GeoNerds & Remote Sensing Whizzes: Mapping Mayhem

20 GIS DATA SOURCES & THEIR WEBSITES

1. USGS Earth Explorer
Data Type: Satellite imagery, aerial photos, elevation data
Website: https://lnkd.in/dhfrySmj

2. Natural Earth
Data Type: Free vector & raster data for cultural, physical, & raster datasets
Website: https://lnkd.in/d49hkqTS

3. OpenStreetMap (OSM)
Data Type: Free editable map of the world, includes road networks, buildings, etc.
Website: https://lnkd.in/dKZqF7gT

4. Copernicus Open Access Hub
Data Type: Sentinel satellite imagery (Sentinel-1, Sentinel-2, etc.)
Website: https://lnkd.in/dhKKDmVT

5. NASA Earthdata
Data Type: Earth science data from NASA’s satellites
Website: https://earthdata.nasa.gov

6. European Space Agency (ESA) Earth Observation Data
Data Type: Satellite data from ESA's missions
Website: https://eoportal.org

7. Geospatial Data Abstraction Library (GDAL)
Data Type: Raster & vector geospatial data formats
Website: https://gdal.org/

8. LandsatLook Viewer
Data Type: Landsat satellite imagery
Website: https://lnkd.in/dRvM_nvs

9. World Resources Institute (WRI)
Data Type: Environmental & socio-economic data
Website: https://www.wri.org

10. Global Administrative Areas (GADM)
Data Type: Administrative boundaries of countries
Website: https://gadm.org

11. FAO GeoNetwork
Data Type: Global datasets on agriculture, fisheries & ecosystems
Website: https://lnkd.in/dTv87zG6

12. Global Forest Watch
Data Type: Forest cover, loss & conservation data
Website: https://lnkd.in/ddXF8xgu

13. DIVA-GIS
Data Type: Environmental & biodiversity data
Website: https://diva-gis.org/

14. Earth Observing System (EOS) Data Analytics
Data Type: Satellite data analysis platform for vegetation, climate & land cover
Website: https://eos.com

15. National Geospatial-Intelligence Agency (NGA) GEOnet Names Server (GNS)
Data Type: Geographical feature names
Website: https://lnkd.in/dwdvwkxT

16. Google Earth Engine
Data Type: Massive amount of satellite imagery & geospatial datasets.
Website: https://lnkd.in/dVun-hzp

17. WorldClim
Data Type: Global climate data, including temperature & precipitation
Website: https://www.worldclim.org

18. OpenTopography
Data Type: High-resolution topographic data, particularly LiDAR data
Website: https://lnkd.in/d8Q9P33t

19. Geofabrik
Data Type: Shapefiles, maps, map tiles & web mapping solutions
Website: https://www.geofabrik.de/

20. MODIS (Moderate Resolution Imaging Spectroradiometer)
Data Type: Environmental data from NASA's Terra & Aqua satellites
Website: https://lnkd.in/dFFET9Xe

These sources offer a broad array of hashtag datasets, ranging from natural to socio-economic data, & are useful for various hashtag applications.

If you find this post valuable, kindly consider hashtag & follow me, Mashford Mahute, for related content.

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Follow these courses for with a

1️⃣. 𝙂𝙚𝙤 𝙐𝙣𝙞𝙫𝙚𝙧𝙨𝙞𝙩𝙮- Introduction to Remote Sensing
https://lnkd.in/epFU56Uk

2️⃣ . 𝙈𝙄𝙏- Spatial Database Management And Advanced GIS
https://lnkd.in/e2nGMPYz

3️⃣. 𝙄𝙃𝙀 𝘿𝙚𝙡𝙛𝙩- Planning for Urban Climate Adaptation
https://lnkd.in/eWqnymDE

4️⃣. 𝙐𝙣𝙞𝙫𝙚𝙧𝙨𝙞𝙩𝙮 𝙤𝙛 𝙂𝙚𝙣𝙚𝙫𝙖- Water Resources Management and Policy
https://lnkd.in/ebcbQCkf

5️⃣. 𝙎𝘼𝙎 𝙋𝙧𝙤𝙛𝙚𝙨𝙨𝙞𝙤𝙣𝙖𝙡 𝘾𝙚𝙧𝙩𝙞𝙛𝙞𝙘𝙖𝙩𝙚 - Using Data for Geographic Mapping and Forecasting
https://lnkd.in/eKd3uAAC

Follow these courses for with a

1️⃣. 𝙂𝙚𝙤 𝙐𝙣𝙞𝙫𝙚𝙧𝙨𝙞𝙩𝙮- Introduction to Remote Sensing
https://lnkd.in/epFU56Uk

2️⃣ . 𝙈𝙄𝙏- Spatial Database Management And Advanced GIS
https://lnkd.in/e2nGMPYz

3️⃣. 𝙄𝙃𝙀 𝘿𝙚𝙡𝙛𝙩- Planning for Urban Climate Adaptation
https://lnkd.in/eWqnymDE

4️⃣. 𝙐𝙣𝙞𝙫𝙚𝙧𝙨𝙞𝙩𝙮 𝙤𝙛 𝙂𝙚𝙣𝙚𝙫𝙖- Water Resources Management and Policy
https://lnkd.in/ebcbQCkf

