I found a pretty exact way to answer this question. It exploits the sentinelsat Python API to extract the desired information directly from ESA's SciHub:
from sentinelsat import SentinelAPI
api = SentinelAPI('yourUsername','yourPassword')
S1 = api.query(date=('2017-01-01T00:00:00Z','2017-12-31T23:59:59Z'),platformname='Sentinel-1',producttype='SLC',...
From the Wayback Machine:
The domain worldgrids.org will be discontinued.
A set of GIS layers of biophysical properties available at:
for each territory in the world.
If you can't find what you are looking for, the following links might be useful
For reference, the 911Count.shp you're asking about is from the tool help, specifically within the Python snippets.
arcpy.HotSpots_stats("911Count.shp", "ICOUNT", "911HotSpots.shp",
"NONE", "#", "#", "euclidean6Neighs.swm", "NO_FDR")
These python snippets ...
When you import a shapefile (or zipped shapefile) into QGis is just displays the data using a random color. So you need to style it and select a attribute to colour it in by and how you'd like the values mapped to colours.
The trick with the wind speed data is to read the documentation (boring though that is) - so looking in the included "Wind_attributes....
I don't think this is the answer you're looking for but with the specifications you describe, unless there is a subscription through which the farmers need to finance imagery purchase, it would probably be cheaper to buy mapping drones equipped with sensors like a rededge-m.
I have no knowledge of new satellite taskings for 0.5m resolution multispectral (...
It has got data from 1851 to 2017 it has:
it has storm surges, heavy rainfall, high winds, tornadoes, rip currents, and flooding.
Your example is missing one character (it is 15 in total). In California it should be 060070004024003 (starting with 06; see here).
The first and second digits identify the state. The third, fourth and fifth ones identify the county within the state. So, 06007 gives a unique identifier for a county (source).
Assuming you have a list in a spreadsheet (...
You can disable those repositories by going to the menubar:
Settings > Options > Advanced
Click the "I will be careful..." button and find the following path:
Qgis > plugin-repos
Expaned the ones you are interested in, select the enabled property and set the value from true to false:
When you're finished, click OK and restart QGIS. Hopefully ...
If you have a look at Sentinel 2 bands you'll find that all bands are type unsigned int 16 except for QA20 that is unsigned int 32, that band is causing the issue.
You can solve it in different ways, but I post here what I think is what you need:
var image = ee.ImageCollection('COPERNICUS/S2')
First you need the parliamentary borders, which you can download as a shapefile from
You can also get the data generalised or clipped to the coastline - search for "Westminster" seems to get most of the options:
You could try https://elevation-api.io
Disclaimer: I am the developer of the site, but also needed an alternative.
Edit: According to an admin, I'm to include a "long" answer with "context". So here it goes:
ahem... This is an API which returns elevation data, just as Google does, maybe you'll find it as a suitable replacement.
Uber has recently developed H3, which is a geospatial indexing system using multiple hexagonal grids of different sizes organized hierarchically.
There is an R package called h3r that makes it easy to work with Uber's h3 in R. There are also Java and Java-script bindings of H3.
MUSYM is an abbreviation for Map Unit Symbol. It is a shortened string for the Map Unit Name. You should have also received a series of tables (either as text files, personal geodatabase, or FGDB) with the spatial data. Use the MUKEY attribute to join the spatial data with the Mapunit table to get the full Map Unit Name.
You may find more helpful ...
Processing data off of a flash drive usually goes a lot slower than when the data is saved locally. If I'm doing major processing I usually copy my files over to the local drive before I start working. You could also consider using a larger external hard drive, rather than a flash drive. It may cost more but it should allow you to hold more data and work ...
In regards to QGIS/GRASS modules to conduct stereoscopic analysis you can with these resources providing further details on general approach and some steps to their methods.
A Survey of Stereoscopic Visualization Support in Mainstream Geographic Information Systems
Viewing existing data as stereo 3D
The d.anaglyph addon ...
You can view a python window. I would suggest referencing this page QGIS Python console
The QGIS Python Console is an interactive shell for the python command executions. It also has a python file editor that allows you to edit and save your python scripts. Both console and editor are based on PyQScintilla2 package. To open the console go to Plugins ‣ ...
As you are using ArcGIS Pro one of the improved things is it's ability to draw data from online portals. You don't need to go anywhere to get any data as generic datasets such as country boundaries are all accessible right inside ArcGIS Pro!
Open up the Catalog pane, select Portal, Living Atlas and type "Netherlands", second dataset is a Netherlands Country ...
In wizard of overpass-turbo it looks something like this: railway=tram_stop or public_transport=station. See query below. Check osm for the exactly used types and tags:
When doing the query in overpass turbo make sure to zoom on that area you want to have your result at.
All stops in VBB:
This has been generated by the overpass-turbo wizard.
r.sim.sediment is a tool from the GRASS toolbox. You can find documentation for GRASS tools by clicking the "Help" link in the QGIS tool dialog for that tool, or go straight here:
It shows that you need a few raster data sets over your study area, including elevation, water depth and so on.
I think you will struggle to find those regional shapefiles. But when i've needed country wide shapefiles, i tend to use Natural Earth:
In your case, i would download the "Admin 0 - Countries" file. If you then open this shapefile into, let's say QGIS or ArcMap, open the attributes table and ...
You could also use the OSM Overpass API (as a web-based tool: https://overpass-turbo.eu/) to query OSM data and export it.
There is also a list for the differing country specific admin levels and their meaning in the OSM wiki
I used the wizard for constructing the query.
Here is an example of the UK with the corresponding query:
I would suggest looking here:
Public Geodata for the UK
The following links are to sources of geo-spatial data and is intended for the use of researchers who cannot afford to buy expensive datasets. Hence, all the datasets are either free or cost under £50.00. Whilst we have included low cost data, it is not our intention to advertise or support ...
In version 2.18, the relative path was an option but didn't actually work.
Project ➜ Project Properties ➜ General ➜ General settings ➜ Save paths.
However, it does work in 3.2:
Project ➜ Properties ➜ General ➜ General settings ➜ Save paths.
As of 2018-09-25 the links listed above all point to 404 errors. I have found downloadable (FGDB format) historic tracks (1900-2013) at:
Search for the phrase "Tropical Cyclone Storm Segments", then click the Download button, which takes you to an ftp site:
Here are some good sites I have been able to get data from in the past.
http://db.edcs.eu/epigr/epimap.html (amazing map and data showing locations of found roman inscriptions all over europe, africa, asia)
MODIS imagery is publicly available via satellite imagery service called LandViewer. You can download it with ease via the toolbar on the right or use dozens of tools for image analysis directly on the platform.
Besides that there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, ...
The Global Wind Atlas by DTU Energy and the World Bank Group is definitely worth checking out. It contains GIS data on wind speed, capacity factor and direction (and much more) at 50, 100 and 200m hub height, with a 250x250m resolution, free of charge.
Looks like you can search by address, and if you click on the area information tab, you can get which providers are available. This wasn’t available in 2017. If you download the map data, you don’t get provider information. Then, looking at the FAQ for that page, I found this: https://open....
Unfortunately, there’s no such thing as live satellite imagery yet. Space agencies and commercial imaging companies are trying to reduce interval between image acquisition and delivery, but the most frequently updated imagery in free public use is still the one from weather satellites. You may choose to buy commercial images from DigitalGlobe, Airbus, ...