Residential mobility refers to the spatial movement of individuals and households between dwellings within an urban area. This considerable amount of intra-urban movement affects the urban structure and has significant repercussions for urban transportation. In order to understand and project related impacts, a considerable number of residential mobility models has been developed and used in the regional planning process. Within this context, the history and state-of-art residential mobility models are discussed and indicated. Meanwhile, a residential mobility Microsimulation model, called URM-Microsim (Urban Residential Mobility Microsimulation), is introduced and discussed.
{"title":"Residential mobility microsimulation models","authors":"Yifei Wang, Lun Wu","doi":"10.1117/12.910436","DOIUrl":"https://doi.org/10.1117/12.910436","url":null,"abstract":"Residential mobility refers to the spatial movement of individuals and households between dwellings within an urban area. This considerable amount of intra-urban movement affects the urban structure and has significant repercussions for urban transportation. In order to understand and project related impacts, a considerable number of residential mobility models has been developed and used in the regional planning process. Within this context, the history and state-of-art residential mobility models are discussed and indicated. Meanwhile, a residential mobility Microsimulation model, called URM-Microsim (Urban Residential Mobility Microsimulation), is introduced and discussed.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129791607","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}
Jiangsu coastal area is abundant in wetland resources and possesses wetland reserve of global relevancy. However, the wetland area has been shrinking with more and more human activities. In this paper, 5 ALOS AVNIR-2 images as well as an additional TM image acquired at low tide level were selected to carry out a research of Yancheng coastal wetland. Characteristics of subcategories and vegetation coverage were surveyed during filed work before a 2-tier decision tree method was adopted to distinguish different wetland categories. At last, the total area was classified as 8 major wetland categories with an overall accuracy of 97.16% as well as Kappa coefficient of 0.96. Only 2 sampling sites biased in the classification when 28 field recorded samples were compared and the result was satisfying.
{"title":"Wetland extraction of Yancheng coastal area based on ALOS data","authors":"Yongling Weng, X. Fan, Jinmei Tao","doi":"10.1117/12.910408","DOIUrl":"https://doi.org/10.1117/12.910408","url":null,"abstract":"Jiangsu coastal area is abundant in wetland resources and possesses wetland reserve of global relevancy. However, the wetland area has been shrinking with more and more human activities. In this paper, 5 ALOS AVNIR-2 images as well as an additional TM image acquired at low tide level were selected to carry out a research of Yancheng coastal wetland. Characteristics of subcategories and vegetation coverage were surveyed during filed work before a 2-tier decision tree method was adopted to distinguish different wetland categories. At last, the total area was classified as 8 major wetland categories with an overall accuracy of 97.16% as well as Kappa coefficient of 0.96. Only 2 sampling sites biased in the classification when 28 field recorded samples were compared and the result was satisfying.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128700273","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}
The spatial and spectral resolution of ASTER data has been greatly improved much more than the common ETM data. ASTER Remote sensing data have a good prospect in the abnormal alteration mineral extraction. This paper studies the ore prospect in Chengmenshan of the JiuJiang district, JiangXi Province. According to the spectral features of common alteration mineral on metal deposits and the ASTER band characteristics, using ASTER Multi-spectrum data can calculate the RBD of limonitization and hydroxide radical mineral. Extracting remote sensing anomaly in Chengmenshan combine RBD with Principal component method, and contrasted with the geologic information, the results show that extract and process data-processing techniques are more reliable.
