Relevant bibliographies by topics / TIMESAT

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'TIMESAT'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "TIMESAT"

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Stanimirova, Cai, Melaas, et al. "An Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms." Remote Sensing 11, no. 19 (2019): 2201. http://dx.doi.org/10.3390/rs11192201.

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Observations of vegetation phenology at regional-to-global scales provide important information regarding seasonal variation in the fluxes of energy, carbon, and water between the biosphere and the atmosphere. Numerous algorithms have been developed to estimate phenological transition dates using time series of remotely sensed spectral vegetation indices. A key challenge, however, is that different algorithms provide inconsistent results. This study provides a comprehensive comparison of start of season (SOS) and end of season (EOS) phenological transition dates estimated from 500 m MODIS data
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Gholamnia, Mehdi, Reza Khandan, Stefania Bonafoni, and Ali Sadeghi. "Spatiotemporal Analysis of MODIS NDVI in the Semif-Arid Region of Kurdistan (Iran)." Remote Sensing 11, no. 14 (2019): 1723. http://dx.doi.org/10.3390/rs11141723.

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In this study, the spatiotemporal behavior of vegetation cover in the Kurdistan province of Iran was analyzed for the first time by TIMESAT and Breaks for Additive Season and Trend (BFAST) algorithms. They were applied on Normalized Vegetation Index (NDVI) time series from 2000 to 2016 derived from Moderate Resolution Imaging Spectroradiometer (MODIS) observations. The TIMESAT software package was used to estimate the seasonal parameters of NDVI and their relation to land covers. BFAST was applied for identifying abrupt changes (breakpoints) of NDVI and their magnitudes. The results from TIMES
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Jönsson, Per, and Lars Eklundh. "TIMESAT—a program for analyzing time-series of satellite sensor data." Computers & Geosciences 30, no. 8 (2004): 833–45. http://dx.doi.org/10.1016/j.cageo.2004.05.006.

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Tan, B., J. T. Morisette, R. E. Wolfe, et al. "An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics From MODIS Data." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4, no. 2 (2011): 361–71. http://dx.doi.org/10.1109/jstars.2010.2075916.

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Tomàs, Jordi Creus, Fabio Augusto Faria, Júlio César Dalla Mora Esquerdo, Alexandre Camargo Coutinho, and Claudia Bauzer Medeiros. "SiRCub, A Novel Approach to Recognize Agricultural Crops Using Supervised Classification." International Journal of Agricultural and Environmental Information Systems 8, no. 4 (2017): 20–36. http://dx.doi.org/10.4018/ijaeis.2017100102.

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This paper presents a new approach to deal with agricultural crop recognition using SVM (Support Vector Machine), applied to time series of NDVI images. The presented method can be divided into two steps. First, the Timesat software package is used to extract a set of crop features from the NDVI time series. These features serve as descriptors that characterize each NDVI vegetation curve, i.e., the period comprised between sowing and harvesting dates. Then, it is used an SVM to learn the patterns that define each type of crop, and create a crop model that allows classifying new series. The aut
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Seo, Dae Kyo, Jeong Min Lee, Ye Seul Lim, Sang Won Han, and Mu Wook Pyeon. "Analysis of MODIS LAI and NDVI Patterns of Broad-leaved Trees by the Timesat Program on the Korean Peninsula." Journal of Korean Society for Geospatial Information System 25, no. 2 (2017): 13–19. http://dx.doi.org/10.7319/kogsis.2017.25.2.013.

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Kim, Nam-Shin, Yong-Chan Cho, Seung-Hwan Oh, Hye-Jin Kwon, and Gyung-Soon Kim. "A Phenology Modelling Using MODIS Time Series Data in South Korea." Korean Journal of Ecology and Environment 47, no. 3 (2014): 186–93. http://dx.doi.org/10.11614/ksl.2014.47.3.186.

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BAYMA, ADRIANA PANHOL, and EDSON EYJI SANO. "SÉRIES TEMPORAIS DE ÍNDICES DE VEGETAÇÃO (NDVI E EVI) DO SENSOR MODIS PARA DETECÇÃO DE DESMATAMENTOS NO BIOMA CERRADO." Boletim de Ciências Geodésicas 21, no. 4 (2015): 797–813. http://dx.doi.org/10.1590/s1982-21702015000400047.

