Application of multi-temporal satellite images to sand dune change detection in Chang-Pin industry area

碩士 === 國立中興大學 === 土木工程學系所 === 98 === Chang-Pin industry area reclamation to pump sand formation. Financial investment estimated to exceed hundred billion dollars. Since 1980 has developed more than 30 years. In recent years winter there have been news reports from the blowing of the Ocean Park, wind...

Full description

Bibliographic Details
Main Authors: Hsi-Chin Huang, 黃錫欽
Other Authors: Ming-Der Yang
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/67647176490924746686
id ndltd-TW-098NCHU5015005
record_format oai_dc
spelling ndltd-TW-098NCHU50150052015-11-11T04:15:20Z http://ndltd.ncl.edu.tw/handle/67647176490924746686 Application of multi-temporal satellite images to sand dune change detection in Chang-Pin industry area 應用多時期衛星影像於彰濱工業區風沙變遷分析 Hsi-Chin Huang 黃錫欽 碩士 國立中興大學 土木工程學系所 98 Chang-Pin industry area reclamation to pump sand formation. Financial investment estimated to exceed hundred billion dollars. Since 1980 has developed more than 30 years. In recent years winter there have been news reports from the blowing of the Ocean Park, windblown sand across the road. Piled up Lun Wei area formation of a desert, etc.. This paper in order to Chang-Pin industry area of satellite images, with the ground survey data to image change analysis to understand the Chang-Pin industry area Lun Wei area of the sand change situation. Research methods mainly using 2001/3/4, 2001/10/23, 2002/09/27, 2003/06/21, 2004/07/25, 2005/08/26, 2006/10/25, 2007/10 / 18,2008 / 08/06, 9 satellite images NDVI values in each of the pieces of images. Then use of unsupervised classification method, separation of 12 categories. Then the situation in accordance with ground surveys to be combined into five categories, namely water, sand , the bare ground, grass and green belt, Useing 2007/10/24 1/5000 Aerial photographs for classification accuracy assessment and then according to the same classification method remove the sand part of the annual image to give a different encoding. Use of overlap between different years to conduct change analysis and comparison are post-classification comparison method for quantitative analysis of the changes. From 2001 to 2008 image analysis showed that changes in the Chang-Pin industry area Lun Wei hit by severe sandstorms. According to satellite images in 2008 reached 100 hectares of the calculation (15689PIXEL * 64 m = 1,004,096 ㎡). According to the findings each year to 6 ~ 10 hectares rate increased and expanded. Sand dune and the northeast monsoon wind directions in the same for the north east. Mainly accumulating sand areas to the west of the rate of expansion. The current stability prevailing in the east part of the stable equilibrium fluctuated style. The south each year to 90 ~ 160 meters from the west end of the second district Lun Wei northeast, according to research findings about 4 to 7 years to reach. Ming-Der Yang 楊明德 學位論文 ; thesis 117 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中興大學 === 土木工程學系所 === 98 === Chang-Pin industry area reclamation to pump sand formation. Financial investment estimated to exceed hundred billion dollars. Since 1980 has developed more than 30 years. In recent years winter there have been news reports from the blowing of the Ocean Park, windblown sand across the road. Piled up Lun Wei area formation of a desert, etc.. This paper in order to Chang-Pin industry area of satellite images, with the ground survey data to image change analysis to understand the Chang-Pin industry area Lun Wei area of the sand change situation. Research methods mainly using 2001/3/4, 2001/10/23, 2002/09/27, 2003/06/21, 2004/07/25, 2005/08/26, 2006/10/25, 2007/10 / 18,2008 / 08/06, 9 satellite images NDVI values in each of the pieces of images. Then use of unsupervised classification method, separation of 12 categories. Then the situation in accordance with ground surveys to be combined into five categories, namely water, sand , the bare ground, grass and green belt, Useing 2007/10/24 1/5000 Aerial photographs for classification accuracy assessment and then according to the same classification method remove the sand part of the annual image to give a different encoding. Use of overlap between different years to conduct change analysis and comparison are post-classification comparison method for quantitative analysis of the changes. From 2001 to 2008 image analysis showed that changes in the Chang-Pin industry area Lun Wei hit by severe sandstorms. According to satellite images in 2008 reached 100 hectares of the calculation (15689PIXEL * 64 m = 1,004,096 ㎡). According to the findings each year to 6 ~ 10 hectares rate increased and expanded. Sand dune and the northeast monsoon wind directions in the same for the north east. Mainly accumulating sand areas to the west of the rate of expansion. The current stability prevailing in the east part of the stable equilibrium fluctuated style. The south each year to 90 ~ 160 meters from the west end of the second district Lun Wei northeast, according to research findings about 4 to 7 years to reach.
author2 Ming-Der Yang
author_facet Ming-Der Yang
Hsi-Chin Huang
黃錫欽
author Hsi-Chin Huang
黃錫欽
spellingShingle Hsi-Chin Huang
黃錫欽
Application of multi-temporal satellite images to sand dune change detection in Chang-Pin industry area
author_sort Hsi-Chin Huang
title Application of multi-temporal satellite images to sand dune change detection in Chang-Pin industry area
title_short Application of multi-temporal satellite images to sand dune change detection in Chang-Pin industry area
title_full Application of multi-temporal satellite images to sand dune change detection in Chang-Pin industry area
title_fullStr Application of multi-temporal satellite images to sand dune change detection in Chang-Pin industry area
title_full_unstemmed Application of multi-temporal satellite images to sand dune change detection in Chang-Pin industry area
title_sort application of multi-temporal satellite images to sand dune change detection in chang-pin industry area
url http://ndltd.ncl.edu.tw/handle/67647176490924746686
work_keys_str_mv AT hsichinhuang applicationofmultitemporalsatelliteimagestosanddunechangedetectioninchangpinindustryarea
AT huángxīqīn applicationofmultitemporalsatelliteimagestosanddunechangedetectioninchangpinindustryarea
AT hsichinhuang yīngyòngduōshíqīwèixīngyǐngxiàngyúzhāngbīngōngyèqūfēngshābiànqiānfēnxī
AT huángxīqīn yīngyòngduōshíqīwèixīngyǐngxiàngyúzhāngbīngōngyèqūfēngshābiànqiānfēnxī
_version_ 1718127703818764288