{"title":"The application and research of anomaly extraction process by remote sensing in the vegetation-covered area: an example in Chengmenshan of JiuJiang district","authors":"Y. Chen, Peng Zhang, P. Xu","doi":"10.1117/12.910409","DOIUrl":"https://doi.org/10.1117/12.910409","url":null,"abstract":"The spatial and spectral resolution of ASTER data has been greatly improved much more than the common ETM data. ASTER Remote sensing data have a good prospect in the abnormal alteration mineral extraction. This paper studies the ore prospect in Chengmenshan of the JiuJiang district, JiangXi Province. According to the spectral features of common alteration mineral on metal deposits and the ASTER band characteristics, using ASTER Multi-spectrum data can calculate the RBD of limonitization and hydroxide radical mineral. Extracting remote sensing anomaly in Chengmenshan combine RBD with Principal component method, and contrasted with the geologic information, the results show that extract and process data-processing techniques are more reliable.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"9 29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126806345","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}
The average vegetation height can be accurately extracted from ICESat GLAS data, however, a certain spatial interval exist in laser strips and dots reduces the mapping accuracy of average canopy height after the interpolation of the GLAS data. The MODIS-BRDF/albedo data consist of canopy structural data, such as LAI, canopy height etc. So the combination of ICESat GLAS and MODIS data can be obtained more accurate distribution of average canopy height and achieve the distribution of continuous canopy height. In this paper, the GLAS / MODIS data were collected in forest-rich three provinces in northeastern China. We firstly filtered GLAS waveform data and get the average vegetation height, and then selected the optional MODIS-BRDF / albedo bands to retrieve the average vegetation height. An artificial neural networks model was esTablelished by training the MODIS BRDF data, and finally obtained the average vegetation height over the whole three provinces. The fusion method between GLAS data and optical remote sensing image was proposed to make up for their shortages and obtained a continuous distribution of average vegetation height. It increases the analysis dimensions of forest ecosystem and produces more accurate data for forest biomass and carbon storage estimates.
{"title":"The inversion of average vegetation height using ICESat GLAS and MODIS data: a case study of three provinces in Northeastern China","authors":"Feng Cheng, Cheng Wang, Xiaoguang Jiang","doi":"10.1117/12.910399","DOIUrl":"https://doi.org/10.1117/12.910399","url":null,"abstract":"The average vegetation height can be accurately extracted from ICESat GLAS data, however, a certain spatial interval exist in laser strips and dots reduces the mapping accuracy of average canopy height after the interpolation of the GLAS data. The MODIS-BRDF/albedo data consist of canopy structural data, such as LAI, canopy height etc. So the combination of ICESat GLAS and MODIS data can be obtained more accurate distribution of average canopy height and achieve the distribution of continuous canopy height. In this paper, the GLAS / MODIS data were collected in forest-rich three provinces in northeastern China. We firstly filtered GLAS waveform data and get the average vegetation height, and then selected the optional MODIS-BRDF / albedo bands to retrieve the average vegetation height. An artificial neural networks model was esTablelished by training the MODIS BRDF data, and finally obtained the average vegetation height over the whole three provinces. The fusion method between GLAS data and optical remote sensing image was proposed to make up for their shortages and obtained a continuous distribution of average vegetation height. It increases the analysis dimensions of forest ecosystem and produces more accurate data for forest biomass and carbon storage estimates.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120881317","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}
Ming Yan, Zhiyong Wang, Shaoshuai He, F. Wu, Bingyang Yu
The obvious vertical strip and chromatic aberration exist in the raw images obtained from the linear push-broom CCD, due to the different response among CCD detectors, the odd/even effect raised in signal transfer and the inconsistency of electronic link outside CCD array. In this paper, one relative radiometric correction method based on dark target image to calculate the bias coefficient and stable light target image to calculate the gain coefficient is discussed, taking the Beijing-1 small satellite panchromatic image as an example. This method is independent of the statistic characteristics of the corrected image, not only can remove the strip noise and the eliminate chromatic aberration, but also can make the color balance of the image, and is suitable for the relative radiometric calibration of linear push-broom CCD remote sensing image without calibration device onboard.
{"title":"A method of relative radiometric correction for linear push-broom CCD Image without calibration device onboard","authors":"Ming Yan, Zhiyong Wang, Shaoshuai He, F. Wu, Bingyang Yu","doi":"10.1117/12.910361","DOIUrl":"https://doi.org/10.1117/12.910361","url":null,"abstract":"The obvious vertical strip and chromatic aberration exist in the raw images obtained from the linear push-broom CCD, due to the different response among CCD detectors, the odd/even effect raised in signal transfer and the inconsistency of electronic link outside CCD array. In this paper, one relative radiometric correction method based on dark target image to calculate the bias coefficient and stable light target image to calculate the gain coefficient is discussed, taking the Beijing-1 small satellite panchromatic image as an example. This method is independent of the statistic characteristics of the corrected image, not only can remove the strip noise and the eliminate chromatic aberration, but also can make the color balance of the image, and is suitable for the relative radiometric calibration of linear push-broom CCD remote sensing image without calibration device onboard.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125737708","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}
Bo Cheng, Yuan Chai, L. Kou, G. He, Litian Wen, Y. Zhan
This paper provides an analysis of main land types and image features of their change information by using RADARSAT-2 satellite data of Chengdu, Yantai and Shantou. It also deals with the geometric rectification accuracy of RADARSAT-2 data with a corner reflector. A method of fusing RADARSAT-2 data and optical image was used to extract change in land use monitoring and to assess accuracy, in order to provide an effective supplement for the new round investigation of the national resources.
