Literatura académica sobre el tema "Microwave Satellite Soil Moisture"
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Artículos de revistas sobre el tema "Microwave Satellite Soil Moisture"
Lei, X., Y. Wang y T. Guo. "DOWNSCALING OF SMAP SOIL MOISTURE PRODUCT BY DATA FUSION WITH VIIRS LST/EVI PRODUCT". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W5-2021 (23 de diciembre de 2021): 355–60. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w5-2021-355-2021.
Texto completoLiu, Y. Y., R. M. Parinussa, W. A. Dorigo, R. A. M. de Jeu, W. Wagner, A. I. J. M. van Dijk, M. F. McCabe y J. P. Evans. "Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals". Hydrology and Earth System Sciences Discussions 7, n.º 5 (2 de septiembre de 2010): 6699–724. http://dx.doi.org/10.5194/hessd-7-6699-2010.
Texto completoLiu, Y. Y., R. M. Parinussa, W. A. Dorigo, R. A. M. De Jeu, W. Wagner, A. I. J. M. van Dijk, M. F. McCabe y J. P. Evans. "Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals". Hydrology and Earth System Sciences 15, n.º 2 (1 de febrero de 2011): 425–36. http://dx.doi.org/10.5194/hess-15-425-2011.
Texto completoRabin, Robert M. y Timothy J. Schmit. "Estimating Soil Wetness from the GOES Sounder". Journal of Atmospheric and Oceanic Technology 23, n.º 7 (1 de julio de 2006): 991–1003. http://dx.doi.org/10.1175/jtech1895.1.
Texto completoZhu, Hongchun, Zhilin Zhang y Aifeng Lv. "Evaluation of Satellite-Derived Soil Moisture in Qinghai Province Based on Triple Collocation". Water 12, n.º 5 (2 de mayo de 2020): 1292. http://dx.doi.org/10.3390/w12051292.
Texto completoBarrett, Damian J. y Luigi J. Renzullo. "On the Efficacy of Combining Thermal and Microwave Satellite Data as Observational Constraints for Root-Zone Soil Moisture Estimation". Journal of Hydrometeorology 10, n.º 5 (1 de octubre de 2009): 1109–27. http://dx.doi.org/10.1175/2009jhm1043.1.
Texto completoYang, Kun, Toshio Koike, Ichirow Kaihotsu y Jun Qin. "Validation of a Dual-Pass Microwave Land Data Assimilation System for Estimating Surface Soil Moisture in Semiarid Regions". Journal of Hydrometeorology 10, n.º 3 (1 de junio de 2009): 780–93. http://dx.doi.org/10.1175/2008jhm1065.1.
Texto completoWang, Guojie, Xiaowen Ma, Daniel Fiifi Tawia Hagan, Robin van der Schalie, Giri Kattel, Waheed Ullah, Liangliang Tao, Lijuan Miao y Yi Liu. "Towards Consistent Soil Moisture Records from China’s FengYun-3 Microwave Observations". Remote Sensing 14, n.º 5 (2 de marzo de 2022): 1225. http://dx.doi.org/10.3390/rs14051225.
Texto completoMavrovic, Alex, Renato Pardo Lara, Aaron Berg, François Demontoux, Alain Royer y Alexandre Roy. "Soil dielectric characterization during freeze–thaw transitions using L-band coaxial and soil moisture probes". Hydrology and Earth System Sciences 25, n.º 3 (4 de marzo de 2021): 1117–31. http://dx.doi.org/10.5194/hess-25-1117-2021.
Texto completoZhu, Liming, Huifeng Wu, Min Li, Chaoyin Dou y A.-Xing Zhu. "Estimation of Irrigation Water Use by Using Irrigation Signals from SMAP Soil Moisture Data". Agriculture 13, n.º 9 (29 de agosto de 2023): 1709. http://dx.doi.org/10.3390/agriculture13091709.
Texto completoTesis sobre el tema "Microwave Satellite Soil Moisture"
Piles, Guillem Maria. "Multiscale soil moisture retrievals from microwave remote sensing observations". Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/77910.
