#geospatial technology

[bettreworld]

Space Tech for Weighing Trees | Nature IS | Episode 102 with Florian Reber

[itiltlabs]

The Evolving Role of Geospatial Analysis in Urban Landscape

Managing this rapid urbanization requires data-driven planning and policymaking to build inclusive, resilient, and environmentally responsible cities. This is where geospatial analysis enters the picture. By providing granular insights into the spatial dynamics shaping urban landscapes, geospatial tools allow planners and city leaders to optimize infrastructure, services, and quality of life across neighborhoods.

Read the full article here.

[data-science-courses-in-india]

Beyond Maps: Discover the Realm of Geospatial Technology Programs

Have you ever wondered how maps are created and updated? How satellite images are captured and analyzed? How location-based services are developed and delivered? If you are fascinated by the world of spatial data and its applications, then you might be interested in pursuing a career in geospatial technology.

Geospatial technology is a broad term that encompasses various tools and techniques that collect, store, process, visualize, and communicate spatial information. Some of the most common geospatial technologies are:

Geographic Information Systems (GIS): GIS is a software system that allows users to create, edit, manipulate, analyze, and display spatial data in the form of maps, charts, tables, and graphs. GIS can be used for a wide range of purposes, such as urban planning, environmental management, disaster response, business intelligence, and more.

Remote Sensing: Remote sensing is the science of acquiring information about the Earth’s surface and atmosphere from a distance, using sensors mounted on satellites, aircrafts, drones, or balloons. Remote sensing can provide valuable insights into various phenomena, such as land cover, vegetation, climate change, natural hazards, and more.

Global Positioning System (GPS): GPS is a satellite-based navigation system that provides accurate location and time information to users anywhere on the planet. GPS can be used for various applications, such as navigation, tracking, surveying, mapping, and more.

Geospatial Data Science: Geospatial data science is the application of advanced statistical and computational methods to extract meaningful insights from large and complex geospatial datasets. Geospatial data science can help solve challenging problems in various domains, such as health, agriculture, transportation, security, and more.

If you want to learn more about these exciting geospatial technologies and how they can transform the world we live in, then you should consider enrolling in one of the many geospatial technology programs offered by various institutions across the world.

One of the best places to pursue a geospatial technology program is India. India has a rich history and tradition of excellence in geospatial research and innovation. India is also home to some of the leading geoinformatics colleges in India that offer high-quality education and training in geospatial technology.

One of the most popular questions among aspiring geospatial professionals is: what is geoinformatics course? Geoinformatics is a multidisciplinary field that integrates geospatial technology with information technology to create innovative solutions for spatial problems. A geoinformatics course typically covers topics such as:

Fundamentals of geospatial technology

Spatial data acquisition and management

Spatial data analysis and modeling

Spatial data visualization and communication

Geospatial applications and case studies

A geoinformatics course can prepare you for a rewarding career in various sectors, such as government, industry, academia, or non-governmental organizations. You can also pursue further studies or research in geoinformatics or related fields.

If you are interested in pursuing a geoinformatics course in India, then you should know about the M.Sc geoinformatics eligibility criteria. The M.Sc geoinformatics eligibility criteria vary from institution to institution, but generally include:

A bachelor’s degree in science, engineering, or related fields from a recognized university

A minimum aggregate score of 50% or equivalent in the qualifying examination

A valid score in an entrance test conducted by the respective institution or a national level test such as GATE or NET

One of the best geoinformatics colleges in India that offers an M.Sc geoinformatics program is the Symbiosis Institute of Geoinformatics (SIG). SIG is a premier institute that provides state-of-the-art facilities and faculty for imparting quality education and training in geoinformatics. SIG also offers various short-term courses and workshops on geospatial technology for working professionals and students. If you want to explore the realm of geospatial technology and become a part of the growing geospatial community in India and abroad, then you should consider applying to SIG or any other reputable geoinformatics college in India. You will not only gain valuable knowledge and skills in geospatial technology but also open up new horizons of opportunities and possibilities for your future.

