2021 XIX Workshop on Information Processing and Control (RPIC)最新文献_第8页

Estimation of actual evapotranspiration using NASA-POWER data and Support Vector Machine 利用NASA-POWER数据和支持向量机估算实际蒸散量

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648425

A. Faramiñán, M. F. Degano, Facundo Carmona, Paula Olivera Rodriguez

引用次数: 3

Calculation of surface urban heat index from LANDSAT-8 TIRS data and its relation with land cover 基于LANDSAT-8 TIRS数据的城市地表热指数计算及其与土地覆盖的关系

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648422

A. Ferral, A. Gili, V. Andreo, A. Germãn, G. Beltramone, M. Bonansea, Sofía Paná, M. Scavuzzo

{"title":"Calculation of surface urban heat index from LANDSAT-8 TIRS data and its relation with land cover","authors":"A. Ferral, A. Gili, V. Andreo, A. Germãn, G. Beltramone, M. Bonansea, Sofía Paná, M. Scavuzzo","doi":"10.1109/RPIC53795.2021.9648422","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648422","url":null,"abstract":"Urban localities are mainly covered by concrete and asphalt paving material, which are impermeable surfaces with higher heat absorption capacity and a lower albedo, thus absorbing more radiation compared to the surrounding countryside. The urban surface heat island effect is described as a higher surface temperature in cities compared to a cooler temperature in surrounding areas. Canopy layer urban heat island (HI) are typically detected by in situ sensors at standard (screen-level) meteorological height. Ont he other hand, thermal remote sensors observe the surface urban heat island index (SUHI). The aim of this work is to calculate the spatial distribution of the SUHI index in Cordoba city and in its metropolitan area, and to analyse its relationship with different land covers using satellite information. Cordoba city, located in the central region of Argentina, is the second most populated city in the country. A LANDSAT-8 image of the study area was used to calculate urban heat island index, UHII, and SUHI. Urban and Non-urban region were defined and compared. It was observed that the same type of land use has significant different temperature mean value depending on whether it is located on an urban island or in a rural or open environment.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129854449","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

Regression Models for Dense Bathymetry in Turbid Coastal Areas 浑浊沿海地区密集水深测量的回归模型

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648460

Steven Martinez Vargas, C. Delrieux, A. Vitale, Katy Lorena Blanco Monroy

{"title":"Regression Models for Dense Bathymetry in Turbid Coastal Areas","authors":"Steven Martinez Vargas, C. Delrieux, A. Vitale, Katy Lorena Blanco Monroy","doi":"10.1109/RPIC53795.2021.9648460","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648460","url":null,"abstract":"We trained and analyzed the behavior and robustness of two regression models, Random Forest and Support Vector Machine, with aerial hyperspectral images and echosounder measurements in an area of the Bahia Blanca estuary (Buenos Aires, Argentina) to generate a dense bathymetric map. This region of the estuary is characterized by high sediment transport, which makes its waters turbid, which makes bathymetric-optical estimates difficult. Images of 24 NIR and visible spectral bands acquired using a hyperspectral camera on board a UAV were used, together with 100 bathymetric data points surveyed with a sonar sensor on board a USV in an area of approximately 800 m2. The best model was Random Forest with a coefficient determination of 0.815 (for the test data), an RSME = 0.160 m, and an absolute mean error less than 1.3%. We performed ablation tests to evaluate the robustness of the models and using SHAP values we determined the bands with the highest incidence in the model. The results allow for dense and accurate reconstructions of the underwater profile in shallow and muddy regions of the Bahia Blanca estuary, showing the feasibility of merging hyperspectral images with sonar data in turbid shallow waters.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130648881","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

WLAN Signal Detection in Weather Radar Data 气象雷达数据中的WLAN信号检测

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648515

Omelio Barba Leal, Fabián Rinalde, Jorge Cogo, J. P. Pascual

引用次数: 1

Characterization of Ambient Noise Underwater in the coastal area of Mar del Plata 马德普拉塔沿海地区水下环境噪声的特征

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648503

D. M. Petruzzi, Celeste Cebedio, L. Rabioglio

引用次数: 0

A new signal source module for BCI2000 interface to an open-source multichannel acquisition system 一个新的BCI2000接口的信号源模块到一个开源的多通道采集系统

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648493

Diana C. Vertiz del Valle, L. Carolina Carrere, C. Tabernig

引用次数: 0

Seismic Moment Tensor Inversion in Anisotropic Media using Deep Neural Networks 基于深度神经网络的各向异性介质地震矩张量反演

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648414

Germn I. Brunini, D. Velis, Juan I. Sabbione

引用次数: 0