Geospatial

"Relating to or denoting data that is associated with a particular location." (Oxford University Press, 2019)

Sources

Oxford University Press. Geospatial (2019). Link: https://en.oxforddictionaries.com/definition/geospatial

Related Content

Article

Why geospatial standards matter: Benefits and challenges of EO data standardization

Even 115 years later, the Great Baltimore Fire—which burned down much of the city of Baltimore in the United States—still carries important lessons in standardization. Firefighters from hundreds of kilometres away were sent to assist in putting out the fire, but they could do little to help because their hose couplings did not fit Baltimore’s fire hydrants – meaning, the fire hoses were not standardized. The lack of standardization turned hundreds of firefighters into spectators as the city burned (OGC, ISO & IH, 2018, p.

Interview with Victor Hertel, PhD candidate at the German Aerospace Centre

Victor Hertel is a doctoral researcher specializing in the field of environmental risks and human security. He currently works at the German Aerospace Center (DLR) on the development of (physics-informed) deep learning methods in the context of emergency response and disaster preparedness. With an academic background in aerospace engineering, he previously worked with organizations like Human Rights Watch and the United Nations Office for Outer Space Affairs’ UN-SPIDER program, using geospatial analyses to address environmental and social challenges. His primary area of interest is data-informed decision-making and policy, with a focus on practical and implementation-oriented solutions for humanitarian emergencies caused by climate shocks and conflict.

Interview with Victor Hertel, PhD candidate at the German Aerospace Centre

Victor Hertel is a doctoral researcher specializing in the field of environmental risks and human security. He currently works at the German Aerospace Center (DLR) on the development of (physics-informed) deep learning methods in the context of emergency response and disaster preparedness. With an academic background in aerospace engineering, he previously worked with organizations like Human Rights Watch and the United Nations Office for Outer Space Affairs’ UN-SPIDER program, using geospatial analyses to address environmental and social challenges. His primary area of interest is data-informed decision-making and policy, with a focus on practical and implementation-oriented solutions for humanitarian emergencies caused by climate shocks and conflict.

Capacity Building and Training Material

Data Sharing for Water Sector Organisations using Spatial Data Infrastructures

Overview

Integrated Water Resources Management requires exchange of data and information among sectors. Often data is stored in files on harddisks, CD-ROMs or DVDs. This makes it hard to find the data. In addition, metadata is often lacking, which makes it hard to evaluate the quality of the data and to reuse the data. A Spatial Data Infrastructure (SDI) can enable water sector organisations to improve the exchange of data within and among organisations.

Programming for Geospatial Hydrological Applications

Overview:

In this self-paced online course, the participants will be introduced to the Programming for Geospatial Hydrological Applications. Participants will learn an essential skill for researchers dealing with (spatial) data. With scripting participants will be able to better control analysis using command line tools. They can also automate their procedures by writing batch scripts. Furthermore, participants can process their data and make models using Python and its useful libraries

Event

Stakeholder

Margosa Environmental Solutions

Margosa develops pioneering geodata solutions using advanced open source technologies and machine learning frameworks, which enables the integration of massive environmental and GIS datasets. We offer cost-effective, scalable, and secure global data analytics platforms for government, multilateral, corporate, educational, and not-for-profit institutions. Our mission is to transform complex natural resource information into practical knowledge for decision-makers and stakeholders alike.

Person

Photo of Dr. Sawaid Abbas

Sawaid Abbas

Assistant Professor Smart Sensing for Climate and Development, GIS Centre, University of the Punjab Centre for Geographical Information, University of the Punjab

Sawaid is a spatial data scientist who works at the nexus of earth science, ecology and climate change through leveraging remote sensing, machine learning, and strong domain knowledge. His key work involves forest succession, drought, and rangelands which were accomplished through collaboration with institutions like WWF, ICIMOD, ICRAF, AFCD, and KFBG.