[govindhtech]

Geospatial Reasoning: New Approach To AI Spatial Analysis

How artificial intelligence is improving scientific research for practical benefit.

Geospatial reasoning gives intelligent maps a voice and cognitive process. You can ask it simple questions like a friend.

Google research teams employ AI to answer basic scientific questions and study quantum computing, geospatial science, biological science, and neurology.

Artificial intelligence has historically driven scientific progress at Google, and the current rate is unmatched. AI's advancements have accelerated and expanded the "magic cycle" of research from breakthrough to practical impact.

AI boosts human creativity. Google teams are using AI to answer basic scientific questions and broaden the range of possibility, yielding new insights into life and innovative solutions to humanity's biggest issues. To accelerate scientific discoveries, collaborate with academics and industry. It also gives partners all technologies and instruments for study.

Recent Google Research findings in these four areas have major scientific and social ramifications.

Improving disease treatment with biological science

AI's promise to democratise science, personalise medicine, and expand biological and medical research fascinates us. This AI co-scientist wants to accelerate biomedical therapy discovery. This multi-agent system uses AI's ability to synthesise information and perform complex reasoning to help scientists produce fresh research ideas and hypotheses using plain language.

A multimodal version of AMIE, a medical diagnostic dialogue AI agent, was published in Nature. It can interpret visual medical data for more accurate diagnosis. AMIE is based on MedPaLM and other medical language models.

Using embedding models for digital pathology, dermatology, and chest x-rays, the developers created TxGemma, a set of open models to improve therapeutic development. To help developers build medical AI apps, it keeps supporting Health AI Developer Foundations.

Genomic research is also used to diagnose rare disorders and investigate genetic susceptibilities. Researchers can correlate genomic variants with REGLE, an unsupervised deep learning algorithm. In collaboration with Personalised Pangenome References, researchers released new DeepVariant models. When analysing genomes with many ancestries, these models reduce errors by 30%.

Neuroscience research is improving brain understanding

Have also progressed brain science and connectomics in the previous decade. The first method for mapping neurones and their connections in brain tissue using commonly available light microscopes, LICONN, was published in Nature yesterday by Google Research and ISTA. LICONN will enable connect omics research in more labs worldwide.

In collaboration with Harvard and HHMI Janelia, the developers released the Zebrafish Activity Prediction Benchmark (ZAPBench) beyond neural connections. Over 70,000 larval zebrafish brain neurones were recorded for this benchmark. Scientists can now study the relationship between dynamic neural activity and structural circuitry in a vertebrate brain. The dataset and benchmark are publicly available to help neuroscientists model brain activity more accurately.

In collaboration with Princeton University, NYU, and HUJI, investigations examined the similarities and differences between deep language models and the human brain in natural language processing. This study suggests that deep learning models may offer a new computational framework for brain neuronal code decipherment.

Addressing global concerns via geospatial reasoning

Google Research speeds up geographical problem-solving by making important information more accessible. The first FireSat satellite was launched to fight wildfires. The high-resolution data, updated globally every 20 minutes to build the constellation to over 50 satellites, will help scientists comprehend wildfire propagation and emergency responders notice flames early. Companies have improved climate resilience and crisis response with Flood Forecasting and WeatherNext AI models.

The new Geospatial Reasoning research project uses generative AI and geospatial foundation models to locate actionable knowledge using a conversational interface. It builds on prior Population Dynamics and trajectory-based mobility core models, as well as weather, floods, wildfires, Open Buildings, and SKAI models. Geospatial reasoning benefits public health, integrated business planning, urban planning, climate research, and others.

Quantum computing nears practicality

For over ten years, it has been working towards constructing huge quantum computers that can solve impossible problems. This Willow chip, with mistake correction and cutting-edge performance, is a milestone. On World Quantum Day, stressed its progress towards practical applications.

In collaboration with Sandia National Laboratories, researchers found that a quantum algorithm might better simulate sustained fusion processes. This could enable fusion energy with its large-scale clean energy potential. It demonstrated a breakthrough hybrid method to quantum simulation that opens the door to future scientific discoveries that will advance quantum research.

