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

Object-Oriented Method Combined with Deep Convolutional Neural Networks for Land-Use-Type Classification of Remote Sensing Images

(2019) Baoxuan Jin et al.   Journal of the Indian Society of Remote Sensing

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

(2019) Marius Rüetschi et al.   Remote Sensing

Large Scale Palm Tree Detection In High Resolution Satellite Images Using U-Net

(2019) Maximilian Freudenberg et al.   Remote Sensing

Mapping Forest Type and Tree Species on a Regional Scale Using Multi-Temporal Sentinel-2 Data

(2019) Agata Hościło et al.   Remote Sensing

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

Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

(2018) Mathias Wessel et al.   Remote Sensing

Forest disturbances under climate change

(2017) Rupert Seidl et al.   Nature Climate Change

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

Horizontal accuracy and applicability of smartphone GNSS positioning in forests

(2016) Julián Tomaštík et al.   FORESTRY

Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment

(2014) T. F. Keenan et al.   ECOLOGICAL APPLICATIONS

A Statistical Framework for Near-Real Time Detection of Beetle Infestation in Pine Forests Using MODIS Data

(2014) A. Anees et al.   IEEE Geoscience and Remote Sensing Letters

Landsat remote sensing of forest windfall disturbance

(2014) Matthias Baumann et al.   REMOTE SENSING OF ENVIRONMENT

Rapid assessment of wind storm-caused forest damage using satellite images and stand-wise forest inventory data

(2013) D Jonikavičius et al.   iForest-Biogeosciences and Forestry

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

(2013) Eija Honkavaara et al.   Remote Sensing

Laser Scanning in Forests

(2012) Juha Hyyppä et al.   Remote Sensing

Post-hurricane forest damage assessment using satellite remote sensing

(2009) Wanting Wang et al.   AGRICULTURAL AND FOREST METEOROLOGY