東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Development of remote sensing tools ...

Chavula, Geoffrey Mudolole.

Linked to FindBook

Google Book

Amazon

博客來

Development of remote sensing tools to improve understanding and management of Lake Malawi.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Development of remote sensing tools to improve understanding and management of Lake Malawi./
Author:	Chavula, Geoffrey Mudolole.
Description:	190 p.
Notes:	Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1438.
Contained By:	Dissertation Abstracts International69-03B.
Subject:	Biology, Limnology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3308088
ISBN:	9780549542377

Development of remote sensing tools to improve understanding and management of Lake Malawi.
Chavula, Geoffrey Mudolole.

Development of remote sensing tools to improve understanding and management of Lake Malawi. - 190 p.

Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1438.

Thesis (Ph.D.)--University of Minnesota, 2008.

Degradation of land resources in the drainage basin of Lake Malawi and other lakes of the African Rift Valley has been widespread over the past several decades. Causes for this degradation include inappropriate agricultural practices, indiscriminate disposal of wastes, and increasing population pressure. These factors pose serious threats to water quality in these important lakes. It is difficult and costly to monitor relevant water quality conditions, such as concentrations of chlorophyll-alpha in these large lakes using ground-based methods, and consequently, information on temporal and spatial variations in water quality conditions of these water bodies is quite limited.

ISBN: 9780549542377Subjects--Topical Terms:

1018638
Biology, Limnology.

Development of remote sensing tools to improve understanding and management of Lake Malawi.
LDR:03184nam 2200289 a 45 001 939978
005 20110517
008 110517s2008 ||||||||||||||||| ||eng d
020 $a 9780549542377
035 $a (UMI)AAI3308088
035 $a AAI3308088
040 $a UMI $c UMI
100 1 $a Chavula, Geoffrey Mudolole. $3 1264085
245 1 0 $a Development of remote sensing tools to improve understanding and management of Lake Malawi.
300 $a 190 p.
500 $a Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1438.
502 $a Thesis (Ph.D.)--University of Minnesota, 2008.
520 $a Degradation of land resources in the drainage basin of Lake Malawi and other lakes of the African Rift Valley has been widespread over the past several decades. Causes for this degradation include inappropriate agricultural practices, indiscriminate disposal of wastes, and increasing population pressure. These factors pose serious threats to water quality in these important lakes. It is difficult and costly to monitor relevant water quality conditions, such as concentrations of chlorophyll-alpha in these large lakes using ground-based methods, and consequently, information on temporal and spatial variations in water quality conditions of these water bodies is quite limited.
520 $a Methods that use satellite-based remote sensing data to infer lake clarity and chlorophyll levels have been developed in recent years and have potential for alleviating the problem of inadequate water monitoring data in large lakes in poor and developing countries. In addition to providing data on water quality and trophic state conditions of lakes, satellite imagery has potential for determining water circulation patterns in lakes through maps of lake surface temperature (LST). In turn, LST can be used to locate upwelling zones that may enhance commercial fishing in large deep lakes. Satellite imagery also may be used to characterize and map land use and land cover (LULC). Such information can serve as a basis for studies of the relationships between changes in LULC and lake conditions, such as lake level and water quality.
520 $a This paper describes results of research to develop remote sensing tools to improve the understanding and management of Lake Malawi. It includes three major components, namely: estimating chlorophyll-alpha concentrations in Lake Malawi from MODIS/Terra satellite imagery; assessing the accuracy of existing split-window algorithms to estimate lake surface temperature from AVHRR and MODIS/Terra satellite data; and determining trends in forest cover and other categories of land cover in the Lake Malawi drainage basin based on a normalized vegetation index (NDVI) using a series of AVHRR and MODIS/Terra images acquired over the period 1982-2005, and exploring possible relationships between lake level rise and the degree to which forestland is being converted to cropland in the Lake Malawi Basin.
590 $a School code: 0130.
650 4 $a Biology, Limnology. $3 1018638
650 4 $a Engineering, Civil. $3 783781
650 4 $a Remote Sensing. $3 1018559
690 $a 0543
690 $a 0793
690 $a 0799
710 2 $a University of Minnesota. $3 676231
773 0 $t Dissertation Abstracts International $g 69-03B.
790 $a 0130
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3308088