AI's potential is being realised in several sciences. Developers will keep asking the most critical questions and solving intractable issues to find scientific discoveries that can aid billions.

[datastring]

Geospatial Solutions Market Set to Hit $2401.1 Billion by 2035

The global market for Geospatial Solutions is expected to experience significant growth, with industry revenue projected to rise from $488.0 billion in 2023 to $2401.1 billion by 2035. This reflects a compound annual growth rate (CAGR) of 14.2% from 2023 to 2035.

Detailed Analysis - https://datastringconsulting.com/industry-analysis/geospatial-solutions-market-research-report

Geospatial solutions are essential across a wide range of applications, including precision agriculture, urban planning, logistics and transportation, as well as defense and security. The market's growth is primarily driven by the increasing adoption of geospatial technologies in key sectors such as agriculture, urban development, and defense.

Competitive Landscape and Market Leadership

The Geospatial Solutions market is highly competitive, with several key players driving innovation and market penetration. Leading companies in the market include:

Esri

Hexagon Geospatial

Trimble

Topcon

HERE Technologies

Fugro

TomTom

Geo-Insights

Blue Marble Geographics

SuperMap

Mapbox

Cyient

These companies are at the forefront of advancing geospatial technologies, such as artificial intelligence (AI), machine learning, and real-time data analytics, which are helping to meet the growing demand for smarter and more efficient solutions across industries.

Key Growth Drivers and Market Opportunities

The growth of the Geospatial Solutions market is fueled by several factors:

Precision Agriculture: The growing need for efficient land use and sustainable farming practices is driving the demand for geospatial solutions in agriculture, enabling better crop management and resource allocation.

Urbanization and Smart City Initiatives: The increasing push for smart city development and urban planning requires geospatial technologies to manage infrastructure, transportation, and urban environments more efficiently.

Defense and Security: Geospatial solutions are playing a crucial role in defense and security applications, including surveillance, reconnaissance, and situational awareness.

Integration of AI and Machine Learning: The application of AI and machine learning in geospatial data analysis is enhancing the capabilities of these solutions, enabling real-time insights and decision-making.

Demand for Real-time Location Data: The growing reliance on real-time data in various sectors, including logistics, transportation, and emergency management, is driving the adoption of geospatial technologies.

Regional Dynamics and Supply Chain Evolution

North America and Asia-Pacific are the dominant regions in the Geospatial Solutions market. Both regions benefit from strong technological infrastructure, high levels of investment, and significant demand from key industries. However, emerging markets in India, Brazil, and South Africa are becoming increasingly important for market growth, driven by rapid urbanization, industrialization, and the adoption of new technologies.

Despite challenges such as high initial investments, data privacy concerns, and integration complexities, the geospatial solutions market’s supply chain—from data providers and software developers to system integrators and service providers—is expected to evolve to meet these challenges. Companies are also focusing on strategic advancements in developing regions to diversify revenue streams and expand their total addressable market (TAM).

About DataString Consulting

DataString Consulting is a leading provider of market research and business intelligence solutions, offering a comprehensive range of services for both B2C and B2B markets. With over 30 years of combined industry experience, DataString specializes in delivering actionable insights that support strategic decision-making.

The company’s expertise spans multiple industries, providing tailored research services in strategy consulting, opportunity assessment, competitive intelligence, and market forecasting. DataString Consulting helps businesses navigate complex markets and capitalize on emerging trends to achieve long-term success.

[mappingtomorrow]

This in-depth exploration of Geographic Information Systems with Artificial Intelligence (GeoAI) shows how this revolutionary technology is transforming spatial analysis across industries. From urban planning and disaster management to precision agriculture and retail intelligence, GeoAI combines machine learning, deep learning, computer vision, and spatial data to solve complex geographic problems with unprecedented accuracy and efficiency. This post covers the three core pillars of GeoAI: spatial data infrastructure, AI algorithms, and computational resources, while tracing its evolution from manual mapping to today's autonomous systems. Readers will discover key technologies driving innovation, including computer vision for earth observation, NLP for geographic information retrieval, and reinforcement learning for routing optimization. I request you to have a read and engage with the post, mentioning what do you think where will the Geospatial Industry be in the upcoming years until 2030. Do share it within your professional networks and spread the word of GeoAI and how it is transforming the Geospatial industry.

