Academic literature on the topic 'Multitemporel'

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Journal articles on the topic "Multitemporel"

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Octariady, J., A. Hikmat, E. Widyaningrum, R. Mayasari, and M. K. Fajari. "VERTICAL ACCURACY COMPARISON OF DIGITAL ELEVATION MODEL FROM LIDAR AND MULTITEMPORAL SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 419–23. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-419-2017.

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Digital elevation model serves to illustrate the appearance of the earth's surface. DEM can be produced from a wide variety of data sources including from radar data, LiDAR data, and stereo satellite imagery. Making the LiDAR DEM conducted using point cloud data from LiDAR sensor. Making a DEM from stereo satellite imagery can be done using same temporal or multitemporal stereo satellite imagery. How much the accuracy of DEM generated from multitemporal stereo stellite imagery and LiDAR data is not known with certainty. The study was conducted using LiDAR DEM data and multitemporal stereo sate
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Huang, Liang, Qiuzhi Peng, and Xueqin Yu. "Change Detection in Multitemporal High Spatial Resolution Remote-Sensing Images Based on Saliency Detection and Spatial Intuitionistic Fuzzy C-Means Clustering." Journal of Spectroscopy 2020 (March 23, 2020): 1–9. http://dx.doi.org/10.1155/2020/2725186.

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In order to improve the change detection accuracy of multitemporal high spatial resolution remote-sensing (HSRRS) images, a change detection method of multitemporal remote-sensing images based on saliency detection and spatial intuitionistic fuzzy C-means (SIFCM) clustering is proposed. Firstly, the cluster-based saliency cue method is used to obtain the saliency maps of two temporal remote-sensing images; then, the saliency difference is obtained by subtracting the saliency maps of two temporal remote-sensing images; finally, the SIFCM clustering algorithm is used to classify the saliency dif
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Zhang, Xiaokang, Wenzhong Shi, Zhiyong Lv, and Feifei Peng. "Land Cover Change Detection from High-Resolution Remote Sensing Imagery Using Multitemporal Deep Feature Collaborative Learning and a Semi-supervised Chan–Vese Model." Remote Sensing 11, no. 23 (2019): 2787. http://dx.doi.org/10.3390/rs11232787.

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This paper presents a novel approach for automatically detecting land cover changes from multitemporal high-resolution remote sensing images in the deep feature space. This is accomplished by using multitemporal deep feature collaborative learning and a semi-supervised Chan–Vese (SCV) model. The multitemporal deep feature collaborative learning model is developed to obtain the multitemporal deep feature representations in the same high-level feature space and to improve the separability between changed and unchanged patterns. The deep difference feature map at the object-level is then extracte
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Parsa, I. Made. "PENGUJIAN MODEL PENDEKATAN PROBABILITAS BERBASIS PERUBAHAN PENUTUP LAHAN CITA LANDSAT TUNGGAL MULTIWAKTU UNTUK PEMETAAN LAHAN SAWAH." Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital 12, no. 1 (2015): 29–42. https://doi.org/10.30536/inderaja.v12i1.3308.

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Tests on a model of probability approach to paddy field mapping based on land cover changes that has been done in several districts in West Java showed overall accuracy an average only 65.5%. It is thought to be related to the use of annual multitemporal Landsat mosaic results so often seem illogical because the image is derived from some of the data obtained at different seasons. In this regard has been done phase II trial of the model using multitemporal Landsat-8 singles data (not mosaic data). The objective of this research is to test the validity of the probability model on multitemporal
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Fosbury, Adam M. "Estimation with Multitemporal Measurements." Journal of Guidance, Control, and Dynamics 33, no. 5 (2010): 1518–26. http://dx.doi.org/10.2514/1.47984.

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Zhu, Wei, Qian Du, and James E. Fowler. "Multitemporal Hyperspectral Image Compression." IEEE Geoscience and Remote Sensing Letters 8, no. 3 (2011): 416–20. http://dx.doi.org/10.1109/lgrs.2010.2081661.

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Oliveira Soares, Eduardo. "A MULTITEMPORAL VILA ITORORÓ." PIXO - Revista de Arquitetura, Cidade e Contemporaneidade 7, no. 24 (2023): 140–51. http://dx.doi.org/10.15210/pixo.v7i24.3220.

