rahmansunbeam

Superb news. "The word liberagis in Esperanto means liberated, set free." -well said.

Generative AI and 'text to GIS' are coming to ArcGIS Pro. GenAI is coming to replace most of the small-scale and basic analysis tasks, probably within 2-3 years. Here is a video of ArcGIS ecosystem using GenAI Assistant. https://mediaspace.esri.com/media/t/1_opret32t https://highearthorbit.com/articles/announcing-ai-assistants-for-arcgis/ And here is an updated roadmap for ArcGIS Pro - https://community.esri.com/t5/arcgis-pro-documents/arcgis-pro-roadmap-may-2024/ta-p/1419528/redirect_from_archived_page/true

Interstingly, ENVI has been wildly successful for many people. After its release in 1994, it was acquired by ITT Corp in 2011, then handed to Exelis Inc, then Harris Corp, then L3 Technologies as L3Harris, and finally NV5 Global. The core is IDL which remained unchanged, but everything has refined and fine-tuned all the way. This depends on the vendor and license type.

Interesting update! I see they introduced IDL for VSCode as well, also an 'IDL Notebook'. I will give these new tools some time to mature before a proper test drive.

With the onset of the this years User Conference, Esri unveiled various updates to its existing services and apps, one of which is the Sentinel-2 Land Cover Explorer announced in last February. You can also find this in the Living Atlas. Apart of the the visual updates, the biggest change this time is that the changes over the year are now more accurate. A fundamental aspect of global LULC maps is the ability to detect and assess land cover changes over time. Improving on an already accurate set of annual maps, Impact Observatory has incorporated new features and methodologies in their proprietary deep learning classification model, resulting in better temporal consistency across the entire time series. Change between two LULC maps can potentially signify an important and developing change in an area of interest. However, in some cases, classification results may vary from one annual cycle to the next due to modeling insufficiencies, variability in seasonal observations, and/or class ambiguity at 10-meter resolution. Such cases can lead to false or spurious change results when conducting temporal change analysis. With the improvements to the temporal consistency, users assessing temporal change across the time series can be confident that what they are seeing represents the natural world. Link - https://livingatlas.arcgis.com/landcoverexplorer/ Source https://www.esri.com/arcgis-blog/products/arcgis-living-atlas/imagery/global-land-cover-updates/

GeoNetwork 4.2.2 change notes Authentication / OAuth2 OpenId Connect Single Sign-on and also support for OIDC Bearer tokens Search / Aggregations / Add icon decorator Search / Autocomplete improvements Indexing / Add analyzer for Dutch Indexing / Improve performance Editor / Easier configuration for custom editor Feature catalogue now provides a table of content when multiple tables are described. Feature catalogue / Use ISO19115-3 instead of ISO19110 Admin / Improve layout for settings CSW / Improve DCAT support INSPIRE / Fix import from Re3gistry GitHub link https://github.com/geonetwork/core-geonetwork/releases Download https://sourceforge.net/projects/geonetwork/files/GeoNetwork_opensource/v4.2.2/ So I have been working with GeoNetwork for few days and installation is a real pain in the ***. I could not find any other robust and open-source geo-data cataloging software with search capability. My system still shows some errors but that will be fine.

Following the successful launch of Landsat 8 and during the development of Landsat 9, the United States Geological Survey (USGS) and NASA assembled a team of experts from within both agencies for a Joint Agency Sustainable Land Imaging Architecture Study Team to evaluate how to inform an acquisition strategy for a follow-on mission that would best satisfy the diverse and evolving user needs collect by the USGS. The highest-recommended architecture was a small constellation of “superspectral” space-based sensors that would improve the spectral, spatial, and temporal capabilities. Landsat Next data would be sufficiently consistent with data from the earlier Landsat missions to permit studies of land cover and land use change over multi-decadal period. Landsat Next Defined Landsat Next will be a constellation of three observatories sent into orbit on the same launch vehicle, which will provide an improved temporal revisit for monitoring dynamic land and water surfaces such as vegetation, wildfire burns, reservoirs and waterways, coastal and wetland regions, glaciers, and dynamic ice sheets. Landsats 8 and 9 measure 11 spectral bands from the visible to thermal infrared wavelengths. Landsat Next will have 26 bands; this includes refined versions of the 11 Landsat “heritage” bands, five bands with similar spatial and spectral characteristics to the European Space Agency’s Copernicus Sentinel-2 bands to allow easier merging of data products, and ten new spectral bands to support emerging Landsat applications. With these improvements, Landsat Next will collect on average about 20 times more data than its predecessor, Landsat 9, and continue to provide free and open data access for all users. The Landsat Next mission successfully passed Key Decision Point A (KDP-A) and is currently in Phase A. Upcoming project studies will complete the mission design, data management and compression approaches, flight instrument requirements and architecture, and spacecraft resource definition. The mission is planned to launch in late 2030. https://landsat.gsfc.nasa.gov/satellites/landsat-next/

Black Friday is here, despite the inflation. All the developers and designers who are looking for something here is a curated list. https://github.com/trungdq88/Awesome-Black-Friday-Cyber-Monday Hurry up !!

