Norman Kerle
Biographic Data
| ID | 1406266 |
|---|---|
| NAME | Norman Kerle |
| GIVEN NAMES | Norman |
| FAMILY NAME | Kerle |
| SIGNATURE | KERLE N |
| AFFILIATIONS | University of Twente |
| ORCID | 0000-0002-4513-4681 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Evaluating impact-based forecasting models for tropical cyclone anticipatory action
Impact‐based Forecast (IBF) is increasingly adopted for Anticipatory Action in disaster risk management, yet systematic comparison of the diverse models in use remains limited. To address this gap, we evaluated two existing IBF models that were developed by humanitarian agencies for tropical cyclones in the Philippines and Bangladesh: a statistical machine learning model and an elementary damage curve model. These represent contrasting approaches…
Spatial econometric modeling of socioeconomic vulnerability and flood impact
As climate-related disasters escalate, particularly in vulnerable communities in the Global South effective risk management strategies become necessary. The objective of this work was to examine the spatial dependencies between socioeconomic vulnerability and flood impacts in Southern Malawi, merging geospatial methods with econometric modeling. The analysis revealed significant spatial dependencies and spillover effects from data in the Unified …
Agent-based modelling of post-disaster recovery with remote sensing data
Disaster risk management, and post-disaster recovery (PDR) in particular, become increasingly important to assure resilient development. Yet, PDR is the most poorly understood phase of the disaster management cycle and can take years or even decades. The physical aspects of the recovery are relatively easy to monitor and evaluate using, e.g. geospatial remote sensing data compared to functional assessments that include social and economic process…
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be variable in terms of key attributes such as format, description and quality. Unsurprisingly, therefore, t…
An ontology of slums for image-based classification
Satellite Remote Sensing as a Tool in Lahar Disaster Management
At least 40,000 deaths have been attributed to historic lahars (volcanic mudflows). The most recent lahar disaster occurred in 1998 at Casita volcano, Nicaragua, claiming over 2,500 lives. Lahars can cover large areas and be highly destructive, and constitute a challenge for disaster management. With infrastructure affected and access frequently impeded, disaster management can benefit from the synoptic coverage provided by satellite imagery. Thi…
Satellite Remote Sensing as a Tool in Lahar Disaster Management
At least 40,000 deaths have been attributed to historic lahars (volcanic mudflows). The most recent lahar disaster occurred in 1998 at Casita volcano, Nicaragua, claiming over 2,500 lives. Lahars can cover large areas and be highly destructive, and constitute a challenge for disaster management. With infrastructure affected and access frequently impeded, disaster management can benefit from the synoptic coverage provided by satellite imagery. Thi…
Satellite Remote Sensing as a Tool in Lahar Disaster Management
At least 40,000 deaths have been attributed to historic lahars (volcanic mudflows). The most recent lahar disaster occurred in 1998 at Casita volcano, Nicaragua, claiming over 2,500 lives. Lahars can cover large areas and be highly destructive, and constitute a challenge for disaster management. With infrastructure affected and access frequently impeded, disaster management can benefit from the synoptic coverage provided by satellite imagery. Thi…
An ontology of slums for image-based classification
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be variable in terms of key attributes such as format, description and quality. Unsurprisingly, therefore, t…
Agent-based modelling of post-disaster recovery with remote sensing data
Disaster risk management, and post-disaster recovery (PDR) in particular, become increasingly important to assure resilient development. Yet, PDR is the most poorly understood phase of the disaster management cycle and can take years or even decades. The physical aspects of the recovery are relatively easy to monitor and evaluate using, e.g. geospatial remote sensing data compared to functional assessments that include social and economic process…
Evaluating impact-based forecasting models for tropical cyclone anticipatory action
Impact‐based Forecast (IBF) is increasingly adopted for Anticipatory Action in disaster risk management, yet systematic comparison of the diverse models in use remains limited. To address this gap, we evaluated two existing IBF models that were developed by humanitarian agencies for tropical cyclones in the Philippines and Bangladesh: a statistical machine learning model and an elementary damage curve model. These represent contrasting approaches…
Spatial econometric modeling of socioeconomic vulnerability and flood impact
As climate-related disasters escalate, particularly in vulnerable communities in the Global South effective risk management strategies become necessary. The objective of this work was to examine the spatial dependencies between socioeconomic vulnerability and flood impacts in Southern Malawi, merging geospatial methods with econometric modeling. The analysis revealed significant spatial dependencies and spillover effects from data in the Unified …
Computer Science (6 works) · Geography (6 works) · Environmental planning (4 works) · Environmental Science (4 works) · Environmental resource management (3 works) · Flood Risk Assessment and Management (3 works) · Remote sensing (3 works) · Cartography (2 works) · Disaster Management and Resilience (2 works) · Engineering (2 works)