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Mapping global land XCO2 from measurements of GOSAT and SCIAMACHY by using kriging interpolation method 利用kriging插值方法从GOSAT和SCIAMACHY测量数据绘制全球陆地XCO2
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6947112
Yingying Jing, Jiancheng Shi, Tianxing Wang
{"title":"Mapping global land XCO2 from measurements of GOSAT and SCIAMACHY by using kriging interpolation method","authors":"Yingying Jing, Jiancheng Shi, Tianxing Wang","doi":"10.1109/IGARSS.2014.6947112","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947112","url":null,"abstract":"In our study, we proposed a gap-filled method based on ordinary kriging to generate a global land distribution map of carbon dioxide (CO<sub>2</sub>) by modeling the spatial correlation structures of column-averaged CO<sub>2</sub> dry air mole fractions (XCO<sub>2</sub>) on the global scale, using a fused data by combining GOSAT and SCIMACHY. The relationship between the distance and semi-variogram of XCO<sub>2</sub> is estimated and modeled by an exponential model with a nugget-effect component. The semi-variogram result indicates that there is a significant spatial correlation within the fused CO<sub>2</sub> data set. The prediction of XCO<sub>2</sub> using semi-variogram model is conducted within 1 degree×1 degree grids over the world. The results reveal that the global distribution of XCO<sub>2</sub> based on kriging method is the most extensive compared with other CO<sub>2</sub> products. Moreover, the monthly map from the kriging approach has less predicted uncertainties, most of which are less than 0.5% of XCO<sub>2</sub> value.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131493004","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: 5
Large scale region-merging segmentation using the local mutual best fitting concept 基于局部互最优拟合的大规模区域合并分割
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6947590
P. Lassalle, J. Inglada, J. Michel, M. Grizonnet, J. Malik
{"title":"Large scale region-merging segmentation using the local mutual best fitting concept","authors":"P. Lassalle, J. Inglada, J. Michel, M. Grizonnet, J. Malik","doi":"10.1109/IGARSS.2014.6947590","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947590","url":null,"abstract":"Large scale segmentation remains a challenging task because of time and memory consuming. A usual strategy to process efficiently a large volume of data is to divide into chunks to be processed separately, either sequentially to reduce memory footprint or in parallel in order to speed up the computation. In image processing in general this boils down to dividing the input image into tiles. However, for image segmentation, the tile splitting usually leads incoherent segments on the borders of the tiles even when some overlap between the tiles is applied. In this paper we propose a new strategy making possible the tiling for image segmentation algorithms while maintaining the accuracy of the final results. Specifically, we focus on iterative region merging methods but the strategy can be extended to any segmentation algorithm. The introduction of the local mutual best fitting concept and the area of influence of a segment allows to establish a new methodology of segmentation based on three phases: the tile-based reduction, the iterative reduction and the completion of the segmentation. This new methodology was applied on a large Pleiades HR image with success proving the feasibility of the approach.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133949407","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: 7
PolSAR image segmentation — Advanced statistical modelling versus simple feature extraction PolSAR图像分割-先进的统计建模与简单的特征提取
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-11-06 DOI: 10.1109/IGARSS.2014.6946601
A. Doulgeris, T. Eltoft
{"title":"PolSAR image segmentation — Advanced statistical modelling versus simple feature extraction","authors":"A. Doulgeris, T. Eltoft","doi":"10.1109/IGARSS.2014.6946601","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946601","url":null,"abstract":"In recent years, we have presented many algorithms for polarimetric SAR image segmentation that show the continually improving developments in the field. However, there are two distinct and divergent approaches - one using highly flexible textured models for the covariance matrix statistics (such as the Wishart, K-Wishart, and U-distribution), and the other using simple features extracted from such data (the Extended Polarimetric Feature Space method). In this study we will present a summary and comparison of both approaches and discuss the pros and cons for each with respect to image segmentation applications.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116204839","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: 9