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Vila Itororó foi inaugurada em 1922 e está localizada na cidade de São Paulo. O conjunto arquitetônico inicialmente era formado por um palacete, casas de aluguel e uma piscina. Desde 2013 abriga um Centro Cultural. A configuração arquitetônica atual revela a variedade de usos e de públicos ao longo do tempo; as mudanças urbanas da cidade e do bairro; as oscilações entre os perfis dos moradores; e as abordagens sobre como lidar com o patrimônio das cidades. Esses fatores ajudaram a forjar, ao longo de um século, um conjunto arquitetônico que mescla edificações já restauradas, obras em andamento
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Shu, Chang, and Lihui Sun. "Automatic target recognition method for multitemporal remote sensing image." Open Physics 18, no. 1 (2020): 170–81. http://dx.doi.org/10.1515/phys-2020-0015.

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AbstractThe traditional target recognition method for the remote sensing image is difficult to accurately identify the specified targets from the massive remote sensing image data. Based on the theory of multitemporal recognition, an automatic target recognition method for the remote sensing image is proposed in this article. The proposed recognition method includes four modules: automatic segmentation of multitemporal remote sensing image, automatic target extraction of multitemporal remote sensing image, automatic processing of multitemporal remote sensing image, and automatic recognition of
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Ilteralp, Melike, Sema Ariman, and Erchan Aptoula. "A Deep Multitask Semisupervised Learning Approach for Chlorophyll-a Retrieval from Remote Sensing Images." Remote Sensing 14, no. 1 (2021): 18. http://dx.doi.org/10.3390/rs14010018.

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This article addresses the scarcity of labeled data in multitemporal remote sensing image analysis, and especially in the context of Chlorophyll-a (Chl-a) estimation for inland water quality assessment. We propose a multitask CNN architecture that can exploit unlabeled satellite imagery and that can be generalized to other multitemporal remote sensing image analysis contexts where the target parameter exhibits seasonal fluctuations. Specifically, Chl-a estimation is set as the main task, and an unlabeled sample’s month classification is set as an auxiliary network task. The proposed approach i
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Gutierrez, Laura, Elías Haro, and Natalia Díaz. "Multitemporal Analysis of Potential Geographic Distribution of Lama Guanicoe." Revista Ciencia y Tecnología 20, no. 1 (2024): 89–100. http://dx.doi.org/10.17268/rev.cyt.2024.01.07.

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The purpose of this research is focused on modeling the geographic distribution of Lama guanicoe in South America in two time periods, 2021 and 2070, using MaxEnt software to correlate the bioclimatic variables and calculate the change in the distribution area. Then, with this information, a comparative map of the current and future areas was made in QGIS. As conclusions we can see that in the region of Peru the change of distribution area is reduced, which is observable in the majority of the nations where the guanaco (Lama guanicoe) lives, which is currently considered Endangered, so accordi
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Dissertations / Theses on the topic "Multitemporel"

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Alvarez, padilla Francisco Javier. "AIMM - Analyse d'Images nucléaires dans un contexte Multimodal et Multitemporel." Thesis, Reims, 2019. http://www.theses.fr/2019REIMS017/document.

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Ces travaux de thèse portent sur la proposition de stratégies de segmentation des tumeurs cancéreuses dans un contexte multimodal et multitemporel. La multimodalité fait référence au couplage de données TEP/TDM pour exploiter conjointement les deux sources d’information pour améliorer les performances de la segmentation. La multitemporalité fait référence à la disposition des images acquises à différents dates, ce qui limite une correspondance spatiale possible entre elles.Dans une première méthode, une structure arborescente est utilisée pour traiter et pour extraire des informations afin d’a
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BAPPEL, Eric Albert. "Apport de la teledetection aerospatiale pour l'a ide à la gestion de la sole canniere reunionnaise." Phd thesis, Université de la Réunion, 2005. http://tel.archives-ouvertes.fr/tel-00489730.

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L'objectif de cette thèse est d'étudier les potentialités de la télédétection aérospatiale pour l'aide à la gestion de sole cannière Réunionnaise. Nous avons utilisé une base de données d'images multitemporelles SPOT 4&5 (années 2002 et 2003) et organisé une campagne d'acquisition d'images hyperspectrales CASI en septembre 2002. Simultanément, nous avons assuré le déroulement et la mise en place d'un protocole de mesures au champ pour suivre l'évolution des paramètres biophysiques descriptifs de l'état du couvert de la canne (surface foliaire, taux d'azote, biomasse de la culture) et des param
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Gimenez, Rollin. "Exploitation de données optiques multimodales pour la cartographie des espèces végétales suivant leur sensibilité aux impacts anthropiques." Electronic Thesis or Diss., Toulouse, ISAE, 2023. http://www.theses.fr/2023ESAE0030.