{"title":"Applications of RADARSAT-2 in remote sensing dynamic monitoring of land use","authors":"Bo Cheng, Yuan Chai, L. Kou, G. He, Litian Wen, Y. Zhan","doi":"10.1117/12.910426","DOIUrl":"https://doi.org/10.1117/12.910426","url":null,"abstract":"This paper provides an analysis of main land types and image features of their change information by using RADARSAT-2 satellite data of Chengdu, Yantai and Shantou. It also deals with the geometric rectification accuracy of RADARSAT-2 data with a corner reflector. A method of fusing RADARSAT-2 data and optical image was used to extract change in land use monitoring and to assess accuracy, in order to provide an effective supplement for the new round investigation of the national resources.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130811205","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}
There has been a common method to study land use changes based on series of remote sensing data. However, data on time nodes in the time series are almost the historical data, which is difficult in acquiring sample mark data for classification and result verification. Thus, the classification accuracy is severely limited. Taking a series of 4 remote sensing imageries of Xihe watershed, Gansu Province, Northwestern China as an example, the authors proposed a new method to jointly rectify image series classification results based on trajectory analysis. The object-oriented classification method was used to classify the remote sensing images, and results were output as vector data, which were then utilized to take trajectory analysis on the change process of every specific point in the study area. The olassification results were rectified by further investigation or expert querying on those patches with unreasonable trajectories. After joint rectification, compared with those with no joint rectification, the classification accuracy for the former three time node improved about 3%-8%, especially for the middle two periods of historical data, the classification accuracy improved up to 7% -8%.
{"title":"Joint rectification of image series classification results based on trajectory analysis","authors":"Dongchuan Wang, J. Gong, Lihui Zhang","doi":"10.1117/12.910366","DOIUrl":"https://doi.org/10.1117/12.910366","url":null,"abstract":"There has been a common method to study land use changes based on series of remote sensing data. However, data on time nodes in the time series are almost the historical data, which is difficult in acquiring sample mark data for classification and result verification. Thus, the classification accuracy is severely limited. Taking a series of 4 remote sensing imageries of Xihe watershed, Gansu Province, Northwestern China as an example, the authors proposed a new method to jointly rectify image series classification results based on trajectory analysis. The object-oriented classification method was used to classify the remote sensing images, and results were output as vector data, which were then utilized to take trajectory analysis on the change process of every specific point in the study area. The olassification results were rectified by further investigation or expert querying on those patches with unreasonable trajectories. After joint rectification, compared with those with no joint rectification, the classification accuracy for the former three time node improved about 3%-8%, especially for the middle two periods of historical data, the classification accuracy improved up to 7% -8%.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133234584","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}
Earthquake is caused by collision and compression of lithosphere plates. It has been found that during rock failure under lithosphere plate compression, some anomalies of thermal emission at certain frequencies, e.g. 300MHz, 2GHz and 22GHz, might be observed. Satellite-borne AMSR-E (Advanced Microwave Scanning Radiometer-EOS) has dual-polarized 12 channels (6.925, 10.65, 18.7, 23.8, 36.5 and 89GHz), where two channels, 18.7 and 23.8GHz, are close to the sensitive frequency, i.e. 22GHz. In this paper, the brightness temperature (Tb) at the channel 18.7GHz is especially analyzed to see if the emission anomaly is correlated with the earthquake in Yushu area, Qinghai province (32°N-34°N, 96°E-98°E), China on April 14, 2010. An anomaly index (RAI, radiation anomaly index) is defined for monitoring the Tb change and RAI during prior- and post-earthquake, and another channels, i.e. 23.8 and 10.6 GHz, as the assistance to exclude the influences most likely from atmospheric water vapor and terrain surface temperature on RAI. The AMSR-E Tb data during 2003-2010 were collected, and RAI of Yushu area indicated plausible anomaly on April 12, 2010, which is the date that two days before the Yushu earthquake. Thus, the analysis of RAI might provide a feasible tool for earthquake forecast from multi-year observations of AMSR-E data.