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O Cerrado é um bioma caracterizado por uma ampla variedade de formações vegetacionais, pela forte sazonalidade climática e pela acentuada pressão antrópica. Este estudo analisou o uso de séries temporais (2000-2013) do MODIS EVI e MODIS NDVI para detectar desmatamentos no Cerrado. As áreas de estudo corresponderam aos municípios de Jataí/GO, Luís Eduardo Magalhães/BA, Mateiros/TO e São Miguel do Araguaia/GO. As séries temporais foram suavizadas pelo filtro logística dupla, disponível no programa TIMESAT. Foi utilizada a estatística de Kruskal-Wallis para definir se as assinaturas temporais rep
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Johann, Jerry A., Willyan R. Becker, Miguel A. Uribe-Opazo, and Erivelto Mercante. "Uso de imagens do sensor orbital modis na estimação de datas do ciclo de desenvolvimento da cultura da soja para o estado do Paraná – Brasil." Engenharia Agrícola 36, no. 1 (2016): 126–42. http://dx.doi.org/10.1590/1809-4430-eng.agric.v36n1p126-142/2016.

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RESUMO O Estado do Paraná caracteriza-se por uma grande variabilidade de épocas de semeadura (DS) e, consequentemente, pelo desenvolvimento máximo vegetativo (DMDV), colheita (DC) e ciclo (CI) para a cultura da soja. O objetivo deste trabalho foi estimar essas datas para o período de primavera-verão do ano-safra de 2011/2012, por meio de séries temporais de imagens do Índice de Vegetação Realçado (do inglês Enhanced Vegetation Index - EVI) do sensor Modis (Moderate Resolution Imaging Spectroradiometer). Gerou-se um perfil espectrotemporal médio de EVI, considerando todos os pixels mapeados com
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Moreira, Andreise, Denise C. Fontana, Tatiana M. Kuplich, and Laurindo A. Guasselli. "Phenological metrics of the grassland vegetation of Rio Grande do Sul, Brazil." Revista Brasileira de Engenharia Agrícola e Ambiental 23, no. 12 (2019): 899–906. http://dx.doi.org/10.1590/1807-1929/agriambi.v23n12p899-906.

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ABSTRACT Considering that plant phenology studies allow establishing relationships between phenological patterns of vegetation and changes caused by climate variability, the aim of this study was to obtain phenological metrics for the predominant grassland typologies in Rio Grande do Sul State, Brazil (latitudes 27º 05’ and 33º 45’ S and longitudes 49° 43’ and 57º 39’ W) and to evaluate the spatial-temporal distribution pattern of these metrics under the influence of the subtropical climate variability. The phenological metrics were obtained based on the time series of the EVI (Enhanced Vegeta
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Dissertations / Theses on the topic "TIMESAT"

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Becker, Willyan Ronaldo. "Análise do padrão sazonal de imagens de índice de vegetação do sensor modis para culturas agrícolas." Universidade Estadual do Oeste do Paraná, 2016. http://tede.unioeste.br/handle/tede/2975.

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Submitted by Edineia Teixeira (edineia.teixeira@unioeste.br) on 2017-08-31T19:33:36Z No. of bitstreams: 2 Willyan_Becker2017.pdf: 12083877 bytes, checksum: 7a9e90225376028c123e5c6e1c568603 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Made available in DSpace on 2017-08-31T19:33:36Z (GMT). No. of bitstreams: 2 Willyan_Becker2017.pdf: 12083877 bytes, checksum: 7a9e90225376028c123e5c6e1c568603 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-02-10<br>Conselho Nacional de Pesquisa e Desenvolvimento Cie
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Braget, Austin Ray. "Time series analysis of phenometrics and long-term vegetation trends for the Flint Hills ecoregion using moderate resolution satellite imagery." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/35553.

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Master of Arts<br>Department of Geography<br>J. M. Shawn Hutchinson<br>Grasslands of the Flint Hills are often burned as a land management practice. Remote sensing can be used to help better manage prairie landscapes by providing useful information about the long-term trends in grassland vegetation greenness and helping to quantify regional differences in vegetation development. Using MODIS 16-day NDVI composite imagery between the years 2001-10 for the entire Flint Hills ecoregion, BFAST was used to determine trend, seasonal, and noise components of the image time series. To explain the tren
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Teles, Thiago Sousa. "Relações de métricas fenológicas EVI/MODIS do TIMESAT com sombreamento e padrões atípicos de temperatura em floresta estacional decidual." Instituto Nacional de Pesquisas Espaciais (INPE), 2015. http://urlib.net/sid.inpe.br/mtc-m21b/2015/02.27.14.14.

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O objetivo deste trabalho foi verificar possíveis relações de métricas fenológicas extraídas pelo algoritmo TIMESAT com o sombreamento resultante das variações sazonais no Ângulo Zenital Solar (AZS) e dos efeitos topográficos locais e com padrões atípicos de temperatura observados na Floresta Estacional Decidual do Parque Estadual do Turvo (PET), localizado na região sul do Brasil. De forma mais específica, procurou-se: (1) caracterizar fisionômico-estruturalmente a vegetação da área de estudo; (2) extrair métricas fenológicas aplicando o TIMESAT ao produto \emph{Enhanced Vegetation Index} (EV
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Pockrandt, Bryanna Rae. "A multi-year comparison of vegetation phenology between military training lands and native tallgrass prairie using TIMESAT and moderate-resolution satellite imagery." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/17320.

