Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620330
Lin Wang, Han-qiu Xu
This study was based on two Landsat TM/ETM+ images acquired in 1996 and 2003 respectively and some necessary ground-based meteorological data. The surface energy balance algorithm for land (SEBAL) has been used in this thesis to extract the information of evapotranspiration. The urban heat island and urban expansion of the area were also extracted and related to the information of evapotranspiration to see their interaction for the urban heat environmental changes during this period.
{"title":"Study on the information extraction of Evapo-transpiration and its relation with the urban heat island and urban expansion in Fuzhou City with its surrounding areas of SE China","authors":"Lin Wang, Han-qiu Xu","doi":"10.1109/EORSA.2008.4620330","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620330","url":null,"abstract":"This study was based on two Landsat TM/ETM+ images acquired in 1996 and 2003 respectively and some necessary ground-based meteorological data. The surface energy balance algorithm for land (SEBAL) has been used in this thesis to extract the information of evapotranspiration. The urban heat island and urban expansion of the area were also extracted and related to the information of evapotranspiration to see their interaction for the urban heat environmental changes during this period.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116492843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620308
Ying Hou, Guizhong Liu
In this paper, we propose a hyperspectral image lossy-to-lossless compression coder based on the Three-Dimensional Embedded ZeroBlock Coding (3D EZBC) algorithm. This coder adopts the three-dimensional integer wavelet packet transform with unitary scaling to decorrelate and the 3D EZBC algorithm without motion compensation to process bitplane zeroblock coding. For hyperspectral image compression using the 3D EZBC algorithm, the lossy-to-lossless compression performances are compared on the basis of the diverse 3D wavelet transform structures and wavelet filters. Moreover, experimental results show that our coder outperforms other state-of-the-art wavelet-based algorithms (3D SPECK, 3D SPIHT, AT-3D SPIHT and JPEG2000-MC) in the integer-based lossy mode by 0.2 ~ 1.3 dB on average, and lossless coding performance of 3D EZBC is about 5% ~ 7% better than that of 3D SPECK, 3D SPIHT and AT-3D SPIHT. So the 3D EZBC algorithm is also a good candidate to compress hyperspectral images.
{"title":"Hyperspectral image lossy-to-lossless compression using the 3D Embedded Zeroblock Coding alogrithm","authors":"Ying Hou, Guizhong Liu","doi":"10.1109/EORSA.2008.4620308","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620308","url":null,"abstract":"In this paper, we propose a hyperspectral image lossy-to-lossless compression coder based on the Three-Dimensional Embedded ZeroBlock Coding (3D EZBC) algorithm. This coder adopts the three-dimensional integer wavelet packet transform with unitary scaling to decorrelate and the 3D EZBC algorithm without motion compensation to process bitplane zeroblock coding. For hyperspectral image compression using the 3D EZBC algorithm, the lossy-to-lossless compression performances are compared on the basis of the diverse 3D wavelet transform structures and wavelet filters. Moreover, experimental results show that our coder outperforms other state-of-the-art wavelet-based algorithms (3D SPECK, 3D SPIHT, AT-3D SPIHT and JPEG2000-MC) in the integer-based lossy mode by 0.2 ~ 1.3 dB on average, and lossless coding performance of 3D EZBC is about 5% ~ 7% better than that of 3D SPECK, 3D SPIHT and AT-3D SPIHT. So the 3D EZBC algorithm is also a good candidate to compress hyperspectral images.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117245675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620343
X. Yue, G. Huang
This paper introduces an ortho-rectification method of airborne SAR images which is multi-photo combined adjustment method in the circumstances of a few Ground Control Points (GCPs). Multi-photo combined adjustment model and adjustment conditions are given, and the number and distribution of GCPs, pass points is analyzed in this paper. Two adjustment experiments have been done with one-meter resolution airborne SAR images in Chengdu study site. In the two experiments, the GCPs and the Pass Points are distributed rationally in each image. The two experimental results show that the coordinate accuracy of Pass Points is feasible for 1:10 000 scale ortho-image making and topographic map updating. Compared with traditional ortho-rectification, which needs more than six GCPs in single image, this method reduces ground control work dramatically.
