Готові списки джерел за темами / Water Remote sensing

Зміст

  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Добірка наукової літератури з теми "Water Remote sensing"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 28 січня 2023

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Статті в журналах з теми "Water Remote sensing"

1

Moore, Gerald K. "Remote sensing in hydrology, remote sensing applications." Journal of Hydrology 131, no. 1-4 (February 1992): 388–89. http://dx.doi.org/10.1016/0022-1694(92)90228-n.

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2

KYO, Masanori. "Under water remote sensing." Journal of the Visualization Society of Japan 10, no. 37 (1990): 81–87. http://dx.doi.org/10.3154/jvs.10.81.

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3

Tang, Qiuhong, Huilin Gao, Hui Lu, and Dennis P. Lettenmaier. "Remote sensing: hydrology." Progress in Physical Geography: Earth and Environment 33, no. 4 (August 2009): 490–509. http://dx.doi.org/10.1177/0309133309346650.

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Satellite remote sensing is a viable source of observations of land surface hydrologic fluxes and state variables, particularly in regions where in situ networks are sparse. Over the last 10 years, the study of land surface hydrology using remote sensing techniques has advanced greatly with the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms. Most of the constituent variables in the land surface water balance (eg, precipitation, evapotranspiration, snow and ice, soil moisture, and terrestr
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4

Mayani, Kaushikkumar R., and V. M. Patel V. M. Patel. "Relevance of Remote Sensing and GIS in Water Resoureces Engineering." Indian Journal of Applied Research 1, no. 11 (October 1, 2011): 50–51. http://dx.doi.org/10.15373/2249555x/aug2012/17.

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5

Trochim, E. D., A. Prakash, D. L. Kane, and V. E. Romanovsky. "Remote sensing of water tracks." Earth and Space Science 3, no. 3 (March 2016): 106–22. http://dx.doi.org/10.1002/2015ea000112.

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6

Zhang, Yunlin, Claudia Giardino, and Linhai Li. "Water Optics and Water Colour Remote Sensing." Remote Sensing 9, no. 8 (August 9, 2017): 818. http://dx.doi.org/10.3390/rs9080818.

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7

Menenti, M., and G. J. A. Nieuwenhuis. "Remote sensing in the water management practice." Netherlands Journal of Agricultural Science 34, no. 3 (August 1, 1986): 317–28. http://dx.doi.org/10.18174/njas.v34i3.16785.

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In this examination of the use of remote sensing in water management 3 case studies are presented. The first concerned water management in the eastern Netherlands and remote sensing was used to provide evapotranspiration values. The description of the hydrological conditions was markedly improved by combining remote sensing and hydrological model calculations. A case study in Argentina using Greenness Vegetation Index showed how remote sensing can be used to give data on irrigated area and crop type. In the third case study, remote sensing was used to investigate groundwater losses in a desert
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8

He, Ping, Xueya Chen, Yuanxing Cai, Yue Zhou, and Yan Chen. "Research Progress of Remote Sensing Technology in Lake Water Environment Monitoring in China." International Journal of Engineering and Technology 14, no. 2 (May 2022): 15–18. http://dx.doi.org/10.7763/ijet.2022.v14.1195.

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This paper analyzes the research progress of remote sensing technology in lake water environment monitoring in China in recent years, including the research progress of suspended matter concentration in water, the research progress of bloom characteristics and the research status of chlorophyll concentration A.Although great progress has been made in lake water environment monitoring, the use of remote sensing to capture the spectral characteristics of water remains to be strengthened. It is necessary to improve the lake remote sensing algorithm for long time series and large range.
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9

Sriharsha, Mr K. V., and Dr N. V. Rao. "Water Management Using Remote Sensing Techniques." CVR Journal of Science & Technology 4, no. 1 (June 1, 2013): 87–92. http://dx.doi.org/10.32377/cvrjst0417.

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Mishra, Deepak, Eurico D’Sa, and Sachidananda Mishra. "Preface: Remote Sensing of Water Resources." Remote Sensing 8, no. 2 (February 4, 2016): 115. http://dx.doi.org/10.3390/rs8020115.

