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Yes, it is definitely possible. QGis has a QTiles plugin, which uses gdal2tiles under the hood, AFAIK. Then you can use leaflet/openlayers to read your tiles from the created directory structure.


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There is a good answer in Google Groups by Nelson Minar: Use experimental plugin by Ziggy Jonsson and Nelson Minar that renders GeoJSON with D3: https://github.com/NelsonMinar/vector-river-map/blob/master/clients/lib/TileLayer.d3_geoJSON.js Nicklas Aven recommends TKWB binary format that is 80% more effective bandwidth-wise. There is another D3+Leaflet ...


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rasterImage draws a raster image at a given location and size. Below is a very rough example, which you can hopefully adjust to your needs. (I made up some location points, you would obviously have to use yours.) library(rgdal) library(png) # load icons in PNG format iconfile1 <- ...


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JAXA have made global L-band SAR mosaics at 50 m spatial resolution available from the PALSAR sensor: http://www.eorc.jaxa.jp/ALOS/en/palsar_fnf/fnf_index.htm Registration is required to download the data.


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you can add the image as a Leaflet control, then Leaflet takes care of the z-indexing and positioning. var MyControl = L.Control.extend({ options: { position: 'bottomleft' }, onAdd: function (map) { // create the control container with a particular class name // ** you can add the image to the div as a background image using ...


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You can get Sentinel-1 data from scihub.esa. Requires only registration (And most likely, non-commercial use). As Sentinel-1 has just become operational the archive is not very extensive but should grow quite quickly. You can set request data-access propospal on Alaska Satellite Facility. Some data open access. For ALOS-PALSAR you must be a resident of the ...


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Only managed to find a couple of sources for SAR images and data: You can download SAR images from here which are mostly focused on ecological sites such as forests: You can download SAR samples from here which contain fairly large datasets (note: the last 4 links at the bottom of the SAR section are dead) Hope this helps.


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After testing the math against the known location parking lot image, I am pretty sure my guess is correct. I found distances between the type of lot in the map image vary in some parking lot code specifications that I located on Google. In a two-way traffic direction, with 60 degree parking stalls, requirements vary from 55 to 62 feet between the long ...



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