I have been trying to crop the white collar off two adjacent USGS maps and then stitch the two together. I do not want to use qGis or ArcGis. I am using gdal. I have tried via command line and the C# bindings via MaxRev. First I take the geoPDF downloaded from USGS. Then I run gdalwarp with the following options: "-te", xmin.ToString(), ymin.ToString(), xmax.ToString(), ymax.ToString(), "-t_srs", projectionWkt, "-r", "bilinear", "-dstalpha", "-of", "GTiff" Where the xmin, ymin, xmax, ymax are the coordinates of just the center map based on values in the map and the amount to cut off. projectionWkt is the source from the file. This gives me an image which is cropped. However when I stitch them together they do not line up. Does anyone have any suggestions on how I can make it line up?

I am trying to align my geometry object with the projection and transformation of my own Earth Engine asset raster var xmin = -1164.4524382716; var ymin = 135224.794683317; var xmax = -204.452438271604; var ymax = 136184.794683317; var cali_albers = cali_raster.projection(); var bbox_geom = ee.Geometry.Rectangle([xmin, ymin, xmax, ymax], cali_albers, true, false); where cali_raster is the name of my ee.Image object and bbox_geom is my geometry object. cali_raster is a raster I created in QGIS after clipping a raster of the United States down to the extent of California then reprojecting it from EPSG:5072 (Conus Albers) to EPSG:3310 (California Albers). I imported it to Earth Engine after performing these tasks. Printing the projection information of cali_raster returns this: Projection type: Projection crs: EPSG:3310 transform: [30,0,-423114.4524382716,0,-30,611204.7946833177] 0: 30 1: 0 2: -423114.4524382716 3: 0 4: -30 5: 611204.7946833177 The translation values seem questionable to me, but I'm not knowledgeable enough to know exactly why this happens after a reprojection. Sending this projection information into my bbox_geom object moves the geometry object southwest into the Pacific Ocean, far from my true area of interest. Why is this? When I map cali_raster in Google Earth Engine, it aligns perfectly with the California boundaries so I would think the same would be true if I were to pass the ee.Image's projection information into a different object.

My apologies if this question has been asked before; but I could not find my specific question answered elsewhere. I define a bounding box with bounds (xmin,xmax, ymin, ymax) in a rotated lon/lat system. If I'd supersample the points along this bounding box and transform the coordinates to a regular WGS84 system, it becomes clear (as you would expect for a rotated grid) that the bounding box ceases to be a box, and instead takes on a curved form in the other CRS: Now my problem is the following: I want to mask (e.g., with rasterio) a dataset (given in regular lon/lat coordinates) with my given bounding box (given in rotated lon/lat coordinates). A simple, but wrong, solution is to transform the bounding box coordinates to the regular lon/lat coordinates; as rasterio will then assume a straight line between the points of the polygon, i.e., it will mask following the red lines in the image below. So, the following is not the desired behavior (corner points are preserved correctly, edges are straight but should be curved!): One solution is to reproject my entire dataset into the rotated coordinate system. This is, however, not really the cheapest operation (for something I'll have to do many times over, and want to make reasonably interactive). Another solution is to do as written above, i.e., supersample the points along the bounding box, transform each of those points to the other CRS, and mask along the supersampled bounding box points. This can also get quite expensive, and it's hard to define when the curved cells are appropriately captured by the supersampling. So I wonder if another clean solution exists. BTW, the standard cropping/masking code is this import rasterio from rasterio.mask import mask IMAGE_path = '....tif' POL = ... with rasterio.open(IMAGE_path) as src: cropped_image, _ = mask(src, POL, nodata=0, crop=True, all_touched=True) return cropped_image

I have a raster x which is at a resolution of 100m and pixel value is its area in sqkm is suitable for an action, see below class : SpatRaster dimensions : 769, 716, 1 (nrow, ncol, nlyr) resolution : 100, 100 (x, y) extent : 7877150, 7948750, 2413700, 2490600 (xmin, xmax, ymin, ymax) coord. ref. : WGS 84 / Pseudo-Mercator (EPSG:3857) source : 15951_oppaoh.tif name : area min value : 0.008644464 max value : 0.008644755 I want to produce a raster y, with dimensions 10km (10,000m) such that the pixel value is the sum of the pixel values of x i.e. pixel value of y is the total area (sqkm) in 10x10km pixel suitable for an action. So I created a 'mask' raster which is of resolution 10,000m and same projection as x, with values 1:number of pixels in it (which does not mean anything) class : SpatRaster dimensions : 333, 325, 1 (nrow, ncol, nlyr) resolution : 10000, 10000 (x, y) extent : 7590450, 10840450, 902100, 4232100 (xmin, xmax, ymin, ymax) coord. ref. : WGS 84 / Pseudo-Mercator (EPSG:3857) source : raster10km_mask.tif name : lyr.1 min value : 107 max value : 108007 I have done y