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Дисертації з теми "Water Remote sensing"

1

Moon, Alex. "Remote sensing of bathing water quality." Thesis, Middlesex University, 2003. http://eprints.mdx.ac.uk/13422/.

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The European Union (EU) has openly solicited advice on the development of EU bathing water quality policy and made calls for the development of remotely sensed operational real world solutions. This research demonstrates a new approach to estimating water quality using remote sensing and specifically to monitoring bathing water quality by using remote sensing to "flag" failing areas for manual survey. This method meets the environmental demands of the EU, the tourist industry, the water industry and environmental monitoring agencies throughout the world. The results show the genuine potential
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2

Qi, Jiaguo 1959. "Spectral properties of paddy rice with variable water depth." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277119.

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An experiment was conducted to determine whether the water depth (above soil) and soil type would have any influence on the multispectral reflectances of paddy rice, and their calculated vegetation index values. The results showed that, when vegetation cover was low (below 600 grams of dry biomass per square meter), the near infrared (NIR) reflectances decreased very little with water depth. The same was true for red reflectances, but to a lesser degree. Overall the changes were not significant at 0.05 level of significance when the water depth was increased from 2.5 centimeters to 10 centimet
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3

Taylor, Frances M. "Remote sensing of water leaks from rural aqueducts." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/27514.

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The development of techniques for the detection of water leaks from underground pipelines is seen as a high profile activity by water companies and regulators. This is due to increasing water demands and problems with current leak detection methods. In this thesis optical reflectance and microwave backscatter were used to identify optimal indices for detecting water leaks amongst a variety of different land cover types at different growth stages. Ground-based surveys and modelling techniques were used to establish optimal wavelengths for detection. Results from these studies suggested that in
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4

Beckett, Heath. "Remote sensing of water stress in fynbos vegetation." Bachelor's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/25902.

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I aim to determine whether or not remote sensing, through multispectral, satellite and digital photography, is a feasible and accurate method for determining drought stress in Fynbos vegetation. I hypothesize that (1) water stress in fynbos is detectable with the use of a remote sensing index, namely NDVI and (2) that the remotely sensed trends will correlate with ground truth measures of water stress.
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5

Drayton, Robert S. "The application of remote sensing to water resources." Thesis, Aston University, 1989. http://publications.aston.ac.uk/14269/.

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Анотація:
Techniques are developed for the visual interpretation of drainage features from satellite imagery. The process of interpretation is formalised by the introduction of objective criteria. Problems of assessing the accuracy of maps are recognized, and a method is developed for quantifying the correctness of an interpretation, in which the more important features are given an appropriate weight. A study was made of imagery from a variety of landscapes in Britain and overseas, from which maps of drainage networks were drawn. The accuracy of the mapping was assessed in absolute terms, and also in r
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6

Hunter, Peter D. "Remote sensing in shallow lake ecology." Thesis, University of Stirling, 2007. http://hdl.handle.net/1893/365.

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Анотація:
Shallow lakes are an important ecological and socio-economic resource. However, the impact of human pressures, both at the lake and catchment scale, has precipitated a decline in the ecological status of many shallow lakes, both in the UK, and throughout Europe. There is now, as direct consequence, unprecedented interest in the assessment and monitoring of ecological status and trajectory in shallow lakes, not least in response to the European Union Water Framework Directive (2000/60/EC). In this context, the spatially-resolving and panoramic data provided by remote sensing platforms may be of
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7

Beltrán-Abaunza, José M. "Remote sensing in optically complex waters : water quality assessment using MERIS data." Doctoral thesis, Stockholms universitet, Institutionen för ekologi, miljö och botanik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-123724.

