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TerrSet or IDRISI
By Maya007,
Hello all,
I am working with software TerrSet. How is it possible to export some values by selecting within a map. I dont want to consider industrial areas in a landcover map. So i want a map without industries from a landcover. Can someone tell me how is that done?
I have worked with ArcMap where we can just select the features from the attribute table and export the map with the selected features. Is there any option like that in here?
Thanks,
maaya
KH-9 satellite imagery
By Sonia,
Hi All,
I need to use some historical images to study land use changes and the one available to my study area is KH9 imagery so does anyone have an idea how to analyze historical imagery from the KH-9 satellite (Hexagon) operated between 1971 and 1984?
Thank you,
Sonia
Web-based GIS and Mapping Course
By indepthresearchservice,
Event: Web-based GIS and Mapping Course
Venue: Indepth Research Services, Nairobi, Kenya.
Event Date: 11th – 22nd June 2018.
NITA CERTIFIED
RECENT CLIENTS
INTRODUCTION
Web mapping focuses on disseminating and processing geographic information by means of Internet and World Wide Web. Combination of the web and GIS (Geographic Information Systems) has unlocked the potential of GIS, and put online maps and geospatial intelligence in the offices/homes
GIS and Remote Sensing for Agricultural Resource Management Course
By indepthresearchservice,
Event: GIS and Remote Sensing for Agricultural Resource Management Course
Venue: Indepth Research Services, Nairobi, Kenya.
Event Date: 11th – 15th June 2018.
NITA CERTIFIED
RECENT CLIENTS
INTRODUCTION
For optimum utilization of available agricultural land resources on a sustainable basis, timely and reliable information regarding their nature, extent and spatial distribution along with their potential and limitations is very important.
The e
Use of GIS and Remote Sensing in Disaster Risk Management Course
By indepthresearchservice,
Event: Use of GIS and Remote Sensing in Disaster Risk Management Course
Venue: Indepth Research Services, Nairobi, Kenya.
Event Date: 11th – 15th June 2018.
NITA CERTIFIED
RECENT CLIENTS
INTRODUCTION
Disaster risk information is spatial in nature and Geographic Information Systems (GIS) play an important role in disaster risk management. Rapid population growth and urbanization combined with extreme climatic events are causing a rapid increase in v
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Are you ready to level up your geospatial skills? Join our comprehensive training course covering ArcMap, ArcGIS Pro, and ArcOnline—the essential tools for modern spatial analysis and programming! What You’ll Learn: Core functionalities of ArcMap & ArcGIS Pro Cloud-based mapping with ArcGIS Online Automating workflows with Python & ModelBuilder Creating interactive web maps & apps Who Should Enroll? GIS beginners & professionals Urban planners, environmental scientists, & data analysts Developers looking to integrate spatial programming Why Choose This Course? Hands-on projects & real-world applications Expert-led sessions & flexible learning Limited slots available! Click here to register. Let’s shape the future of spatial data together! -
GPS is an incredible piece of modern technology. Not only does it allow for locating objects precisely anywhere on the planet, but it also enables the turn-by-turn directions we take for granted these days — all without needing anything more than a radio receiver and some software to decode the signals constantly being sent down from space. [Chris] took that last bit bit as somewhat of a challenge and set off to write a software-defined GPS receiver from the ground up. As GPS started as a military technology, the level of precision needed for things like turn-by-turn navigation wasn’t always available to civilians. The “coarse” positioning is only capable of accuracy within a few hundred meters, so this legacy capability is the first thing that [Chris] tackles here. It is pretty fast, though, with the system able to resolve a location in 24 seconds from cold start and then displaying its information in a browser window. Everything in this build is done in Python as well, meaning that it’s a great starting point for investigating how GPS works and for building other projects from there. The other thing that makes this project accessible is that the only other hardware needed besides a computer that runs Python is an RTL-SDR dongle. These inexpensive TV dongles ushered in a software-defined radio revolution about a decade ago when it was found that they could receive a wide array of radio signals beyond just TV. source: Hackaday and GitHub - chrisdoble/gps-receiver
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