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Dissertations / Theses on the topic 'Satellite estimates'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Enbäck, Henrik, and Charlotta Eriksson. "Hybrid Rainfall Estimates from Satellite, Lightning and Ground Station Data in West Africa." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-254757.

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Most of the working population in Ghana are farmers. It is of importance for them to know where and when precipitation will occur to prevent crop losses due to droughts and floodings. In order to have a sustainable agriculture, improved rainfall forecasts are needed. One way to do that is to enhance the initial conditions for the rainfall models. In the mid-latitudes, in-situ rainfall observations and radar data are used to monitor weather and measure rainfall. However, due to the lack of station data and the present absence of a radar network in West Africa, other rainfall estimates are neede

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2

Mote, Shekhar Raj. "EVALUATION OF STATE-OF-THE-ART PRECIPITATION ESTIMATES: AN APPROACH TO VALIDATE MULTI-SATELLITE PRECIPITATION ESTIMATES." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2364.

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Availability of precipitation data is very important in every aspect related to hydrology. Readings from the ground stations are reliable and are used in hydrological models to do various analysis. However, the predictions are always associated with uncertainties due to the limited number of ground stations, which requires interpolation of the data. Meanwhile, groundbreaking approach in capturing precipitation events from vantage point through satellites in space has created a platform to not only merge ground data with satellite estimates to produce more accurate result, but also to find the

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3

Smolinski, Steven P. "Marine boundary layer depth and relative humidity estimates using multispectral satellite measurements." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23069.

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A technique is presented to estimate surface relative humidity and boundary layer depth from multispectral satellite measurements using the AVHRR sensor on TIROS-N generation satellites. A sensitivity study quantifies the effect of a combination of input measurement errors of sea-surface temperature, optical depth and total water vapor used in the technique to produce outputs of surface relative humidity and boundary layer depth under simulated conditions and model atmospheres. Technique verification is then accomplished with satellite data compared to ship and aircraft vertical soundings and

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4

Teo, Chee-Kiat. "Application of satellite-based rainfall estimates to crop yield forecasting in Africa." Thesis, University of Reading, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434333.

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5

Margulis, Steven A. (Steven Adam) 1973. "Temporal disaggregation of satellite-derived monthly precipitation estimates for use in hydrologic applications." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/17453.

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6

Horvath, Akos. "Differences between satellite measurements and theoretical estimates of global cloud liquid water amounts." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280553.

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This dissertation investigated the estimation of global cloud water amounts. The study was prompted by the large discrepancy in published global mean values of cloud liquid water path. Microwave and optical satellite measurements of this quantity range from 25 g/m² to 80 g/m². Theoretical estimates are significantly larger with a current best guess value of 380 g/m². The major limitations of microwave measurements were found to be the inadequate separation of the cloud- and rainwater components, and the lack of retrievals over land. Optical observations were found to be constrained by the trun

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7

Athey, Ashley Taylor. "Verification of Satellite Derived Precipitation Estimates Over Complex Terrain: A Ground Truth Analysis for Nepal." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/52917.

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Precipitation estimates from the satellite-based Tropical Rainfall Measuring Mission (TRMM) instrumentation play a key role in flood analysis and water resource management across many regions of the world where rain gauge data are sparsely available. Previous studies have produced conflicting results regarding the accuracy of satellite-derived precipitation products, and several authors have called for further examination of their utility, specifically across the Himalaya Mountains region of southern Asia. In this study, daily precipitation estimates generated by TRMM were compared to daily p

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8

Hyzer, Garrett. "Effects of GPS Error on Animal Home Range Estimates." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4338.

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This study examined how variables related to habitat cover types can affect the positional accuracy of Global Positioning System (GPS) data and, subsequently, how wildlife home range analysis can be influenced when utilizing this inaccurate data. This study focused on measuring GPS accuracy relative to five habitat variables: open canopy, sparse canopy, dense canopy, open water, and building proximity. The study took place in Hillsborough County, in residential areas that contain all of these habitat types. Five GPS devices, designed for wildlife tracking purposes, were used to collect the

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9

Robertson, Noel Arthur. "Model-based and satellite estimates of snow hydrology and carbon fluxes at high latitudes." Thesis, University of Sheffield, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555106.