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Master of Arts<br>Department of Geography<br>J. M. Shawn Hutchinson<br>Time series of normalized difference vegetation index (NDVI) data from satellite spectral measurements can be used to characterize and quantify changes in vegetation phenology and explore the role of natural and anthropogenic activities in causing those changes. Several programs and methods exist to process phenometric data from remotely-sensed imagery, including TIMESAT, which extracts seasonality parameters from time-series image data by fitting a smooth function to the series. This smoothing function, however, is depende
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Schwieder, Marcel. "Landsat derived land surface phenology metrics for the characterization of natural vegetation in the Brazilian savanna." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19368.

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Die Brasilianische Savanne, auch bekannt als der Cerrado, bedeckt ca. 24% der Landoberfläche Brasiliens. Der Cerrado ist von einer einzigartigen Biodiversität und einem starken Gradienten in der Vegetationsstruktur gekennzeichnet. Großflächige Landnutzungsveränderungen haben dazu geführt, dass annähernd die Hälfte der Cerrado in bewirtschaftetes Land umgewandelt wurde. Die Kartierung ökologischer Prozesse ist nützlich, um naturschutzpolitische Entscheidungen auf räumlich explizite Informationen zu stützen, sowie um das Verständnis der Ökosystemdynamik zu verbessern. Neue Erdbeobachtungssensore
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Andrade, Alice César Fassoni de. "Dados MODIS e Landsat-8 para análise da água da Lagoa dos Patos, RS." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/139185.

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Imagens adquiridas por sensores orbitais possibilitam observações da Terra e auxiliam estudos de grande áreas. Este trabalho utilizou imagens orbitais para analisar os componentes que modificam as características óticas da água na Lagoa dos Patos, localizada no sul do Brasil. A partir de imagens multiespectrais dos sensores MODIS/Terra e OLI/Landsat-8, foi possível avaliar a variação espaço-temporal de sólidos em suspensão (SS) e estimar alguns parâmetros de qualidade da água na Lagoa dos Patos. Na primeira etapa desse trabalho, o padrão anual e espacial de SS na laguna foi determinado com bas
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Conocimiento, Dirección de Gestión del. "Financial Times." The Financial Times Limited, 2004. http://hdl.handle.net/10757/655302.

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Seddigh, Nabil. "Performance analysis of TCP's retransmission timeout mechanism." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ61025.pdf.

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Chowdhury, Debashish. "First passage times." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-179485.

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Sugiyama, Takemi. "Two times two." Thesis, Virginia Polytechnic Institute and State University, 1992. http://hdl.handle.net/10919/52124.

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Books on the topic "TIMESAT"

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TimeOut Los Angeles. 8th ed. Time Out Guides, 2013.

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Maxim, John R. Timeout of mind. Century, 1986.

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Joyce, Ed. Prime times, bad times. Doubleday, 1989.

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Good times, bad times. 3rd ed. Phoenix, 1994.

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O'Day, Anita. High times, hard times. Limelight Editions, 1993.

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Joyce, Ed. Prime times, bad times. Doubleday, 1988.

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O'Day, Anita. High times, hard times. Limelight Editions, 1989.

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Graham, Law, ed. Hard times, for these times. Broadview Press, 1996.

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Dickens, Charles. Hard times: For these times. Penguin, 2007.

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Dickens, Charles. Hard times for these times. Penguin, 1995.

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Book chapters on the topic "TIMESAT"

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Eklundh, Lars, and Per Jönsson. "TIMESAT for Processing Time-Series Data from Satellite Sensors for Land Surface Monitoring." In Multitemporal Remote Sensing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_9.

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Eklundh, Lars, and Per Jönsson. "TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics." In Remote Sensing Time Series. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15967-6_7.

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O’Hara, James E., Igor UsUpensky, N. J. Bostanian, et al. "Timema Walkingsticks." In Encyclopedia of Entomology. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_2462.

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Andersen, Kim, Jakob Ohme, Camilla Bjarnøe, Mats Joe Bordacconi, Erik Albæk, and Claes de Vreese. "Election times: special times?" In Generational Gaps in Political Media Use and Civic Engagement. Routledge, 2020. http://dx.doi.org/10.4324/9781003111498-10.

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Brucker, Peter. "Changeover Times and Transportation Times." In Scheduling Algorithms. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03612-9_9.