The long awaited Dall.E 2 is here without the wait list. DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language. New users can start creating straight away. See the announcement. How much it costs? Registration is free and comes with 50 credit registration token which can be used for every time you generate something new. After first month each month will get 15 credit for free. These credits will not roll for more than a month. If you want more $15 will get you 115 credit. Paid credits will roll until one year. You own everything you create, ownership rights are same for both free and paid credits. How to use it? After registration, write your prompt in the textbar and hit 'generate' and see the AI create four beautiful picture using your description. If you like one of them you can create four more alternatives of the that picture. You can even upload your own image and modify that using prompts. There is also an edit button inside Dall.E 2. This function will let you edit the existing or uploaded image using AI. You can remove and generate background, change color or light or even combine multiple image in one. My examples 🤪 Here is a good guide for the prompt. There are few more @CG

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Frustrated by the slow evolution of the C++, Google engineers have launched a new “experimental” open source programming language, called Carbon, as a possible successor to the venerable but aging C++. The language was recently unveiled at the CPP North conference in Toronto by Google developer Chandler Carruth. Why Is It Difficult To Incrementally Evolve C++? Carruth mentioned a few points that can be summarized in two areas: Language and Bureaucracy Language Technical debt. Necessary choices that made C++ great are becoming a burden. C++ accumulated decades of technical debt. Prioritization of backward compatibility. More and more features have been added, rather than removed or replaced. While backward compatibility is important, it comes at a cost. It adds and prevents fixing the technical debt. Governance Processes. The process to improve C++ goes through a bureaucratic committee approach that prioritizes standardization above design. Limited access. Access to the committee and standard is restricted and expensive. Interests of the few. While some nations and companies are represented, many other stakeholders are not. Lengthy decision process. Decisions can take years, or not reach any definitive conclusion. You can read more about the difficulties to improve C++ on the GitHub page. Carbon Programming Language: An Experimental Successor To C++ Given the context, it seems reasonable to think of a new purpose-driven language that builds on the six goals for C++ and adds one more: Performance-critical software Software and language evolution Code that is easy to read, understand, and write Practical safety and testing mechanisms Fast and scalable development Modern OS platforms, hardware architectures, and environments Interoperability with and migration from existing C++ code Syntax Among the presented features, it is worth mentioning: Introducer keywords: fn for function, var for variable declarations Function input parameters are read-only values Pointers provide indirect access and mutation Expressions to name type The namespace at the root is always local Public members by default. The reasoning seems to be that since you will mostly read the public functions in your API, it makes sense to expose them. Type checking generics Here is an example of Carbon // Carbon: package Geometry api; // local namespace import Math; // library import class Circle { var r: f32; } fn PrintTotalArea(circles: Slice(Circle)) { var area: f32 = 0; for (c: Circle in circles) { area += Math.Pi * c.r * c.r; } Print("Total area: {0}", area); } "Hello world" in Carbon package sample api; fn Main() - > i32 { Print("Hello, world!"); return 0; } Carbon explorer Carbon getting started Vim/ Neovim extension Carbon Souces - https://levelup.gitconnected.com/googles-carbon-might-replace-c-7b634b465f51 https://www.c-sharpcorner.com/article/introducing-carbon-googles-new-programming-language/ I am more leaning towards Rust which originally backed by Mozilla foundation. I haven't found any performance comparison among C++, Rust and the new Carbon but here is a good discussion.

This is first image from NASA’s James Webb Space Telescope is the deepest and sharpest infrared image of the distant universe to date. Known as Webb’s First Deep Field, this image of galaxy cluster SMACS 0723 is overflowing with detail. Thousands of galaxies – including the faintest objects ever observed in the infrared – have appeared in Webb’s view for the first time. This slice of the vast universe covers a patch of sky approximately the size of a grain of sand held at arm’s length by someone on the ground. President Joe Biden unveiled this image of galaxy cluster SMACS 0723 during a White House event Monday, July 11. NASA The $10bn James Webb Space Telescope (JWST), launched on 25 December last year, is billed as the successor to the famous Hubble Space Telescope. It will make all sorts of observations of the sky, but has two overarching goals. One is to take pictures of the very first stars to shine in the Universe more than 13.5 billion years ago; the other is to probe far-off planets to see if they might be habitable. One of the topics to be discussed will touch on that other overarching goal: the study of planets outside our Solar System. Webb has analysed the atmosphere of WASP-96 b, a giant planet located more than 1,000 light-years from Earth. It will tell us about the chemistry of that atmosphere. WASP-96 b orbits far too close to its parent star to sustain life. But, one day, it's hoped Webb might spy a planet that has gases in its air that are similar to those that shroud the Earth - a tantalising prospect that might hint at the presence of biology. BBC Watch the live event of the full image reveal live on YouTube.

That's not all, this is a major release which requires NET 6. There's a new License Manager too 😉. ... but there will be workarounds. A new start page and a Learn Page. Geoprocessing tools will display an information tip letting you know when a selection or other filter is applied to input layers and the number of records that will be processed. You will also see tool parameter memory and autofill for commonly used tools accessed from the ribbon and context menus. Color Vision Deficiency Simulator. Then there is SAR toolset, Neo4S support to link charts and data from NoSQL, support more CAD and BIM formats etc.

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It has started! Copilot has started charging $10/month after 60-day trial. ☹️