Heather Reese

Orcid: 0000-0003-2128-7787

According to our database1, Heather Reese authored at least 14 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
Ecosystem Models Based on Artificial Intelligence.
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

2021
Mapping Tree Height in Burkina Faso Parklands with TanDEM-X.
Remote. Sens., 2021

Error Characteristics of Pan-Arctic Digital Elevation Models and Elevation Derivatives in Northern Sweden.
Remote. Sens., 2021

Tree species classification using Sentinel-2 imagery and Bayesian inference.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2019
Soil Moisture Monitoring of Agricultural Fields in Burkina Faso Using Dual Polarized Sentinel-1a Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Tree Species Classification with Multi-Temporal Sentinel-2 Data.
Remote. Sens., 2018

2017
Combining Spectral Data and a DSM from UAS-Images for Improved Classification of Non-Submerged Aquatic Vegetation.
Remote. Sens., 2017

2016
Comparison of Manual Mapping and Automated Object-Based Image Analysis of Non-Submerged Aquatic Vegetation from Very-High-Resolution UAS Images.
Remote. Sens., 2016

Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey.
Remote. Sens., 2015

Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest.
Remote. Sens., 2015

2014
Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis.
Sensors, 2014

Combining airborne laser scanning data and optical satellite data for classification of alpine vegetation.
Int. J. Appl. Earth Obs. Geoinformation, 2014

2010
Forest mapping using 3D data from SPOT-5 HRS and Z/I DMC.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010


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