5️⃣. 𝙎𝘼𝙎 𝙋𝙧𝙤𝙛𝙚𝙨𝙨𝙞𝙤𝙣𝙖𝙡 𝘾𝙚𝙧𝙩𝙞𝙛𝙞𝙘𝙖𝙩𝙚 - Using Data for Geographic Mapping and Forecasting
https://lnkd.in/eKd3uAAC

lnkd.in

Free Geospatial Dataset Web links 🖼️ 🗺️🌍

1. Available Open Datasets
- [Geofabrik](https://www.geofabrik.de/)
- Search for "Factory POI dataset"
- [Global Rural-Urban Mapping Project (GRUMP)](https://lnkd.in/eCJ8G3Qn)
- [GeoNames Data](http://www.geonames.org/)
- [City of Toronto](https://open.toronto.ca/)
- [ArcGIS Hub](https://hub.arcgis.com/)
- [GeoHub City of Brampton](https://data.brampton.ca/)
- [City of Markham](https://open.maple.io/)
- [New York City](https://lnkd.in/eQKN6TEx)
- [BBBike](https://lnkd.in/e3kuHMMG)
- [Mapzen](https://mapzen.com/)
- [openterrain list](https://lnkd.in/ehg8iyrF)
- [terrain party](http://terrain.party/)
- [OpenMapTiles](https://openmaptiles.org/)

- [GADM maps and data](https://gadm.org/)
- Various sources; search for specific data
- [SRTM C-BAND DATA PRODUCTS](https://lnkd.in/exsgdib7)
- [CGIAR-CSI SRTM raster data](http://srtm.csi.cgiar.org/)
- [Wikimapia](http://wikimapia.org/)

2. Commercially Available Datasets
- [Planet.osm](https://lnkd.in/eGHUU7Pj)
- [MapTiler](https://www.maptiler.com/)
- Search for "Factual Global Places dataset"
- [TravelTime API](https://traveltime.com/)
- [Precisely](https://www.precisely.com/)
- [World Cities Database](https://lnkd.in/eqAXHEBJ)
- [SafeGraph](https://www.safegraph.com/)
- [Google Maps Platform](https://lnkd.in/eVu_G_UZ)
- [Here Maps for Developers](https://lnkd.in/eYiM8ghb)
- [MPAC Residential Property Assessments](https://www.mpac.ca/)
- [Geodata Tufts](https://sites.tufts.edu/)

3. Elevation Data
- [Open Elevation API](https://lnkd.in/eCyYx8si)
- [Open Topo Data API](https://lnkd.in/eNueQiKW)
- [National Map API](https://lnkd.in/eGwVVzHS)
- [Google Maps API](https://lnkd.in/e9r-uPhe)

4. Traffic Datasets
- [Open Traffic](https://opentraffic.io/)
- [Google Routes](https://lnkd.in/eK2wQpuP)

5. Parking Tickets Datasets
- [City of Toronto Parking Tickets](https://lnkd.in/eDAUNPhu)
- Search for "Toronto Parking Tickets Visualization dataset"

6. Public Transport Networks Datasets
- [Google Transit APIs](https://lnkd.in/egj-q6nF)

7. Planned Events, Road Work, and Other Temporary Changes
- [one.network](https://www.one.network/)
8. Traffic Crashes Datasets
- Search for "Countrywide Traffic Accident Dataset"
- [Open traffic](https://opentraffic.io/)

9. Emission Datasets

- [Ontario Air Quality Data Sets](https://lnkd.in/e2n94-AA)

10. Environmental Datasets
- [Canadian Open Geospatial Data](https://open.canada.ca/)
- [Government of Canada Open Data Portal](https://lnkd.in/eG2pFnEN)

11. Mobility-Aware Urban Design
- [Urbano](https://www.urbano.io/)

12. Accessibility
- [Wheelmap](https://wheelmap.org/en/)
- [accessibility.cloud](https://lnkd.in/esmXsqdp)

13. Crime Map

14. Open-Source Projects
- [GIScience](https://lnkd.in/egnYgHh8)

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https://gisgeography.com/remote-sensing-applications/

100 Earth Shattering Remote Sensing Applications & Uses - GIS Geography This list of earth-shattering remote sensing applications will change the way you feel about how this industry is changing our world and the way we think.

SOME GEOSPATIAL DATA AND WHERE TO DOWNLOAD THEM.