[youthchronical]

Trump halts sharing satellite imagery with Ukraine after cutting military aid and intelligence sharing - The Times of India

The United States has stopped sharing satellite imagery with Ukraine, a Pentagon agency confirmed to New York Times on Friday.The National Geospatial-Intelligence Agency (NGA) said the suspension was temporary, but it comes at a critical time for Ukraine, which relies on these images to monitor Russian troop movements and assess battlefield damage.Maxar Technologies, a US-based company that…

[cognitivejustice]

In Japan, for example, geospatial information helps assess flooding risks within the Arakawa River area of Tokyo, which are subsequently displayed on the Arakawa 3D Flood Hazard Map. This information includes data such as maximum potential inundation depths and flood retention periods, which are supplemented by live updates from cameras along the river. The map allows residents to assess the extent to which their home or workplace will be flooded, enabling them to prepare appropriate evacuation plans. Similar technologies have been implemented in the Republic of Korea. Forming part of the Flood Risk Information System, the Urban Flood Map predicts inundation areas and flood depths, accounting for rainfall as well as the capacities of flood management infrastructure. 

Meanwhile, in China, the vulnerability assessment framework for coastal storm surge disasters targets another climate-related challenge. As sea levels rise and extreme weather events intensify, coastal areas are at greater risk of storm surges: the abnormal rise in seawater level caused by storms. The new framework developed by the Chinese Academy of Sciences integrates fifteen indicators – some of them gathered with the help of satellites – to identify provinces, cities, and in some cases even city blocks at greater risk of storm surges. Doing so allows for better preparation and more effective emergency response in the case of disaster.

As part of adaptation efforts, some countries are also developing climate models that make data on the impacts of climate change accessible to the public, thus helping to determine potential threats and allocate resources to manage risk. The Korea Meteorological Administration, for example, has launched the Climate Change Status Map, which allows users to view and analyze historical data for different climate indicators as well as future projections for specific areas. These indicators include temperature and various extreme weather events such as heatwaves and cold waves. In a similar vein, the Russian Federation is using a combination of satellite and land-based measurements to assess the impacts of climate change. This approach provides more insight into the relationship between changes in land cover and biomass, as observed from space, and soil carbon content and greenhouse gas emissions, as observed on land. 

Innovation is thriving across the whole of Asia and the Pacific, as highlighted by the 100 space-based solutions in UN ESCAP’s 2024 Compendium on Geospatial Applications for Sustainable Development.

[atom-aviation32]

Why Atom Aviation is the Leading LiDAR Survey Company in India

In today’s fast-paced world, the demand for precise and reliable data is growing across various industries. One of the most advanced technologies transforming survey work is LiDAR (Light Detection and Ranging). When it comes to LiDAR survey services in India, Atom Aviation stands out as a top choice.

What is LiDAR Surveying?

LiDAR is a cutting-edge technology that uses laser light to measure distances and create high-precision, 3D representations of landscapes, structures, and other objects. The accuracy of LiDAR makes it a crucial tool in industries such as construction, agriculture, forestry, and urban planning.

Why Choose Atom Aviation for LiDAR Surveying?

Atom Aviation, a renowned LiDAR survey company in India, has established a solid reputation for offering top-notch surveying services. Here are a few reasons why Atom Aviation is the preferred choice for businesses seeking reliable LiDAR surveys:

1. Expertise and Experience

Atom Aviation has years of experience in delivering precise and comprehensive LiDAR data. Their team of skilled professionals is well-versed in using advanced drone technology, ensuring that surveys are completed efficiently and accurately. Whether it’s large-scale topographic mapping or detailed infrastructure analysis, Atom Aviation is equipped to handle it all.

2. State-of-the-Art Technology

As a leader in the field, Atom Aviation leverages the latest drone-based LiDAR systems that capture data quickly and accurately. These high-tech systems can cover vast areas and provide detailed topographic information, which is essential for making well-informed decisions in a wide range of industries.