Modeling the effects of surface and bottom geometries on LiDAR bathymetric waveforms 模拟表面和底部几何形状对激光雷达测深波形的影响
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-14 DOI: 10.1109/IGARSS.2014.6947033
M. Montes-Hugo, J. Bailly, N. Baghdadi, A. Bouhdaoui
{"title":"Modeling the effects of surface and bottom geometries on LiDAR bathymetric waveforms","authors":"M. Montes-Hugo, J. Bailly, N. Baghdadi, A. Bouhdaoui","doi":"10.1109/IGARSS.2014.6947033","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947033","url":null,"abstract":"LiDAR bathymetric biases due to geometric changes at the air-water and water-bottom interfaces are investigated based on calculations made with a modified version of the waveform simulator Wa-LID. Main assumptions include a homogeneous water column and a spaceborne LiDAR having a footprint smaller than 50 m and a wavelength centered at 532 nm. Preliminary results showed major temporal modifications on second Lidar return (up to 100 cm or 10 ns) due to tilted bottoms. This shift was in average >6-fold the maximum bottom depth bias originated from capillary waves forming at the air-water surface.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115013935","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: 4
Soil moisture retrieval from SMOS observations using neural networks 基于神经网络的SMOS观测反演土壤水分
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946963
N. Rodríguez-Fernández, P. Richaume, F. Aires, C. Prigent, Y. Kerr, J. Kolassa, C. Jiménez, F. Cabot, A. Mahmoodi
{"title":"Soil moisture retrieval from SMOS observations using neural networks","authors":"N. Rodríguez-Fernández, P. Richaume, F. Aires, C. Prigent, Y. Kerr, J. Kolassa, C. Jiménez, F. Cabot, A. Mahmoodi","doi":"10.1109/IGARSS.2014.6946963","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946963","url":null,"abstract":"A methodology to retrieve soil moisture (SM) from multiinstrument remote sensing data is presented. The method uses a Neural Network (NN) to find the statistical relationship linking the input data to a reference SM dataset. The input data is composed of passive microwaves (L-band SMOS brightness temperatures), active microwaves (C-band ASCAT backscattering coefficients), and visible and infrared observations by MODIS. The reference SM data used to train the NN are ECMWF model predictions or SMOS L3 SM. After determining the best configuration of input data to retrieve SM using a NN, the NN soil moisture product is evaluated with respect to other global SM products and with respect to in situ measurements. The NN is able to capture the spatial and temporal dynamics of SM, and the SM computed with NNs compares well with the other SM datasets.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115607541","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: 19
Linking NDVI and climate-based ecosystem stability with land cover in Europe 欧洲NDVI和基于气候的生态系统稳定性与土地覆盖的联系
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947346
W. Keersmaecker, S. Lhermitte, L. Tits, O. Honnay, B. Somers, P. Coppin
{"title":"Linking NDVI and climate-based ecosystem stability with land cover in Europe","authors":"W. Keersmaecker, S. Lhermitte, L. Tits, O. Honnay, B. Somers, P. Coppin","doi":"10.1109/IGARSS.2014.6947346","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947346","url":null,"abstract":"Changing climate conditions are expected to affect vegetation health globally, further emphasizing the importance to assess vegetation response to climate anomalies on a large scale and to understand its driving factors. Within this context, vegetation resilience and resistance against drought and temperature anomalies were assessed using an autoregressive model based on GIMMS NDVI and climate time series over Europe. The extracted vegetation stability metrics were subsequently related to Corine Land Cover classes. The model (i) allowed for exclusion of spurious results and (ii) provided vegetation resistance and resilience metrics normalized for climate variability. These ecosystem stability metrics further showed a clear correspondence with vegetation types in Europe.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123071106","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: 3
Development status of a new small airborne SAR based on Pi-SAR2 基于Pi-SAR2的新型机载小型SAR研制现状
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946498
T. Fujimura, Kiyonobu Ono, H. Nagata, Isamu Oihara, Yoshimasa Seino, K. Taguchi, Norihiro Imai, Hiroki Miyagawa, Hideharu Tozuka, Kenji Tagami, Y. Yanagita, K. Aoki, Norihiko Omuro, T. Kimura, M. Murata
