Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning

Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping

(2020) Peter Potapov et al.   Remote Sensing

Rapid Detection of Windthrows Using Sentinel-1 C-Band SAR Data

(2019) Marius Rüetschi et al.   Remote Sensing

Uncovering Ecological Patterns with Convolutional Neural Networks

(2019) Philip G. Brodrick et al.   TRENDS IN ECOLOGY & EVOLUTION

Applications for deep learning in ecology

(2019) Sylvain Christin et al.   Methods in Ecology and Evolution

Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data

(2019) Zayd Mahmoud Hamdi et al.   Remote Sensing

Deep learning for environmental conservation

(2019) Aakash Lamba et al.   CURRENT BIOLOGY

Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery

(2019) Teja Kattenborn et al.   Scientific Reports

Harnessing Deep Learning in Ecology: An Example Predicting Bark Beetle Outbreaks

(2019) Werner Rammer et al.   Frontiers in Plant Science

Detection of old scattered windthrow using low cost resources. The case of Storm Xynthia in the Vosges Mountains, 28 February 2010

(2019) Ionel Haidu et al.   Open Geosciences

Road Extraction by Deep Residual U-Net

(2018) Zhengxin Zhang et al.   IEEE Geoscience and Remote Sensing Letters

Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery

(2018) Mohammad Rezaee et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory

(2018) Elias Ayrey et al.   Remote Sensing

Poleward migration of the destructive effects of tropical cyclones during the 20th century

(2018) Jan Altman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Patterns and drivers of recent disturbances across the temperate forest biome

(2018) Andreas Sommerfeld et al.   Nature Communications

The extent of mangrove change and potential for recovery following severe Tropical Cyclone Yasi, Hinchinbrook Island, Queensland, Australia

(2018) Emma Asbridge et al.   Ecology and Evolution

Natural disturbances are spatially diverse but temporally synchronized across temperate forest landscapes in Europe

(2017) Cornelius Senf et al.   GLOBAL CHANGE BIOLOGY

Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe

(2017) Cornelius Senf et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System Imagery

(2017) Martin Mokroš et al.   Forests

Windthrow Detection in European Forests with Very High-Resolution Optical Data

(2017) Kathrin Einzmann et al.   Forests

A Novel Approach for Coarse-to-Fine Windthrown Tree Extraction Based on Unmanned Aerial Vehicle Images

(2017) Fuzhou Duan et al.   Remote Sensing

Deep Learning for Health Informatics

(2017) Daniele Ravi et al.   IEEE Journal of Biomedical and Health Informatics

Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images

(2016) Weijia Li et al.   Remote Sensing

Deep learning

(2015) Yann LeCun et al.   NATURE

Object-based change detection in wind storm-damaged forest using high-resolution multispectral images

(2014) N. Chehata et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Disturbances in deciduous temperate forest ecosystems of the northern hemisphere: their effects on both recent and future forest development

(2013) Anton Fischer et al.   BIODIVERSITY AND CONSERVATION

High-Resolution Global Maps of 21st-Century Forest Cover Change

(2013) M. C. Hansen et al.   SCIENCE

Automatic Storm Damage Detection in Forests Using High‑Altitude Photogrammetric Imagery

(2013) Eija Honkavaara et al.   Remote Sensing

Wind as a natural disturbance agent in forests: a synthesis

(2012) S. J. Mitchell   FORESTRY

Disturbance and landscape dynamics in a changing world1

(2010) Monica G. Turner   ECOLOGY