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This thesis is a study of how satellite data can be used to improve our understanding of the snow hydrology of boreal regions and its effects on their hydrological and carbon balance. The key parameter is the snow water equivalent (SWE). The thesis addresses two themes; (1) snow parameter retrieval from satellite data, and (2) the dependence on SWE of the hydrological and carbon balance of boreal regions. Using radiative transfer models, linked to a climate-driven snow model, it was found that the brightness temperature is most sensitive to the snow grain size, with SWE the second most signifi

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10

Oliveira, Rômulo Augusto Jucá. "Characteristics and error modeling of GPM satellite rainfall estimates during CHUVA campaign in Brazil." Instituto Nacional de Pesquisas Espaciais (INPE), 2017. http://urlib.net/sid.inpe.br/mtc-m21b/2017/05.22.17.16.

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Studies that investigate and evaluate the quality, limitations and uncertainties of satellite rainfall estimates are fundamental to assure the correct and successful use of these products in applications, such as climate studies, hydrological modeling and natural hazard monitoring. Over regions of the globe that lack in situ observations, such studies are only possible through intensive field measurement campaigns, which provide a range of high quality ground measurements, e.g., CHUVA (Cloud processes of tHe main precipitation systems in Brazil: A contribUtion to cloud resolVing modeling and t

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11

Quaas, Johannes, Olivier Boucher, Nicolas Bellouin, and Stefan Kinne. "Which of satellite- or model-based estimates is closer to reality for aerosol indirect forcing?" Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-189545.

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In their contribution to PNAS, Penner et al. (1) used a climate model to estimate the radiative forcing by the aerosol first indirect effect (cloud albedo effect) in two different ways: first, by deriving a statistical relationship between the logarithm of cloud droplet number concentration, ln Nc, and the logarithm of aerosol optical depth, ln AOD (or the logarithm of the aerosol index, ln AI) for present-day and preindustrial aerosol fields, a method that was applied earlier to satellite data (2), and, second, by computing the radiative flux perturbation between two simulations with and with

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Quaas, Johannes, Olivier Boucher, Nicolas Bellouin, and Stefan Kinne. "Which of satellite- or model-based estimates is closer to reality for aerosol indirect forcing?" National Acadamy of Sciences, 2011. https://ul.qucosa.de/id/qucosa%3A13972.

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In their contribution to PNAS, Penner et al. (1) used a climate model to estimate the radiative forcing by the aerosol first indirect effect (cloud albedo effect) in two different ways: first, by deriving a statistical relationship between the logarithm of cloud droplet number concentration, ln Nc, and the logarithm of aerosol optical depth, ln AOD (or the logarithm of the aerosol index, ln AI) for present-day and preindustrial aerosol fields, a method that was applied earlier to satellite data (2), and, second, by computing the radiative flux perturbation between two simulations with and with

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13

Blinn, Christine Elizabeth. "Increasing the Precision of Forest Area Estimates through Improved Sampling for Nearest Neighbor Satellite Image Classification." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/28694.

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The impacts of training data sample size and sampling method on the accuracy of forest/nonforest classifications of three mosaicked Landsat ETM+ images with the nearest neighbor decision rule were explored. Large training data pools of single pixels were used in simulations to create samples with three sampling methods (random, stratified random, and systematic) and eight sample sizes (25, 50, 75, 100, 200, 300, 400, and 500). Two forest area estimation techniques were used to estimate the proportion of forest in each image and to calculate forest area precision estimates. Training data edi

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14

Roy, Tirthankar, Hoshin V. Gupta, Aleix Serrat-Capdevila, and Juan B. Valdes. "Using satellite-based evapotranspiration estimates to improve the structure of a simple conceptual rainfall–runoff model." COPERNICUS GESELLSCHAFT MBH, 2017. http://hdl.handle.net/10150/623239.