{"title":"Multi-photo combined adjustment with airborne SAR images based on a few ground control points","authors":"X. Yue, G. Huang","doi":"10.1109/EORSA.2008.4620343","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620343","url":null,"abstract":"This paper introduces an ortho-rectification method of airborne SAR images which is multi-photo combined adjustment method in the circumstances of a few Ground Control Points (GCPs). Multi-photo combined adjustment model and adjustment conditions are given, and the number and distribution of GCPs, pass points is analyzed in this paper. Two adjustment experiments have been done with one-meter resolution airborne SAR images in Chengdu study site. In the two experiments, the GCPs and the Pass Points are distributed rationally in each image. The two experimental results show that the coordinate accuracy of Pass Points is feasible for 1:10 000 scale ortho-image making and topographic map updating. Compared with traditional ortho-rectification, which needs more than six GCPs in single image, this method reduces ground control work dramatically.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128168070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620322
Fengyun Mu, Zengxiang Zhang
The urban space expansion is an important indicator for measuring urbanization level. Based on one Landsat MSS image and three Landsat TM images, the urban built-up characteristic of Hong Kong and its impact on the peripheral land during 1973-2004 was analyzed. Meanwhile based on two Landsat MSS and five Landsat TM images, the urban built-up chacctersitic of Macao and its impact on the peripheral land during 1973-2004 was analyzed. The urban area was 59.95 km2 in 1973 and increased to 207.70 km2 in 2004, the built-up area increased by 147.75 km2 during the past 31 years and expanded 4.77 km2 per year. While, in Macao, the urban area was 6.45 km2 in 1973 and increased to 22.47 km2 in 2004, the built-up area increased by 16.02 km2 during the past 31 years and expanded 0.52 km2 per year. The built-up area of both Hong Kong and Macao expanded around the old area and did not present manifest change in a certain direction. The expansion rate was distinct from each other. The increased built-up area of Hong Kong originates from different land use type, of which about 33.28% converted from sea, and 13.34% converted from rural area and dependent factory, diggings land and other construction area. The other mainly came from arable that accounts for 39.93% of the whole added built-up area. The urban construction of Macao formed according the transport condition historically. The built-up area expanded homocentricly along with the newly built road. The built-up area located mainly in Macao peninsula and expanded towards two islands of Taipa and Coloane. The expansion rate was distinct in different time. Many factors have contributed to the urban land use changes. But four major driving forces, population growth, economic increase, transportation infrastructure improvement and institution and policy change, are the most important factors. Population growth can simulate the built-up area manifestly, the economic increase is the main impetus of the land use, and the transportation infrastructure improvement is the impetus for the urban expansion, while the institution and policy change determine the macroscopical development and expansion pattern in some degree.
{"title":"A comparative study of urban expansion on Hong Kong and Macao special administrative region in the past three decades","authors":"Fengyun Mu, Zengxiang Zhang","doi":"10.1109/EORSA.2008.4620322","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620322","url":null,"abstract":"The urban space expansion is an important indicator for measuring urbanization level. Based on one Landsat MSS image and three Landsat TM images, the urban built-up characteristic of Hong Kong and its impact on the peripheral land during 1973-2004 was analyzed. Meanwhile based on two Landsat MSS and five Landsat TM images, the urban built-up chacctersitic of Macao and its impact on the peripheral land during 1973-2004 was analyzed. The urban area was 59.95 km2 in 1973 and increased to 207.70 km2 in 2004, the built-up area increased by 147.75 km2 during the past 31 years and expanded 4.77 km2 per year. While, in Macao, the urban area was 6.45 km2 in 1973 and increased to 22.47 km2 in 2004, the built-up area increased by 16.02 km2 during the past 31 years and expanded 0.52 km2 per year. The built-up area of both Hong Kong and Macao expanded around the old area and did not present manifest change in a certain direction. The expansion rate was distinct from each other. The increased built-up area of Hong Kong originates from different land use type, of which about 33.28% converted from sea, and 13.34% converted from rural area and dependent factory, diggings land and other construction area. The other mainly came from arable that accounts for 39.93% of the whole added built-up area. The urban construction of Macao formed according the transport condition historically. The built-up area expanded homocentricly along with the newly built road. The built-up area located mainly in Macao peninsula and expanded towards two islands of Taipa and Coloane. The expansion rate was distinct in different time. Many factors have contributed to the urban land use changes. But four major driving forces, population growth, economic increase, transportation infrastructure improvement and institution and policy change, are the most important factors. Population growth can simulate the built-up area manifestly, the economic increase is the main impetus of the land use, and the transportation infrastructure improvement is the impetus for the urban expansion, while the institution and policy change determine the macroscopical development and expansion pattern in some degree.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126859983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620313
Xinlian Liang, P. Litkey, J. Hyyppä, A. Kukko, H. Kaartinen, M. Holopainen
The applicability of terrestrial laser scanning (TLS) data for quantitative forest inventory has received increasing attention in the last decade. So far, research has been carried out for individual trunk modeling and plot-level forest parameter determination mainly from multi-scan-mode (MSM) TLS data. While MSM data, on the average, provide whole coverage of trunk and potentially lead to high reconstruction accuracy, it is of rising practical interest to study how well one-scan-mode (OSM) laser data could provide plot-level forest information, e.g. location, number of trees and breast height diameter of individual trees, in mainly one-storey stands, with lower expense, faster data collection and enhanced processing to collect e.g. reference and calibration data for airborne laser scanning based forest inventory. In general, to achieve plot-level trunk modeling, three main problems need to be solved. First, meaningful laser points need to be identified from data set, originally consisting of several millions points, for computational reasons; second, trunk points need to be recognized as precisely as possible, to facilitate localized modeling process; third, trunk reconstruction needs to be automatic and computationally acceptable, to give certain level details, but still enable fast processing. In this paper, a new tree detecting and trunk modeling mechanism is proposed, based on point distribution analysis, trunk finding and slice-by-slice circle fitting. The emphasis of this paper is on exploring the applicability of OSM laser data for plot-level inventory and automatic solution. The test area is a pine-dominated forest. Reference measurements from intensity image are used for validation. Experimental result shows that OSM-based TLS data is feasible for plot-level automation to deliver basic plot level information: detection of the most of the trunks, and reconstructing the DBH.
