Heather Reese
Om Heather Reese
My primary research interest is in remote sensing of subarctic alpine vegetation types and changes in the vegetation of these areas. I combine multiple data sources such as optical data from Sentinel-2 or Landsat, but also incorporate 3D data from LiDAR or photogrammetry. Connecting information at different spatial scales is a challenge, where data from drones and satellite platforms need to be carefully correlated. I fly drones at my research sites with near-infrared and thermal-infrared cameras, and have contributed to a number of cross-disciplinary research projects.
I often work with large area operational projects and cooperate with government agencies and consulting companies in aspects of method development. My future interests are to apply multi-scale remote sensing and spatial modelling to better determine changes (climate and other agents) in alpine, sub-arctic ecosystems. I have also worked with applications in Burkina Faso and Rwanda. As a new member of the Department, I am currently working with further integration of remote sensing into our Earth Science research and teaching.
Currently financed research projects include:
• Multi-temporal classification of Sentinel-2 satellite data for alpine vegetation and tree species using Hidden Markov Models (Financer: Swedish National Space Board)
• Operational mapping of alpine vegetation types in the new National Land Cover Map (Financer: Swedish Environmental Protection Agency)
• UAV photogrammetry for monitoring palsa degradation (Unfinanced)
• Using optical and radar satellite data to answer questions on the interrelated roles of trees, soil moisture and crop condition for food security in Burkina Faso (Financer: Swedish National Space Board)
• Improving model performance with high spatial-resolution albedo estimates (Financer: MERGE at GU)
• Mapping greening and browning in the Swedish subarctic with multi-scale remote sensing data (Financer: BECC at GU)
• Heat stress in tropical trees and its implications for tree community composition and plantation success.(Financer: BECC at GU)
• Northern wetland mapping and validation of greenhouse gas emissions (Financer: Formas)
See also:
Twitter: HeatherMReese (@RRs4es) and Alpine Polar Ecology group at GU (@APEGU1)
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Multi-scale remote sensing observations of a palsa in degradation
phase
Heather Reese, Mats Olvmo, Sofia Thorsson, Björn Holmer
EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-14455, 2021 - 2021-01-01 -
Vissátvuopmi palsmyr – en naturtyp på väg att
försvinna
Mats Olvmo, Sofia Thorsson, Heather Reese, Björn Holmer
Geologiskt Forum - 2020-01-01 -
The Potential of Sentinel-2 for Crop Production Estimation in a Smallholder Agroforestry Landscape, Burkina
Faso
Martin Karlson, Madelene Ostwald, Jules Bayala, Hugues Roméo Bazié, Abraham Sotongo Ouedraogo, Boukary Soro, Josias Sanou, Heather Reese
Frontiers in Environmental Science - 2020-01-01 -
Sub-arctic palsa degradation and the role of climatic drivers in the largest coherent palsa mire complex in Sweden (Vissatvuopmi),
1955-2016
Mats Olvmo, Björn Holmer, Sofia Thorsson, Heather Reese, Fredrik Lindberg
Scientific Reports - 2020-01-01 -
Sub-arctic palsa degradation and the role of climatic drivers in the largest coherent palsa mire complex in Sweden (Vissátvuopmi),
1955–2016
Mats Olvmo, Björn Holmer, Sofia Thorsson, Heather Reese, Fredrik Lindberg
Scientific Reports - 2020-01-01 -
SOIL MOISTURE MONITORING OF AGRICULTURAL FIELDS IN BURKINA FASO USING DUAL POLARIZED SENTINEL-1A
DATA
Y. Miura, L. E. B. Eriksson, Madelene Ostwald, M. Karlson, H. R. Bazie, M. J. Soja, J. Sanou, J. Bayala, Heather Reese
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium - 2019-01-01 -
Tree species classification with multi-temporal Sentinel-2
data
Magnus Persson, Eva Lindberg, Heather Reese
Remote Sensing - 2018-01-01 -
Bias of cylinder diameter estimation from ground-based laser scanners with different beam widths: A simulation
study
Mona Forsman, Niclas Börlin, Kenneth Olofsson, Heather Reese, Johan Holmgren
ISPRS Journal of Photogrammetry and Remote Sensing - 2018-01-01 -
Combining spectral data and a DSM from UAS-images for improved classification of non-submerged aquatic
vegetation
Eva Husson, Heather Reese, Frauke Ecke
Remote Sensing - 2017-01-01 -
Improving the precision of sample-based forest damage inventories through two-phase sampling and post-stratification using remotely sensed auxiliary
information.
