Boreas Afm-12 1-Km Avhrr Seasonal Land Cover Classification

Boreas Afm-12 1-Km Avhrr Seasonal Land Cover Classification
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
Total Pages: 40
Release: 2018-06-16
Genre:
ISBN: 9781721224395

The Boreal Ecosystem-Atmosphere Study (BOREAS) Airborne Fluxes and Meteorology (AFM)-12 team's efforts focused on regional scale Surface Vegetation and Atmosphere (SVAT) modeling to improve parameterization of the heterogeneous BOREAS landscape for use in larger scale Global Circulation Models (GCMs). This regional land cover data set was developed as part of a multitemporal one-kilometer Advanced Very High Resolution Radiometer (AVHRR) land cover analysis approach that was used as the basis for regional land cover mapping, fire disturbance-regeneration, and multiresolution land cover scaling studies in the boreal forest ecosystem of central Canada. This land cover classification was derived by using regional field observations from ground and low-level aircraft transits to analyze spectral-temporal clusters that were derived from an unsupervised cluster analysis of monthly Normalized Difference Vegetation Index (NDVI) image composites (April-September 1992). This regional data set was developed for use by BOREAS investigators, especially those involved in simulation modeling, remote sensing algorithm development, and aircraft flux studies. Based on regional field data verification, this multitemporal one-kilometer AVHRR land cover mapping approach was effective in characterizing the biome-level land cover structure, embedded spatially heterogeneous landscape patterns, and other types of key land cover information of interest to BOREAS modelers.The land cover mosaics in this classification include: (1) wet conifer mosaic (low, medium, and high tree stand density), (2) mixed coniferous-deciduous forest (80% coniferous, codominant, and 80% deciduous), (3) recent visible bum, vegetation regeneration, or rock outcrops-bare ground-sparsely vegetated slow regeneration bum (four classes), (4) open water and grassland marshes, and (5) general agricultural land use/ grasslands (three classes). This land cover mapping approach did not detect small subpixel-scale landscape fea

Boreas Afm-12 1-Km Avhrr Seasonal Land Cover Classification

Boreas Afm-12 1-Km Avhrr Seasonal Land Cover Classification
Author: Lou Steyaert
Publisher: BiblioGov
Total Pages: 30
Release: 2013-08
Genre:
ISBN: 9781289275266

The NASA Technical Reports Server (NTRS) houses half a million publications that are a valuable means of information to researchers, teachers, students, and the general public. These documents are all aerospace related with much scientific and technical information created or funded by NASA. Some types of documents include conference papers, research reports, meeting papers, journal articles and more. This is one of those documents.

Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience

Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience
Author: Ming-ko Woo
Publisher: Springer Science & Business Media
Total Pages: 514
Release: 2007-12-16
Genre: Science
ISBN: 354075136X

This book presents decade-long advances in atmospheric research in the Mackenzie River Basin in northern Canada, which encompasses environments representative of most cold areas on Earth. Collaborative efforts have yielded knowledge entirely transferable to other high latitude regions in America, Europe and Asia. This book complements the first volume coming from the GEWEX project, dealing with the region's atmospheric dynamics.

Global Land Cover Characteristics Database

Global Land Cover Characteristics Database
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Total Pages:
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ISBN:

The U.S. Geographical Survey (USGS) Earth Resources Observations Systems (EROS) Data Center presents the Global Land Cover Characteristics Database. The data set is derived from 1-km Advanced Very High Resolution Radiometer (AVHRR) data spanning a 12-month period. The database is based on a flexible database structure and seasonal land cover regions concepts. A geographic projection file listing is available.