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Daily, quasi-global (50° N–S and 180° W–E), satellite-based estimates of actual evapotranspiration at 0.25° spatial resolution have recently become available, generated by the Global Land Evaporation Amsterdam Model (GLEAM). We investigate the use of these data to improve the performance of a simple lumped catchment-scale hydrologic model driven by satellite-based precipitation estimates to generate streamflow simulations for a poorly gauged basin in Africa. In one approach, we use GLEAM to constrain the evapotranspiration estimates generated by the model, thereby modifying daily water balance

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SHRESTHA, Mandira Singh. "Bias-Adjustment of Satellite-Based Rainfall Estimates over the Central Himalayas of Nepal for Flood Prediction." 京都大学 (Kyoto University), 2011. http://hdl.handle.net/2433/142254.

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16

Claggett, Seton Paul. "Evaluation of the Utility of Satellite Rainfall Estimates for Water Resource Applications using Sub-Basin Areal Averages and Pixel-to-Pixel Comparisons." Thesis, The University of Arizona, 2001. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_etd_hy0020_m_sip1_w.pdf&type=application/pdf.

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17

Greatrex, Helen. "The application of seasonal rainfall forecasts and satellite rainfall estimates to seasonal crop yield forcasting for Africa." Thesis, University of Reading, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578012.

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Rain-fed agriculture is extremely important in sub-Saharan Africa, thus the ability to forecast and monitor regional crop yields throughout the growing season would be of enormous benefit to decision makers. Of equal importance to be able to assign a measure of uncertainty to the forecast, especially considering that many predictions are made in the context of a complex climate and sparse meteorological and agricultural observations. This work investigates these issues in the context of an operational updating regional crop yield forecast, concentrating in particular on a case study forecastin

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18

Yilmaz, Koray Kamil. "Towards Improved Modeling for Hydrologic Predictions in Poorly Gauged Basins." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195252.

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In most regions of the world, and particularly in developing countries, the possibility and reliability of hydrologic predictions is severely limited, because conventional measurement networks (e.g. rain and stream gauges) are either nonexistent or sparsely located. This study, therefore, investigates various systems methods and newly available data acquisition techniques to evaluate their potential for improving hydrologic predictions in poorly gaged and ungaged watersheds.Part One of this study explores the utility of satellite-remote-sensing-based rainfall estimates for watershed-scale hydr

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19

Potgieter, Andries B. "Determining broadacre crop area estimates through the use of multi-temporal modis satellite imagery for major Australian winter crops." University of Southern Queensland, Faculty of Engineering and Surveying, 2009. http://eprints.usq.edu.au/archive/00006613/.

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[Abstract]: Since early settlement, agriculture has been one of the main industries contributing to the livelihoods of most rural communities in Australia. The wheat grain industry is Australia’s second largest agricultural export commodity, with an average value of $3.5 billion per annum. Climate variability and change, higher input costs, and world commodity markets have put increased pressure on the sustainability of the grain industry. This has lead to an increasing demand for accurate, objective and near real-time crop production information by industry. To generate such production estima

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20

Bisht, Gautam. "Satellite-based estimates of net radiation and modeling the role of topography and vegetation on inter-annual hydro-climatology." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60706.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 229-260).<br>The Fourth Assessment Report of the Intergovernmental Panel on Climate Change acknowledged that the lack of relevant observations in various regions of the world is a crucial gap in understanding and modeling impacts of climate

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21

Kandasamy, Sivasathivel. "Leaf Area Index (LAI) monitoring at global scale : improved definition, continuity and consistency of LAI estimates from kilometric satellite observations." Phd thesis, Université d'Avignon, 2013. http://tel.archives-ouvertes.fr/tel-00967319.

