{"title":"Estimation of the urban heat island in the Metropolitan Area of Rio de Janeiro - Brazil","authors":"A. J. Lucena, L. Peres, O. Filho, J. R. França","doi":"10.1109/JURSE.2015.7120540","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120540","url":null,"abstract":"This study aims to map the urban heat island in the metropolitan area of Rio de Janeiro (MARJ) using remote sensing data to derive land use maps and land-surface temperature (LST) fields based on Landsat data. The LST difference between urban and vegetation and the temporal evolution of LST were verified based on the Students's t statistical test conducted at the 5% level. Obtained results indicate that LST has increased by approximately 2.0 °C over the last decade and that urban heat island has increased from 4.4 to 6.1 °C.","PeriodicalId":137686,"journal":{"name":"Joint Urban Remote Sensing Event","volume":"336 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116447773","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}
{"title":"Mapping informal settlements using WorldView-2 imagery and C4.5 decision tree classifier","authors":"B. M. G. Ribeiro","doi":"10.1109/JURSE.2015.7120470","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120470","url":null,"abstract":"Recent developments in geotechnologies provide resources to propose innovative strategies for urban and environmental management, including remote sensing data and computational resources for processing them. With the main objective of identifying urban areas of illegal occupation, this work uses WorldView-2-sensor images and the InterIMAGE, an image interpretation software, based on knowledge, under development by PUC-RJ in cooperation with INPE. Confirmed the potential of Geographic Object-Based Image Analysis (GEOBIA) and, on the other hand, the complexity on building the classification models, this work performs and evaluates land cover classification using C4.5 decision tree algorithm, which enables to quickly select the most representative attributes for each class and generate simple classification rules. The results show that data mining technique presented high classification performance. Using the land cover classes, we proceeded with the land use classification to identify areas of irregular occupation. The thematic maps achieved high values of overall accuracy and Kappa index. Typical classifications have been resolved by discriminating nine land cover classes.","PeriodicalId":137686,"journal":{"name":"Joint Urban Remote Sensing Event","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126868662","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}
{"title":"Geolocation of a panoramic camera by reference pairing","authors":"Chahine-Nicolas Zede, A. Gressin","doi":"10.1109/JURSE57346.2023.10144171","DOIUrl":"https://doi.org/10.1109/JURSE57346.2023.10144171","url":null,"abstract":"Panoramic cameras are now available to a large audience. They provide good results on photogrammetry application, but they are still limited by their positioning. This project aims to geolocate a commercial 360° camera in an urban environment, by extracting points in fisheye images and match them with reference from a LiDAR (Light Detection and Ranging) dataset. Such reference points are located on the horizon line, visible from the camera point of view. Matching points are then introduced as Ground Control Points to improve the camera positioning accuracy. A fully automatic solution for position refinement, based on LiDAR data is proposed in this paper.","PeriodicalId":137686,"journal":{"name":"Joint Urban Remote Sensing Event","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114501046","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}
B. Beaumont, N. Stéphenne, L. V. D. Vyvere, C. Wyard, E. Hallot
{"title":"Users' consultation process in building a land cover and land use database for the official Walloon Georeferential","authors":"B. Beaumont, N. Stéphenne, L. V. D. Vyvere, C. Wyard, E. Hallot","doi":"10.1109/JURSE.2019.8808943","DOIUrl":"https://doi.org/10.1109/JURSE.2019.8808943","url":null,"abstract":"INSPIRE and PSI directives induced major changes in the Walloon geomatics ecosystem. INSPIRE aims at establishing an infrastructure for spatial information in the European community for environmental policies. PSI is the European legislation on the re-use of public sector information, including all government-held geodatasets. For compliance purposes, Wallonia proposed to develop a Georeferential aiming at providing free, open-access and consistent reference geodatasets to the Walloon stakeholders. Some of the current data being outdated, the Georeferential proposes pilot projects for a collaborative and user-oriented design of new maps. One of the categories being identified for the Georeferential is land cover and land use. Build on the knowledge of past researches, the Walous project aims at combining very high spatial with very high temporal resolution Earth observation and thematic data in a classification scheme. To ensure that the new data covers the general interest and to ensure his appropriation by the users, gathering requirements is one of the most vital pieces. Poor gathering of user needs could lead to an unused final product. Walous carried out interviews for clarifying data requirements. This paper introduces this methodology and illustrates how the results impacted the priorities and the specifications of the land cover and land use data.","PeriodicalId":137686,"journal":{"name":"Joint Urban Remote Sensing Event","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122732328","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}