1. Shapefile (Administrative Boundary, country masked DEM and more)
•https://lnkd.in/gqpMXQnU
•https://lnkd.in/gyBnaDTk
•https://lnkd.in/g3vcb_7S
•https://lnkd.in/g6_nD_XH
•https://mapcruzin.com/

2. 30m Digital Elevation Model
•https://lnkd.in/gpCx7i9C
•https://lnkd.in/gtm_Jw_M
•https://lnkd.in/g56WE-Kc

3. 90m Elevation Model
•https://lnkd.in/g57xAGcB

4. 225m, 250m, 1km Elevation Model
•https://lnkd.in/gthWDcbC

5. Rainfall data
•https://lnkd.in/g5BbpU35
•https://lnkd.in/g-DsUgrF

6. Climate Data
•https://lnkd.in/gGXzgQ3y

7. LandUse LandCover Data
•https://lnkd.in/gCXHEEQS
•https://lnkd.in/gtm_Jw_M

8. Geologic Data
•https://lnkd.in/guMigDqq

9. World administrative boundary
•https://lnkd.in/gahrNDNA

10. Active Fire data
•https://lnkd.in/gCDpb9Ud •https://lnkd.in/gWEjzN6C

11. Soil Data
•https://lnkd.in/gVsDvQFG

12. Moon Elevation Model
•https://lnkd.in/gbgKrsSU
•https://lnkd.in/guyQmGis

13. 1m Elevation Data
•https://lnkd.in/g476J5zZ
•https://lnkd.in/gtKUkmiV

Another intro to geospatial data science - now with a particular focus on Python. I first saw it in the feed of Data Urbana and, created by Miradi, PhD. Then, based on personal experience and also comments I received here on Linkedin, I extended it a bit:

𝐀𝐫𝐜𝐆𝐈𝐒 - the full ArrcGIS experience in Python - https://lnkd.in/dgC6sKJH

𝐂𝐚𝐫𝐭𝐨𝐩𝐲 - the Python interface for CARTO's analytical platform - https://lnkd.in/dc8ijXRg

𝐂𝐨𝐧𝐭𝐞𝐱𝐭𝐢𝐥𝐲 - a cool map visualization tool - https://lnkd.in/dTdQsmKX

𝐃𝐞𝐬𝐜𝐚𝐫𝐭𝐞𝐬 - an image plotter that works well with geo - https://lnkd.in/d4andF4Y

𝐅𝐢𝐨𝐧𝐚 - to transform to and from GIS data structures - https://lnkd.in/d8sJ3Q5a

𝐅𝐨𝐥𝐢𝐮𝐦 - for visualizing maps - https://lnkd.in/dfSsE-MB

𝐆𝐝𝐚𝐥 - aka Geospatial Data Abstraction Library - https://lnkd.in/dYBJBaAY

𝐆𝐞𝐨𝐡𝐚𝐬𝐡 - to geohash (geocode) fast - https://lnkd.in/dB-m8a4s

𝐆𝐞𝐨𝐣𝐬𝐨𝐧 - to deal with json data - https://lnkd.in/daGs2WYq

𝐆𝐞𝐨𝐩𝐚𝐧𝐝𝐚𝐬 - undoubtedly, the geo python 101- https://lnkd.in/dBTFKKV3

𝐆𝐞𝐨𝐩𝐲 - an advanced geocoder - https://lnkd.in/dfAzR8Xa

𝐡3 - spatial indexing via Uber - https://h3geo.org/docs/

𝐤𝐞𝐩𝐥𝐞𝐫.𝐠𝐥 - beautiful maps + large-scale data - https://kepler.gl

𝐌𝐨𝐬𝐚𝐢𝐜 - scale geo things up on Databricks - https://lnkd.in/duPCdkTd

𝐎𝐯𝐞𝐫𝐩𝐲 - to access the OpenStreetMap US API - https://lnkd.in/dj5hN7Pp

𝐎𝐒𝐌𝐧𝐱 - deal with OSM networks right - https://lnkd.in/dm3pHgUS

𝐏𝐲𝐐𝐆𝐈𝐒 - the QGIS experience in Python - https://lnkd.in/dShWyWVr

𝐏𝐲𝐒𝐀𝐋 - The Python Spatial Analysis Library - https://pysal.org

𝐏𝐲𝐝𝐞𝐜𝐤 - large-scale interactive data visualization in Python - https://lnkd.in/dGBFu-iw

𝐏𝐲𝐩𝐫𝐨𝐣 - helping with crs projections - https://lnkd.in/dNG9fdkm

𝐏𝐲𝐫𝐨𝐬𝐦 - to visualize OSM data - https://lnkd.in/d4vrrAC7

𝐑𝐓𝐫𝐞𝐞 - classic spatial indexing - https://lnkd.in/dURMiYpU

𝐑𝐚𝐬𝐭𝐞𝐫𝐢𝐨 - great for satellite images - https://lnkd.in/dEMC6ve6

𝐒𝐜𝐢𝐤𝐢𝐭-𝐦𝐨𝐛𝐢𝐥𝐢𝐭𝐲 - for analyzing GPS mobility data - https://lnkd.in/dpHhaX2J

𝐒𝐡𝐚𝐩𝐞𝐥𝐲 - to handle and create geometries - https://lnkd.in/d568datK

Image credit to the original post.