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Les impacts anthropiques sur les sols végétalisés sont difficiles à caractériser à l'aide d’instruments de télédétection optique. Ces impacts peuvent cependant entrainer de graves conséquences environnementales. Leur détection indirecte est rendue possible par les altérations provoquées sur la biocénose et la physiologie des plantes, qui se traduisent par des changements de propriétés optiques au niveau de la plante et de la canopée. L'objectif de cette thèse est de cartographier les espèces végétales en fonction de leur sensibilité aux impacts anthropiques à l'aide de données de télédétection
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BECCATI, Alan. "Multi-sensor Evolution Analysis: an advanced GIS for interactive time series analysis and modelling based on satellite data." Doctoral thesis, Università degli studi di Ferrara, 2011. http://hdl.handle.net/11392/2388733.

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Archives of Earth remote sensing data, acquired from orbiting satellites, contain large amounts of information that can be used both for research activities and decision support. Thematic categorization is one method to extract from satellite data meaningful information that humans can directly comprehend. An interactive system that permits to analyse geo-referenced thematic data and its evolution over time is proposed as a tool to efficiently exploit such vast and growing amount of data. This thesis describes the approach used in building the system, the data processing methodology, details a
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BAPPEL, Eric Albert. "APPORT DE LA TELEDETECTION AEROSPATIALE POUR L'AIDE A LA GESTION DE LA SOLE CANNIERE REUNIONNAISE." Phd thesis, Université de la Réunion, 2005. http://tel.archives-ouvertes.fr/tel-00009403.

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L'objectif de cette thèse est d'étudier les potentialités de la télédétection aérospatiale pour l'aide à la gestion de sole cannière Réunionnaise. Nous avons utilisé une base de données d'images multitemporelles SPOT 4&5 (années 2002 et 2003) et organisé une campagne d'acquisition d'images hyperspectrales CASI en septembre 2002. Simultanément, nous avons assuré le déroulement et la mise en place d'un protocole de mesures au champ pour suivre l'évolution des paramètres biophysiques descriptifs de l'état du couvert de la canne (surface foliaire, taux d'azote, biomasse de la culture) et des param
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Lê, Thu Trang. "Extraction d'informations de changement à partir des séries temporelles d'images radar à synthèse d'ouverture." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAA020/document.

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La réussite du lancement d'un grand nombre des satellites Radar à Synthèse d'Ouverture (RSO - SAR) de nouvelle génération a fourni régulièrement des images SAR et SAR polarimétrique (PolSAR) multitemporelles à haute et très haute résolution spatiale sur de larges régions de la surface de la Terre. Le système SAR est approprié pour des tâches de surveillance continue ou il offre l'avantage d'être indépendant de l'éclairement solaire et de la couverture nuageuse. Avec des données multitemporelles, l'information spatiale et temporelle peut être exploitée simultanément pour rendre plus concise, l'
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Lima, Elaine de Cacia de. "Qualidade multitemporal da paisagem." reponame:Repositório Institucional da UFPR, 2013. http://hdl.handle.net/1884/26113.

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O uso inadequado dos recursos naturais foi uma constante no passado em toda a Região Sul do Brasil. Para orientar o uso sustentável desses recursos se faz necessário o desenvolvimento de pesquisas que permitam diagnosticar a qualidade da paisagem de determinado espaço geográfico e que proporcionem soluções adequadas de uso e conservação. Com este propósito foi desenvolvida uma pesquisa em General Carneiro, Estado do Paraná, no Bioma da Floresta Ombrófila Mista, em uma propriedade das Indústrias Pizzatto. Com o objetivo de realizar análise e interpretação multitemporal da qualidade visual da pa
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Qi, Jiaguo. "Compositing multitemporal remote sensing data." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186327.

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In order to reduce the problems of clouds, atmospheric variations, view angle effects, and the soil background variations in the high temporal frequency AVHRR data, a compositing technique is usually employed. Current compositing techniques use a single pixel selection criterion of outputting the input pixel of maximum value NDVI. Problems, however, exist due to the use of the NDVI classifier and to the imperfection of the pixel selection criteria of the algorithm itself. The NDVI was found not to have the maximum value under an ideal observation condition, while the single pixel selection cri
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Yousif, Osama. "Change Detection Using Multitemporal SAR Images." Licentiate thesis, KTH, Geodesi och geoinformatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123494.

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Multitemporal SAR images have been used successfully for the detection of different types of environmental changes. The detection of urban change using SAR images is complicated due to the special characteristics of SAR images—for example, the existence of speckle and the complex mixture of the urban environment. This thesis investigates the detection of urban changes using SAR images with the following specific objectives: (1) to investigate unsupervised change detection, (2) to investigate reduction of the speckle effect and (3) to investigate spatio-contextual change detection. Beijing and
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Vicente-Guijalba, Fernando. "Teledetección Multitemporal mediante Dinámica de Sistemas." Doctoral thesis, Universidad de Alicante, 2016. http://hdl.handle.net/10045/57626.