3. Cost-Effective Solutions

Atom Aviation not only offers high-quality LiDAR surveys but also ensures that their services are budget-friendly. By using drones for LiDAR surveys, they reduce the need for costly manual data collection methods, ultimately saving businesses time and money.

4. Quick Turnaround Time

One of the major benefits of using drone-based LiDAR is the speed at which data can be collected and processed. Atom Aviation guarantees a fast turnaround time without compromising on the quality of the results. This makes it an excellent option for businesses that need survey results promptly.

5. Wide Range of Applications

Whether you’re in the construction industry, need forest mapping, or are working on a land development project, Atom Aviation provides LiDAR surveying solutions tailored to your specific needs. The versatility of their services ensures that businesses across various sectors can benefit from accurate, actionable data.

Industries Benefiting from LiDAR Surveying

Construction: LiDAR data helps with precise mapping and 3D modeling, aiding in construction planning and project management.

Agriculture: LiDAR surveys can assist in crop monitoring, soil health analysis, and irrigation planning.

Forestry: LiDAR can create detailed maps of forests, identifying tree heights, density, and canopy coverage.

Urban Planning: Cities can utilize LiDAR data for infrastructure mapping, flood risk assessments, and urban development projects.

Why LiDAR Surveys are Essential

Traditional surveying methods often require manual labor and long hours, making them less efficient and more prone to errors. LiDAR technology, however, provides highly accurate and reliable data while reducing the time and cost involved. By choosing a LiDAR survey company in India like Atom Aviation, businesses can enjoy faster, more precise results that are essential for the success of any project.

Conclusion

In a world where precision and efficiency are crucial, Atom Aviation remains one of the most trusted names in LiDAR surveying in India. Their innovative approach, advanced technology, and commitment to delivering high-quality results make them the go-to company for businesses seeking reliable LiDAR survey solutions.

If you are looking to take your project to the next level, don’t hesitate to contact Atom Aviation today and explore how their LiDAR surveying services can help you achieve accurate, actionable insights.

[iammannyj]

Harnessing the Power of GIS Data for SEO: Transforming Digital Marketing Strategy

Harnessing the Power of GIS Data for SEO: Transforming Digital Marketing Strategy

Having recently completed comprehensive training in Geospatial Data Collection, Analysis & Interpretation using GIS Technology, I’ve discovered fascinating intersections between my established background in SEO and digital marketing and the powerful capabilities of geospatial analysis. This educational journey, covering everything from fundamental GIS concepts to advanced geospatial analysis and…

[cyberswift-story]

GIS-Based Solutions for Efficient Telecom Network Management

The telecom industry is undergoing rapid transformation, driven by the increasing demand for seamless connectivity, efficient network management, and improved customer experience. As networks become more complex, the need for innovative solutions to manage these networks has never been greater. Geographic Information System (GIS)-based solutions have emerged as a game-changer in the telecom sector, offering a robust platform for managing, analyzing, and visualizing network data. This blog explores how GIS-based solutions can revolutionize telecom network management, ensuring efficiency and reliability.

Learn more at https://www.cyberswift.com/blog/telecom-utility-solution-a-brief-overview/

[insteptechnologies]

GIS App Development Services by InStep Technologies

InStep Technologies specializes in GIS app development, offering tailored solutions to meet your geospatial needs. Our expert team creates innovative GIS applications that provide accurate mapping, analysis, and visualization capabilities. Enhance your projects with our cutting-edge GIS technology and comprehensive development services.

[newspatron]

Airtel & Google Cloud Soar: 10 Ways Businesses Benefit

Have you explored the Airtel Google Cloud partnership yet? Share your thoughts and questions below!

A New Chapter for Indian Businesses: The Airtel and Google Cloud Alliance Airtel #GoogleCloud #CloudComputing #AI #India #Business #Technology #Partnership #Innovation #Growth #GeospatialAnalytics #VoiceAnalytics #MarketingTechnology #IoT #DigitalTransformationCloud Computing: The Engine Powering India’s Business BoomAirtel: Empowering Indian BusinessesGoogle Cloud: Global Innovation, Local…

[govindhtech]

Google BigQuery Geospatial: Analyze Location Data In Cloud

Use Google's new geographic datasets to improve BigQuery analysis.

