| A method for calibrated maximum likelihood classification of forest types O Hagner, H Reese Remote sensing of environment 110 (4), 438-444, 2007 | 131 | 2007 |
| Applications using estimates of forest parameters derived from satellite and forest inventory data H Reese, M Nilsson, P Sandström, H Olsson Computers and electronics in agriculture 37 (1-3), 37-55, 2002 | 221 | 2002 |
| Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species M Karlson, M Ostwald, H Reese, HR Bazié, B Tankoano International Journal of Applied Earth Observation and Geoinformation 50, 80-88, 2016 | 95 | 2016 |
| Automated estimation of forest parameters for Sweden using Landsat data and the kNN algorithm H Reese, T Granqvist-Pahlén, M Egberth, M Nilsson, H Olsson Proceedings, 31st International Symposium on Remote Sensing of Environment, 2005 | 19 | 2005 |
| Bias of cylinder diameter estimation from ground-based laser scanners with different beam widths: A simulation study M Forsman, N Börlin, K Olofsson, H Reese, J Holmgren ISPRS journal of photogrammetry and remote sensing 135, 84-92, 2018 | 31 | 2018 |
| Big data in remote sensing H Reese | | |
| C-correction of optical satellite data over alpine vegetation areas: A comparison of sampling strategies for determining the empirical c-parameter H Reese, H Olsson Remote Sensing of Environment 115 (6), 1387-1400, 2011 | 99 | 2011 |
| Classification of mountain vegetation using plot data from the new National Inventory of the Landscape in Sweden (NILS) and Landsat satellite data H Reese, M Nilsson | | |
| Classification of Sweden's forest and alpine vegetation using optical satellite and inventory data H Reese Department of Forest Resource Management, Swedish University of Agricultural …, 2011 | 15 | 2011 |
| Combining airborne laser scanning data and optical satellite data for classification of alpine vegetation H Reese, M Nyström, K Nordkvist, H Olsson International Journal of Applied Earth Observation and Geoinformation 27, 81-90, 2014 | 69 | 2014 |
| Combining in situ flux measurements and multi-temporal UAV LiDAR on a degrading palsa. S Holm Hjelmerud, C Renette, M Björkman, H Reese EGU General Assembly Conference Abstracts, 12327, 2024 | | 2024 |
| Combining in situ flux measurements and multi-temporal UAV LiDAR on a degrading palsa. SH Hjelmerud, C Renette, M Björkman, H Reese EGU24, 2024 | | 2024 |
| Combining point clouds from image matching with SPOT 5 multispectral data for mountain vegetation classification H Reese, K Nordkvist, M Nyström, J Bohlin, H Olsson International Journal of Remote Sensing 36 (2), 403-416, 2015 | 17 | 2015 |
| Combining spectral data and a DSM from UAS-images for improved classification of non-submerged aquatic vegetation E Husson, H Reese, F Ecke Remote Sensing 9 (3), 247, 2017 | 47 | 2017 |
| Comparison of manual mapping and automated object-based image analysis of non-submerged aquatic vegetation from very-high-resolution UAS images E Husson, F Ecke, H Reese Remote Sensing 8 (9), 724, 2016 | 114 | 2016 |
| Comparison of Resourcesat-1 AWiFS and SPOT-5 data over managed boreal forest stands H Reese, M Nilsson, H Olsson International Journal of Remote Sensing 30 (19), 4957-4978, 2009 | 7 | 2009 |
| Countrywide estimates of forest variables using satellite data and field data from the national forest inventory H Reese, M Nilsson, TG Pahlén, O Hagner, S Joyce, U Tingelöf, ... AMBIO: A Journal of the Human Environment 32 (8), 542-548, 2003 | 323 | 2003 |
| Current and emerging operational uses of remote sensing in Swedish forestry H Olsson, M Egberth, J Engberg, J Fransson, TG Pahlén, O Hagner, ... Proc. of the 5th Annual Forest Inventory and Analysis Symposium, 39-46, 2005 | 20 | 2005 |
| ENVISAT MERIS for country-wide estimates of forest and mountain vegetation in Sweden H Reese, S Joyce, H Olsson Proc. International Symposium for Remote Sensing of the Environment, St …, 2005 | 4 | 2005 |
| Error characteristics of pan-arctic digital elevation models and elevation derivatives in Northern Sweden M Karlson, D Bastviken, H Reese Remote Sensing 13 (22), 4653, 2021 | 14 | 2021 |