- 2 replies
- 1,691 views
- Add Reply
- 0 replies
- 1,101 views
- Add Reply
- 4 replies
- 1,586 views
- Add Reply
- 2 replies
- 2,915 views
- Add Reply
- 0 replies
- 1,202 views
- Add Reply
Segmentation of agricultural crops
By jonaszed,
Hi,
I am new to this group, sorry if this question is answered elsewhere.
Can you suggest me a proven workflow for the segmentation of agricultural crops for satellite images (Sentinel 2, Bing, etc)?
I use QGIS 5.
Regards
Microsoft launches 12 million building footprints in Canada to the OpenStreetMap community
By Lurker,
Digital transformation is providing organizations with not only information that was never thought possible, but information that is accessible and usable. Data is the foundational resource that allows organizations to transform and uncover the insights they need to make smart decisions.
And this transformation is no different when the organization is the Government of Canada.
In July of 2018, StatsCan and Microsoft collaborated in order to tackle a unique challenge for our vast countr
How to add multiple polygon layers to DEM
By Arhanghelul,
I have a shape file containing around 300 polygons and a DEM.
Every polygon represents a waste layer about 10 inch thickness added on the field and marked by a date.
I would like to add each layer to the DEM value.
How can i do this ?
I would also like to create a 3D view in ArcScene for this waste pile, so that each layer can be selected individualy from the waste pile. How can I do that ?
I managed to converted the polygons to features, but i don't know how to continue
Rasterizing Point-Cloud data
By AhmadObeid,
Hello everyone.
I'm trying to figure out if there's any standard, go-to procedure that people in the field of remote sensing use in order to convert point-cloud data to a matrix.
I am a signal processing masters student, specializing in remote sensing and data fusion. Lately I've been going through the literature to see what people usually use, but authors do not, usually, explicitly mention what they do.
I have some Lidar point-cloud data, and the method I used was to simply int
DARPA Looking for a Tools to Capture Underground Worlds in 3D
By Lurker,
DARPA is seeking information on state-of-the-art technologies and methodologies for advanced mapping and surveying in support of the agency’s Subterranean (SubT) Challenge. Georeferenced data – geographic coordinates tied to a map or image – could significantly improve the speed and accuracy of warfighters in time-sensitive active combat operations and disaster-related missions in the subterranean domain. Today, the majority of the underground environments are uncharted or inadequately mapped, i
-
Forum Statistics
8.8k
Total Topics43.5k
Total Posts
-
Latest Posts
-
-
-
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
-
-
Latest Topics
-
-
Recent Achievements