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Monitoring biophysical variables at a global scale over long time periods is vital to address the climatechange and food security challenges. Leaf Area Index (LAI) is a structure variable giving a measure of the canopysurface for radiation interception and canopy-atmosphere interactions. LAI is an important variable in manyecosystem models and it has been recognized as an Essential Climate Variable. This thesis aims to provide globaland continuous estimates of LAI from satellite observations in near-real time according to user requirements to beused for diagnostic and prognostic evaluations of

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22

Willis, Josh K. "Combining satellite and in situ data to make improved estimates of upper-ocean thermal variability on eddy to global scales /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3137208.

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23

Patel, Ekta, Gurtina Besla, and Kaisey Mandel. "Orbits of massive satellite galaxies - II. Bayesian estimates of the Milky Way and Andromeda masses using high-precision astrometry and cosmological simulations." OXFORD UNIV PRESS, 2017. http://hdl.handle.net/10150/624428.

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In the era of high-precision astrometry, space observatories like the Hubble Space Telescope (HST) and Gaia are providing unprecedented 6D phase-space information of satellite galaxies. Such measurements can shed light on the structure and assembly history of the Local Group, but improved statistical methods are needed to use them efficiently. Here we illustrate such a method using analogues of the Local Group's two most massive satellite galaxies, the Large Magellanic Cloud (LMC) and Triangulum (M33), from the Illustris dark-matter-only cosmological simulation. We use a Bayesian inference sch

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24

Vishwakarma, Bramha Dutt [Verfasser], and Nico [Akademischer Betreuer] Sneeuw. "Understanding and repairing the signal damage due to filtering of mass change estimates from the GRACE satellite mission / Bramha Dutt Vishwakarma ; Betreuer: Nico Sneeuw." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2017. http://d-nb.info/1138234877/34.

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25

Ye, Yufang [Verfasser], Justus [Akademischer Betreuer] [Gutachter] Notholt, and Thomas [Gutachter] Jung. "Correcting Multiyear Sea Ice Concentration Estimates from Microwave Satellite Observations with Air Temperature, Sea Ice Drift and Dynamic Tie Points / Yufang Ye. Betreuer: Justus Notholt. Gutachter: Justus Notholt ; Thomas Jung." Bremen : Staats- und Universitätsbibliothek Bremen, 2016. http://d-nb.info/1107458366/34.

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26

Cassé, Claire. "Impact du forçage pluviométrique sur les inondations du fleuve Niger à Niamey : Etude à partir de données satellitaires et in-situ." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30236/document.

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Depuis le développement des mesures satellites de nombreuses missions spatiales sont dédiées au suivi de l'atmosphère et de la surface terrestre. Ces travaux de thèse s'inscrivent dans le cadre de la mission Megha-Tropiques dédiée au cycle de l'eau et de l'énergie en zone tropicale. L'objectif est d'évaluer le potentiel des estimations de précipitation par satellite pour des applications hydrologiques en zone tropicale. Les Tropiques réunissent les plus grands fleuves du globe, mais ne bénéficient pas de réseaux d'observation in-situ denses et continus permettant une gestion intégrée efficace

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27

Ouhechou, Amine. "Analyse de la variabilité multi-échelles du rayonnement solaire incident sur la façade atlantique de l'Afrique Centrale : observations in-situ, estimations satellitaires, et simulations climatiques CMIP6." Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALU007.

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L'Afrique centrale occidentale abrite les forêts les plus denses du bassin du Congo, deuxième plus grand massif forestier tropical après l’Amazonie. Elle se caractérise par un climat équatorial avec des températures élevées, un régime pluviométrique bimodal et surtout une longue saison sèche nuageuse, de juin à septembre. Malgré son importance écologique, la variabilité climatique de cette région a été peu étudiée par rapport à d'autres régions du continent africain, principalement en raison de la rareté des observations in-situ.Reconnaissant ces défis posés par le manque de données in situ, c

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Stubblefield, Cedrick L. "Microwave estimates of the extratropical transitions process." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FStubblefield.pdf.

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29

Frost, Edmond M. "Global scale estimates of aerosol particle characteristics." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23245.

