Classification of Land-Cover Types for the Fort Benning Ecoregion Using Enhanced Thematic Mapper Data: January 2003 Imagery PDF Download
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Author: Sam S. Jackson
Publisher:
ISBN:
Category : Ecosystem management
Languages : en
Pages : 9
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Book Description
Information regarding regional land cover is a fundamental requirement to support the long-term baseline ecosystem monitoring plan under the Strategic Environmental Research and Development Program (SERDP), Ecosystem Management Project (SEMP), Ecosystem Characterization and Monitoring Initiative (ECMI). The land cover characterization phase of this plan provides the foundation needed to derive vegetation density indices and land cover patterns. These characteristics are the primary visible expressions of the underlying ecosystem structure, function, and process at all spatial scales (Kress 2000). To meet the requirement for land cover information, Landsat 7 Enhanced Thematic Mapper (ETM) data were used to classify land cover types for the Fort Benning ecoregion. This technical note describes the procedures used to extract land cover information from the satellite imagery.
Author: Sam S. Jackson
Publisher:
ISBN:
Category : Ecosystem management
Languages : en
Pages : 9
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Book Description
Information regarding regional land cover is a fundamental requirement to support the long-term baseline ecosystem monitoring plan under the Strategic Environmental Research and Development Program (SERDP), Ecosystem Management Project (SEMP), Ecosystem Characterization and Monitoring Initiative (ECMI). The land cover characterization phase of this plan provides the foundation needed to derive vegetation density indices and land cover patterns. These characteristics are the primary visible expressions of the underlying ecosystem structure, function, and process at all spatial scales (Kress 2000). To meet the requirement for land cover information, Landsat 7 Enhanced Thematic Mapper (ETM) data were used to classify land cover types for the Fort Benning ecoregion. This technical note describes the procedures used to extract land cover information from the satellite imagery.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 9
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Book Description
Information regarding regional land cover is a fundamental requirement to support the long-term baseline ecosystem monitoring plan under the Strategic Environmental Research and Development Program (SERDP), Ecosystem Management Project (SEMP), Ecosystem Characterization and Monitoring Initiative (ECMI). The land cover characterization phase of this plan provides the foundation needed to derive vegetation density indices and land cover patterns. These characteristics are the primary visible expressions of the underlying ecosystem structure, function, and process at all spatial scales (Kress 2000). To meet the requirement for land cover information, Landsat 7 Enhanced Thematic Mapper (ETM) data were used to classify land cover types for the Fort Benning ecoregion. This technical note describes the procedures used to extract land cover information from the satellite imagery.
Author: Sam S. Jackson
Publisher:
ISBN:
Category : Ecosystem management
Languages : en
Pages : 9
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Book Description
Author: Onder Ergonul
Publisher: Springer Science & Business Media
ISBN: 1402061064
Category : Medical
Languages : en
Pages : 334
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Book Description
This volume covers major aspects of Crimean-Congo hemorrhagic fever (CCHF) and the virus which causes it. Chapters are written by leading experts in their fields and detail historical, public health, epidemiological, and clinical aspects of CCHF and the genetics and molecular biology of the virus. Additional chapters focus on disease control, tick vectors and infection among animals, both natural and experimental.