{"title":"Plot-level trunk detection and reconstruction using one-scan-mode terrestrial laser scanning data","authors":"Xinlian Liang, P. Litkey, J. Hyyppä, A. Kukko, H. Kaartinen, M. Holopainen","doi":"10.1109/EORSA.2008.4620313","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620313","url":null,"abstract":"The applicability of terrestrial laser scanning (TLS) data for quantitative forest inventory has received increasing attention in the last decade. So far, research has been carried out for individual trunk modeling and plot-level forest parameter determination mainly from multi-scan-mode (MSM) TLS data. While MSM data, on the average, provide whole coverage of trunk and potentially lead to high reconstruction accuracy, it is of rising practical interest to study how well one-scan-mode (OSM) laser data could provide plot-level forest information, e.g. location, number of trees and breast height diameter of individual trees, in mainly one-storey stands, with lower expense, faster data collection and enhanced processing to collect e.g. reference and calibration data for airborne laser scanning based forest inventory. In general, to achieve plot-level trunk modeling, three main problems need to be solved. First, meaningful laser points need to be identified from data set, originally consisting of several millions points, for computational reasons; second, trunk points need to be recognized as precisely as possible, to facilitate localized modeling process; third, trunk reconstruction needs to be automatic and computationally acceptable, to give certain level details, but still enable fast processing. In this paper, a new tree detecting and trunk modeling mechanism is proposed, based on point distribution analysis, trunk finding and slice-by-slice circle fitting. The emphasis of this paper is on exploring the applicability of OSM laser data for plot-level inventory and automatic solution. The test area is a pine-dominated forest. Reference measurements from intensity image are used for validation. Experimental result shows that OSM-based TLS data is feasible for plot-level automation to deliver basic plot level information: detection of the most of the trunks, and reconstructing the DBH.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122347254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620320
Xiaoye Liu, Zhenyu Zhang
The availability of high accuracy GCPs (ground control points) and DEMs (digital elevation models) becomes the key issue for successful implementation of an image orthorectification project. It is a very difficult task for collecting a large number of high quality GCPs by using traditional methods to meet all the requirements for digital photogrammetric and orthorectification process. Airborne light detection and ranging (LiDAR) - also referred to as airborne laser scanning (ALS), provides an alternative for high-density and high-accuracy three-dimensional terrain point data acquisition. One of the appealing features in the LiDAR output is the direct availability of three dimensional coordinates of points and intensity data in object space. With LiDAR data, high- accuracy and high-resolution intensity image, hillshade DSM (digital surface model) image, and DEM can be generated. Due to high planimetric accuracy characteristics of LiDAR data, ground truth can be extracted from these LiDAR-derived products (e.g., hillshade image and intensity image). This study investigated the feasibility of using LiDAR-derived hillshade DSM image and intensity image to extract ground truth for aerial image orthorectification. Two sets of GCPs were extracted from hillshade image and intensity image separately, and then were used as the inputs for aerial triangulation processing. LiDAR- derived DEM was then employed for differential rectification to produce the final orthoimage. The assessment of the planimetric accuracy of orthorectified images by using different set of GCPs was conducted by comparing the coordinates of some checking points from orthoimages and correspondent GPS surveyed coordinates.
