Operational mapping of the land cover of the forested area of Canada with Landsat data: EOSD land cover program

By M. Wulder, J. Dechka, M. Gillis, Joan E. Luther, R. Hall, A. Beaudoin, S. Franklin. 2003

172 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/26f59cde30bc1b8bb5d0a2b933de7521deac6b46

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In Ecology

In Global and Planetary Change

Citations in the corpus

A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm (2016, methodology): “Landsat has enabled high-resolution mapping of small water bodies at the national and global extents (Townshend and Justice 1988; Wulder et al. 2003; Homer et al. 2004; Townshend et al. 2012; Liao et al. 2014), and a recent global inventory focused on lakes was based on Landsat images (Verpoorter et”
Landsat continuity: Issues and opportunities for land cover monitoring (2008, background): “…land for an integrated emissions reporti underpin policies resource manage Canada Earth Observation for Sustainable Development of Forests (EOSD, Wulder et al., 2003) To produce a lan Canada for moni monitoring and r international prog Different countries worldwide United Nations Global…”
Land cover 2.0 (2018, background): “…were a number of large area land cover mapping projects implemented, with noteworthy examples including for the United Kingdom (Fuller, Groom, and Jones 1994), Europe (Bossard, Feranec, and Otahel 2000), the United States (Vogelmann et al. 1998), and Canada (Wulder et al. 2003; Wulder et al. 2008).”
A comparison of four methods to map biomass from Landsat-TM and inventory data in western Newfoundland (2006, methodology): “The conifer/ deciduous/mixed stand stratification was generated from a hyperclustering and labeling procedure (Wulder et al., 2003).”
A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS (2009, methodology): “…land cover classification product is based upon unsupervised classification, hyperclustering, and manual labelling of Landsat TM and ETM+ data, thereby facilitating the classification of land cover types over larger areas (Franklin and Wulder, 2002; Slaymaker et al., 1996; Wulder et al., 2003).”
Detection of individual trees and estimation of tree height using LiDAR data (2007, background): “However, the difference in the reflectance value between the center and edge of the crown is not always distinct, due to influencing factors such as the crown spectral property, complicated crown texture, diverse forest structure, and time of imagery acquisition (Wulder et al. 2003).”