Assessment of Sentinel-2 Images, Support Vector Machines and Change Detection Algorithms for Bark Beetle Outbreaks Mapping in the Tatra Mountains

Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping

(2021) Anca Dabija et al.   Remote Sensing

Classification of Nemoral Forests with Fusion of Multi-Temporal Sentinel-1 and 2 Data

(2021) Kristian Skau Bjerreskov et al.   Remote Sensing

Comparison of Random Forest, Support Vector Machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve

(2021) Bogdan Zagajewski et al.   Remote Sensing

Combining GF-2 and Sentinel-2 Images to Detect Tree Mortality Caused by Red Turpentine Beetle during the Early Outbreak Stage in North China

(2020) Zhan et al.   Forests

Forest Disturbances in Polish Tatra Mountains for 1985–2016 in Relation to Topography, Stand Features, and Protection Zone

(2020) Adrian Ochtyra   Forests

In Situ Hyperspectral Remote Sensing for Monitoring of Alpine Trampled and Recultivated Species

(2019) Kycko et al.   Remote Sensing

Estimating Forest Leaf Area Index and Canopy Chlorophyll Content with Sentinel-2: An Evaluation of Two Hybrid Retrieval Algorithms

(2019) Luke A. Brown et al.   Remote Sensing

Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft

(2018) Roope Näsi et al.   URBAN FORESTRY & URBAN GREENING

Estimating defoliation of Scots pine stands using machine learning methods and vegetation indices of Sentinel-2

(2018) Paweł Hawryło et al.   European Journal of Remote Sensing

Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data

(2018) et al.   Forests

Classification of High-Mountain Vegetation Communities within a Diverse Giant Mountains Ecosystem Using Airborne APEX Hyperspectral Imagery

(2018) et al.   Remote Sensing

Tree Species Classification of the UNESCO Man and the Biosphere Karkonoski National Park (Poland) Using Artificial Neural Networks and APEX Hyperspectral Images

(2018) Edwin Raczko et al.   Remote Sensing

A Novel Approach to Unsupervised Change Detection Based on Hybrid Spectral Difference

(2018) Li Yan et al.   Remote Sensing

Is the impact of loggings in the last primeval lowland forest in Europe underestimated? The conservation issues of Białowieża Forest

(2018) Grzegorz Mikusiński et al.   BIOLOGICAL CONSERVATION

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

Models of disturbance driven dynamics in the West Carpathian spruce forests

(2017) Jan Holeksa et al.   FOREST ECOLOGY AND MANAGEMENT

Remote sensing of forest insect disturbances: Current state and future directions

(2017) Cornelius Senf et al.   International Journal of Applied Earth Observation and Geoinformation

Assessment of Hyperspectral Remote Sensing for Analyzing the Impact of Human Trampling on Alpine Swards

(2017) Marlena Kycko et al.   MOUNTAIN RESEARCH AND DEVELOPMENT

Landscape-Level Spruce Mortality Patterns and Topographic Forecasters of Bark Beetle Outbreaks in Managed and Unmanaged Forests of the Tatra Mountains

(2017) Gregory J. Sproull et al.   POLISH JOURNAL OF ECOLOGY

Sensitivity analysis of RapidEye spectral bands and derived vegetation indices for insect defoliation detection in pure Scots pine stands

(2017) A Marx et al.   iForest-Biogeosciences and Forestry

Forest disturbances under climate change

(2017) Rupert Seidl et al.   Nature Climate Change

Forest disturbance interactions and successional pathways in the Southern Rocky Mountains

(2016) Lu Liang et al.   FOREST ECOLOGY AND MANAGEMENT

First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe

(2016) Markus Immitzer et al.   Remote Sensing

Applicability of a vegetation indices-based method to map bark beetle outbreaks in the High Tatra Mountains

(2015) Mária Havašová et al.   Annals of Forest Research

Post-disaster Forest Management and Bark Beetle Outbreak in Tatra National Park, Slovakia

(2014) Christo Nikolov et al.   MOUNTAIN RESEARCH AND DEVELOPMENT

Early Detection of Bark Beetle Infestation in Norway Spruce (Picea abies, L.) using WorldView-2 Data Frühzeitige Erkennung von Borkenkä ferbefall an Fichten mittels WorldView-2 Satellitendaten

(2014) Markus Immitzer et al.   Photogrammetrie Fernerkundung Geoinformation

Evaluating methods to detect bark beetle-caused tree mortality using single-date and multi-date Landsat imagery

(2013) Arjan J.H. Meddens et al.   REMOTE SENSING OF ENVIRONMENT

Spatio-temporal infestation patterns of Ips typographus (L.) in the Bavarian Forest National Park, Germany

(2012) Angela Lausch et al.   ECOLOGICAL INDICATORS

Unraveling the drivers of intensifying forest disturbance regimes in Europe

(2011) RUPERT SEIDL et al.   GLOBAL CHANGE BIOLOGY

A broad-band leaf chlorophyll vegetation index at the canopy scale

(2008) M. Vincini et al.   PRECISION AGRICULTURE

Inter-Comparison of ASTER and MODIS Surface Reflectance and Vegetation Index Products for Synergistic Applications to Natural Resource Monitoring

(2008) Tomoaki Miura et al.   SENSORS

Multi-temporal vegetation canopy water content retrieval and interpretation using artificial neural networks for the continental USA☆

(2007) M TROMBETTI et al.   REMOTE SENSING OF ENVIRONMENT