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Brucker, Peter. "Changeover Times and Transportation Times." In Scheduling Algorithms. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03088-2_9.

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Brucker, Peter. "Changeover Times and Transportation Times." In Scheduling Algorithms. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04550-3_9.

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Brucker, Peter. "Changeover Times and Transportation Times." In Scheduling Algorithms. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24804-0_9.

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Bauman, Whitney A. "Planetary times and queer times." In The Everyday Lives of Gay Men. Routledge, 2021. http://dx.doi.org/10.4324/9781003133506-13.

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Kesselman, Alex, and Yishay Mansour. "Optimizing TCP Retransmission Timeout." In Networking - ICN 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31957-3_17.

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Conference papers on the topic "TIMESAT"

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Song, Chunqiao, Bo Huang, and Songcai You. "Comparison of three time-series NDVI reconstruction methods based on TIMESAT." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6351057.

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Yanxiang, Zhen, Su Fang, and Kou Mingyan. "A Fuzzy Packet Loss Differentiation Algorithm Based on Ack-Timeout Times Ratio in Heterogeneous Network." In 2010 International Conference on Communications and Mobile Computing (CMC). IEEE, 2010. http://dx.doi.org/10.1109/cmc.2010.177.

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Bodenstein, Christoph, and Armin Zimmermann. "TimeNET Optimization Environment." In 8th International Conference on Performance Evaluation Methodologies and Tools. ICST, 2015. http://dx.doi.org/10.4108/icst.valuetools.2014.258193.

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Zhu, Huikang, Hongbo Fan, Xuan Luo, and Yaohui Jin. "Intelligent timeout master: Dynamic timeout for SDN-based data centers." In 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM). IEEE, 2015. http://dx.doi.org/10.1109/inm.2015.7140363.

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Larrain, Santiago, Christoph Trattner, Denis Parra, Eduardo Graells-Garrido, and Kjetil Nørvåg. "Good Times Bad Times." In RecSys '15: Ninth ACM Conference on Recommender Systems. ACM, 2015. http://dx.doi.org/10.1145/2792838.2799682.

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Jones, Rosie, and Kristina Lisa Klinkner. "Beyond the session timeout." In Proceeding of the 17th ACM conference. ACM Press, 2008. http://dx.doi.org/10.1145/1458082.1458176.

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Dixit, Mônica, Henrique Moniz, and António Casimiro. "Timeout-based adaptive consensus." In the 27th Annual ACM Symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2245276.2245371.

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Magner, Abram N., Jithin K. Sreedharan, Ananth Y. Grama, and Wojciech Szpankowski. "TIMES." In the 2018 World Wide Web Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3178876.3186105.

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Weeda, V. A., and P. B. L. Wiggenraad. "Joint design standard for running times, dwell times and headway times." In COMPRAIL 2006. WIT Press, 2006. http://dx.doi.org/10.2495/cr060601.

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Begen, Ali C., and Yucel Altunbasak. "Media-Aware Retransmission Timeout Estimation." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366356.

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Reports on the topic "TIMESAT"

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Eggert, L., and F. Gont. TCP User Timeout Option. RFC Editor, 2009. http://dx.doi.org/10.17487/rfc5482.

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Campbell, John, Stefano Giglio, and Christopher Polk. Hard Times. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16222.

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Carballo, Jerónimo, Alejandro Graziano, Georg Schaur, and Christian Volpe Martincus. Endogenous Border Times. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0000489.

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Author, Not Given. Drug Retention Times. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/908420.

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Malkin, G., and A. Harkin. TFTP Timeout Interval and Transfer Size Options. RFC Editor, 1998. http://dx.doi.org/10.17487/rfc2349.

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Malkin, G., and A. Harkin. TFTP Timeout Interval and Transfer Size Options. RFC Editor, 1995. http://dx.doi.org/10.17487/rfc1784.

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Joubert, S. B., T. Burr, and J. C. Scovel. Disaggregating times series data. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/481896.

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Stevens, Ann Huff, Douglas Miller, Marianne Page, and Mateusz Filipski. The Best of Times, the Worst of Times: Understanding Pro-cyclical Mortality. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w17657.

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Shin, Youngki, Myung Hwan Seo, Yuan Liao, and Sokbae (Simon) Lee. Desperate times call for desperate measures: government spending multipliers in hard times. The IFS, 2020. http://dx.doi.org/10.1920/wp.cem.2020.2920.

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Dudel, Christian. Expanding the Markov chain tool box: distributions of occupation times and waiting times. Max Planck Institute for Demographic Research, 2017. http://dx.doi.org/10.4054/mpidr-wp-2017-017.

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