{"title":"Monitor the microwave thermal emission anomaly around the Yushu earthquake fault zone by using AMSR-E data","authors":"Hao Chen, Yaqiu Jin","doi":"10.1117/12.910401","DOIUrl":"https://doi.org/10.1117/12.910401","url":null,"abstract":"Earthquake is caused by collision and compression of lithosphere plates. It has been found that during rock failure under lithosphere plate compression, some anomalies of thermal emission at certain frequencies, e.g. 300MHz, 2GHz and 22GHz, might be observed. Satellite-borne AMSR-E (Advanced Microwave Scanning Radiometer-EOS) has dual-polarized 12 channels (6.925, 10.65, 18.7, 23.8, 36.5 and 89GHz), where two channels, 18.7 and 23.8GHz, are close to the sensitive frequency, i.e. 22GHz. In this paper, the brightness temperature (Tb) at the channel 18.7GHz is especially analyzed to see if the emission anomaly is correlated with the earthquake in Yushu area, Qinghai province (32°N-34°N, 96°E-98°E), China on April 14, 2010. An anomaly index (RAI, radiation anomaly index) is defined for monitoring the Tb change and RAI during prior- and post-earthquake, and another channels, i.e. 23.8 and 10.6 GHz, as the assistance to exclude the influences most likely from atmospheric water vapor and terrain surface temperature on RAI. The AMSR-E Tb data during 2003-2010 were collected, and RAI of Yushu area indicated plausible anomaly on April 12, 2010, which is the date that two days before the Yushu earthquake. Thus, the analysis of RAI might provide a feasible tool for earthquake forecast from multi-year observations of AMSR-E data.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114792981","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}
Using the coupled ocean and atmosphere radiative transfer code (COART), the downward radiance distributions above the sea surface and at 1 m depth in the water are calculated. Combined with the discrete angle numerical model, the investigation of effect of instrument tilts on Ed, Es and Lu is provided. It is found that the average of the time series Esdata will be to eliminate the effect of the tilt of surface incident irradiance instrument caused by the rocked boat. And different high tilt thresholds should be set respectively for Ed and Lu to flag invalid data records.
{"title":"Effect of instrument tilts on in-water radiometric profile measurements and data analysis","authors":"B. Tao, Z. Mao, Bai Yan, Baogang Jin","doi":"10.1117/12.910370","DOIUrl":"https://doi.org/10.1117/12.910370","url":null,"abstract":"Using the coupled ocean and atmosphere radiative transfer code (COART), the downward radiance distributions above the sea surface and at 1 m depth in the water are calculated. Combined with the discrete angle numerical model, the investigation of effect of instrument tilts on Ed, Es and Lu is provided. It is found that the average of the time series Esdata will be to eliminate the effect of the tilt of surface incident irradiance instrument caused by the rocked boat. And different high tilt thresholds should be set respectively for Ed and Lu to flag invalid data records.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126651626","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}
We systematically analyzed the accuracy of Precise Point Positioning (PPP) combined with the investigation of the IMU/GPS-supported aerial area, and compared the PPP with the differential global position system (DGPS). The precision of PPP in mapping was checked by sampling areas. Our data illustrates that the accuracy of PPP in medium or small scale of IMU/GPS-supported aerial photography is almost same as DGPS, which satisfies the requirements of specifications.
{"title":"The application of precise point positioning in the IMU/GPS-supported photogrammetry","authors":"M. Liao, Yingcheng Li, Lina Zhang, X. Chen","doi":"10.1117/12.910367","DOIUrl":"https://doi.org/10.1117/12.910367","url":null,"abstract":"We systematically analyzed the accuracy of Precise Point Positioning (PPP) combined with the investigation of the IMU/GPS-supported aerial area, and compared the PPP with the differential global position system (DGPS). The precision of PPP in mapping was checked by sampling areas. Our data illustrates that the accuracy of PPP in medium or small scale of IMU/GPS-supported aerial photography is almost same as DGPS, which satisfies the requirements of specifications.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114244777","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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