國立虎尾科技大學 |

Application of Remotely Sensed Nighttime Light (NTL) Data to Analyze Post-Disaster Response Activity in Houston, Texas.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Application of Remotely Sensed Nighttime Light (NTL) Data to Analyze Post-Disaster Response Activity in Houston, Texas./
Author:	Afroze, Nazia.
Description:	1 online resource (63 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-12.
Contained By:	Masters Abstracts International84-12.
Subject:	Remote sensing. -
Online resource:	click for full text (PQDT)
ISBN:	9798379732295

Application of Remotely Sensed Nighttime Light (NTL) Data to Analyze Post-Disaster Response Activity in Houston, Texas.
Afroze, Nazia.

Application of Remotely Sensed Nighttime Light (NTL) Data to Analyze Post-Disaster Response Activity in Houston, Texas. - 1 online resource (63 pages)

Source: Masters Abstracts International, Volume: 84-12.

Thesis (M.A.)--State University of New York at Binghamton, 2023.

Includes bibliographical references

In the application of remote sensing in studying disasters, nighttime lights (NTL) have always been proven as an effective data source of information. This study analyzes daily NTL data set to observe the changes in human activities in a prolonged power outage event after the winter storm of 2021 in Texas. As the most active response and recovery efforts occur immediately after the disaster, understanding human activities immediately after a disaster will enable the emergency management authority to assist in the relief and reconstruction effort very quickly. This study analyzed high temporal resolution data from NASA's Black Marble night-time lights product suite (VNP46) dataset to observe different phases of a power outage event. After identifying different phases of this disaster event, statistical analysis has been performed to understand the relationships between the analyzed NTL and human activity in different economic areas of the study area.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379732295Subjects--Topical Terms:

557272
Remote sensing.
Subjects--Index Terms:

DisasterIndex Terms--Genre/Form:

554714
Electronic books.

Application of Remotely Sensed Nighttime Light (NTL) Data to Analyze Post-Disaster Response Activity in Houston, Texas.
LDR:02341ntm a22003977 4500 001 1144814
005 20240611104925.5
006 m o d
007 cr mn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798379732295
035 $a (MiAaPQ)AAI30492286
035 $a AAI30492286
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Afroze, Nazia. $3 1469966
245 1 0 $a Application of Remotely Sensed Nighttime Light (NTL) Data to Analyze Post-Disaster Response Activity in Houston, Texas.
264 0 $c 2023
300 $a 1 online resource (63 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: 84-12.
500 $a Advisor: Henry, Norah.
502 $a Thesis (M.A.)--State University of New York at Binghamton, 2023.
504 $a Includes bibliographical references
520 $a In the application of remote sensing in studying disasters, nighttime lights (NTL) have always been proven as an effective data source of information. This study analyzes daily NTL data set to observe the changes in human activities in a prolonged power outage event after the winter storm of 2021 in Texas. As the most active response and recovery efforts occur immediately after the disaster, understanding human activities immediately after a disaster will enable the emergency management authority to assist in the relief and reconstruction effort very quickly. This study analyzed high temporal resolution data from NASA's Black Marble night-time lights product suite (VNP46) dataset to observe different phases of a power outage event. After identifying different phases of this disaster event, statistical analysis has been performed to understand the relationships between the analyzed NTL and human activity in different economic areas of the study area.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Remote sensing. $3 557272
650 4 $a Geography. $3 654331
650 4 $a Geographic information science. $3 1372545
653 $a Disaster
653 $a NTL
653 $a Power outage
653 $a Remote sensing
653 $a Time-series
655 7 $a Electronic books. $2 local $3 554714
690 $a 0799
690 $a 0366
690 $a 0370
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a State University of New York at Binghamton. $b Geography. $3 1187674
773 0 $t Masters Abstracts International $g 84-12.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30492286 $z click for full text (PQDT)