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Books on the topic "Multitemporel"

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Ban, Yifang, ed. Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5.

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Franco, Rodolfo. Análisis satelital multitemporal de los bosques del Carare-Opón. Universidad Distrital Francisco José de Caldas, Centro de Investigaciones y Desarrollo Científico, 2004.

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Ager, Alan A. Characterizing meadow vegetation with multitemporal landsat thematic mapper remote sensing. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2004.

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United States. National Aeronautics and Space Administration., ed. Relating multitemporal meteorological satellite date to climatological data for Africa: Semi-annual report, August 1986 - March 1987. National Aeronautics and Space Administration, 1987.

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United States. National Aeronautics and Space Administration, ed. Relating multitemporal meteorological satellite date to climatological data for Africa: Semi-annual report, August 1986 - March 1987. National Aeronautics and Space Administration, 1987.

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Heering, Judith M. Multitemporale Luftbildauswertung zur Dokumentation und Analyse der Entwicklung postindustrieller Vegetation am Beispiel des Industriewaldstandortes Rheinelbe. Geographisches Institut der Universität Bochum, 2008.

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Heering, Judith M. Multitemporale Luftbildauswertung zur Dokumentation und Analyse der Entwicklung postindustrieller Vegetation am Beispiel des Industriewaldstandortes Rheinelbe. Geographisches Institut der Universität Bochum, 2008.

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Peng, Shikui. On the combination of multitemporal satellite and field data for forest inventories =: Moniaikaisen satelliitti- ja maastoaineiston yhteiskäyttö metsien inventoinnissa. Suomen Metsätieteellinen Seura, 1987.

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Ecuador. Subsecretaría de Recursos Pesqueros. Estudio multitemporal de manglares, camaroneras y areas salinas de la costa ecuatoriana, mediante información de sensores remotos (1969-1984): Memoria técnica. La Subsecretaría, 1986.

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Brasil, Unesco. Vegetação no Distrito Federal: Tempo e espaco : uma avaliação multitemporal da perda de cobertura vegetal no DF e da diversidade florística da Reserva da Biosfera do Cerrado, Fase I. 2nd ed. UNESCO Brasil, 2002.

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Book chapters on the topic "Multitemporel"

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Ban, Yifang. "Multitemporal Remote Sensing: Current Status, Trends and Challenges." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_1.

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Rodrigues, Arlete, André R. S. Marcal, and Mário Cunha. "PhenoSat – A Tool for Remote Sensing Based Analysis of Vegetation Dynamics." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_10.

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Verger, Aleixandre, Sivasathivel Kandasamy, and Frédéric Baret. "Temporal Techniques in Remote Sensing of Global Vegetation." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_11.

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Gumbricht, Thomas. "Soil Moisture Dynamics Estimated from MODIS Time Series Images." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_12.

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He, Tao, and Shunlin Liang. "Temporal Analysis of Remotely Sensed Land Surface Shortwave Albedo." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_13.

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Menenti, Massimo, H. R. Ghafarian Malamiri, Haolu Shang, Silvia M. Alfieri, Carmine Maffei, and Li Jia. "Observing the Response of Terrestrial Vegetation to Climate Variability Across a Range of Time Scales by Time Series Analysis of Land Surface Temperature." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_14.

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McNairn, Heather, and Jiali Shang. "A Review of Multitemporal Synthetic Aperture Radar (SAR) for Crop Monitoring." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_15.

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Brown, Nicholas D. A., Trisalyn Nelson, Michael A. Wulder, et al. "An Approach for Determining Relationships Between Disturbance and Habitat Selection Using Bi-weekly Synthetic Images and Telemetry Data." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_16.

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Wang, Yeqiao, Shuhua Qi, and Jian Xu. "Multitemporal Remote Sensing for Inland Water Bodies and Wetland Monitoring." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_17.

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Cao, Xin, Jun Chen, Anping Liao, Lijun Chen, and Jin Chen. "Global Land Surface Water Mapping and Analysis at 30 m Spatial Resolution for Years 2000 and 2010." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_18.

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Conference papers on the topic "Multitemporel"

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Jin, Huiran, Peijun Li, and Wenjie Fan. "Land Cover Classification using Multitemporal CHRIS/PROBA Images and Multitemporal Texture." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4779829.

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Dagurov, P. N., A. V. Dmitriev, T. N. Chimitdorzhiev, A. K. Baltukhaev, and I. I. Kirbizhekova. "Backscatter analysis of C-band radar signals using Sentinel-1 multitemporal data (test site near lake Baikal)." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.71.20.007.

