Heather Reese
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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
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
Mapping tree canopy cover and aboveground biomass in Sudano-Sahelian woodlands using Landsat 8 and random forest
M Karlson, M Ostwald, H Reese, J Sanou, B Tankoano, E Mattsson
Remote Sensing 7 (8), 10017-10041, 2015
Statewide land cover derived from multiseasonal Landsat TM data: a retrospective of the WISCLAND project
HM Reese, TM Lillesand, DE Nagel, JS Stewart, RA Goldmann, ...
Remote Sensing of Environment 82 (2-3), 224-237, 2002
The effect of trees on preferential flow and soil infiltrability in an agroforestry parkland in semiarid Burkina Faso
A Bargués Tobella, H Reese, A Almaw, J Bayala, A Malmer, H Laudon, ...
Water resources research 50 (4), 3342-3354, 2014
A method for calibrated maximum likelihood classification of forest types
O Hagner, H Reese
Remote sensing of environment 110 (4), 438-444, 2007
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
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
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
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
Tree crown mapping in managed woodlands (parklands) of semi-arid West Africa using WorldView-2 imagery and geographic object based image analysis
M Karlson, H Reese, M Ostwald
Sensors 14 (12), 22643-22669, 2014
Improved forest statistics from the Swedish National Forest Inventory by combining field data and optical satellite data using post-stratification
M Nilsson, S Holm, H Reese, J Wallerman, J Engberg
Proceedings of ForestSat 31, 22-26, 2005
Tree species classification with multi-temporal Sentinel-2 data
M Persson, E Lindberg, H Reese
Remote Sensing 10 (11), 1794, 2018
Upper Midwest gap analysis program, image processing protocol
T Lillesand, J Chipman, D Nagel, H Reese, M Bobo
Wisconsin Univ-Madison, 1998
Mapping ground lichens using forest inventory and optical satellite data
M Gilichinsky, P Sandström, H Reese, S Kivinen, J Moen, M Nilsson
International journal of remote sensing 32 (2), 455-472, 2011
Upper Midwest Gap analysis image processing protocol
T Lillesand, J Chipman, D Nagel, H Reese, M Bobo, R Goldmann
US Geological Survey, Environmental Management Technical Center Document No …, 1998
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
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
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
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
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