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Approved for public release; distribution is unlimited<br>NOAA-7 AVHRR data from April 1982 and 1983 were used to perform a global scale analysis of aerosol particle characteristics. Several improvements were incorporated into an AVHRR multichannel satellite data technique developed by Pfeil (1986). This included better cloud and sunglint discrimination, removal of Rayleigh radiance and accounting for ozone absorption. The characteristics analyzed were optical depth and Aerosol Particle Size Index (S₁₂). S₁₂ provides the slope of the aerosol particle size distribution curve. Both of these

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30

Saw, Bun Liong. "Infrared and passive microwave satellite rainfall estimate over tropics." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4267.

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Thesis (M.S.)--University of Missouri-Columbia, 2005.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (December 19, 2006) Includes bibliographical references.

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Ma, Xiaoyan, Fangqun Yu, and Johannes Quaas. "Reassessment of satellite-based estimate of aerosol climate forcing." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177222.

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Large uncertainties exist in estimations of aerosol direct radiative forcing and indirect radiative forcing, and the values derived from globalmodeling differ substantially with satellite-based calculations. Following the approach of Quaas et al. (2008; hereafter named Quaas2008),we reassess satellite-based clear- and cloudy-sky radiative forcings and their seasonal variations by employing updated satellite products from 2004 to 2011 in combination with the anthropogenic aerosol optical depth (AOD) fraction obtained frommodel simulations using the Goddard Earth Observing System-Chemistry-Advan

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Ma, Xiaoyan, Fangqun Yu, and Johannes Quaas. "Reassessment of satellite-based estimate of aerosol climate forcing." Wiley, 2014. https://ul.qucosa.de/id/qucosa%3A13449.

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Large uncertainties exist in estimations of aerosol direct radiative forcing and indirect radiative forcing, and the values derived from globalmodeling differ substantially with satellite-based calculations. Following the approach of Quaas et al. (2008; hereafter named Quaas2008),we reassess satellite-based clear- and cloudy-sky radiative forcings and their seasonal variations by employing updated satellite products from 2004 to 2011 in combination with the anthropogenic aerosol optical depth (AOD) fraction obtained frommodel simulations using the Goddard Earth Observing System-Chemistry-Advan

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MILANI, Lisa. "Multi-sensor Satellite Precipitation Estimate for Hydrogeological Hazard Mitigation." Doctoral thesis, Università degli studi di Ferrara, 2012. http://hdl.handle.net/11392/2388795.

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High-impact meteorological events have in the last decade received increasing interest and considerable efforts are constantly undertaken to mitigate their effects on human activities and environment. Several projects addressing different aspects of the risk mitigation strategy have been financed in Europe, and PROSA (Prodotti di Osservazione Satellitare per l'Allerta Meteorologica - Satellite products for meteorological alert), funded by the Italian Space Agency (ASI), represents the Italian attempt to solve the meteorological side of the hazard mitigation scheme. It is devoted to desig

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Joetzjer, E., M. Pillet, P. Ciais, et al. "Assimilating satellite-based canopy height within an ecosystem model to estimate aboveground forest biomass." AMER GEOPHYSICAL UNION, 2017. http://hdl.handle.net/10150/625358.

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Despite advances in Earth observation and modeling, estimating tropical biomass remains a challenge. Recent work suggests that integrating satellite measurements of canopy height within ecosystem models is a promising approach to infer biomass. We tested the feasibility of this approach to retrieve aboveground biomass (AGB) at three tropical forest sites by assimilating remotely sensed canopy height derived from a texture analysis algorithm applied to the high-resolution Pleiades imager in the Organizing Carbon and Hydrology in Dynamic Ecosystems Canopy (ORCHIDEE-CAN) ecosystem model. While me

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Quaas, Johannes, Olivier Boucher, Nicolas Bellouin, and Stefan Kinne. "Satellite-based estimate of the direct and indirect aerosol climate forcing." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177289.

