20

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 ...


13

Unfortunately I can't view that video from Canada but based on the screen shot I believe something like that could be rendered in Pov-Ray. A while back I asked a question about how to generate a high resolution rendering of the globe and @scw suggested I try Pov-Ray. Using this guide I was able to create custom globes with a combination of my own inputs ...


11

IMAGE REVERSE SEARCH WITH GOOGLE IMAGES Doing a reverse search using images.google.com I found this link from wikimedia commons: https://commons.wikimedia.org/wiki/File:M%C3%BCnchen_Geiselgasteig_Filmstadt_Aerial.jpg Which states it is a File called "München Geiselgasteig Filmstadt Aerial.jpg" Which was posted a few later than you question (2012) by http:/...


11

EDIT as 2019-06-18: HRO (High Resolution Orthoimagery) is no longer available on https://viewer.nationalmap.gov/basic/. Instead, visit https://earthexplorer.usgs.gov/. You'll need an account (free to register) to download the TIF files. The team of OpenMapTiles.org project works on a downloadable global satellite / aerial layer which is ready to be used ...


10

NASA's "Black Marble" is not one satellite image, but a mosaic gathered over several weeks and heavily edited: The data was acquired over nine days in April 2012 and thirteen days in October 2012. It took satellite 312 orbits and 2.5 terabytes of data to get a clear shot of every parcel of Earth's land surface and islands. This new data was then mapped ...


10

Perhaps the following links might be useful: http://ode.rsl.wustl.edu/moon/coverage/ODE_Moon_shapefile.html https://webgis.wr.usgs.gov/pigwad/down/moon_dl.htm https://webgis.wr.usgs.gov/pigwad/down/moon_geology.htm The images below were taken from the data from the last link which gave some details on geology of the moon. But all datasets in the links are ...


9

Think of the geometry. The incidence angle refers to the angle from nadir, or directly beneath the satellite, which would be 0°. As the sensor looks out to the sides from this nadir, the angle of incidence increases as does the fov (field of view). This is why the resolution decreases with increase in incidence angle. This illustration from the Sentinel ...


8

There is no satellite with a 5cm resolution. The best one that is available is 30cm (worldview 3, panchromatic). There are rumors that the military/secret service still have better ones in orbit (11. june this year there was the biggest available rocket starting with confidential payload if you like conspiracy). But the physics is a problem here. The optics ...


8

As others have shown interest for this question I'll answer it using the information I've been able to gather so far: There might be more than one archive or old Soviet Union imagery. As there were both military and civil missions (in contrast, film-recovery mission were forbidden in the US for non-military proposes). The archive I know of so far is ...


7

There are published coefficients available for MSS, TM5 ETM+7, QuickBird and IKONOS but I do not believe that anybody has derived coefficients for Rapid Eye. Here is a paper that describes how the authors derived the coefficients for Quickbird (http://www.asprs.org/a/publications/proceedings/pecora16/Yarbrough_L.pdf).


7

You can use r.patch for that (see help file) You probably want to set the region first to encompass all raster layers, after which you can use r.patch to 'mosaic' the layers. The following example is from the helpfile: export MAPS=`g.mlist type=rast sep=, pat="map_*"` g.region rast=$MAPS -p r.patch in=$MAPS out=mosaic Use the keyword export when you are ...


7

According to https://www.digitalglobe.com/sites/default/files/ISD_External.pdf you should have a field called satellite with a mnemonic like: “QB02”, “WV01”, “WV02”, “WV03”, “GE01”, “Aerial” Which I assume correspond to the satellites operated by DigitalGlobe: QuickBird, WorldView 1/2/3, GeoEye-1, IKONOS


6

One of the most simple ways to characterize vegetation from imagery is to utilize NDVI. In short, NDVI takes the difference from the spectral band with the highest EMR reflectance (nIR) and the spectral band with the lowest reflectance (red) and normalizes this value by dividing by the sum of the highest reflectance (nIR) band and the lowest reflectance ...


6

As someone who did feature capture from imagery for a while, I would caution you against expecting a pool at a spring. The majority of the ones I've encountered (both in capture and on the ground in person) don't have one. We often referred to ancillary sources to suggest/confirm a spring. Depending on your purposes, USGS quad sheets or hydrography datasets ...