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This PhD study focusses on the use of MEdium Resolution Imaging Spectrometer (MERIS) data for reliable and quantitative water-quality assessment of optically-complex waters (lake, brackish and coastal waters). The thesis is divided into two parts: A. intercalibration of reflectance measurements in different optically-complex water bodies (Paper I), and validation of various satellite processing algorithms for the coastal zone (Paper II). B. Applications: the use of MERIS data in integrated coastal zone management mostly using Himmerfjärden bay as an example. Himmerfjärden bay is one of the mos
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8

Ali, Khalid A. "PREDICTION OF WATER QUALITY PARAMETERS FROM VIS-NIR RADIOMETRY: USING LAKE ERIE AS A NATURAL LABORATORY FOR ANALYSIS OF CASE 2 WATERS." Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1309980508.

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9

Koukouli, Mary Elizabeth. "Remote sensing of water vapour in Venus' middle atmosphere." Thesis, University of Oxford, 2002. http://ora.ox.ac.uk/objects/uuid:60216894-5d24-431a-99f0-cc8b0709cb30.

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The Pioneer Venus Orbiter Infrared Radiometer and Venera 15 Fourier Transform Spectrometer observations of thermal emission from Venus' middle atmosphere between 10°S and 50°N were used to determine global maps of temperature, cloud optical depth and water vapour abundance. The spectral regions observed include the strong 15 μtm carbon dioxide band and the 45 μm fundamental rotational water band. The main aim of this thesis is to reconcile the water vapour abundance results from these two sets of observations reported in previous studies. New radiative transfer and retrieval models have been d
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El-Sheikha, Dial-Deen Mohamed. "Remote sensing of water and nitrogen stress in broccoli." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280349.

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Remote sensing is being used in agriculture for crop management. Ground based remote sensing data acquisition system was used for collection of high spatial and temporal resolution data for irrigated broccoli crop. The system was composed of a small cart that ran back and forth on a rail system that was mounted on a linear move irrigation system. The cart was equipped with a sensor that had 4 discrete wavelengths; 550 nm, 660 nm, 720 nm, and 810 nm, and an infrared thermometer, all had 10 nm bandwidth. A global positioning system was used to indicate the cart position. The study consisted of t
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Книги з теми "Water Remote sensing"

1

Cazenave, A., N. Champollion, J. Benveniste, and J. Chen, eds. Remote Sensing and Water Resources. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32449-4.

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2

Bagheri, Sima. Hyperspectral Remote Sensing of Nearshore Water Quality. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46949-2.

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Schultz, Gert A., and Edwin T. Engman, eds. Remote Sensing in Hydrology and Water Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59583-7.

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Lakshmi, Venkat, Douglas Alsdorf, Martha Anderson, Sylvain Biancamaria, Michael Cosh, Jared Entin, George Huffman, et al., eds. Remote Sensing of the Terrestrial Water Cycle. Hoboken, NJ: John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781118872086.

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Schultz, Gert A. Remote Sensing in Hydrology and Water Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000.

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6

Drayton, Robert Sutherland. The application of remote sensing to water resources. Birmingham: Aston University. Department of Civil Engineering, 1989.

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7

Huang He xia you he shi yao gan jian ce ji shu yan jiu: Remote sensing monitoring technology for river regime of Yellow river downstream. Beijing Shi: Zhongguo shui li shui dian chu ban she, 2012.

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8

Rango, Albert. Current operational applications of remote sensing in hydrology. Geneva, Switzerland: Secretariat of the World Meteorological Organization, 1999.

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9

Arst, Kh I︠U︡. Optical properties and remote sensing of multicomponental water bodies. Berlin: Springer, 2002.

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10

Optical properties and remote sensing of multicomponental water bodies. Berlin: Springer, 2003.

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Частини книг з теми "Water Remote sensing"

1

Maliva, Robert, and Thomas Missimer. "Remote Sensing." In Arid Lands Water Evaluation and Management, 435–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29104-3_18.

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2

Engman, E. T., and R. J. Gurney. "Water quality." In Remote Sensing in Hydrology, 175–92. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-009-0407-1_9.

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3

Oki, Taikan, and Pat J. F. Yeh. "Water Resources." In Encyclopedia of Remote Sensing, 903–9. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_193.