I have the following SpatRaster object called pred_th: dimensions : 162, 87, 1 (nrow, ncol, nlyr) resolution : 0.08333333, 0.08333333 (x, y) extent : 43.25, 50.5, -25.58333, -12.08333 (xmin, xmax, ymin, ymax) coord. ref. : +proj=longlat +datum=WGS84 +no_defs source(s) : memory name : lyr1 min value : FALSE max value : TRUE I'm trying to reassign the crs to ESPG 29702. When I try the projectRaster function from the terra package, like this: pred_th %>% projectRaster(crs = "EPSG:29702", method = 'ngb') -> pred_th_proj I get the following error: Error in rbind(xy1, xy2, xy3, xy4, xy5) : number of columns of matrices must match (see arg 5) When I try the project function from the raster library, like this: pred_th %>% project(crs = "EPSG:29702", method = 'near') -> pred_th_proj I get this error: Error: [write] unknown option(s): crs

I am trying to sample a raster (pixel values= 1 or NA, where 1 means opportunity as defined for my research). The specs of my raster are class : RasterLayer dimensions : 15838, 3808, 60311104 (nrow, ncol, ncell) resolution : 60, 60 (x, y) extent : 2402625, 2631105, 788651, 1738931 (xmin, xmax, ymin, ymax) crs : +proj=utm +zone=43 +ellps=WGS84 +units=m +no_defs source : not including in this post names : not including in this post values : 1, 1 (min, max) I want to sample 30 random points in all pixels with value=1 for further analyses and research. sampled_points 0 is not TRUE is present. I have used sampleRandom() multiple times before in other analyses an dhave not encountered this problem. How do I solve this problem?

I am using filter to catch all the features who fall into a specific polygon. My collection is in EPSG:32632 coordinate reference system and it is located somewhere in this bounding box: xMin, yMin 470701.73,5048820.54 : xMax,yMax 641679.97,5165204.84 Filter uses polygons expressed in EPSG:4326, but usign org.geotools ReprojectingFeatureCollection this is not a problem. Here are the two polygons: the_geom bbox POLYGON ((-180 -90, -180 90, 0 90, 0 -90, -180 -90)), the_geom bbox POLYGON ((0 -90, 0 90, 180 90, 180 -90, 0 -90)) who are respectively reprojected into: the_geom bbox POLYGON ((-108523640.02189268 -187176133.93183675, -108523640.02189268 187176133.93183675, 274812009.447262 187176133.93183675, 274812009.447262 -187176133.93183675, -108523640.02189268 -187176133.93183675)), the_geom bbox POLYGON ((-69745878.65576684 -187176133.93183675, -69745878.65576684 187176133.93183675, 274812009.447262 187176133.93183675, 274812009.447262 -187176133.93183675, -69745878.65576684 -187176133.93183675)) What I expect is that applying filter with the first polygon I should get no features and when I apply filter with the second polygon I should get all the features. It's strange that filter gives back the whole features when is applied with both polygons! Here is a test to reproduce public class FilterTesting { @BeforeClass public static void setUp() { System.setProperty("org.geotools.referencing.forceXY", "true"); } @Test public void filterTesting() throws Exception { String file = "whereisyour.shp"; FileDataStore ds = FileDataStoreFinder.getDataStore(new File(file)); SimpleFeatureCollection features = ds.getFeatureSource().getFeatures(); ReprojectingFeatureCollection rfc = new ReprojectingFeatureCollection(features, org.geotools.referencing.CRS.decode("EPSG:4326")); Filter filter = buildFilter(-180D, -90D, 0D, 90D); SimpleFeatureCollection fc = rfc.subCollection(filter); Assert.assertTrue(fc.isEmpty()); filter = buildFilter(0D, -90D, 180D, 90D); fc = rfc.subCollection(filter); Assert.assertFalse(fc.isEmpty()); } private BBOX buildFilter(double x1, double y1, double x2, double y2) throws Exception { FilterFactory2 ff = CommonFactoryFinder.getFilterFactory2(null); ReferencedEnvelope bbox = new ReferencedEnvelope(x1, x2, y1, y2, CRS.decode("EPSG:4326")); return ff.bbox(ff.property("the_geom"), bbox); } } I am using org.geotools version 17.2. UPDATE You can download a shapefile to reproduce the behavior here

