Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Geordie W. Hobart"'
Publikováno v:
Canadian Journal of Remote Sensing, Vol 44, Iss 1, Pp 67-87 (2018)
Land cover classification of large geographic areas over multiple decades at an annual time step is now possible based upon free and open access to the Landsat data archive. Annual gap-free, best-available-pixel, surface reflectance, image composites
Externí odkaz:
https://doaj.org/article/dfe9d07faa4748b29ca8a647f396e55e
Autor:
Joanne C. White, Douglas K. Bolton, Christopher W. Bater, Giona Matasci, Michael A. Wulder, Geordie W. Hobart, Nicholas C. Coops, Txomin Hermosilla, Piotr Tompalski
Publikováno v:
Remote Sensing of Environment. 216:697-714
Attributes that describe forest structure, such as height, canopy cover, volume, and biomass, are required to inform forest inventories and monitoring programs. Light Detection and Ranging (lidar) has been successfully demonstrated as a means to deri
Autor:
Txomin Hermosilla, Harold S. J. Zald, Nicholas C. Coops, Joanne C. White, Michael A. Wulder, Giona Matasci, Geordie W. Hobart
Publikováno v:
Remote Sensing of Environment. 209:90-106
Passive optical remotely sensed images such as those from the Landsat satellites enable the development of spatially comprehensive, well-calibrated reflectance measures that support large-area mapping. In recent years, as an alternative to field plot
Publikováno v:
Canadian Journal of Remote Sensing. 44:67-87
Land cover classification of large geographic areas over multiple decades at an annual time step is now possible based upon free and open access to the Landsat data archive. Annual gap-free, best-a...
Publikováno v:
Science of Remote Sensing, Vol 4, Iss, Pp 100031-(2021)
An increase in the temporal revisit of satellite data is often sought to increase the likelihood of obtaining cloud- and shadow-free observations as well as to improve mapping of rapidly- or seasonally-changing features. Currently, as a tandem, Lands
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 63:104-111
The use of time series satellite data allows for the temporally dense, systematic, transparent, and synoptic capture of land dynamics over time. Subsequent to the opening of the Landsat archive, several time series approaches for characterizing lands
Publikováno v:
Remote Sensing of Environment. 194:303-321
In the context of complex demands on forest resources and climate change, synoptic and spatially-explicit baseline data characterizing national trends in forest disturbance and subsequent return of vegetation (and eventual return to forest) are incre
Autor:
Farouk S. Nathoo, Txomin Hermosilla, Mathieu L. Bourbonnais, Gordon B. Stenhouse, Geordie W. Hobart, Nicholas C. Coops, Michael A. Wulder, Trisalyn A. Nelson, Chris T. Darimont, Joanne C. White
Publikováno v:
Ecological Informatics. 39:140-150
Landscape regionalization approaches are frequently used to summarize and visualize complex spatial patterns, environmental factors, and disturbance regimes. However, landscapes are dynamic and contemporary regionalization approaches based on spatial
Autor:
Joanne C. White, Zhan Li, Nicholas C. Coops, Txomin Hermosilla, Elizabeth M. Campbell, Michael A. Wulder, Geordie W. Hobart
Publikováno v:
Remote Sensing; Volume 10; Issue 10; Pages: 1623
Remote Sensing, Vol 10, Iss 10, p 1623 (2018)
Remote Sensing, Vol 10, Iss 10, p 1623 (2018)
Wetlands are important globally for supplying clean water and unique habitat, and for storing vast amounts of carbon and nutrients. The geographic extent and state of wetlands vary over time and represent a dynamic land condition rather than a perman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32386d5d62d7d77d7b29460074947b30
Autor:
Michael A. Wulder, Geordie W. Hobart, Lorraine B. Campbell, Joanne C. White, Nicholas C. Coops, Txomin Hermosilla
Publikováno v:
International Journal of Digital Earth. 9:1035-1054
Free and open access to the Landsat archive has enabled the implementation of national and global terrestrial monitoring projects. Herein, we summarize a project characterizing the change history of Canada’s forested ecosystems with a time series o