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Planet 50cm
By intertronic,
the satellites from planet can now take imagery at 50cm, they changed their orbit in order to achieve better GSD
SKYSAT IMAGERY NOW AVAILABLE
Bring agility to your organization with the latest advancements in high-resolution SkySat imagery, available today. Make targeted decisions in ever-changing operational contexts with improved 50 cm spatial resolution and more transparency in the ordering process with the new Tasking Dashboard.
EagleView Hits Key Milestone, Processing 100M Images So Far This Year
By Lurker,
EagleView, a leading technology provider of aerial imagery and data analytics, today achieved a key milestone when it processed its 100 millionth image so far this year. During 2019, EagleView processed 45,341,999 images. EagleView has more than doubled that figure in just the first six months of 2020.
“This represents a 95% increase in the number of images processed year-to-date compared to 2019,” said Jay Martin, COO of EagleView. “This was accomplished despite unexpectedly needing to mo
Updating legacy open data sites in ArcGIS Hub
By Lurker,
If your organization used ArcGIS Hub (formerly called ArcGIS Open Data) to build a website prior to 2016, ESRI recommend that you transition your site to the current hub framework. While ESRI have kept these systems online over the last 3 years to afford their customers time to make a new site in ArcGIS Hub, ESRI are now shutting off the legacy system on September 1st, 2020 for security reasons.
complete migration tutorial here:
https://www.esri.com/arcgis-blog/products/arcgis-hub/nati
BeiDou navigation enables smarter agricultural production
By Lurker,
China-developed BeiDou navigation technology has made agricultural production smarter and more precise.
Nanjing Agricultural University has developed the BeiDou-tech-supported unmanned wheat seeding and harvesting technology, empowering agricultural production with advanced navigation technology, according to the university.
The new wheat production technology is a significant part of smart wheat production technology, according to Tian Yongchao, deputy director with the smart agricult
Geemap: A Python package to join forces of Google Earth Engine, ipyleaflet, and ipywidgets
By rahmansunbeam,
geemap is a Python package for interactive mapping with Google Earth Engine (GEE), which is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. During the past few years, GEE has become very popular in the geospatial community and it has empowered numerous environmental applications at local, regional, and global scales. GEE provides both JavaScript and Python APIs for making computational requests to the Earth Engine servers. Compared with the
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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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