Sendai: Flood mapping in Ecuador based on Sentinel-1 data

Flood events cause enormous damages and losses which are only poorly documented in many areas of the world. Because of this, the Sendai framework for disaster risk reduction aims to establish a set of standardized indicators to represent the impact of natural disasters on a yearly basis. The VALE project (Development and VALidation of earth […]

HERMOSA Bulletin: The evolution of the HERMOSA project

In 2016 the European Commission formulated a Space Strategy for Europe which prompted the European Space Agency (ESA) in 2017 to put out a tender requesting concepts to utilize space assets, i.e. data and services from navigation and earth observation satellites, to address food security issues in the context of the Sustainability Development Goal (SDG) […]

HERMOSA Feature-of-the-Week: Stakeholder matchmaking using the module “Identify & Connect”

Ecosystem restoration is a complex, multi-stakeholder process. Not one organisation alone will be successful when tackling the planting of trees, the restoration of watersheds, the protection of mangroves, the establishment of agro-forestry systems, the protection of biodiversity and the revitalization of wetlands to name but a few topics related to ecosystem restoration. On the one […]

actinia workshop for GFOSS and GEAM

As part of the agreement between the Italian Association for Free Geographic Information (GFOSS.it) and the Italian Association for Geo-resources and Environment (GEAM), we hosted a workshop on actinia on 12 March 2021 with almost 50 participants. In this course we briefly presented some basics on geospatial and EO data and gave an introduction to […]

HERMOSA Bulletin: UN Decade on Ecosystem Restoration SPECIAL

5 users per SDG get HERMOSA professional level for unbelievably low prices – hurry up, a one time offer!HERMOSA is an internet based platform accessible via https://hermosa.earth which supports the ecosystem restoration process through the use of geo and satellite data. It is the first of its kind to combine matchmaking between stakeholders, supporting the […]

Guest lecture on “Medical Remote Sensing and GIS” at the University of Bonn

On 18 Jan. 2021 mundialis was invited to give a guest lecture on “Medical Remote Sensing and GIS” as part of the Geomatics Master Orientation Course at the GIUB at the University of Bonn, represented by Dr. Markus Neteler. mundialis was asked by Prof. Dr. Greve at the suggestion of his student T. Cürten. Mr […]

MapScaping podcast: GRASS GIS bekommt wahrscheinlich nicht die Aufmerksamkeit, die es verdient

In Folge 86 des MapScaping Podcast spricht Markus Neteler über die Funktionalität (die topologische Vektor-Engine, 2D- und 3D-Rasteranalyse, Bildbearbeitung und verfügbare Programmierschnittstellen) und für wen GRASS GIS ist. Markus, Mitgründer von mundialis ist auch der Vorsitzende des GRASS GIS Projektlenkungsausschusses. Viel Spaß mit dem Podcast und dem Transkript!

Deutschland 2019 – Landbedeckung auf Basis von Sentinel-2 Daten

Im Rahmen des Projekts Inwertsetzung von Copernicus-Daten für die Raumbeobachtung (incora, BMVI mFund Förderkennzeichen: 19F2079C) wurde ein automatisches Verfahren entwickelt, um jährliche Landbedeckungsklassifikationen für ganz Deutschland zu erstellen. Die Klassifikationen verfügen über eine räumliche Auflösung von 10m x 10m (Pixelgröße) und bilden die Klassen Bebaute Fläche, Grasland, Wald, Landwirtschaft, Vegetationsloser Boden und Wasser ab. Als […]

Neuer Artikel zur anwenderfreundlichen Bereitstellung von Klima- und Wetterdaten (FAIR mFund Projekt)

Access to high quality weather and climate data is crucial for a wide range of societal and economic issues. It allows optimising industrial processes, supports the identification of potential risks related to climate change or allows the development of corresponding adaptation and mitigation strategies. Although such data is freely available through Germany’s national meteorological service […]