Geospatial Google BigQuery

Today at Google Cloud Next 25, it unveils Earth Engine and Google Maps Platform geospatial analytics datasets and functionalities. BigQuery, Google's data-to-AI technology, integrates them flawlessly. BigQuery users know the value of data-driven insights, and these new features will let you analyse data from additional sources and leverage geographic data to make faster, more informed choices.

Geographical analytics trends and issues

Due to generative AI, hyper-localization, and strong analytical tools, geospatial analytics is increasing quickly. Despite these developments, many sectors underuse geospatial analytics. Finding fresh, accurate, and full data in an analysis-ready format takes time and resources. Second, because various data sources contribute unpredictability, firms struggle with integration and analysis, requiring extensive planning and transformation.

Finally, building geospatial analytics applications requires expertise and consistency.

How new geospatial capabilities solve these problems

The trustworthy geospatial technology Google Maps Platform improves the lives of over 2 billion users with over 10 million websites and apps. Over the past 15 years, Earth Engine has provided data scientists with over 90 petabytes of satellite images and geospatial data.

Customers want greater insights from the vast geographical data to improve business and sustainability choices. We are integrating a few Google Maps Platform datasets and Earth Engine datasets and analytic tools directly into BigQuery for the first time. This means data analysts and decision-makers may now use BigQuery to access and analyse fresh, vast, and global geospatial data.

These new datasets and capabilities allow:

Novel perspectives, trusted tools: Use Google's new global geospatial data without remote sensing or GIS expertise.

Integration of geographical data with your data yields fresh insights.

Easy data access and discovery: No more data digging. Geospatial data may be examined like other BigQuery datasets.

The first integration of analysis-ready pictures and datasets from Earth Engine, Places, and Street View into BigQuery processes allows customers to leverage data clean rooms to extract insights without releasing raw data.

Imagery insights

The first Experimental Imagery Insights dataset for the US, Canada, UK, and Japan speeds up infrastructure asset management using Street View data's global scale, Vertex AI-powered analysis, and BigQuery's capacity.

This combo lets you utilise Street View pictures to quickly recognise and automatically assess infrastructure assets like road signs and utility poles, with the option to add more attribute types.

Street View photos can assist municipal planners estimate annual road sign repair costs by detecting the quantity and location of sign maintenance needs. Data-driven decision-making, process optimisation, and planning and operational efficiency result from integration.

Locations Analysis

Places Insights provides monthly Google Maps data on over 250 million companies and places to help you make smarter business decisions. This Places dataset provides insights beyond POI information like wheelchair accessibility and pricing range. You will learn more about millions of companies and attractions, such as the location of most coffee shops in a zip code.

BigQuery's data clean room can mix Places data with proprietary data to disclose more about certain places. Understand local market dynamics and find the ideal store sites based on complementary companies' locations are typical use cases.

Roads Management Advice

Roads Management Insights helps public and road authorities improve road network efficiency and safety through data-driven traffic management. Past data analysis reveals traffic trends on your road networks, likely slowness causes, and required action. With real-time monitoring, authorities can respond to sudden speed drops, identify the source, and maybe redirect traffic in seconds.

BigQuery Earth Engine

Earth Engine with BigQuery brings Earth Engine's best geographic raster data analytics to BigQuery. This functionality allows SQL users to do comprehensive geospatial analysis of satellite photography datasets without remote sensing expertise.

ST_REGIONSTATS(), a new BigQuery geography function, reads and analyses geospatial raster data in a given region using Earth Engine. You can now access more Earth Engine datasets from BigQuery to Analytics Hub's Earth Engine datasets, making data access and discovery easier.

Google's geospatial analytics datasets in BigQuery can help make business and environmental decisions like optimising infrastructure operations and maintenance, enabling sustainable sourcing with global supply chain transparency, improving road safety and traffic, and more.