東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Assessing the Accuracy of Landsat-De...

Hagan, John A.

FindBook

Google Book

Amazon

博客來

Assessing the Accuracy of Landsat-Derived Stream Temperature for Use in Juvenile Salmonid Habitat Assessments on the Anchor River, Alaska.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Assessing the Accuracy of Landsat-Derived Stream Temperature for Use in Juvenile Salmonid Habitat Assessments on the Anchor River, Alaska./
作者:	Hagan, John A.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	69 p.
附註:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04(E).
標題:	Environmental science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10274017
ISBN:	9781369729344

Assessing the Accuracy of Landsat-Derived Stream Temperature for Use in Juvenile Salmonid Habitat Assessments on the Anchor River, Alaska.
Hagan, John A.

Assessing the Accuracy of Landsat-Derived Stream Temperature for Use in Juvenile Salmonid Habitat Assessments on the Anchor River, Alaska. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 69 p.

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.S.E.S.)--Alaska Pacific University, 2017.

This thesis investigates the environmental variables that influence the accuracy of Landsat 8 thermal infrared (TIR) imagery-derived stream temperatures in a ground-truthing study on the Anchor River basin in Southcentral Alaska. From May 1st to September 30th, 2015, in-situ temperature data were collected concurrently with the remotely sensed Landsat 8 TIR images at ten field sites throughout the Anchor River watershed. At each field site, stream delineations were preformed to assess the influence of riparian vegetation, stream morphology, discharge, and air temperature on TIR-derived stream temperatures. The accuracy of TIR data was assessed by calculating the Landsat Thermal Offset (LTO), the difference between TIR-derived temperature and the in-situ stream temperature (TIR -- In-situ =LTO). A Generalized Additive Model (GAM) was employed to examine the relationship between environmental variables and LTO. Model selection with Akaike information criterion (AIC) determined that Rosgen Stream Classification (Rosclass), 7-day trends in stream discharge (Gagediff), and daily average air temperature (Airdaily ) were strongly associated with Landsat 8 thermal offset (LTO). Stability in stream discharge (Gagediff = +/-0.2 ft.) in the week preceding a Landsat TIR data collection event, coupled with stream morphology characteristics consistent with Rosclass B and C reaches, were associated with the highest accuracy of raw Landsat TIR-derived stream temperatures. Across all sites and dates, GAM regressions accurately translated raw Landsat TIR data into temperatures reflecting in-situ water temperatures in small order streams. While regression analyses supported Rosclass, Gagediff, and Airdaily environmental covariates as being influential in explaining LTO, the underlying mechanisms that these variables reflect remains an open question. These variables may indicate conditions that lead to stream stratification, or alternatively, may reflect other environmental processes leading to stronger temperature differentials between temperature in the stream and that on the surrounding riparian land. Continued validation efforts in other high latitude watersheds over longer time periods will be important for testing the robustness of methods to utilize Landsat TIR-based stream temperature predictions, progressing towards a goal of providing a broad-scale tool for fisheries and watershed managers to assess the degree of, and potential impacts from, climate change on Alaskan freshwater aquatic and fishery resources.

ISBN: 9781369729344Subjects--Topical Terms:

677245
Environmental science.

Assessing the Accuracy of Landsat-Derived Stream Temperature for Use in Juvenile Salmonid Habitat Assessments on the Anchor River, Alaska.
LDR:03561nmm a2200313 4500 001 2158712
005 20180618102543.5
008 190424s2017 ||||||||||||||||| ||eng d
020 $a 9781369729344
035 $a (MiAaPQ)AAI10274017
035 $a (MiAaPQ)alaskapac:10074
035 $a AAI10274017
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hagan, John A. $3 3346544
245 1 0 $a Assessing the Accuracy of Landsat-Derived Stream Temperature for Use in Juvenile Salmonid Habitat Assessments on the Anchor River, Alaska.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 69 p.
500 $a Source: Masters Abstracts International, Volume: 56-04.
500 $a Adviser: Bradley P. Harris.
502 $a Thesis (M.S.E.S.)--Alaska Pacific University, 2017.
520 $a This thesis investigates the environmental variables that influence the accuracy of Landsat 8 thermal infrared (TIR) imagery-derived stream temperatures in a ground-truthing study on the Anchor River basin in Southcentral Alaska. From May 1st to September 30th, 2015, in-situ temperature data were collected concurrently with the remotely sensed Landsat 8 TIR images at ten field sites throughout the Anchor River watershed. At each field site, stream delineations were preformed to assess the influence of riparian vegetation, stream morphology, discharge, and air temperature on TIR-derived stream temperatures. The accuracy of TIR data was assessed by calculating the Landsat Thermal Offset (LTO), the difference between TIR-derived temperature and the in-situ stream temperature (TIR -- In-situ =LTO). A Generalized Additive Model (GAM) was employed to examine the relationship between environmental variables and LTO. Model selection with Akaike information criterion (AIC) determined that Rosgen Stream Classification (Rosclass), 7-day trends in stream discharge (Gagediff), and daily average air temperature (Airdaily ) were strongly associated with Landsat 8 thermal offset (LTO). Stability in stream discharge (Gagediff = +/-0.2 ft.) in the week preceding a Landsat TIR data collection event, coupled with stream morphology characteristics consistent with Rosclass B and C reaches, were associated with the highest accuracy of raw Landsat TIR-derived stream temperatures. Across all sites and dates, GAM regressions accurately translated raw Landsat TIR data into temperatures reflecting in-situ water temperatures in small order streams. While regression analyses supported Rosclass, Gagediff, and Airdaily environmental covariates as being influential in explaining LTO, the underlying mechanisms that these variables reflect remains an open question. These variables may indicate conditions that lead to stream stratification, or alternatively, may reflect other environmental processes leading to stronger temperature differentials between temperature in the stream and that on the surrounding riparian land. Continued validation efforts in other high latitude watersheds over longer time periods will be important for testing the robustness of methods to utilize Landsat TIR-based stream temperature predictions, progressing towards a goal of providing a broad-scale tool for fisheries and watershed managers to assess the degree of, and potential impacts from, climate change on Alaskan freshwater aquatic and fishery resources.
590 $a School code: 1437.
650 4 $a Environmental science. $3 677245
650 4 $a Remote sensing. $3 535394
650 4 $a Aquatic sciences. $3 3174300
690 $a 0768
690 $a 0799
690 $a 0792
710 2 $a Alaska Pacific University. $b Environmental Science. $3 3169752
773 0 $t Masters Abstracts International $g 56-04(E).
790 $a 1437
791 $a M.S.E.S.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10274017