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4

Fetzer, Eric. "Water Vapor." In Encyclopedia of Remote Sensing, 909–11. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_194.

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5

Durand, Michael. "Surface Water." In Encyclopedia of Remote Sensing, 816–19. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_197.

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6

Shaban, Amin. "Fundamentals of Satellite Remote Sensing." In Springer Water, 1–14. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15549-9_1.

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Weng, Fuzhong. "Cloud Liquid Water." In Encyclopedia of Remote Sensing, 68–70. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_18.

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8

Oki, Taikan, and Pat J. F. Yeh. "Water and Energy Cycles." In Encyclopedia of Remote Sensing, 895–903. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_192.

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9

Engman, E. T., and R. J. Gurney. "Water resources management and monitoring." In Remote Sensing in Hydrology, 193–210. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-009-0407-1_10.

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10

Wang, Yeqiao, Shuhua Qi, and Jian Xu. "Multitemporal Remote Sensing for Inland Water Bodies and Wetland Monitoring." In Multitemporal Remote Sensing, 357–71. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47037-5_17.

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Тези доповідей конференцій з теми "Water Remote sensing"

1

Toll, David L., Kristi Arsenault, Paul Houser, Jared Entin, Brian Cosgrove, Christa Peters-Lidard, and Matthew Rodell. "Terrestrial water and energy systems for water resource applications." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, Haruhisa Shimoda, Joan B. Lurie, and Michelle L. Aten. SPIE, 2004. http://dx.doi.org/10.1117/12.514325.

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2

Tonizzo, A., T. Harmel, A. Ibrahim, S. Hlaing, I. Ioannou, A. Gilerson, J. Chowdhary, B. Gross, F. Moshary, and S. Ahmed. "Sensitivity of the above water polarized reflectance to the water composition." In Remote Sensing, edited by Charles R. Bostater, Jr., Stelios P. Mertikas, Xavier Neyt, and Miguel Velez-Reyes. SPIE, 2010. http://dx.doi.org/10.1117/12.865510.

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3

Bostater, Jr., Charles R., James Jones, Heather Frystacky, Mate Kovacs, and Oszkar Jozsa. "Image analysis for water surface and subsurface feature detection in shallow waters." In Remote Sensing, edited by Charles R. Bostater, Jr., Stelios P. Mertikas, Xavier Neyt, and Miguel Velez-Reyes. SPIE, 2010. http://dx.doi.org/10.1117/12.870728.

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4

Bostater, Jr., Charles R., and Luce Bassetti. "Influence of water waves on hyperspectral remote sensing of subsurface water features." In Remote Sensing, edited by Charles R. Bostater, Jr. and Rosalia Santoleri. SPIE, 2004. http://dx.doi.org/10.1117/12.565273.

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Dinoev, T., P. Ristori, Y. Arshinov, S. Bobrovnikov, I. Serikov, B. Calpini, H. van den Bergh, and V. Simeonov. "Meteorological water vapor Raman lidar: advances." In Remote Sensing, edited by Upendra N. Singh. SPIE, 2006. http://dx.doi.org/10.1117/12.692451.

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6

Bostater, Charles R. "Multiresolution earth remote sensing approach." In Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2018, edited by Charles R. Bostater, Stelios P. Mertikas, and Xavier Neyt. SPIE, 2018. http://dx.doi.org/10.1117/12.2515670.

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Santini, F., R. M. Cavalli, A. Palombo, and S. Pignatti. "Optical model for the water characterization of the highly turbid water of the Winam Gulf (Victoria Lake)." In Remote Sensing, edited by Charles R. Bostater, Jr., Stelios P. Mertikas, Xavier Neyt, and Miguel Vélez-Reyes. SPIE, 2007. http://dx.doi.org/10.1117/12.739061.

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Migliorini, Stefano, Stefano Nativi, and Dino Giuli. "Water vapor and cloud liquid water effective profile retrievals over the sea using TRMM microwave imager (TMI)." In Remote Sensing, edited by Jaqueline E. Russell. SPIE, 1999. http://dx.doi.org/10.1117/12.373058.

