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Remote sensing for monitoring region...

Hayes, Daniel J.

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Remote sensing for monitoring regional carbon dynamics associated with land cover and land use change along the Mesoamerican Biological Corridor.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Remote sensing for monitoring regional carbon dynamics associated with land cover and land use change along the Mesoamerican Biological Corridor./
Author:	Hayes, Daniel J.
Description:	216 p.
Notes:	Adviser: Warren B. Cohen.
Contained By:	Dissertation Abstracts International68-02B.
Subject:	Agriculture, Forestry and Wildlife. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3252474

Remote sensing for monitoring regional carbon dynamics associated with land cover and land use change along the Mesoamerican Biological Corridor.
Hayes, Daniel J.

Remote sensing for monitoring regional carbon dynamics associated with land cover and land use change along the Mesoamerican Biological Corridor. - 216 p.

Adviser: Warren B. Cohen.

Thesis (Ph.D.)--Oregon State University, 2007.

Human activities are causing profound changes to the global environment, yet the potential consequences of these changes on rising atmospheric carbon dioxide and climate change are not well understood. Improving our understanding of these processes requires an enhanced awareness of how global ecosystems are changing and how these changes affect the global carbon cycle. Tropical ecosystems are considered crucial to the global carbon budget, and more reliable data on the rates and extent of land cover and land use changes in these ecosystems are needed to reduce the uncertainty of global carbon flux estimates. Spatially explicit and repeatable observations from remotely sensed data offer the best opportunity for monitoring the rapid changes taking place over large spatial scales in tropical ecosystems.Subjects--Topical Terms:

783690
Agriculture, Forestry and Wildlife.

Remote sensing for monitoring regional carbon dynamics associated with land cover and land use change along the Mesoamerican Biological Corridor.
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005 20110915
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035 $a (UMI)AAI3252474
035 $a AAI3252474
040 $a UMI $c UMI
100 1 $a Hayes, Daniel J. $3 1292093
245 1 0 $a Remote sensing for monitoring regional carbon dynamics associated with land cover and land use change along the Mesoamerican Biological Corridor.
300 $a 216 p.
500 $a Adviser: Warren B. Cohen.
500 $a Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 0686.
502 $a Thesis (Ph.D.)--Oregon State University, 2007.
520 $a Human activities are causing profound changes to the global environment, yet the potential consequences of these changes on rising atmospheric carbon dioxide and climate change are not well understood. Improving our understanding of these processes requires an enhanced awareness of how global ecosystems are changing and how these changes affect the global carbon cycle. Tropical ecosystems are considered crucial to the global carbon budget, and more reliable data on the rates and extent of land cover and land use changes in these ecosystems are needed to reduce the uncertainty of global carbon flux estimates. Spatially explicit and repeatable observations from remotely sensed data offer the best opportunity for monitoring the rapid changes taking place over large spatial scales in tropical ecosystems.
520 $a As an important regional case study among global-wide efforts to understand land cover and land use change and its effects on terrestrial carbon dynamics, the objective of this research was to develop and test models based on high temporal frequency MODIS data for monitoring land cover changes and modeling associated carbon flux over tropical Central America. The first chapter introduces the issue involved with the development of a methodology for scaling observations of changes in tropical forest cover to large areas at high temporal frequency from coarse resolution satellite imagery. The approach for estimating proportional forest cover change as a continuous variable was based on a regression model that relates multi-spectral, multi-temporal MODIS data, transformed to optimize the spectral detection of vegetation changes, to reference change data sets derived from a Landsat data record for an individual study site. Chapter 2 reports on a series of fundamental analyses designed to test and compare the utility of various MODIS data and products for expanding the forest cover change models over multiple study sites and time periods. The study described in Chapter 3 integrates satellite-derived data sets on land cover and land use change with field-based parameters on terrestrial carbon stocks and flux in a simple accounting model to track carbon dynamics associated with these changes.
590 $a School code: 0172.
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
650 4 $a Biology, Ecology. $3 1017726
650 4 $a Environmental Sciences. $3 676987
650 4 $a Remote Sensing. $3 1018559
690 $a 0329
690 $a 0478
690 $a 0768
690 $a 0799
710 2 0 $a Oregon State University. $3 625720
773 0 $t Dissertation Abstracts International $g 68-02B.
790 $a 0172
790 1 0 $a Cohen, Warren B., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3252474