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satellite for exploration of oil or gas
By Ryan,
Is there anyone who will recommend the right satellite for exploring the oil or gas fields? 🙏🙏
Seabed Project by UN will create ocean map by 2030
By Lurker,
The U.N.-backed project, called Seabed 2030, is urging countries and companies to pool data to create a map of the entire ocean floor by 2030 which will be freely available to all.
“We obviously need a lot of cooperation from different parties – individuals as well as private companies,” said Mao Hasebe, project coordinator at the Nippon Foundation, a Japanese philanthropic organization supporting the initiative.
The project, which launched in 2017, is expected to cost about $3 billion
Software for long and cross-sections for hydrology and drainage systems
By imiltopnem,
Hi comrades,
I have been searching for a solution to deal with a problem but this is not my cup of tea so could use some help from the experts here. I am looking for software that can best deal with cross- and long-sections of river systems. Vectorworks was recommended by a friend but it involves a learning curve to master it. CAD software ( AutoCad or related) might handle that kind of task but I am not an avid user. Ideally, I would like to use temporal data of two time periods to compute
Identify tool gives no value for the raster
By Maya007,
Hello,
I was doing some operation like euclidean distance over shape file and then some raster calculator in the model of ArcMap 10.4.1. Every sequential operations like finding the euclidean distance followed by reclassifying the distances and then applying some conditional formulaes using raster calculator all worked well. BUt when i ckecked the pixel value using tool Identify, it shows as no value. But the range of value shown in the resulting raster is correct.
WHat could b
Corridor linkages
By Maya007,
Hello all,
I built corridors between core forests using the "Linkage mapper"(https://circuitscape.org/linkagemapper/) which is a tool that could be used in ArcGIS. But the final corridor image is a raster file with values based on the eqaution:
Normlaised least cost corridor value = Cost weighted distance from core forest A + Cost weighted distance from core forest B - COst weighted distance accumlated moving along the ideal path (least cost path) connecting the core forests A and B.
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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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