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The main uncertainty in anthropogenic forcing of the Earth’s climate stems from pollution aerosols, particularly their ‘‘indirect effect’’ whereby aerosols modify cloud properties. We develop a new methodology to derive a measurement-based estimate using almost exclusively information from an Earth radiation budget instrument (CERES) and a radiometer (MODIS). We derive a statistical relationship between planetary albedo and cloud properties, and, further, between the cloud properties and column aerosol concentration. Combining these relationships with a data set of satellite-derived anthropoge

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Quaas, Johannes, Olivier Boucher, Nicolas Bellouin, and Stefan Kinne. "Satellite-based estimate of the direct and indirect aerosol climate forcing." Wiley, 2008. https://ul.qucosa.de/id/qucosa%3A13453.

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The main uncertainty in anthropogenic forcing of the Earth’s climate stems from pollution aerosols, particularly their ‘‘indirect effect’’ whereby aerosols modify cloud properties. We develop a new methodology to derive a measurement-based estimate using almost exclusively information from an Earth radiation budget instrument (CERES) and a radiometer (MODIS). We derive a statistical relationship between planetary albedo and cloud properties, and, further, between the cloud properties and column aerosol concentration. Combining these relationships with a data set of satellite-derived anthropoge

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Ren, Weili. "A control-centralised multiaccess protocol exploiting non-selective fading for LEO satellite communications." Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/892/.

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Evans, Jessica. "Use of satellite imagery to estimate global mortality attributable to fine particulate air pollution." Thesis, University of Ottawa (Canada), 2010. http://hdl.handle.net/10393/28774.

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Background: Studies assessing the effects of air pollution on health have traditionally relied upon ground-monitoring stations to measure ambient concentrations. Use of satellite derived air pollution measures poses the advantage of providing global coverage. Objective: To undertake a global assessment of mortality associated with chronic exposure to fine particulate air pollution using remote sensory data. Methods: Global PM2.5 exposure levels were derived from MODIS and MISR satellite instruments. Relative risks and attributable fractions of mortality were modelled using previously developed

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Lang, Andreas. "Adaptive channel estimators suitable for implementation in coherent digital receivers operating in a mobile satellite environment." Thesis, Edinburgh Napier University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286200.

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Kuratomi, Alejandro. "GNSS Position Error Estimated by Machine Learning Techniques with Environmental Information Input." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262692.

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In Intelligent Transport Systems (ITS), specifically in autonomous driving operations, accurate vehicle localization is essential for safe operations. The localization accuracy depends on both position and positioning error estimates. Technologies aiming to improve positioning error estimation are required and are currently being researched. This project has investigated machine learning algorithms applied to positioning error estimation by assessing relevant information obtained from a GNSS receiver and adding environmental information coming from a camera mounted on a radio controlled vehic

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Vitalich, John. "Design and simulation of a three-axis stabilized satellite and Kalman filter rate estimator." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FVitalich.pdf.

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Lamichhane, Gaurav Raj. "STATISTICAL ASSESSMENT OF PERFORMANCE OF INTEGRATED MULTI-SATELLITE RETRIEVALS FOR GPM (IMERG) TO ESTIMATE MONTHLY PRECIPITATION." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2559.

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It is evident that reliable hydrologic prediction and water resource management are still a challenge for water resource engineers and planners, due to the unavailability of good network of hydro-meteorological stations. Especially, the situation of observation stations is not improving in developing countries. Ubiquity of satellite-based precipitation products has availed hydrologic studies in ungaged regions; however, assessment of satellite estimates is consequential before using it for hydrological utilities. Moreover, assessment of satellite precipitation products is important for the bet

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Spata, Alessandro. "SISTEM: a new method to integrate geodetic and satellite data to estimate 3D ground deformation maps." Thesis, Universita' degli Studi di Catania, 2011. http://hdl.handle.net/10761/376.

