GeoNerds & Remote Sensing Whizzes: Mapping Mayhem

09/09/2024

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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This link will take you to a page that’s not on LinkedIn

30/05/2024

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

30/05/2024

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

30/05/2024

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)

03/05/2024

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18/03/2024

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

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.

18/03/2024

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

27/12/2023

23/12/2023

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.

11/12/2023

A Introductory WebGIS Portal