6

The effects you are seeing are atmospheric effects due to differences in atmospheric aerosols, sun angle, and Rayleigh scattering. Since you have two scenes of the same location, though at different time periods, I would recommend using a technique called Dark Object Subtraction (DOS) (Song et al. 2001). From the ENVI web site: Dark object subtraction ...


6

Landsat is now available via Amazon Web Services Landsat 8 data is available for anyone to use via Amazon S3. All Landsat 8 scenes from 2015 are available along with a selection of cloud-free scenes from 2013 and 2014. All new Landsat 8 scenes are made available each day, often within hours of production. http://aws.amazon.com/public-data-sets/...


6

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)


6

The US Naval Research Laboratory has developed the "Special Sensor Ultraviolet Spectrographic Imager" (SSUSI). Versions of it have been aboard DMSP satellites since 2003, improving in accuracy. It records in the extreme ultraviolet and far ultraviolet spectral ranges. The most recent numbers I could find (from 2011) said it has 7km resolution and records ...


6

I am not a specialist of orbits, but I'll try to answer. Given a theoretical overpass time on a sun synchronous orbit, the exact one is not that easy to determine, as it depends on a lot of factors. the theoretical overpass time is valid at the equator, and for the local time under the satellite track when it crosses the equator (which is called the ...


6

It's probably a missing tile. If that's the case, it has nothing to do with the fact that this is satellite imagery. It's because you're accessing remotely stored data that is broken up into tiles, with different resolution and tile extents at different zoom levels. There's probably an error happening between at the tile server. Or, it's possible that the ...


6

It appears that the projection information is stored using CF conventions. import rioxarray # for 'rio' accessor import xarray xds = xarray.open_dataset("glm.nc") Here is what is in xds: <xarray.Dataset> Dimensions: (ntimes: 1, nx: 2499, ny: 1499) Dimensions without coordinates: ntimes, nx, ny Data variables: ...


5

Algebraic solutions are not very common for GPS, however, several do exist. The most well-known one is probably Bancroft's. Others are Abel's and Kleusberg's.


5

JAXA have made global L-band SAR mosaics at 25 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.


5

Sentinel-1 data is published as Open Data, with attribution, see licence here. Registration required. An API is provided. See Scientific Data Hub for details. Software is also provided to process data.


5

You won't have much luck finding a satellite that provides data from the ultra violet (UV) portion of the electromagnetic spectrum. The reason is that the wavelength of UV energy is so short that most of it gets absorbed or scattered by the atmosphere, or tiny particles in the atmosphere, before it even gets to the Earth (from the sun) let alone back up to ...


5

Together Terra and Aqua image the entire Earth every 1 to 2 days. The cross track swath is about 2330 km (about 3000 km is needed for "true" daily global coverage). Compared to the geostationary satellites (35,786 km), sun synchronous satellites fly relatively low (600 to 850 km), their swath is thus smaller for a similar viewing angles. The fact that ...


5

I'm afraid, but there is only little chance, that such images will be in wide access. Most part of such images is still on film source, not in digital. Maybe there are resources, forums, trackers etc., where You can find portions of these images. But I think, most of them will cover territory of ex-S.U. The biggest glacial image archive is property of ...


5

When in doubt follow Paul Ramsey's GeoTiff compression for dummies strategy. gdal_translate \ -co COMPRESS=JPEG \ -co PHOTOMETRIC=YCBCR \ -co TILED=YES \ 5255C.tif 5255C_JPEG_YCBCR.tif and if you need overviews too then add gdaladdo \ --config COMPRESS_OVERVIEW JPEG \ --config PHOTOMETRIC_OVERVIEW YCBCR \ --config INTERLEAVE_OVERVIEW PIXEL \ ...


5

This is not a ship that sank. It is a result of how the background image is made up of a large number of images that are combined. Google uses a multitemporal approach to creating their basemap and this method works well in most areas, but does result in ships appearing as sunken or "ghostly".


5

Short; It will actually depend on what NO DATA values mean; are they representing missing values during acquisition? Or, as the production of these images requires many processing steps, erroneous values may occur during some of them? Keep also in mind that the 3 channels must be registered after acquisition, hence you can imagine them are initially almost ...


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