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Ioannou, Ioannis, Alexander Gilerson, Michael Ondrusek, Soe Hlaing, Robert Foster, Ahmed El-Habashi, Kaveh Bastani, and Samir Ahmed. "Remote estimation of in water constituents in coastal waters using neural networks." In SPIE Remote Sensing, edited by Charles R. Bostater, Stelios P. Mertikas, and Xavier Neyt. SPIE, 2014. http://dx.doi.org/10.1117/12.2067772.

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Bazzani, Marco, Giovanna Cecchi, Luca Pantani, and Valentina Raimondi. "Lidar measurement of light attenuation in water." In Remote Sensing, edited by Giovanna Cecchi and Eugenio Zilioli. SPIE, 1998. http://dx.doi.org/10.1117/12.332728.

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Звіти організацій з теми "Water Remote sensing"

1

Mobley, Curtis D. Algorithm Comparison for Shallow-Water Remote Sensing. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada541078.

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2

Aldridge, David Franklin, Lewis Clark Bartel, Nedra Bonal, and Bruce Phillip Engler. Geophysical remote sensing of water reservoirs suitable for desalinization. Office of Scientific and Technical Information (OSTI), December 2009. http://dx.doi.org/10.2172/986593.

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3

Alföldi, T. Remote Sensing as a Tool for Water Resource Engineers. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1987. http://dx.doi.org/10.4095/217451.

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4

Champagne, C., K. Staenz, A. Bannari, H. P. White, J. C. Deguise, and H. McNairn. Estimation of Plant Water Content of Agricultural Canopies Using Hyperspectral Remote Sensing. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219955.

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Tufillaro, Nicholas. Correlation of Remote Sensing Water Quality Maps with an in situ Sensor Network. Office of Scientific and Technical Information (OSTI), March 2022. http://dx.doi.org/10.2172/1862416.

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Xu, Min, Hongxing Liu, Richard Beck, Molly Reif, Erich Emery, and Jade Young. Regional analysis of lake and reservoir water quality with multispectral satellite remote sensing images. Engineer Research and Development Center (U.S.), December 2019. http://dx.doi.org/10.21079/11681/34933.

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Friedman, Shmuel, Jon Wraith, and Dani Or. Geometrical Considerations and Interfacial Processes Affecting Electromagnetic Measurement of Soil Water Content by TDR and Remote Sensing Methods. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580679.bard.

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Анотація:
Time Domain Reflectometry (TDR) and other in-situ and remote sensing dielectric methods for determining the soil water content had become standard in both research and practice in the last two decades. Limitations of existing dielectric methods in some soils, and introduction of new agricultural measurement devices or approaches based on soil dielectric properties mandate improved understanding of the relationship between the measured effective permittivity (dielectric constant) and the soil water content. Mounting evidence indicates that consideration must be given not only to the volume frac
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8

Agassi, Menahem, Michael J. Singer, Eyal Ben-Dor, Naftaly Goldshleger, Donald Rundquist, Dan Blumberg, and Yoram Benyamini. Developing Remote Sensing Based-Techniques for the Evaluation of Soil Infiltration Rate and Surface Roughness. United States Department of Agriculture, November 2001. http://dx.doi.org/10.32747/2001.7586479.bard.

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The objective of this one-year project was to show whether a significant correlation can be established between the decreasing infiltration rate of the soil, during simulated rainstorm, and a following increase in the reflectance of the crusting soil. The project was supposed to be conducted under laboratory conditions, using at least three types of soils from each country. The general goal of this work was to develop a method for measuring the soil infiltration rate in-situ, solely from the reflectance readings, using a spectrometer. Loss of rain and irrigation water from cultivated fields is
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9

Bonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, January 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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Анотація:
To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water
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10

Shimabukuro, Fred I. A Method for Remote Sensing of Precipitable Water Vapor and Liquid in the Atmosphere Using a 22-GHz Radiometer. Fort Belvoir, VA: Defense Technical Information Center, August 1987. http://dx.doi.org/10.21236/ada184204.

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