A rapid assessment using remote sensing of windblow damage in Irish forests following Storm Darwin.

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Irish Forestry

• Publication date

  2016-11-01

• Fields of study

  Geography, Environmental Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Impact of Storm Darwin on Ireland: description of the event and assessment of weather forecasts

  2015cited by this paper
• Open Source Geospatial Tools: Applications in Earth Observation

  2014cited by this paper
• More hurricanes to hit western Europe due to global warming

  2013cited by this paper
• Rapid assessment of wind storm-caused forest damage using satellite images and stand-wise forest inventory data

  2013cited by this paper
• Automatic Storm Damage Detection in Forests Using High-Altitude Photogrammetric Imagery

  2013cited by this paper
• Wind as a natural disturbance agent in forests: a synthesis

  2013cited by this paper
• Increasing Spatial Detail of Burned Scar Maps Using IRS-AWiFS Data for Mediterranean Europe

  2012cited by this paper
• Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps

  2012cited by this paper
• Destructive storms in European forests: past and forthcoming impacts.

  2010cited by this paper
• Combining satellite imagery with forest inventory data to assess damage severity following a major blowdown event in northern Minnesota, USA

  2009cited by this paper
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition

  2009cited by this paper
• Satellite remote sensing as a tool for monitoring vegetation seasonality

  2008cited by this paper
• Classification of Images Using Support Vector Machines

  2007cited by this paper
• Mapping deciduous forest ice storm damage using Landsat and environmental data

  2004cited by this paper
• Characterising windthrown gaps from fine spatial resolution remotely sensed data

  2000cited by this paper
• The influence of wind on forestry in Ireland.

  1998cited by this paper
• Textural Features for Image Classification

  1973cited by this paper

• Monitoring the rehabilitation process of the windthrow area using UAS images and performance comparison of Sentinel-2A based different vegetation indexes

  2025cites this paper
• Nowcasting from space: tropical cyclones’ impacts on Fiji’s agriculture

  2023cites this paper
• Sensitivity Analysis of the DART Model for Forest Mensuration with Airborne Laser Scanning

  2020cites this paper
• Invisible losses. What a catastrophe does to forest owners’ identity and trust in afforestation programmes

  2019cites this paper
• Understanding and managing windthrow

  2018cites this paper