Texto completoSoil moisture is a key state variable of the Earth's system; it is the main variable that links the Earth's water, energy and carbon cycles. Accurate observations of the Earth's changing soil moisture are needed to achieve sustainable land and water management, and to enhance weather and climate forecasting skill, flood prediction and drought monitoring. This Thesis focuses on measuring the Earth's surface soil moisture from space at global and regional scales. Theoretical and experimental studies have proven that L-band passive remote sensing is optimal for soil moisture sensing due to its all-weather capabilities and the direct relationship between soil emissivity and soil water content under most vegetation covers. However, achieving a temporal and spatial resolution that could satisfy land applications has been a challenge to passive microwave remote sensing in the last decades, since real aperture radiometers would need a large rotating antenna, which is difficult to implement on a spacecraft. Currently, there are three main approaches to solving this problem: (i) the use of an L-band synthetic aperture radiometer, which is the solution implemented in the ESA Soil Moisture and Ocean Salinity (SMOS) mission, launched in November 2009; (ii) the use of a large lightweight radiometer and a radar operating at L-band, which is the solution adopted by the NASA Soil Moisture Active Passive (SMAP) mission, scheduled for launch in 2014; (iii) the development of pixel disaggregation techniques that could enhance the spatial resolution of the radiometric observations. The first part of this work focuses on the analysis of the SMOS soil moisture inversion algorithm, which is crucial to retrieve accurate soil moisture estimations from SMOS measurements. Different retrieval configurations have been examined using simulated SMOS data, considering (i) the option of adding a priori information from parameters dominating the land emission at L-band —soil moisture, roughness, and temperature, vegetation albedo and opacity— with different associated uncertainties and (ii) the use of vertical and horizontal polarizations separately, or the first Stokes parameter. An optimal retrieval configuration for SMOS is suggested. The spatial resolution of SMOS and SMAP radiometers (~ 40-50 km) is adequate for global applications, but is a limiting factor to its application in regional studies, where a resolution of 1-10 km is needed. The second part of this Thesis contains three novel downscaling approaches for SMOS and SMAP: • A deconvolution scheme for the improvement of the spatial resolution of SMOS observations has been developed, and results of its application to simulated SMOS data and airborne field experimental data show that it is feasible to improve the product of the spatial resolution and the radiometric sensitivity of the observations by 49% over land pixels and by 30% over sea pixels. • A downscaling algorithm for improving the spatial resolution of SMOS-derived soil moisture estimates using higher resolution MODIS visible/infrared data is presented. Results of its application to some of the first SMOS images show the spatial variability of SMOS-derived soil moisture observations is effectively captured at the spatial resolutions of 32, 16, and 8 km. • A change detection approach for combining SMAP radar and radiometer observations into a 10 km soil moisture product has been developed and validated using SMAP-like observations and airborne field experimental data. This work has been developed within the preparatory activities of SMOS and SMAP, the two first-ever satellites dedicated to monitoring the temporal and spatial variation on the Earth's soil moisture. The results presented contribute to get the most out of these vital observations, that will further our understanding of the Earth's water cycle, and will lead to a better water resources management.
Dall'Amico, Johanna Therese. "Multiscale analysis of soil moisture using satellite and aircraft microwave remote sensing, in situ measurements and numerical modelling". Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-146263.
Texto completoDall'Amico, Johanna Therese [Verfasser] y Wolfram [Akademischer Betreuer] Mauser. "Multiscale analysis of soil moisture using satellite and aircraft microwave remote sensing, in situ measurements and numerical modelling / Johanna Therese dall'Amico. Betreuer: Wolfram Mauser". München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2012. http://d-nb.info/1025047079/34.
Texto completoWalden, Aleksi. "SMOS satellite hardware anomaly prediction methods based on Earth radiation environment data sets". Thesis, Luleå tekniska universitet, Rymdteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59789.
Texto completoKolassa, Jana. "Soil moisture retrieval from multi-instrument satellite observations". Paris 6, 2013. http://www.theses.fr/2013PA066392.
Texto completoIn this thesis, a neural network based retrieval algorithm has been developed to compute surface soil moisture from a combination of microwave, infrared and visible satellite obser- vations. A global estimate of monthly mean soil moisture values has been computed for the period 1993-2000 and is provided on an equal-area grid with an equatorial resolution of 0. 25◦. This soil moisture estimate has been evaluated against modelled, remotely sensed and in situ observations and was found to perform well on different spatial and temporal scales. An information content showed that each of the various satellite observations con- tributes information about a different soil moisture variation, with the active microwave data being more sensitive to the temporal evolution and the thermal infrared data better capturing the spatial patterns. Furthermore, a synergy analysis revealed that the combina- tion of all observations permits a reduction of the retrieval uncertainty by more than 18% and that the neural network methodology optimally exploits the synergy of observations compared to other approaches. A joint analysis of various remotely sensed datasets of ter- restrial water cycle components demonstrated the coherence of the retrieved soil moisture with other retrieval products and with global hydrological processes. This underlined its potential to be used for observation-based studies of the terrestrial water cycle. Finally, it has been shown that the proposed neural network methodology also provides an effective tool to evaluate Earth System Models on both a variable and a process basis
Soriano, Melissa. "Estimation of soil moisture in the southern united states in 2003 using multi-satellite remote sensing measurements". Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3361.