Cornelia Roberge, Sören Wulff, Heather Reese, Göran Ståhl
Environmental monitoring and assessment - 2016-01-01 -
Comparison of manual mapping and automated object-based image analysis of non-submerged aquatic vegetation from very-high-resolution UAS
images
Eva Husson, Frauke Ecke, Heather Reese
Remote Sensing - 2016-01-01 -
Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree
species
Martin Karlson, Madelene Ostwald, Heather Reese, Hugues Roméo Bazie, Baolidioa Tankoano
International Journal of Applied Earth Observation and Geoinformation - 2016-01-01 -
Combining point clouds from image matching with SPOT 5 multispectral data for mountain vegetation
classification
Heather Reese, Karin Nordkvist, Mattias Nyström, Jonas Bohlin, Håkan Olsson
International Journal of Remote Sensing - 2015-01-01 -
Using optical satellite data and airborne lidar data for a nationwide sampling
survey
Nils Lindgren, Pernilla Christensen, Björn Nilsson, Marianne Åkerholm, Anna Allard, Heather Reese, Håkan Olsson
Remote Sensing - 2015-01-01 -
Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random
Forest
Marin Karlson, Madelene Ostwald, Heather Reese, Josias Sanou, Boalidioa Tankoano, Eskil Mattsson
Remote Sensing - 2015-01-01 -
Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image
Analysis
Martin Karlson, Heather Reese, Madelene Ostwald
Sensors - 2014-01-01 -
C-correction of optical satellite data over alpine vegetation areas: A comparison of sampling strategies for determining the empirical
c-parameter
Heather Reese, Håkan Olsson
Remote Sensing of Environment - 2011-01-01 -
Mapping ground lichens using forest inventory and optical satellite
data
Michael Gilichinsky, Per Sandström, Heather Reese, Sonja Kivinen, Jon Moen, Mats Nilsson
International Journal of Remote Sensing - 2011-01-01 -
Estimating annual cuttings using multi-temporal satellite data and field data from the Swedish
NFI
M. Nilsson, S. Holm, J. Wallerman, Heather Reese, H. Olsson
International Journal of Remote Sensing - 2009-01-01 -
Comparison of Resourcesat-1 AWiFS and SPOT-5 data over managed boreal forest
stands
Heather Reese, M. Nilsson, H. Olsson
International Journal of Remote Sensing - 2009-01-01 -
A method for calibrated maximum likelihood classification of forest
types
Olle Hagner, Heather Reese
Remote Sensing of Environment - 2007-01-01 -
Countrywide Estimates of Forest Variables Using Satellite Data and Field Data from the National Forest
Inventory
Heather Reese, Mats Nilsson, Tina Granqvlst Pahlén, Olle Hagner, Steve Joyce, Ulf Tingelöf, Mikael Egberth, Håkan Olsson
Ambio - 2003-01-01 -
Applications using estimates of forest parameters derived from satellite and forest inventory
data
Heather Reese, Mats Nilsson, Per Sandström, Håkan Olsson
Computers and Electronics in Agriculture - 2003-01-01 -
Statewide land cover derived from multiseasonal Landsat TM data: A retrospective of the WISCLAND
project
Heather Reese, Thomas M. Lillesand, David E. Nagel, Jana S. Stewart, Robert A. Goldmann, Tom E. Simmons, Jonathan W. Chipman, Paul A. Tessar
Remote Sensing of Environment - 2002-01-01