Joanne C. White

Orcid: 0000-0003-4674-0373

According to our database1, Joanne C. White authored at least 25 papers between 2007 and 2023.

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

Timeline

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Bibliography

2023
An automated approach to detecting instream wood using airborne laser scanning in small coastal streams.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023

2022
An open science and open data approach for the statistically robust estimation of forest disturbance areas.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Mapping dynamic peri-urban land use transitions across Canada using Landsat time series: Spatial and temporal trends and associations with socio-demographic factors.
Comput. Environ. Urban Syst., 2021

Using GEDI Waveforms for Improved TanDEM-X Forest Height Mapping: A Combined SINC + Legendre Approach.
Remote. Sens., 2021

Land cover harmonization using Latent Dirichlet Allocation.
Int. J. Geogr. Inf. Sci., 2021

Forest Aboveground Biomass Estimation with GEDI and ICESat-2 in Boreal Forests.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Update and spatial extension of strategic forest inventories using time series remote sensing and modeling.
Int. J. Appl. Earth Obs. Geoinformation, 2020

Discriminating treed and non-treed wetlands in boreal ecosystems using time series Sentinel-1 data.
Int. J. Appl. Earth Obs. Geoinformation, 2020

The urban greenness score: A satellite-based metric for multi-decadal characterization of urban land dynamics.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Challenges of Multi-Temporal and Multi-Sensor Forest Growth Analyses in a Highly Disturbed Boreal Mixedwood Forests.
Remote. Sens., 2019

Information Needs of Next-Generation Forest Carbon Models: Opportunities for Remote Sensing Science.
Remote. Sens., 2019

Assessing spectral measures of post-harvest forest recovery with field plot data.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
A National Assessment of Wetland Status and Trends for Canada's Forested Ecosystems Using 33 Years of Earth Observation Satellite Data.
Remote. Sens., 2018

Reply to Vauhkonen: Comment on Tompalski et al. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling. <i>Remote Sens.</i> 2018, <i>10</i>, 347.
Remote. Sens., 2018

Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling.
Remote. Sens., 2018

Updating stand-level forest inventories using airborne laser scanning and Landsat time series data.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2017
Characterizing spatial-temporal patterns of landscape disturbance and recovery in western Alberta, Canada using a functional data analysis approach and remotely sensed data.
Ecol. Informatics, 2017

Updating Landsat time series of surface-reflectance composites and forest change products with new observations.
Int. J. Appl. Earth Obs. Geoinformation, 2017

A space-time data cube: Multi-temporal forest structure maps from landsat and lidar.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Extending Airborne Lidar-Derived Estimates of Forest Canopy Cover and Height Over Large Areas Using kNN With Landsat Time Series Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring.
Int. J. Digit. Earth, 2016

Effect of topographic correction on forest change detection using spectral trend analysis of Landsat pixel-based composites.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2013
Modeling Stand Height, Volume, and Biomass from Very High Spatial Resolution Satellite Imagery and Samples of Airborne LiDAR.
Remote. Sens., 2013

An approach using Dempster-Shafer theory to fuse spatial data and satellite image derived crown metrics for estimation of forest stand leading species.
Inf. Fusion, 2013

2007
An Efficient Protocol to Process Landsat Images for Change Detection With Tasselled Cap Transformation.
IEEE Geosci. Remote. Sens. Lett., 2007


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