東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Multispectral/multitemporal aerial detection and mapping of red imported fire ant colony mounds in two monoculutural grass types.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multispectral/multitemporal aerial detection and mapping of red imported fire ant colony mounds in two monoculutural grass types./
Author:	Carruth, Mark Ellis.
Description:	1 online resource (69 pages)
Notes:	Source: Masters Abstracts International, Volume: 73-01.
Contained By:	Masters Abstracts International73-01.
Subject:	Entomology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1491034click for full text (PQDT)
ISBN:	9781124587929

Multispectral/multitemporal aerial detection and mapping of red imported fire ant colony mounds in two monoculutural grass types.
Carruth, Mark Ellis.

Multispectral/multitemporal aerial detection and mapping of red imported fire ant colony mounds in two monoculutural grass types. - 1 online resource (69 pages)

Source: Masters Abstracts International, Volume: 73-01.

Thesis (M.S.)--Mississippi State University, 2011.

Includes bibliographical references

The red imported fire ant (Solenopsis invicta)(RIFA) is a major pest in the United States, causing serious economic and human costs. This study explored the feasibility of using digital aerial remote sensing in multispectral/multitemporal detection and mapping of RIFA mounds. Comparison of photointerpretive mound counts versus ground control counts was performed within two grass types, common Bermuda and tall fescue. Flights collecting digital image data occurred at three intervals in 2009, with ground truth data collected collaterally. Poisson regression count modeling was first utilized for analysis of both datasets. Moran's Index geospatial analysis was applied following the Poisson model. Outcomes in this study from these models demonstrate their ability to robustly support studies for tracking and control of RIFA or other pest populations. Additionally, in one location, type of grass cover appeared to affect detectability of mounds between the two methods. Key words: aerial, image, multispectral, Poisson, Moran's, ants, grass.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9781124587929Subjects--Topical Terms:

615844
Entomology.
Subjects--Index Terms:

AerialIndex Terms--Genre/Form:

542853
Electronic books.

Multispectral/multitemporal aerial detection and mapping of red imported fire ant colony mounds in two monoculutural grass types.
LDR:02522nmm a2200433K 4500 001 2361159
005 20231023072057.5
006 m o d
007 cr mn ---uuuuu
008 241011s2011 xx obm 000 0 eng d
020 $a 9781124587929
035 $a (MiAaPQ)AAI1491034
035 $a (MiAaPQ)msstate:10717
035 $a AAI1491034
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Carruth, Mark Ellis. $3 3701813
245 1 0 $a Multispectral/multitemporal aerial detection and mapping of red imported fire ant colony mounds in two monoculutural grass types.
264 0 $c 2011
300 $a 1 online resource (69 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 73-01.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Rodgers, John C.
502 $a Thesis (M.S.)--Mississippi State University, 2011.
504 $a Includes bibliographical references
520 $a The red imported fire ant (Solenopsis invicta)(RIFA) is a major pest in the United States, causing serious economic and human costs. This study explored the feasibility of using digital aerial remote sensing in multispectral/multitemporal detection and mapping of RIFA mounds. Comparison of photointerpretive mound counts versus ground control counts was performed within two grass types, common Bermuda and tall fescue. Flights collecting digital image data occurred at three intervals in 2009, with ground truth data collected collaterally. Poisson regression count modeling was first utilized for analysis of both datasets. Moran's Index geospatial analysis was applied following the Poisson model. Outcomes in this study from these models demonstrate their ability to robustly support studies for tracking and control of RIFA or other pest populations. Additionally, in one location, type of grass cover appeared to affect detectability of mounds between the two methods. Key words: aerial, image, multispectral, Poisson, Moran's, ants, grass.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Entomology. $3 615844
650 4 $a Geographic information science. $3 3432445
650 4 $a Statistics. $3 517247
653 $a Aerial
653 $a Ants
653 $a Image
653 $a Moran's
653 $a Multispectral
653 $a Poisson
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0353
690 $a 0370
690 $a 0463
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Mississippi State University. $b Geosciences. $3 1018556
773 0 $t Masters Abstracts International $g 73-01.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1491034 $z click for full text (PQDT)