Author:
Publisher:
ISBN:
Category : Forest genetics
Languages : en
Pages : 314
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Book Description
Author:
Publisher:
ISBN:
Category : Land use
Languages : en
Pages : 40
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Book Description
Author: William F. Porter
Publisher: JHU Press
ISBN: 1421440202
Category : Science
Languages : en
Pages : 354
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Book Description
Wildlife management specialists and landscape ecologists offer a new perspective on the important intersection of these fields in the twenty-first century. It's been clear for decades that landscape-level patterns and processes, along with the tenets and tools of landscape ecology, are vitally important in understanding wildlife-habitat relationships and sustaining wildlife populations. Today, significant shifts in the spatial scale of extractive, agricultural, ranching, and urban land uses are upon us, making it more important than ever before to connect wildlife management and landscape ecology. Landscape ecologists must understand the constraints that wildlife managers face and be able to use that knowledge to translate their work into more practical applications. Wildlife managers, for their part, can benefit greatly from becoming comfortable with the vocabulary, conceptual processes, and perspectives of landscape ecologists. In Wildlife Management and Landscapes, the foremost landscape ecology experts and wildlife management specialists come together to discuss the emerging role of landscape concepts in habitat management. Their contributions • make the case that a landscape perspective is necessary to address management questions • translate concepts in landscape ecology to wildlife management • explain why studying some important habitat-wildlife relationships is still inherently difficult • explore the dynamic and heterogeneous structure of natural systems • reveal why factors such as soil, hydrology, fire, grazing, and timber harvest lead to uncertainty in management decisions • explain matching scale between population processes and management • discuss limitations to management across jurisdictional boundaries and balancing objectives of private landowners and management agencies • offer practical ideas for improving communication between professionals • outline the impediments that limit a full union of landscape ecology and wildlife management Using concrete examples of modern conservation challenges that range from oil and gas development to agriculture and urbanization, the volume posits that shifts in conservation funding from a hunter constituent base to other sources will bring a dramatic change in the way we manage wildlife. Explicating the foundational similarity of wildlife management and landscape ecology, Wildlife and Landscapes builds crucial bridges between theoretical and practical applications. Contributors: Jocelyn L. Aycrigg, Guillaume Bastille-Rousseau, Jon P. Beckmann, Joseph R. Bennett, William M. Block, Todd R. Bogenschutz, Teresa C. Cohn, John W. Connelly, Courtney J. Conway, Bridgett E. Costanzo, David D. Diamond, Karl A. Didier, Lee F. Elliott, Michael E. Estey, Lenore Fahrig, Cameron J. Fiss, Jacqueline L. Frair, Elsa M. Haubold, Fidel Hernández, Jodi A. Hilty, Joseph D. Holbrook, Cynthia A. Jacobson, Kevin M. Johnson, Jeffrey K. Keller, Jeffery L. Larkin, Kimberly A. Lisgo, Casey A. Lott, Amanda E. Martin, James A. Martin, Darin J. McNeil, Michael L. Morrison, Betsy E. Neely, Neal D. Niemuth, Chad J. Parent, Humberto L. Perotto-Baldivieso, Ronald D. Pritchert, Fiona K. A. Schmiegelow, Amanda L. Sesser, Gregory J. Soulliere, Leona K. Svancara, Stephen C. Torbit, Joseph A. Veech, Kerri T. Vierling, Greg Wathen, David M. Williams, Mark J. Witecha, John M. Yeiser
Author: Clare Brown
Publisher:
ISBN:
Category : Digital mapping
Languages : en
Pages : 156
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Book Description
Author:
Publisher:
ISBN: 9789279408441
Category :
Languages : en
Pages : 56
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Book Description
This article describes the methodology and results of a new JRC phenology-based classification algorithm able to generate accurate land cover map sin a fully automatic manner from Landsat 8 (L8)remote sensed data available since 12th April 2013 at no charge throughout the USGS website. A preliminary study aiming to bypass the single date classification inaccuracy (mainly due to seasonality) using long term MODIS time series as a "driver" to fill gaps between high resolution data, has been carried out. The high global acquisition frequency (~16 days) and distribution policy are making Landsat 8product extremely suitable for near real time land cover mapping and monitoring. Five national parks in east Africa have been selected asstudy areas (Mahale Mountains, Mana Pools, West Lunga, Gorongosa, Tsimanampetsotsa); they are covering diverse eco-regions and vegetation types, from evergreen to deciduous. A buffer of 20km around each park has been considered as well.^Selected single date images were first preprocessed in order to convert raw DN values to top of atmosphere (TOA) reflectance and minimizes spectral differences caused by different acquisition time, sun elevation, sun-earth distance, and after processed by the algorithm to generate a thematic raster map with land cover classes. Is worth noting that the single date classification accuracy is closely related to the acquisition date of the image, the status of the vegetation and weather conditions such as cloud and shadows often present in tropical regions; here the need of developing a phenology based algorithm that considers the vegetation evolution and generates a more accurate land cover map including evergreen and deciduous discrimination on the basis of "frequency" rules. Land cover map shave been created for all parks and an exhaustive accuracy assessment has been carried out on Mahale Mountains and Tsimanampetsotsa.^The combined overall accuracy of 82.8% demonstrates the high potentiality of this method and makes it usable at either local or regional scale.
Author: Lane T. Schmidt
Publisher:
ISBN:
Category : Landscapes
Languages : en
Pages : 116
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Book Description