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We propose a new technique, based on the elastic theory, to efficiently produce an estimate of three-dimensional surface displacement maps by integrating sparse Global Positioning System (GPS) measurements of deformations and Differential Interferometric Synthetic Aperture Radar (DInSAR) maps of movements of the EarthÃ Ã Ã Ã Ã Â¢ s surface. Previous approaches known in literature to combine GPS and DInSAR data require two steps: a first step in which sparse GPS measurements are interpolated in order to fill in GPS displacements in the DInSAR grid, and a second step to estimate the

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Dorij, Passang. "Satellite Remote Sensing Algorithm Development to Estimate Total Suspended Sediment Concentration for Highly Turbid Waters of Western Australia." Thesis, Curtin University, 2017. http://hdl.handle.net/20.500.11937/55102.

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Satellite-based remote sensing of total suspended sediment (TSS) concentration is studied for highly turbid waters of northern Western Australia. A robust multi-sensor red band semi-analytic sediment model was developed for coastal waters, and the implications of using a wide range of sensors with different spatial resolutions were also explored. In addition, historical TSS models were critically compared, and the feasibility of the geostationary satellite sensor AHI was also explored with respect to mapping TSS.

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Côté, Jimmy. "Application des estimateurs de type Unscented pour l'estimation des états, des perturbations et des paramètres d'un satellite." Mémoire, Université de Sherbrooke, 2007. http://savoirs.usherbrooke.ca/handle/11143/1352.

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À l'ère de l'exploration spatiale et de l'étude de la Terre à partir de l'espace, il est encore surprenant de voir à quel point la conception de satellites est exigeante. Le développement de logiciels autonomes permettra de réduire considérablement le coût des missions spatiales et d'augmenter leurs chances de réussite. Avec ces logiciels autonomes, il sera possible de déterminer les états de l'orbite et de l'orientation d'un satellite à l'aide de filtres optimaux, tel que ceux de Kalman. Entre autres filtres, le filtre de Kalman étendu, (référé avec le sigle EKF pour sa version anglaise dite

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Côté, Jimmy. "Application des estimateurs de type Unscented pour l'estimation des états, des perturbations et des paramètres d'un satellite." [S.l. : s.n.], 2007.

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Wu, Ya-Lin, and Patrick D. Sheehan. "An ALMA Dynamical Mass Estimate of the Proposed Planetary-mass Companion FW Tau C." IOP PUBLISHING LTD, 2017. http://hdl.handle.net/10150/625808.

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Dynamical mass estimates down to the planet-mass regime can help to understand planet formation. We present Atacama Large Millimeter/submillimeter Array (ALMA) 1.3 mm observations of FW Tau C, a proposed similar to 10M(Jup) planet-mass companion at similar to 330 au from the host binary FW Tau AB. We spatially and spectrally resolve the accretion disk of FWTau C in (CO)-C-12 (2-1). By modeling the Keplerian rotation of gas, we derive a dynamical mass of similar to 0.1 M-circle dot. Therefore, FW Tau C is unlikely a planet, but rather a low-mass star with a highly inclined disk. This also sugge

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Kerstetter, David. "Use of Pop-Up Satellite Tag Technology to Estimate Survival of Blue Marlin (Makaira nigricans) Released from Pelagic Longline Gear." W&M ScholarWorks, 2001. https://scholarworks.wm.edu/etd/1539617772.

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Weideman, Craig Ivan. "Linking satellite and point micrometeorological data to estimate : distributed evapotranspiration modelling based on MODIS LAI, Penman-Monteith and functional convergence theory." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1012078.

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Recent advances in satellite sensor technology and micrometeorological instrumentation for water flux measurement, coupled with the expansion of automatic weather station networks that provide routine measurements of near-surface climate variables, present new opportunities for combining satellite and ground-based instrumentation to obtain distributed estimates of vegetation water use over wide areas in South Africa. In this study, a novel approach is tested, which uses satellite leaf area index (LAI) data retrieved by the Moderate Resolution Imaging Spectroradiometer (MODIS) to inform the FAO

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Yoon, Yeosang. "Evaluation of the potential to estimate river discharge using measurements from the upcoming SWOT mission." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376480417.

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