I am working in R and have netCDF files that I need to pre-process beforehand. One file can be downloaded here: https://drive.google.com/file/d/14tbMvFaYSvHpDWTOdbSSdverkowEhNyV/view?usp=share_link There are daily 0.25 ERA5 variables: class : RasterBrick dimensions : 720, 1440, 1036800, 365 (nrow, ncol, ncell, nlayers) resolution : 0.25, 0.25 (x, y) extent : -180, 180, -90, 90 (xmin, xmax, ymin, ymax) crs : +proj=longlat +datum=WGS84 +no_defs source : t2m.daily.an.era5.1440.720.2018.nc names : X2018.01.01, X2018.01.02, X2018.01.03, X2018.01.04, X2018.01.05, X2018.01.06, X2018.01.07, X2018.01.08, X2018.01.09, X2018.01.10, X2018.01.11, X2018.01.12, X2018.01.13, X2018.01.14, X2018.01.15, ... Date : 2018-01-01, 2018-12-31 (min, max) varname : t2m I need to remap from 0.25 to 0.5 + select a specific area. I have tried the following with CDO: #!/bin/sh var=$1 yr=$2 name=$3 flist=/****/****/**/0d25_daily/${var}/${var}.daily.an.era5.1440.720.${yr}* for f in $flist; do echo $f cdo -remapbil,r720x360 -sellonlatbox,-80,10,-20,15 $f ${name}_daily_ERA5_${yr}.nc done however when I open the file in R, I get 0 layers while normally for one year I should get a layer per day. class : RasterBrick dimensions : 360, 720, 259200, 0 (nrow, ncol, ncell, nlayers) resolution : 0.5, 0.5 (x, y) extent : -180.25, 179.75, -90, 90 (xmin, xmax, ymin, ymax) crs : +proj=longlat +datum=WGS84 +no_defs source : Tair_daily_ERA5_2018.nc names : layer varname : t2m

I want to generate Trimble GGF Geoid files from my software. Can anyone provide me with a format specification for the binary ggf files used by Trimble? I found a basic description on the OpenStreetMap wiki: ORIGIN: top left 0 0 TNL GRID FILE\0 XXX\0* 1 0 TNL GRID FILE 0x30 8-> ymin (°) (Min Latitude in decimal degrees) 0x38 8-> ymax (°) (Max Latitude in decimal degrees) 0x40 8-> xmin (°) (Min Longitude in decimal degrees) 0x48 8-> xmax (°) (Max Longitude in decimal degrees) 0x50 8-> dy (°) (Step size for latitudes, in decimal degrees) 0x58 8-> dx (°) (Step size for longitudes, in decimal degrees) 0x60 4-> (vNY, nrows) 0x64 4-> (vNX, ncols) North Pole South Pole Missing Value (nodata) Scale Flags* 0x92+ data* But some information is missing: * How is the data between 0x68 and 0x92 supposed to look? * How are the geoid heigth's supposes to be stored in the data* section? * Column-wise? * Row-wise? * South-West to North-East or the other way around?

Draw images easily, set up a plot with an image, specify where that image should be placed. Image plot by default reflects the index of the image data itself, or can be specified in simple extent terms 'xmin,xmax,ymin,ymax'. Numeric matrices, integer arrays, byte arrays, character arrays, and native rasters are (or will be) supported. A combination of image() and rasterImage() from the 'graphics' package with their good features in one place.

Draw images easily, set up a plot with an image, specify where that image should be placed. Image plot by default reflects the index of the image data itself, or can be specified in simple extent terms 'xmin,xmax,ymin,ymax'. Numeric matrices, integer arrays, byte arrays, character arrays, and native rasters are (or will be) supported. A combination of image() and rasterImage() from the 'graphics' package with their good features in one place.

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I created a custom tool in Pro. I used calculate value variable as extent parameter. Here I pull coordinates from a string as xmin ymin xmax ymax. It works as expected in Pro as it overrides the tool's environment extent. I published it to portal but it does not work there. The tool ignores the ext...

I am using this code to try fill a polygon with a regular grid of points, however it returns an empty point layer that is not visible on the map. i don't think it is interacting with the polygon layer i am using. layer = iface.activeLayer() feats = [ feat for feat in layer.getFeatures()] points = [] spacing_y = 50 spacing_x = 50 for feat in feats: extent = feat.geometry().boundingBox() xmin, ymin, xmax, ymax = extent.toRectF().getCoords() rows = int(ymax - ymin)/spacing_y cols = int(xmax - xmin)/spacing_x x = xmin y = ymax geom_feat = feat.geometry() for i in range(rows+1): for j in range(cols+1): pt = QgsPoint(x,y) tmp_pt = QgsGeometry.fromPoint(pt) if tmp_pt.within(geom_feat): points.append(tmp_pt.asPoint()) x += spacing_x x = xmin y -= spacing_y epsg = layer.crs().postgisSrid() #points uri = "Point?crs=epsg:" + str(epsg) + "&field=id:integer""&index=yes" mem_layer = QgsVectorLayer(uri, 'point', 'memory') prov = mem_layer.dataProvider() feats = [ QgsFeature() for i in range(len(points)) ] for i, feat in enumerate(feats): feat.setAttributes([i]) feat.setGeometry(QgsGeometry.fromPoint(points[i])) prov.addFeatures(feats) QgsMapLayerRegistry.instance().addMapLayer(mem_layer)