IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium最新文献_第10页

Driving Force of Total Ozone in the Northern Midlatitudes: An Analysis based on Data from Two Stations 华北中纬度地区臭氧总量的驱动力:基于两站数据的分析

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8897929

Jingmei Yang

引用次数: 1

A Preliminary Investigation of Mobile Mapping Technology for Underground Mining 地下采矿移动测图技术初探

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8898518

S. Raval, B. Banerjee, S. Singh, I. Canbulat

引用次数: 16

A Convex Hull and Cluster-Analysis Based Fast Large-Scale Phase Unwrapping Method for Multibaseline Sar Interferograms 基于凸包和聚类分析的多基线Sar干涉图快速大尺度相位展开方法

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8900492

Yang Lan, Hanwen Yu, M. Xing

引用次数: 7

Exploratory search methodology for sentinel 2 data: a prospect of both visual and latent characteristics. 哨兵2号数据的探索性搜索方法:视觉和潜在特征的展望。

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8900349

C. Vaduva, F. Georgescu, Andreea Griparis, Iulia Coca Neagoe, Alexandru-Cosmin Grivei, M. Datcu

引用次数: 2

Bistatic Forward-Looking SAR Motion Error Compensation Method Based on Keystone Transform and Modified Autofocus Back-Projection 基于Keystone变换和改进自动对焦反投影的双基地前视SAR运动误差补偿方法

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8898219

Q. Yang, Deming Guo, Zhongyu Li, Junjie Wu, Yulin Huang, Haiguang Yang, Jianyu Yang

引用次数: 3

Rapid Identification of Seismic Landslides Combining with Object-Oriented and Independent Component Analysis Transformation :A Case of the Ms6.5 Earthquake in Ludian, Yunnan 结合面向对象与独立分量分析转换的地震滑坡快速识别——以云南鲁甸6.5级地震为例

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8897884

Yuxue Wang, S. Tian, Changqi Liu

{"title":"Rapid Identification of Seismic Landslides Combining with Object-Oriented and Independent Component Analysis Transformation :A Case of the Ms6.5 Earthquake in Ludian, Yunnan","authors":"Yuxue Wang, S. Tian, Changqi Liu","doi":"10.1109/IGARSS.2019.8897884","DOIUrl":"https://doi.org/10.1109/IGARSS.2019.8897884","url":null,"abstract":"Taking the typical landslide triggered by the 2014 Ms6.5 earthquake in Ludian County of Yunnan Province as an example, the high-resolution remote sensing image of two phases before and after the earthquake is used, and the object-oriented segmentation technique and change detection based ICA transform are combined. Identify the earthquake-triggered landslide, and obtain the information such as the range and scale of the landslide after the earthquake through the superposition analysis of the feature and the change information of NDVI and slope. The results show that the landslide recognition accuracy by using the integrated method can reach 93.3%, and the error extraction and miss extraction rate are low. The integrated method is simple, fast, with less human intervention and a higher degree of automatic extraction, it can meet the needs of post-disaster emergency and rescue work. Compared with traditional change detection and object-oriented classification algorithms, the integrated method further improves the recognition accuracy of new and old landslide, and human activities such as mining, and can be used for risk analysis, disaster management and disaster relief decisions for earthquake-induced landslides.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"163 1","pages":"1570-1573"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79008846","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 Proposed Earthquake Warning System Based on Ionospheric Anomalies Derived From GNSS Measurements and Artificial Neural Networks 基于GNSS测量和人工神经网络的电离层异常地震预警系统

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8900197

Diego Brum, Graciela Racolte, F. Bordin, Eduardo Kediamosiko Nzinga, M. Veronez, E. Souza, I. É. Koch, L. G. D. Silveira, I. Klein, M. T. Matsuoka, V. F. Rofatto, A. M. Junior

{"title":"A Proposed Earthquake Warning System Based on Ionospheric Anomalies Derived From GNSS Measurements and Artificial Neural Networks","authors":"Diego Brum, Graciela Racolte, F. Bordin, Eduardo Kediamosiko Nzinga, M. Veronez, E. Souza, I. É. Koch, L. G. D. Silveira, I. Klein, M. T. Matsuoka, V. F. Rofatto, A. M. Junior","doi":"10.1109/IGARSS.2019.8900197","DOIUrl":"https://doi.org/10.1109/IGARSS.2019.8900197","url":null,"abstract":"The Total Electron Content (TEC) derived from Global Navigation Satellite System (GNSS) data processing has been used as a tool for monitoring earthquakes. The purpose of this study is to bring an alternative approach to the prediction of earthquakes and to determine their magnitudes based on Artificial Neural Networks (ANN) and ionospheric disturbances. For this, the Vertical Total Electron Content (VTEC) data from the National Oceanic and Atmosphere Administration (NOAA) were used to train the ANN. Results show that the ANN process achieved an accuracy of 85.71% in validation assessment to predict Tres Picos Mw=8.2 earthquake from 1:30 UTC to 04:00 UTC, approximately 3 hours before the seismic event. For magnitude classification, the ANN achieved an accuracy of 94.60%. The Matthews Correlation Coefficient (MCC) which takes into account all true/false positives and negatives was also evaluated and showed promising results.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"9295-9298"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79151357","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

