Her primary scientific interests are in Remote sensing, Land cover, Change detection, Satellite imagery and Thematic Mapper. The Remote sensing study combines topics in areas such as Mountain pine beetle and Vegetation. Her study looks at the intersection of Mountain pine beetle and topics like Forest health with Survey methodology.
In her study, Forest ecology is inextricably linked to Compositing, which falls within the broad field of Land cover. Her research integrates issues of Elevation, Regression, Missing data and Trend analysis in her study of Change detection. Her Thematic Mapper research is multidisciplinary, incorporating elements of Land use and Spatial variability.
Joanne C. White mostly deals with Remote sensing, Forest inventory, Lidar, Land cover and Mountain pine beetle. Her Remote sensing study incorporates themes from Cartography and Vegetation. Her biological study deals with issues like Photogrammetry, which deal with fields such as Range.
In her research on the topic of Lidar, Taiga is strongly related with Canopy. Her Land cover research is multidisciplinary, relying on both Remote sensing and Plant cover. Her Mountain pine beetle study combines topics in areas such as Survey methodology and Aerial survey.
Her scientific interests lie mostly in Remote sensing, Lidar, Forest inventory, Physical geography and Laser scanning. Her work carried out in the field of Remote sensing brings together such families of science as Land cover, Canopy, Basal area and Mean squared error. Her study in Land cover is interdisciplinary in nature, drawing from both Remote sensing, Climate change mitigation and Fire season.
Her work deals with themes such as Elevation, Terrain and Ecotone, which intersect with Lidar. Joanne C. White has researched Forest inventory in several fields, including Temperate forest, Photogrammetry, Weibull distribution and Forest dynamics. Her Physical geography research incorporates themes from Satellite imagery, Greening, Ecosystem, Disturbance and Vegetation.
Remote sensing, Lidar, Basal area, Physical geography and Canopy are her primary areas of study. Her Remote sensing research is multidisciplinary, incorporating elements of Land cover and Forest inventory. The various areas that Joanne C. White examines in her Land cover study include Remote sensing, Climate change mitigation and Satellite imagery.
Her Basal area study also includes
Plot and related Environmental resource management and Forest management,
Imputation which intersects with area such as Digital elevation model, Time series, Spatial analysis, Quadratic mean diameter and Cartography. Her Physical geography research also works with subjects such as
Ecosystem that connect with fields like Wetland,
Disturbance which connect with Forest ecology, Boreal and Vegetation,
Taiga most often made with reference to Ecozone. Her studies deal with areas such as Temperate rainforest, Forest dynamics, Seral community and Temperate climate as well as Canopy.
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Optical remotely sensed time series data for land cover classification: A review
Cristina Gómez;Joanne C. White;Michael A. Wulder.
Isprs Journal of Photogrammetry and Remote Sensing (2016)
Landsat continuity: Issues and opportunities for land cover monitoring
Michael A. Wulder;Joanne C. White;Samuel N. Goward;Jeffrey G. Masek.
Remote Sensing of Environment (2008)
Lidar sampling for large-area forest characterization: A review
Michael A. Wulder;Joanne C. White;Ross F. Nelson;Erik Næsset.
Remote Sensing of Environment (2012)
A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS
Thomas Hilker;Michael A. Wulder;Nicholas C. Coops;Julia Linke.
Remote Sensing of Environment (2009)
The global Landsat archive: Status, consolidation, and direction
Michael A. Wulder;Joanne C. White;Thomas R. Loveland;Curtis E. Woodcock.
Remote Sensing of Environment (2016)
Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities
Michael A. Wulder;Caren C. Dymond;Joanne C. White;Donald G. Leckie.
Forest Ecology and Management (2006)
Remote Sensing Technologies for Enhancing Forest Inventories: A Review
Joanne C. White;Nicholas C. Coops;Michael A. Wulder;Mikko Vastaranta.
Canadian Journal of Remote Sensing (2016)
The role of LiDAR in sustainable forest management
Michael A. Wulder;Christopher W. Bater;Nicholas C. Coops;Thomas Hilker.
Forestry Chronicle (2008)
The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning
Joanne C. White;Michael A. Wulder;Mikko Vastaranta;Nicholas C. Coops.
Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model.
Thomas Hilker;Michael A. Wulder;Nicholas C. Coops;Nicole Seitz.
Remote Sensing of Environment (2009)
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