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

Analysis of MODIS 250 m NDVI Using D...

Lee, Eunmok.

Linked to FindBook

Google Book

Amazon

博客來

Analysis of MODIS 250 m NDVI Using Different Time-Series Data for Crop Type Separability.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analysis of MODIS 250 m NDVI Using Different Time-Series Data for Crop Type Separability./
Author:	Lee, Eunmok.
Description:	102 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-04(E), Section: B.
Contained By:	Dissertation Abstracts International76-04B(E).
Subject:	Remote Sensing. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3646990
ISBN:	9781321371239

Analysis of MODIS 250 m NDVI Using Different Time-Series Data for Crop Type Separability.
Lee, Eunmok.

Analysis of MODIS 250 m NDVI Using Different Time-Series Data for Crop Type Separability. - 102 p.

Source: Dissertation Abstracts International, Volume: 76-04(E), Section: B.

Thesis (Ph.D.)--University of Kansas, 2014.

This item must not be sold to any third party vendors.

The primary objectives of this research were to: (1) investigate the use of different compositing periods of NDVI values of time-series MODIS 250 m data for distinguishing major crop types on the central Great Plains of the U.S. and (2) analyze collection 5 versus collection 4 time-series MODIS 250 m NDVI data to separate crop types.

ISBN: 9781321371239Subjects--Topical Terms:

1018559
Remote Sensing.

Analysis of MODIS 250 m NDVI Using Different Time-Series Data for Crop Type Separability.
LDR:03070nmm a2200349 4500 001 2057121
005 20150630140244.5
008 170521s2014 ||||||||||||||||| ||eng d
020 $a 9781321371239
035 $a (MiAaPQ)AAI3646990
035 $a AAI3646990
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lee, Eunmok. $3 3170930
245 1 0 $a Analysis of MODIS 250 m NDVI Using Different Time-Series Data for Crop Type Separability.
300 $a 102 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-04(E), Section: B.
500 $a Adviser: Stephen Egbert.
502 $a Thesis (Ph.D.)--University of Kansas, 2014.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a The primary objectives of this research were to: (1) investigate the use of different compositing periods of NDVI values of time-series MODIS 250 m data for distinguishing major crop types on the central Great Plains of the U.S. and (2) analyze collection 5 versus collection 4 time-series MODIS 250 m NDVI data to separate crop types.
520 $a NDVI profiles extracted from different compositing periods for 2001 and 2005 were analyzed to see whether 8-day (and dual-8-day) composited NDVI data, as compared to 16-day composited NDVI data, would show finer scale spectral-temporal variability that would result in improved crop separability. NDVI value profiles were also extracted from different collection versions (4 and 5) for 2001 and 2005 (collection 5 only). Phenological curves for all crops and all datasets were created and visually inspected and JM distance statistical analysis was performed to compare separability of the crops for both the compositing period analysis and the collection version analysis.
520 $a Major conclusions and findings for the compositing period analysis include: (1) there are statistical differences among the different compositing period datasets, (2) time-series data that have shorter compositing periods are more effective in separating crop types, and (3) any observed differences should be interpreted with care and in the context of variations in environmental conditions for a given growing season. For the collection version analysis the major finding was that, contrary to expectations, the most recent version of time-series MODIS 250 m data (version 5) was inferior to version 4 in terms of crop separability; however the analysis did not suggest reasons for the outcome. As a result of this research, it is tentatively recommended (subject to further research) that MODIS NDVI data (a) from a shorter 8-day compositing period and (b) from collection 4 should be used where possible for crop-type mapping in the study region.
590 $a School code: 0099.
650 4 $a Remote Sensing. $3 1018559
650 4 $a Geodesy. $3 550741
650 4 $a Land Use Planning. $3 1673684
650 4 $a Agriculture, Agronomy. $3 1018679
690 $a 0799
690 $a 0370
690 $a 0536
690 $a 0285
710 2 $a University of Kansas. $b Geography. $3 1264904
773 0 $t Dissertation Abstracts International $g 76-04B(E).
790 $a 0099
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3646990