1Estimation of Spatially Complete Land Surface Evapotranspiration Over The Heihe River Basin 1黑河流域地表蒸散量空间完整估算

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8900408

Qian-Yu Liao, Wanlai Xue, P. Leng, C. Ren, Zhao‐Liang Li, S. Duan, Maofang Gao, Xiao-Jing Han, Suchuang Di, Yajing Lu

{"title":"1Estimation of Spatially Complete Land Surface Evapotranspiration Over The Heihe River Basin","authors":"Qian-Yu Liao, Wanlai Xue, P. Leng, C. Ren, Zhao‐Liang Li, S. Duan, Maofang Gao, Xiao-Jing Han, Suchuang Di, Yajing Lu","doi":"10.1109/IGARSS.2019.8900408","DOIUrl":"https://doi.org/10.1109/IGARSS.2019.8900408","url":null,"abstract":"Evapotranspiration (ET) plays a key role for energy transfer and water circulation in the biosphere, lithosphere, hydrosphere, cryosphere and atmosphere. In present study, spatially complete ET over the Heihe river basin, Northwest of China, was estimated from the synergistic use of MODIS (MODerate-resolution Imaging Spectroradiometer) data and CLDAS (China Meteorological Administration Land Data Assimilation) gridded meteorological data from June 1 to September 15 in 2012. For the estimation of ET over clear-sky pixels, a pixel-to-pixel pattern of land surface temperature (LST)-vegetation index (VI) feature space was developed where meteorological data were used to determine the dry and wet edges for each pixel; whereas the traditional Penman-Monteith equation was implemented to obtain ET over clouds pixels. Finally, ground ET measurements collected at two sites (corn and orchard) were used to evaluate the estimated results, root mean square error (RMSE) of 77.2W/m2 and 74.9W/m2 can be obtained for the two sites, respectively, indicating that spatially complete ET can be derived from currently available satellite images and meteorological data.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"39 1","pages":"1833-1836"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79289364","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

Object-Oriented Automatic and Accurate Shadow Detection for Very High Spatial Resolution Satellite Images 面向对象的高空间分辨率卫星图像阴影自动精确检测

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8899763

Yuwei Jin, Wenbo Xu, Donghang Shao, Xixu He, Xueru Zhang

引用次数: 4

NDVI-Based Winter Wheat Responses to Heatwave in the North China Plain 基于ndvi的华北平原冬小麦对热浪的响应

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2019-07-01 DOI: 10.1109/IGARSS.2019.8898084

Zengfeng Zhang, Lian Song, Shulin Deng, Qian Zhang, Ji Jian

{"title":"NDVI-Based Winter Wheat Responses to Heatwave in the North China Plain","authors":"Zengfeng Zhang, Lian Song, Shulin Deng, Qian Zhang, Ji Jian","doi":"10.1109/IGARSS.2019.8898084","DOIUrl":"https://doi.org/10.1109/IGARSS.2019.8898084","url":null,"abstract":"The changes of climate variables due to climate change have a great impact on agricultural practices and finally will affect global food security. Thus, it is of great significance to study the responses of crops to climate change, especially for the winter wheat in the North China Plain (NCP), which accounts for about 75% of wheat production in China and is vulnerable to climate change. Knowledge of current changes and responses of crops to climate changes are critical for developing strategies to address climate change challenges. In this paper, the long-term Global Inventory Modelling and Mapping Studies (GIMMS) normalized difference vegetation indices (NDVI) was used to study wheat coverage changes and its responses to heatwave events in the NCP. The results indicate that the NDVI show significant increasing trends for most of the wheat planting areas during 1983-2014. In addition, as indicated by the SHI heatwave index, the heatwave days of almost all the study region show significant increasing trends. The increase of the heatwave days during wheat growing season would strikingly decrease the annual NDVI at a rate of -0.33% when heatwave days increase one day per year.","PeriodicalId":13262,"journal":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","volume":"3 1","pages":"7156-7159"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81559730","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