Texto completoVita: p. 65. Thesis director: John Qu. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Earth System Science. Title from PDF t.p. (viewed Jan. 11, 2009). Includes bibliographical references (p. 59-64). Also issued in print.
Manchikanti, Ujwala. "Evaluation of microwave sensor for soil moisture content determination". [Ames, Iowa : Iowa State University], 2007.
Buscar texto completoRamnath, Vinod. "Estimation of soil moisture using active microwave remote sensing". Master's thesis, Mississippi State : Mississippi State University, 2003.
Buscar texto completoDas, Narendra N. "Soil moisture modeling and scaling using passive microwave remote sensing". Texas A&M University, 2005. http://hdl.handle.net/1969.1/4881.
Texto completoBaban, Serwan M. J. "The derivations of hydrological variables (including soil moisture) from satellite imagery". Thesis, University of East Anglia, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292298.
Texto completoLibros sobre el tema "Microwave Satellite Soil Moisture"
Center, Langley Research, ed. A conceptual thermal design study of an electronically scanned thinned array radiometer. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.
Buscar texto completoBehari, Jitendra. Microwave dielectric behavior of wet soils. New York: Springer, 2005.
Buscar texto completoMicrowave radiometry of vegetation canopies. Dordrecht: Springer, 2006.
Buscar texto completoDąbrowska-Zielińska, Katarzyna. Szacowanie ewapotranspiracji wilgotności gleb i masy zielonej łąk na podstawie zdjęć satelitarnych NOAA =: Assessment of evapotranspiration, soil moisture and green biomass of grassland using NOAA satellite images. Wrocław: Wydawn. Continuo, 1995.
Buscar texto completoH, Staelin David y United States. National Aeronautics and Space Administration., eds. Comparative analysis of alternate MHS configurations. [Washington, D.C: National Aeronautics and Space Administration, 1995.
Buscar texto completoH, Staelin David y United States. National Aeronautics and Space Administration., eds. Comparative analysis of alternate MHS configurations. [Washington, D.C: National Aeronautics and Space Administration, 1995.
Buscar texto completoH, Staelin David y United States. National Aeronautics and Space Administration., eds. Comparative analysis of alternate MHS configurations. [Washington, D.C: National Aeronautics and Space Administration, 1995.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. An investigation of satellite sounding products for the remote sensing of the surface energy balance and soil moisture. Madison, WI: Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, University of Wisconsin-Madison, 1990.
Buscar texto completoFöldes, Péter. A design study for the use of a multiple aperture deployable antenna for soil moisture remote senisng satellite applications. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.
Buscar texto completoCenter, Langley Research, ed. A design study for the use of a multiple aperture deployable antenna for soil moisture remote sensing satellite applications. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.
Buscar texto completoCapítulos de libros sobre el tema "Microwave Satellite Soil Moisture"
Kuenzer, Claudia, Ursula Gessner y Wolfgang Wagner. "Soil Moisture from Thermal Infrared Satellite Data: Synergies with Microwave Data". En Thermal Infrared Remote Sensing, 315–30. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6639-6_16.
Texto completoBurke, Eleanor J., R. Chawn Harlow y W. James Shuttleworth. "Using Coupled Land Surface and Microwave Emission Models to Address Issues in Satellite-Based Estimates of Soil Moisture". En Spatial Modelling of the Terrestrial Environment, 59–77. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470094001.ch4.
Texto completoFung, Adrian K. "Microwave Remote Sensing of Soil Moisture". En From Laboratory Spectroscopy to Remotely Sensed Spectra of Terrestrial Ecosystems, 21–59. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-1620-8_2.
Texto completoVarotsos, Costas A. y Vladimir F. Krapivin. "Microwave Remote Sensing of Soil Moisture". En Microwave Remote Sensing Tools in Environmental Science, 121–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45767-9_4.
Texto completoSchmugge, Thomas. "Microwave Remote Sensing of Soil Moisture". En Applications of Remote Sensing to Agrometeorology, 257–84. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2235-8_11.
Texto completoSchmugge, Thomas y Thomas Jackson. "Passive Microwave Remote Sensing of Soil Moisture". En Land Surface Processes in Hydrology, 239–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60567-3_14.
Texto completoCiabatta, Luca, Stefania Camici, Christian Massari, Paolo Filippucci, Sebastian Hahn, Wolfgang Wagner y Luca Brocca. "Soil Moisture and Precipitation: The SM2RAIN Algorithm for Rainfall Retrieval from Satellite Soil Moisture". En Advances in Global Change Research, 1013–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35798-6_27.
Texto completoK., Anush Kumar, Raj Setia, Dharmendra Kumar Pandey, Deepak Putrevu, Arundhati Misra y Brijendra Pateriya. "Soil Moisture Retrieval Techniques Using Satellite Remote Sensing". En Geospatial Technologies for Crops and Soils, 357–85. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6864-0_10.
