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On the integration of ecology in rem...

Dobrowski, Solomon Zev.

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On the integration of ecology in remote sensing science.

Record Type:	Electronic resources : Monograph/item
Title/Author:	On the integration of ecology in remote sensing science./
Author:	Dobrowski, Solomon Zev.
Description:	135 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-10, Section: B, page: 5193.
Contained By:	Dissertation Abstracts International66-10B.
Subject:	Biology, Ecology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3191113
ISBN:	9780542346255

On the integration of ecology in remote sensing science.
Dobrowski, Solomon Zev.

On the integration of ecology in remote sensing science. - 135 p.

Source: Dissertation Abstracts International, Volume: 66-10, Section: B, page: 5193.

Thesis (Ph.D.)--University of California, Davis, 2005.

Remotely sensed data is increasingly being used by ecologists to answer a wide array of questions in their respective fields. In order to fully take advantage of the potential of these types of data, ecologists should engage actively in the remote sensing problem. To these ends, ecologists can look within their own discipline for a wealth of principles and techniques for integrating remote sensing methodologies in the science they practice. In this dissertation I highlight three general areas in which advances in ecological sciences have the potential to improve remote sensing science, and consequently, result in improved tools for ecological research. These areas are: (1) Physiological ecology; (2) Sampling design and spatial considerations; (3) Species Distribution modeling. In the first chapter I outline an experiment that develops a direct and more mechanistic relationship between passively collected spectral data and plant photosynthetic functioning through the characterization of photochemical and nonphotochemical quenching and its effects on steady-state fluorescence. I found that simple reflectance indices can track heat and water stress induced changes in steady-state fluorescence at the canopy scale. This technique takes advantage of advances in physiological ecology to make remote and rapid measurements of plant stress in real-time. The second and third chapters are case studies in vegetation mapping within the Lake Tahoe Basin and within the American River watershed. In these studies I utilize sample stratification techniques for locating plots in support of the mapping process. Additionally, I incorporate regression based distribution modeling in the mapping process in order to distill the large number of topographic variables available, into ecologically meaningful response surfaces that can be incorporated into the classification problem. I found that incorporating general additive modeling results in the mapping process results in consistent and large improvements in map accuracy. This work provides an avenue for ecologists to incorporate knowledge of species autecology into the classification problem and thus provides for a stronger link between the disciplines of remote sensing and applied vegetation science.

ISBN: 9780542346255Subjects--Topical Terms:

1017726
Biology, Ecology.

On the integration of ecology in remote sensing science.
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500 $a Source: Dissertation Abstracts International, Volume: 66-10, Section: B, page: 5193.
500 $a Adviser: Susan Ustin.
502 $a Thesis (Ph.D.)--University of California, Davis, 2005.
520 $a Remotely sensed data is increasingly being used by ecologists to answer a wide array of questions in their respective fields. In order to fully take advantage of the potential of these types of data, ecologists should engage actively in the remote sensing problem. To these ends, ecologists can look within their own discipline for a wealth of principles and techniques for integrating remote sensing methodologies in the science they practice. In this dissertation I highlight three general areas in which advances in ecological sciences have the potential to improve remote sensing science, and consequently, result in improved tools for ecological research. These areas are: (1) Physiological ecology; (2) Sampling design and spatial considerations; (3) Species Distribution modeling. In the first chapter I outline an experiment that develops a direct and more mechanistic relationship between passively collected spectral data and plant photosynthetic functioning through the characterization of photochemical and nonphotochemical quenching and its effects on steady-state fluorescence. I found that simple reflectance indices can track heat and water stress induced changes in steady-state fluorescence at the canopy scale. This technique takes advantage of advances in physiological ecology to make remote and rapid measurements of plant stress in real-time. The second and third chapters are case studies in vegetation mapping within the Lake Tahoe Basin and within the American River watershed. In these studies I utilize sample stratification techniques for locating plots in support of the mapping process. Additionally, I incorporate regression based distribution modeling in the mapping process in order to distill the large number of topographic variables available, into ecologically meaningful response surfaces that can be incorporated into the classification problem. I found that incorporating general additive modeling results in the mapping process results in consistent and large improvements in map accuracy. This work provides an avenue for ecologists to incorporate knowledge of species autecology into the classification problem and thus provides for a stronger link between the disciplines of remote sensing and applied vegetation science.
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650 4 $a Remote Sensing. $3 1018559
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