{"title":"The impact of the impervious surfaces and the condition of vegetation on the land surface temperature in urban centers on the example of Wloclawek, Poland","authors":"Aleksandra Leczek, Wojciech Lachowski","doi":"10.1109/JURSE57346.2023.10144158","DOIUrl":"https://doi.org/10.1109/JURSE57346.2023.10144158","url":null,"abstract":"The increase in temperature means that public spaces in city centres should be adapted to climate change. Policies in this area conducted over the years were, however, largely focused on representative functions, where urban greenery receded into the background. The aim of this study was therefore to check which factors - represented by vegetation indices - have the greatest impact on high temperature in city centres and its increase in relation to the surroundings. The research area was the city of Wloclawek with 12 selected public spaces. For the analysis, we used Landsat 5 for 2000 and Landsat 8 for 2020. Based on sourced images, we calculated the LST, NDVI and NDISI. In the next step, we checked how NDVI and NDISI affect LST for two moments of time. In the last stage, we examined whether the change in deviations (from the city average) of the calculated spectral indices in selected public spaces had an impact on the increase or decrease in the deviation from the LST average in these areas. It turned out that high NDVI values have a greater impact on LST reduction than high NDISI values on its increase. The research also shows that the correlation of changes in deviations from the mean for LST and selected spectral indices does not show a significant impact of these variables. This is caused, among others, by changes in land cover taking place in the city, which significantly affect the average values of LST as well as NDVI and NDISI.","PeriodicalId":137686,"journal":{"name":"Joint Urban Remote Sensing Event","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126365959","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}
A. Michel, L. Roupioz, C. Granero-Belinchón, X. Briottet
{"title":"Land Surface Temperature Retrieval over Urban areas from simulated TRISHNA data","authors":"A. Michel, L. Roupioz, C. Granero-Belinchón, X. Briottet","doi":"10.1109/JURSE.2019.8808979","DOIUrl":"https://doi.org/10.1109/JURSE.2019.8808979","url":null,"abstract":"The future space joint-mission TRISHNA (Thermal infraRed Imaging Satellite for High-resolution Natural resource Assessment, CNES and ISRO) will allow to retrieve LST at 60 m spatial resolution every 3 days, improving the urban environment monitoring capacities. Two methods can be used to derive LST from remote sensing TIR data, Split-Window (SW) or TES (Temperature Emissivity Separation). Even if proven efficient, the complexity and heterogeneity of urban areas limit the performance of those methods. This paper focuses on the TES algorithm. For TES, errors can be generated by the impact of the surface roughness on the data. In order to investigate the efficiency of the future TRISHNA mission, research was conducted to evaluate the TES algorithm. To do so, the impacts of using a representative material database when using TES were explored and validated based on airborne or satellite data, and the impact of the surface geometry on the TES estimations was evaluated using 3D thermo-radiative model simulations. This study shows that TES can be used for TRISHNA images with a mean difference of 1.6 K between validation measurements and the retrieved LST for both daytime and nighttime images and that neglecting the impact of the surface geometry while performing TES could lead to errors up to 4°C in LST estimations.","PeriodicalId":137686,"journal":{"name":"Joint Urban Remote Sensing Event","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123071881","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}
B. Palmaerts, B. Beaumont, Dimitri Graur, G. Swinnen, E. Hallot
{"title":"Oriented aircraft object detector using Scaled YOLOv4 on very high resolution satellite and synthetic datasets","authors":"B. Palmaerts, B. Beaumont, Dimitri Graur, G. Swinnen, E. Hallot","doi":"10.1109/JURSE57346.2023.10144214","DOIUrl":"https://doi.org/10.1109/JURSE57346.2023.10144214","url":null,"abstract":"We propose a deep learning solution in the frame of the management of airport ground flows. The developed tool aims to automatically detect aircrafts on satellite imagery at very high resolution (<1m). It relies on the Scaled YOLOv4 deep learning model which has proven to be a good object detector. Trained on open-source annotated datasets, our model shows very good performance to detect common commercial airplanes on Pléiades images, but misses small planes or other types of aircrafts. We indicate several possible improvements, thanks to a large dataset of Pléiades images that we annotated ourselves and thanks to the production of synthetic images combining Pléiades data with artificial superimposed aircrafts.","PeriodicalId":137686,"journal":{"name":"Joint Urban Remote Sensing Event","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129818782","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}