An international comparison of individual tree detection and extraction using airborne laser scanning H Kaartinen, J Hyyppä, X Yu, M Vastaranta, H Hyyppä, A Kukko, ... Remote Sensing 4 (4), 950-974, 2012 | 576 | 2012 |
Single tree detection in very high resolution remote sensing data M Hirschmugl, M Ofner, J Raggam, M Schardt Remote Sensing of Environment 110 (4), 533-544, 2007 | 227 | 2007 |
Methods for mapping forest disturbance and degradation from optical earth observation data: A review M Hirschmugl, H Gallaun, M Dees, P Datta, J Deutscher, N Koutsias, ... Current Forestry Reports 3, 32-45, 2017 | 97 | 2017 |
Use of SAR and optical time series for tropical forest disturbance mapping M Hirschmugl, J Deutscher, C Sobe, A Bouvet, S Mermoz, M Schardt Remote Sensing 12 (4), 727, 2020 | 88 | 2020 |
Global change research in the Carpathian mountain region AB Gurung, A Bokwa, W Chełmicki, M Elbakidze, M Hirschmugl, P Hostert, ... Mountain Research and Development 29 (3), 282-288, 2009 | 81 | 2009 |
Mapping forest degradation due to selective logging by means of time series analysis: Case studies in Central Africa M Hirschmugl, M Steinegger, H Gallaun, M Schardt Remote Sensing 6 (1), 756-775, 2014 | 73 | 2014 |
Mapping tropical rainforest canopy disturbances in 3D by COSMO-SkyMed spotlight InSAR-stereo data to detect areas of forest degradation J Deutscher, R Perko, K Gutjahr, M Hirschmugl, M Schardt Remote sensing 5 (2), 648-663, 2013 | 55 | 2013 |
Combined use of optical and synthetic aperture radar data for REDD+ applications in Malawi M Hirschmugl, C Sobe, J Deutscher, M Schardt Land 7 (4), 116, 2018 | 38 | 2018 |
Derivation of forest parameters from UltracamD data M Hirschmugl na, 2008 | 22 | 2008 |
A near real-time method for forest change detection based on a structural time series model and the Kalman filter M Puhm, J Deutscher, M Hirschmugl, A Wimmer, U Schmitt, M Schardt Remote Sensing 12 (19), 3135, 2020 | 21 | 2020 |
Reflectance of various snow types: measurements, modeling, and potential for snow melt monitoring JI Peltoniemi, J Suomalainen, T Hakala, J Näränen, E Puttonen, ... Light Scattering Reviews 5: Single Light Scattering and Radiative Transfer …, 2010 | 19 | 2010 |
An international comparison of individual tree detection and extraction using airborne laser scanning. Remote Sens. 4, 950–974 H Kaartinen, J Hyyppä, X Yu, M Vastaranta, H Hyyppä, A Kukko, ... | 17 | 2012 |
Humid tropical forest monitoring with multi-temporal L-, C-and X-band SAR data J Deutscher, K Gutjahr, R Perko, H Raggam, M Hirschmugl, M Schardt 2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017 | 16 | 2017 |
„Pansharpening “-Methoden für digitale, sehr hochauflösende Fernerkundungsdaten M Hirschmugl, H Gallaun, R Perko, M Schardt na, 2005 | 16 | 2005 |
Review on the possibilities of mapping old-growth temperate forests by remote sensing in Europe M Hirschmugl, C Sobe, A Di Filippo, V Berger, H Kirchmeir, ... Environmental Modeling & Assessment 28 (5), 761-785, 2023 | 15 | 2023 |
Pan-European mapping of underutilized land for bioenergy production M Hirschmugl, C Sobe, C Khawaja, R Janssen, L Traverso Land 10 (2), 102, 2021 | 14 | 2021 |
Viability and sustainability assessment of bioenergy value chains on underutilised lands in the EU and Ukraine C Khawaja, R Janssen, R Mergner, D Rutz, M Colangeli, L Traverso, ... Energies 14 (6), 1566, 2021 | 13 | 2021 |
Combined use of SAR and optical time series data for near real-time forest disturbance mapping M Hirschmugl, J Deutscher, KH Gutjahr, C Sobe, M Schardt 2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017 | 13 | 2017 |
The assessment of forest parameters by combined LiDAR and satellite data over Alpine regions–EUFODOS Implementation in Austria/Hodnotenie parametrov lesa kombináciou LIDAR-u a … M Schardt, K Granica, M Hirschmugl, J Deutscher, M Mollatz, ... Central European Forestry Journal 61 (1), 3-11, 2015 | 13 | 2015 |
Assessing the vertical structure of forests using airborne and spaceborne LiDAR data in the Austrian Alps M Hirschmugl, F Lippl, C Sobe Remote Sensing 15 (3), 664, 2023 | 12 | 2023 |