Scalgo

Scalgo

Softwareudvikling

Let's create space for water

Om os

SCALGO blev grundlagt for at bringe avancerede algoritmer og databehandlingsteknologi på markedet. Vores teknologi bygger på mere end 20 års forskning indenfor I/O-effektive algoritmer og geometri hos Center for Massive Data Algorithms (MADALGO) ved Aarhus Universitet og Duke University i U.S.A. Grundlæggerne af SCALGO er nogle af de førende forskere i verden indenfor disse forskningsområder. For at fortsætte udviklingen af avancerede algoritmer og teknologi til databehandling, samarbejder SCALGO stadig med førende forskningsinstitutioner og domæneeksperter. SCALGO arbejdede i begyndelsen med den danske højdemodel og har siden udvidet til alle skandinaviske lande. Dette betyder at SCALGO i dag håndterer mere end 700 milliarder højdemålinger.

Branche
Softwareudvikling
Virksomhedsstørrelse
11-50 medarbejdere
Hovedkvarter
Aarhus N
Type
Privat
Grundlagt
2009
Specialer
GIS, LIDAR, big data, algorithms, Hydrology, Flooding, Risk Mapping og planning

Beliggenheder

  • Primær

    Åbogade 15

    Aarhus N, 8200, DK

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  • Bryghusgade 8

    København K, Capital Region 1473, DK

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  • 111 Sinnaeyeok-ro

    Seoul, Jungnang-gu 02262, KR

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  • 19 Morris Ave

    Brooklyn, New York 11205, US

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Medarbejdere hos Scalgo

Opdateringer

  • Scalgo Land Cover map now in France! 🏡🌳 France is next in our steady roll-out of nationwide land cover maps. To create these maps we use Artificial intelligence (AI). "Our AI model is very powerful because it keeps learning and getting better every time we apply it," Jonas Tranberg, data scientist at Scalgo, says. "And the initial results we got for France, using a model trained on the Nordic countries and Germany, were already very accurate. The new thing we trained the model to identify is dry vegetation, since vegetation in the south of France dries out in summer to a degree that is uncommon in northern Europe." The AI model creates four land cover classes: impervious areas, bare soil (i.e., sand and gravel), shallow vegetation and dense vegetation. This output is combined with auxiliary data from the IGN (Institut national de l'information géographique et forestière). There are two land cover groups in the map, the natural and the artificial. 6 natural land cover classes: 🌱 Shallow vegetation 🌲 Dense vegetation 🌾 Field 🏜 Bare land 🪨 Bare rock 💧 Water 5 artificial land cover classes: 🛣 Paved road 🧱 Paved areas ⏳ Unpaved road 🏠 Buildings 🛤 Railway Read more about land cover mapping in the blog: https://lnkd.in/dC9xzwDC

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  • Where does the water go?💧 Spill points now spill the beans!🫘 Surface water naturally accumulates in depressions in the terrain. When a depression overflows, water leaves it through a spill point which is the lowest elevation point along the boundary of the depression. With the new spill points in Scalgo Live, you'll always know where surface water will flow next. Spill points are excellent input when exploring terrain and surface water interactions. They provide critical insights into flow patterns, helping to identify optimal solutions for flood mitigation, wetland creation, and other surface water challenges. Learn more about the new spill points in the blog: https://lnkd.in/d5K_SBdU

  • Discover Scalgo Live in Polish 🌍 Are you new to Scalgo Live and eager to explore its capabilities? Join our Polish webinar, Zarządzanie danymi wysokościowymi w Scalgo Live, December 4, 2024 13:00-14:00. At this webinar you will learn how to: ✏️ Effectively manage elevation data using Workspaces. 📊 Import different types of elevation data. 💧 Perform analyses based on new conditions. Sign up here: https://lnkd.in/dnnpxdbV

  • Protecting and restoring farmland 🌱 Devon Wildlife Trust's David Thomas shares his insights on creating a wetlands area on Farrantshayes farm in Devon County, UK. The result is an area that improves water quality and slows down water flow, ultimately restoring the area's habitat as well as introducing natural flood management. Discover how David used Scalgo Live to develop a design that was inspired by beaver dams and used 'ground truthing' in the early stages of the process. You can read the full story (with images of the completed project) on our website: https://lnkd.in/dZrAgQK2

  • Users love Scalgo Live for enabling collaboration. So we've worked to make it even easier to collaborate with colleagues, partners and clients. Check out the new way of sharing projects and model results in Scalgo Live, and also try out the new view-only sharing mode. Don't have an account? Visit scalgo.com for your free trial (and yes, this does include full access).

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    Say hello to our new Scalgo team member! We're very happy to announce that Leanne Amodeo has joined us as Head of Content and Marketing. She has 20+ years international experience working across communications, content, marketing and media, specialising in architecture and design. As a consultant, advisor, writer and editor she has worked for leading government agencies, publishing houses, universities, creative practices and organisations. Leanne holds a Bachelor of Arts (Honours) from Flinders University and a Master of Arts (Creative Writing) from University of Adelaide. "I am thrilled to be working with such a talented bunch of people at an incredible software company enabling engineers, architects and planners to create blue water solutions that include mitigating flooding, restoring natural environments and encouraging biodiversity. I will be building our content and marketing with a view to further growing the brand's visibility and reputation, especially with our recent entry into the US market. It's an exciting time for the company and for our product, Scalgo Live, and I am very much looking forward to the journey ahead." Give Leanne a warm welcome! 😊

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  • Free webinars for beginners 🌍 Whether you're new to Scalgo Live or want to refresh your skills, we've got you covered! This October, we are hosting two webinars to get you started. 💧 Webinar 1: Discover Scalgo Live's data, national analyses and interactive planning tools. ✏️ Webinar 2: Learn how to create a workspace and follow a step-by-step guide to start editing data. Sign up here: Getting started 1: Tools and Analyses: https://lnkd.in/d9SU_esX Getting started 2: Workspaces and Modelspaces: https://lnkd.in/dkCAavpw

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