China Symposium on Remote Sensing最新文献_第4页

Residential mobility microsimulation models 住宅流动性微观模拟模型

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910436

Yifei Wang, Lun Wu

引用次数: 0

Wetland extraction of Yancheng coastal area based on ALOS data 基于ALOS数据的盐城海岸带湿地提取

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910408

Yongling Weng, X. Fan, Jinmei Tao

引用次数: 0

The application and research of anomaly extraction process by remote sensing in the vegetation-covered area: an example in Chengmenshan of JiuJiang district 植被覆盖地区遥感异常提取过程的应用与研究——以九江城门山为例

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910409

Y. Chen, Peng Zhang, P. Xu

引用次数: 0

The inversion of average vegetation height using ICESat GLAS and MODIS data: a case study of three provinces in Northeastern China 基于ICESat GLAS和MODIS数据的平均植被高度反演——以东北三省为例

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910399

Feng Cheng, Cheng Wang, Xiaoguang Jiang

{"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}

引用次数: 0

A method of relative radiometric correction for linear push-broom CCD Image without calibration device onboard 一种不带定标装置的直线推扫帚CCD图像的相对辐射校正方法

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910361

Ming Yan, Zhiyong Wang, Shaoshuai He, F. Wu, Bingyang Yu

引用次数: 1

Applications of RADARSAT-2 in remote sensing dynamic monitoring of land use RADARSAT-2在土地利用遥感动态监测中的应用

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910426

Bo Cheng, Yuan Chai, L. Kou, G. He, Litian Wen, Y. Zhan

引用次数: 1

Joint rectification of image series classification results based on trajectory analysis 基于轨迹分析的图像序列分类结果联合校正

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910366

Dongchuan Wang, J. Gong, Lihui Zhang

{"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}

引用次数: 2

Monitor the microwave thermal emission anomaly around the Yushu earthquake fault zone by using AMSR-E data 利用AMSR-E资料监测玉树地震断裂带周边微波热发射异常

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910401

Hao Chen, Yaqiu Jin

{"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}

引用次数: 0

Effect of instrument tilts on in-water radiometric profile measurements and data analysis 仪器倾斜对水中辐射剖面测量及数据分析的影响

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910370

B. Tao, Z. Mao, Bai Yan, Baogang Jin

引用次数: 0

The application of precise point positioning in the IMU/GPS-supported photogrammetry 精确点定位在IMU/ gps支持的摄影测量中的应用

China Symposium on Remote Sensing Pub Date : 2010-09-14 DOI: 10.1117/12.910367

M. Liao, Yingcheng Li, Lina Zhang, X. Chen

引用次数: 1