{"title":"Development status of a new small airborne SAR based on Pi-SAR2","authors":"T. Fujimura, Kiyonobu Ono, H. Nagata, Isamu Oihara, Yoshimasa Seino, K. Taguchi, Norihiro Imai, Hiroki Miyagawa, Hideharu Tozuka, Kenji Tagami, Y. Yanagita, K. Aoki, Norihiko Omuro, T. Kimura, M. Murata","doi":"10.1109/IGARSS.2014.6946498","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946498","url":null,"abstract":"This paper shows the development status of a new small airborne SAR based on Pi-SAR2. We had designed its advanced small type high resolution full polarimetric airborne SAR with the real-time processor. Its flight test will be planned in this fiscal year.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116781836","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: 4
Ground-based scatterometer observations of snow-covered freshwater lake ice using UW-SCAT (9.6/17.2 GHz) 基于UW-SCAT (9.6/17.2 GHz)的地面积雪淡水湖冰散射计观测
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947278
G. Gunn, C. Duguay, G. Macelloni, M. Brogioni
{"title":"Ground-based scatterometer observations of snow-covered freshwater lake ice using UW-SCAT (9.6/17.2 GHz)","authors":"G. Gunn, C. Duguay, G. Macelloni, M. Brogioni","doi":"10.1109/IGARSS.2014.6947278","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947278","url":null,"abstract":"Winter season backscatter (σ°) evolution of snow covered lake ice was observed by ground-based University of Waterloo X-(9.6 GHz) and Ku-band (17.2 GHz) scatterometers (UW-SCAT) during the winter of 2010-11. The UW-SCAT post-processing procedure allowed for the observation of σ° at the surface (snow/ice interface, ice types) and the ice volume. Observations indicated that: (1) σ° associated with the development of tubular bubbles within the ice volume causes double-bounce of the signal and high returns at X- and Ku-bands; (2) ice types at the surface (grey ice) composed of high density spherical micro-bubbles result in σ° increases at both X- and Ku-bands; and (3) the removal of snow overlying ice results in a drop in Ku-band σ° up to 5.5 dB, exhibiting sensitivity to snow water equivalent.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116990872","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
Measurement of three-dimensional surface deformation of the March 2011 Kamoamoa fissure eruption, Kilauea Volcano, Hawai'i 2011年3月夏威夷基拉韦厄火山Kamoamoa裂缝喷发的三维地表变形测量
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946452
M. Jo, Hyung-Sup Jung, Joong-Sun Won, M. Poland, A. Miklius
{"title":"Measurement of three-dimensional surface deformation of the March 2011 Kamoamoa fissure eruption, Kilauea Volcano, Hawai'i","authors":"M. Jo, Hyung-Sup Jung, Joong-Sun Won, M. Poland, A. Miklius","doi":"10.1109/IGARSS.2014.6946452","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946452","url":null,"abstract":"We construct a 3-D surface displacement map for the March 5-9, 2011 Kamoamoa fissure eruption at Kilauea Volcano, Hawai'i, by integration of multitemporal InSAR and multiple aperture interferometry (MAI) measurements from the COSMO-SkyMed SAR system. It was the first attempt to measure along-track displacements by X-band data. In spite of the potential risk of decorrelation by their short-wavelength signal, the high temporal resolution of COSMO-SkyMed provides the opportunity to map the precise 3-D displacement maps effectively. To assess the measurement accuracies of the untested data, a comparison with GPS data has been carried out for multi-stacked MAI interferogram and the 3-D components of surface deformation. Root-mean-square errors of 0.99, 0.80, and 0.65 cm for the east, north, and up components, respectively, support the suitability and effectiveness of COSMO-SkyMed for the 3-D observation.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117157271","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: 3
Determination of glacier velocities at a large spatial scale from optical satellite archives 基于光学卫星档案的大空间尺度冰川速度测定
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947366
A. Dehecq, E. Trouvé, N. Gourmelen
{"title":"Determination of glacier velocities at a large spatial scale from optical satellite archives","authors":"A. Dehecq, E. Trouvé, N. Gourmelen","doi":"10.1109/IGARSS.2014.6947366","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947366","url":null,"abstract":"In this paper we present a processing strategy to derive glaciers' velocity fields from a complete satellite archive. All possible pairs with a specified time span are formed, submitted to the same preprocessing and matched together to derive velocity fields. All the results are then selected on a pixel-by-pixel basis based on the confidence of the offset-tracking and merged together by computing the median in a spatio-temporal neighboorhood. The method is applied to 206 images covering the Karakoram region and a period of 3 years. This allows us to estimate a velocity for over 90% of the glaciers' area and to reduce the residuals from 9.9m/yr to 2.1m/yr.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117159714","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: 1
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