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ArcGIS Image Server Connection
By kapangio,
Hello,
can anyone explain how to configure server to get aerial image with IP address from this window...
or what is need for this...
Blockchain in Geospatial Applications
By rahmansunbeam,
This is an interesting topic from not quite an old webpage. I was searching for some use case of blockchain in geospatial context and found this. The contexts still challenging, but very noteworthy.
What is a blockchain and how is it relevant for geospatial applications?
(By Jonas Ellehauge, awesome map tools, Norway)
A blockchain is an immutable trustless registry of entries, hosted on an open distributed network of computers (called nodes). It is potentially safer and che
US weather forecast model gets an upgrade
By Lurker,
Meterology revolves as much around good weather models as it does good weather data, and the core US model is about to receive a long-overdue refresh. NOAA has upgraded its Global Forecast System with a long-in-testing dynamical core, the Finite-Volume Cubed-Sphere (aka FV3). It's the first time the model has been replaced in roughly 40 years, and it promises higher-resolution forecasts, lower computational overhead and more realistic water vapor physics.
A Python script to batch download and preprocess Sentinel-1
By rahmansunbeam,
Hello everyone ! This is a quick Python code which I wrote to batch download and preprocess Sentinel-1 images of a given time. Sentinel images have very good resolution and makes it obvious that they are huge in size. Since I didn’t want to waste all day preparing them for my research, I decided to write this code which runs all night and gives a nice image-set in following morning.
import os
import datetime
import gc
import glob
import snappy
from sentinelsat import SentinelAPI, geojson_to_
URBAN ANALYSIS TOOLBOX
By yousef2233,
Free Urban Analysis Toolbox Contains ARCPY tools for Urban Planners. Now its Developing and of-coarse FREE.
At the moment you can download it at this ADDRESS.
Remember before use check out for latest version.
2 tools are available: Land Use Entropy Index Calculator & Modified Huff Gravity Model (added custom Distance Decay Functions).
Hope you enjoy
Developer is [email protected] which is unknown
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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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