "transform" key within the Rasterio profile. The Project Raster tool transforms x-, This is a Python sample for the. Note that when converting floating point data to integer RasterIO() rounds down, and when converting source values outside the legal range of the output the nearest legal value is used. How to use rasterio. Returns a table of cell indices (row, column) with for example feature ID, and feature area within cell. For example, we can evaluate the impact on a specific article or an opinion not only by numeric data but also visualized map with the similarity-distance. In this example, I am converting to WGS84, the geographic coordinate system favoured in GPSs and used by all the popular web mapping sites. rasterio are included in the xarray. I have a list of polygons that is in vector form and should transform it into a raster mask which should be geographically aligned with the NDVI image. Hello everyone, In the picture below I am using rasterio to open a. The web site is a project at GitHub and served by Github Pages. AdvectionModifiedMOC attribute). a full cover rasterio-style window. With some modification it should be possible to support arbitrary incremental computations, like average, without loading all the data at once. The below function is my attempt to do this. open # transform to world coordinates so that we can map it:. Of course, ogr could be used too, but not fiona , since fails when used with gdal in the same script. I am trying to position the two rasters below: geotif 1; geotif 2; So they will be aligned in the same coordinate system. You can vote up the examples you like or vote down the ones you don't like. Ruby on Rails apps. features import rasterize from rasterstats import zonal_stats In order to run the required tools, it helps to view the data - the below help with adding a bit of interactivity:. Migrated unittest test cases in test_collection. We use cookies for various purposes including analytics. raster related issues & queries in GisXchanger. This can be done easily with the merge() function in Rasterio. Three bands are read from an image and averaged to produce something like a panchromatic band. My question is around how to convert a point that is not from the bounds and is just an x,y point in meters in a specific epsg. class rasterio. But this works. Statistics; User-defined Statistics; GeoJSON output; Rasterization Strategy; Working with categorical rasters “Mini-Rasters” Design Goals; History; Command Line Interface. Rasterio provides a :func:`rasterio. # cell spacing in meters dy = 250. uint8), 1). Path to the file to open. The RasterIO() call will take care of converting between the buffer's data type and the data type of the band. io required Currently supports paths to rasterio-supported rasters and numpy arrays with Affine transforms. They are extracted from open source Python projects. Figure 3F shows the expanded view of geospatial dataset set up for “Maritime Transport”. write(total. SetField(outLayerDefn. 2-3ubuntu1) lightweight database migration tool for SQLAlchemy. used in these subjects. # Write it out to a file. The talk showcased examples of powerful R Shiny based dashboards of interest for suppliers, manufacturer and other key stakeholders in supply chain network. csv to read projection name, UOM, UOMAngle, GeogCS, etc. GitHub Gist: instantly share code, notes, and snippets. The data type must be supported by the driver of this dataset. Parsing rasterio's geocoordinates¶. I'm looking to create a raster given just a geopackage (or shapefile, or other vector format). Rasterio 1. First you need to install miniconda or anaconda. Summarize Tree Height Data Using Pandas. 1 and rasterio 0. Reading raster files with Rasterio¶ Rasterio is a highly useful module for raster processing which you can use for reading and writing several different raster formats in Python. load_surf (f) Read SIFT or SURF features from externally generated file. The default font is huge however. rotation = 0 dx = 250. For example, we can evaluate the impact on a specific article or an opinion not only by numeric data but also visualized map with the similarity-distance. There are also some hints on making your map look good (scalebars, north arrows, text etc. And they did also carry with them deseret, which, by interpretation, is a honey bee; and thus they did carry with them swarms of bees, and all manner of that which was upon the face of the land, seeds of every kind. It was asked in an exam why a color video compress better than a black and white (grayscale) video using MPEG but can't find anything explaining it. [123] are bugfixes) * New GDAL drivers: - BPG: read-only driver for Better Portable Graphics format (experimental, no build support) - GPKG: read/write/update capabilities in the unified raster/vector driver - KEA: read/write driver for KEA format - PLMosaic: read-only driver for Planet Labs Mosaics API - ROI_PAC: read/write driver for. open()函数打开一个栅格文件 rasterio使用 read() 函数可以将数据集转为 numpy. The data are all resampled to 5-min grid-registered grids using the Rasterio Python package. where x is an 1-D array with shape (n,) and args is a tuple of the fixed parameters needed to completely specify the function. For # the new file's profile, we start with the meta attributes of # the source file, but then change the band count to 1, set the # dtype to uint8, and specify LZW compression. What does this notebook do?: This notebook pulls in data for all available sensors (LS5, LS7, LS8, S2a, S2b) based on the extent of a provided polygon. Easily change coordinate projection systems in Python with pyproj Posted on November 13, 2012 by John A. a full cover rasterio-style window. Stevenson Python is an easy-to-use programming language which, thanks to a growing number of cool extension modules, is really taking off in the world of scientific data handling. The following are code examples for showing how to use rasterio. Implicitly convert curve geometries to their linear approximations rather than failing (#617). flv -> mp3, but I don't know the command line parameters for mp4->mp3. Among other considerations Rasterio chose Python instead of C to avoid problems with pointers. The entire world looks like a square, which makes it easy to work with on a computer. See their installation instructions for more details. rasterize and rasterio. How To Use the Unpivot Transform in SSIS by Bradley Schacht · Published November 11, 2014 · Updated October 13, 2015 Moving data from columns to rows can be a tricky task and accomplished in a variety of ways. Unfortunately, Illustrator uses a different method for snapping symbols to the grid than for regular objects. One problem is that the. We shall combine these two tricks to carry out the reprojection. 2 or later) EPSGGetPCSInfo(): use pcs. The following example creates a contact list (as a list of dictionaries), then performs a loop over all contacts. In this presentation, Scott will give an update on the Pangeo project and showcase a few example workflows using large public archives of optical and radar satellite data. This post is a follow-up to Friday's and shows how you can dump a listing of open GDAL datasets in your own Python programs using nothing other than Python's standard library and how you can analyze the dumps with Python and an extra module or two. I created the road network shapefile from a dataset (using fiona) and therefore it has no projection. RastaChimp decomposes the polygons into edges (using Shapely), applies an operation to them then rebuilds transformed polygons. GeoTIFF上のrasterioマスクで使用するためにファイルからGeoJSONをロードしようとしていますが、GeoJSONを正しくロードできないようです。. For example, as Ted said in his answer to the linked question, when matter and antimatter annihilate, you start with some matter (fermions) and end with no matter (no fermions). This can be done easily with the merge() function in Rasterio. lib support libraries and their helper files were not included in the 9. Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Three bands are read from an image and averaged to produce something like a panchromatic band. plot as rplt from rasterio. isel ( time = [ 0 , 724 ]) - 273. We obtained the value 441 by applying valid_range attribute information using the GDAL's Virtual Raster Format (VRT). uint8), 1). Now we are ready to clip the raster with the polygon using the coords variable that we just created. First you need to install miniconda or anaconda. dumps, geojson. Examples and Exercises Virtual Environments. What does this notebook do? This notebook opens a shape file of transects, allows you to select a transect by number (or plot all sites), and plot a hovmoller diagram of the site NDVI based on datacube landsat surface reflectance data and BoM rainfall data. Seven examples of contour plots of matrices with subplots, custom color-scales, and smoothing. These methods are wrappers for the functionality in rasterio. Deprecated: Function create_function() is deprecated in /home/clients/f93a83433e1dd656523691215c9ec83c/web/6gtzm5k/vysv. from mpl_toolkits. If you want to follow along, you will need a raster image and a polygon boundary. php on line 143 Deprecated: Function create_function() is deprecated. Solving Transient Behaviour in circuits – Example 2(3) Step 6: Apply Cramer’s rule Step 7: Derive H(s) E2. 3->2 symmetric component transforms (a. This post is a follow-up to Friday's and shows how you can dump a listing of open GDAL datasets in your own Python programs using nothing other than Python's standard library and how you can analyze the dumps with Python and an extra module or two. Aggregation, Measurement, Transformation, Interpolation, Classification, Joins, Types, and Helpers. The entire world looks like a square, which makes it easy to work with on a computer. Among other considerations Rasterio chose Python instead of C to avoid problems with pointers. I can reproduce your issue with rasterio 1. The package is written in cython therefore it is very fast. Can you outline briefly if this role fits into your broader transformation plans? The role is with the Data Science team which is a key element of our transformation plan. Now we are ready to clip the raster with the polygon using the coords variable that we just created.