{"title":"Ground truth extraction from LiDAR data for image orthorectification","authors":"Xiaoye Liu, Zhenyu Zhang","doi":"10.1109/EORSA.2008.4620320","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620320","url":null,"abstract":"The availability of high accuracy GCPs (ground control points) and DEMs (digital elevation models) becomes the key issue for successful implementation of an image orthorectification project. It is a very difficult task for collecting a large number of high quality GCPs by using traditional methods to meet all the requirements for digital photogrammetric and orthorectification process. Airborne light detection and ranging (LiDAR) - also referred to as airborne laser scanning (ALS), provides an alternative for high-density and high-accuracy three-dimensional terrain point data acquisition. One of the appealing features in the LiDAR output is the direct availability of three dimensional coordinates of points and intensity data in object space. With LiDAR data, high- accuracy and high-resolution intensity image, hillshade DSM (digital surface model) image, and DEM can be generated. Due to high planimetric accuracy characteristics of LiDAR data, ground truth can be extracted from these LiDAR-derived products (e.g., hillshade image and intensity image). This study investigated the feasibility of using LiDAR-derived hillshade DSM image and intensity image to extract ground truth for aerial image orthorectification. Two sets of GCPs were extracted from hillshade image and intensity image separately, and then were used as the inputs for aerial triangulation processing. LiDAR- derived DEM was then employed for differential rectification to produce the final orthoimage. The assessment of the planimetric accuracy of orthorectified images by using different set of GCPs was conducted by comparing the coordinates of some checking points from orthoimages and correspondent GPS surveyed coordinates.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114393507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620315
H.T. Li, H. Gu, Y.S. Han, J.H. Yang
This paper presents a new object-oriented classification method based on statistical region merging (SRM) for segmentation and support vector machine (SVM) for classification where polarimetric synthetic aperture radar (PolSAR) data are used. The proposed approach makes use of polarimetric information of PolSAR data, and takes advantage of SRM and SVM. The SRM segmentation method not only considers spectral, shape, scale information, but also has the ability to cope with significant noise corruption, handle occlusions. The SVM used for classification takes its advantages of solving sparse sampling, non-linear, high-dimensional, and global optimum problems comparing with other classifiers. It is thus expected that the input vectors of SVM will include fully polarimetric information for image classification. A test image, acquired by the Jet Propulsion Laboratory Airborne SAR (AIRSAR) system, is used to demonstrate the advantages of the proposed method. It is shown that the proposed approach outperforms the traditional pixel-based SVM classification method for land cover classification with PolSAR data, and the integration of SRM and SVM makes the proposed algorithm an attractive and alternative method for polarimetric SAR classification.
{"title":"Object-oriented classification of polarimetric SAR imagery based on Statistical Region Merging and Support Vector Machine","authors":"H.T. Li, H. Gu, Y.S. Han, J.H. Yang","doi":"10.1109/EORSA.2008.4620315","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620315","url":null,"abstract":"This paper presents a new object-oriented classification method based on statistical region merging (SRM) for segmentation and support vector machine (SVM) for classification where polarimetric synthetic aperture radar (PolSAR) data are used. The proposed approach makes use of polarimetric information of PolSAR data, and takes advantage of SRM and SVM. The SRM segmentation method not only considers spectral, shape, scale information, but also has the ability to cope with significant noise corruption, handle occlusions. The SVM used for classification takes its advantages of solving sparse sampling, non-linear, high-dimensional, and global optimum problems comparing with other classifiers. It is thus expected that the input vectors of SVM will include fully polarimetric information for image classification. A test image, acquired by the Jet Propulsion Laboratory Airborne SAR (AIRSAR) system, is used to demonstrate the advantages of the proposed method. It is shown that the proposed approach outperforms the traditional pixel-based SVM classification method for land cover classification with PolSAR data, and the integration of SRM and SVM makes the proposed algorithm an attractive and alternative method for polarimetric SAR classification.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124588150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620337
Hanqiu Xu
Over the past twenty years, urban spatial areas in China have expanded in an accelerated speed with the Chinapsilas economic reform. This causes the conversion of the vegetated lands into built-up lands and thus has significant impacts on the ecosystem, biodiversity and local climate. Quanzhou, Jinjiang and Shishi are three cities located in the Jinjiang estuary lowland area of southeast Fujian Province and are famous for their fast economic development. In the meantime, the urban areas of the cities have been growing rapidly. To study the dynamics of the urban expansion for recent 20 years, multi-temporal Landsat TM images of 1987, 1996 and 2006 were used. The mapping of the urban extent was assisted by the Index-based Built-up Index (IBI) through enhancing built-up land features in the images. The multi-temporal analysis reveals that the total urban area of the three cities has greatly increased. This resulted in the development of the urban heat island. The regression statistics indicate that the built-up land has a positive exponential relationship with the land surface temperature (LST). Therefore, the increase in built-up land percentage can exponentially accelerate the rise of the LST.