Texto completoShi, Jiancheng, Tianjie Zhao, Qian Cui y Panpan Yao. "Airborne and Spaceborne Passive Microwave Measurements of Soil Moisture". En Observation and Measurement of Ecohydrological Processes, 71–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-48297-1_3.
Texto completoArya, K. V. y Suggula Jagadeesh. "Time Series Forecasting of Soil Moisture Using Satellite Images". En Communications in Computer and Information Science, 385–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07005-1_33.
Texto completoActas de conferencias sobre el tema "Microwave Satellite Soil Moisture"
Mattikalli, Nandish M., Edwin T. Engman, Laj Ahuja y Thomas J. Jackson. "Estimating soil properties from microwave measurements of soil moisture". En Satellite Remote Sensing II, editado por Edwin T. Engman, Gerard Guyot y Carlo M. Marino. SPIE, 1995. http://dx.doi.org/10.1117/12.227172.
Texto completoTroch, Peter A., Zhongbo Su, P. Colombo y Federico De Masi. "Active microwave soil moisture sensing under vegetation cover". En Satellite Remote Sensing III, editado por Giovanna Cecchi, Guido D'Urso, Edwin T. Engman y Preben Gudmandsen. SPIE, 1997. http://dx.doi.org/10.1117/12.264257.
Texto completoSchmugge, Thomas J., Andre Chanzy, Yann H. Kerr y Peter van Oevelen. "Microwave radiometer observations of soil moisture in HAPEX-SAHEL". En Satellite Remote Sensing, editado por Eric Mougin, K. Jon Ranson y James A. Smith. SPIE, 1995. http://dx.doi.org/10.1117/12.200781.
Texto completoKulemin, Gennady P., Andrei A. Kurekin, Vladimir V. Lukin y Alexander A. Zelensky. "Soil moisture and erosion degree estimation from multichannel microwave remote sensing data". En Satellite Remote Sensing II, editado por Edwin T. Engman, Gerard Guyot y Carlo M. Marino. SPIE, 1995. http://dx.doi.org/10.1117/12.227178.
Texto completoHnatushenko, Volodymyr, Igor Garkusha y Volodymyr Vasyliev. "Creating soil moisture maps based on radar satellite imagery". En Active and Passive Microwave Remote Sensing for Environmental Monitoring, editado por Claudia Notarnicola, Nazzareno Pierdicca y Emanuele Santi. SPIE, 2017. http://dx.doi.org/10.1117/12.2278040.
Texto completoSanti, E., S. Paloscia, P. Pampaloni, S. Pettinato y M. Brogioni. "Retrieval of soil moisture with airborne and satellite microwave sensors". En 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5418252.
Texto completoOwe, Manfred, Thomas R. H. Holmes y Richard A. M. De Jeu. "Spatial distributions of global soil moisture retrievals from satellite microwave observations". En Remote Sensing, editado por Manfred Owe, Guido D'Urso, Ben T. Gouweleeuw y Anne M. Jochum. SPIE, 2004. http://dx.doi.org/10.1117/12.565257.
Texto completoOwe, Manfred, Adriaan A. Van de Griend, Richard A. de Jeu, Jorrit de Vries y E. Seyhan. "Satellite microwave estimates of soil moisture and applications for desertification studies". En Remote Sensing, editado por Edwin T. Engman. SPIE, 1998. http://dx.doi.org/10.1117/12.332765.
Texto completoEngman, Edwin T. "Development of long-wave microwave satellite systems for measuring soil moisture". En Remote Sensing, editado por Hiroyuki Fujisada. SPIE, 1998. http://dx.doi.org/10.1117/12.333668.
Texto completo"Error characterization of microwave satellite soil moisture data sets using Fourier analysis". En 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.l19.su.
Texto completoInformes sobre el tema "Microwave Satellite Soil Moisture"
Pradhan, Nawa Raj. Estimating growing-season root zone soil moisture from vegetation index-based evapotranspiration fraction and soil properties in the Northwest Mountain region, USA. Engineer Research and Development Center (U.S.), septiembre de 2021. http://dx.doi.org/10.21079/11681/42128.
Texto completoThoma, David. Landscape phenology, vegetation condition, and relations with climate at Canyonlands National Park, 2000–2019. Editado por Alice Wondrak Biel. National Park Service, junio de 2023. http://dx.doi.org/10.36967/2299619.
Texto completoThoma, David. Landscape phenology, vegetation condition, and relations with climate at Capitol Reef National Park, 2000–2019. Editado por Alice Wondrak Biel. National Park Service, marzo de 2023. http://dx.doi.org/10.36967/2297289.
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