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The results of the analysis of multitemporal data of the Sentinel-1 radar for the test site near Lake Baikal are presented. The analysis of the seasonal dependences of backscattering from the soil is carried out. The connection between the signal level and the processes of freezing and thawing and temperature values has been established.
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Sigurdsson, Jakob, Magnus O. Ulfarsson, and Johannes R. Sveinsson. "Fast multitemporal hyperspectral unmixing." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8126933.

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Schröder, Daniel, Katharina Anders, Lukas Winiwarter, and Daniel Wujanz. "Permanent terrestrial LiDAR monitoring in mining, natural hazard prevention and infrastructure protection – Chances, risks, and challenges: A case study of a rockfall in Tyrol, Austria." In 5th Joint International Symposium on Deformation Monitoring. Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13649.

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The objective of this work is the development of an integrated monitoring service for the identification and evaluation of ground surface and slope movements in the context of coal mining, the prevention of natural hazards and protection of infrastructure. The focus is set on the integration of a long-range terrestrial laser scanner into a continuous monitoring system from an engineering geodetic point of view. In the Vals valley in Tyrol, a permanently installed laser scanner was successfully operated via a web portal to monitor surface processes in the area of rockfall debris on a high-mount
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Amitrano, Donato, Francesca Cecinati, Gerardo Di Martino, Antonio Iodice, Daniele Riccio, and Giuseppe Ruello. "Sentinel-1 multitemporal SAR products." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326695.

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CARRANZA, MARIA LAURA, ALICIA ACOSTA, and CARLO RICOTTA. "MULTITEMPORAL PHENOLOGICAL CLASSIFICATION OF ARGENTINA." In Proceedings of the First International Workshop on Multitemp 2001. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812777249_0026.

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Coren, Franco. "Multitemporal Lidar Monitoring of Landslides." In 73rd EAGE Conference and Exhibition - Workshops 2011. EAGE Publications BV, 2011. http://dx.doi.org/10.3997/2214-4609.20144694.

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Natali, S., A. Beccati, S. D'Elia, et al. "Multitemporal data management and exploitation infrastructure." In 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005087.

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Kiang, Richard K. "Multitemporal multispectral classification of global vegetation." In BiOS '98 International Biomedical Optics Symposium, edited by Carol J. Cogswell, Jose-Angel Conchello, Jeremy M. Lerner, Thomas T. Lu, and Tony Wilson. SPIE, 1998. http://dx.doi.org/10.1117/12.310564.

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Oliver, Christopher J., Ian McConnell, and Douglas G. Corr. "Multitemporal change detection for SAR imagery." In Remote Sensing, edited by Francesco Posa. SPIE, 1999. http://dx.doi.org/10.1117/12.373159.

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Reports on the topic "Multitemporel"

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McNairn, H., D. Wood, and R. J. Brown. Mapping Crop Characteristics Using Multitemporal RADARSAT Imager. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219318.

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Ager, Alan A., and Karen E. Owens. Characterizing meadow vegetation with multitemporal Landsat thematic mapper remote sensing. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2004. http://dx.doi.org/10.2737/pnw-rn-544.

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McNairn, H., R. J. Brown, and D. Wood. Incidence Angle Considerations for Crop Mapping Using Multitemporal RADARSAT Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219347.

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Groeneveld, Davis, and Williams. L51974 Automated Detection of Encroachment Events Using Satellite Remote Sensing. Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0011300.

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As an integral part of the ongoing effort to develop an operational capability of remote sensing based pipeline encroachment monitoring, this investigation focused on the development of automated target detection using synthetic aperture radar (RADARSAT) and optical (QUICKBIRD, EROS) satellite imagery. Specifically, the study aimed at meeting the following objectives: To develop automated target detection algorithms for optical and radar imagery that replicate detection rates obtained through visual image interpretation; To investigate the utility of newly available high-resolution optical sat
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Puestow. L52194 Detection of Third Party Encroachment Using Satellite Based Remote Sensing Technologies. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0011045.

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Building on past experience, it was the objective of this investigation to automate the satellite-based detection of encroachment events, to improve target detection and reduce false alarms using radar and optical imagery and to investigate the integration of one-call services into the process flow. Algorithm development for target detection using optical imagery was carried out with the intention to facilitate the future integration of unmanned airborne vehicle (UAV) technology into the process. The capacity of the multitemporal algorithm was extended to enable the detection of area changes i
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A multitemporal (1979-2009) land-use/land-cover dataset of the binational Santa Cruz Watershed. US Geological Survey, 2011. http://dx.doi.org/10.3133/ofr20111131.

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