{"title":"Remote sensing of urban expansion and heat island effect in Jinjiang estuary area of Fujian, China","authors":"Hanqiu Xu","doi":"10.1109/EORSA.2008.4620337","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620337","url":null,"abstract":"Over the past twenty years, urban spatial areas in China have expanded in an accelerated speed with the Chinapsilas economic reform. This causes the conversion of the vegetated lands into built-up lands and thus has significant impacts on the ecosystem, biodiversity and local climate. Quanzhou, Jinjiang and Shishi are three cities located in the Jinjiang estuary lowland area of southeast Fujian Province and are famous for their fast economic development. In the meantime, the urban areas of the cities have been growing rapidly. To study the dynamics of the urban expansion for recent 20 years, multi-temporal Landsat TM images of 1987, 1996 and 2006 were used. The mapping of the urban extent was assisted by the Index-based Built-up Index (IBI) through enhancing built-up land features in the images. The multi-temporal analysis reveals that the total urban area of the three cities has greatly increased. This resulted in the development of the urban heat island. The regression statistics indicate that the built-up land has a positive exponential relationship with the land surface temperature (LST). Therefore, the increase in built-up land percentage can exponentially accelerate the rise of the LST.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129115556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620349
X. Zhang, Y. Zhu, H. A J. Yao
The objective of this research is to develop and assess a pattern analysis for land cover maps. The selective landscape metrics (PD, CONTAG, PAFRAC, and SHDI) have been computed for the multi-temporal land cover maps based on Landsat MSS/TM remote sensing during 1978-2004. Our study systematically explores and compares trends and patterns of urban sprawl across the town level in Wujiang.
{"title":"Measurement and pattern analysis of urban sprawl using remote sensing and GIS A case study of Wujiang, China(1978–2004)","authors":"X. Zhang, Y. Zhu, H. A J. Yao","doi":"10.1109/EORSA.2008.4620349","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620349","url":null,"abstract":"The objective of this research is to develop and assess a pattern analysis for land cover maps. The selective landscape metrics (PD, CONTAG, PAFRAC, and SHDI) have been computed for the multi-temporal land cover maps based on Landsat MSS/TM remote sensing during 1978-2004. Our study systematically explores and compares trends and patterns of urban sprawl across the town level in Wujiang.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132827409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620303
H. Ge, W. Jin, H.Q. Du
Bursaphelenchus xylophilus is an insect-spread disease resulting in severe mortality in pine forests. At present, the most effective way to control this infection is to timely remove and destroy the infected trees from the pine forests. This paper explores the approach to automatically extract the infected dead trees from unmanned airborne digital photographs, that is, to automatically identify the infected dead trees and their spatial distribution. The result can be used in guiding the field action. First, a peak-climbing algorithm was used to classify the spectral features into clusters with a small clustering measure. Secondly, the generated clusters were automatically merged with feature space-based Closeness Index and Close Mate. Finally, the analyst interactively merged the clusters of dead trees that cannot be automatically merged with the Closeness Index and Close Mate approach. This research indicated the userpsilas and producerpsilas accuracies based on the Closeness Index approach were 69.9% and 58.8%, 2% higher than that from ISODATA respectively. Both approaches can extract almost all infected dead trees, but other non-forest land covers could be misclassified as dead trees.
{"title":"Automatic extraction of Bursaphelenchus xylophilus-induced sporadic death trees on unmanned airborne digital photographs","authors":"H. Ge, W. Jin, H.Q. Du","doi":"10.1109/EORSA.2008.4620303","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620303","url":null,"abstract":"Bursaphelenchus xylophilus is an insect-spread disease resulting in severe mortality in pine forests. At present, the most effective way to control this infection is to timely remove and destroy the infected trees from the pine forests. This paper explores the approach to automatically extract the infected dead trees from unmanned airborne digital photographs, that is, to automatically identify the infected dead trees and their spatial distribution. The result can be used in guiding the field action. First, a peak-climbing algorithm was used to classify the spectral features into clusters with a small clustering measure. Secondly, the generated clusters were automatically merged with feature space-based Closeness Index and Close Mate. Finally, the analyst interactively merged the clusters of dead trees that cannot be automatically merged with the Closeness Index and Close Mate approach. This research indicated the userpsilas and producerpsilas accuracies based on the Closeness Index approach were 69.9% and 58.8%, 2% higher than that from ISODATA respectively. Both approaches can extract almost all infected dead trees, but other non-forest land covers could be misclassified as dead trees.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129007647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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