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Miscellany

Remote sensing and GIS for estimation of irrigation crop water demand

Pages 2359-2370 | Received 11 Sep 2003, Accepted 27 Jul 2004, Published online: 30 Sep 2008

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Jefferson Vieira José, Niclene Ponce Rodrigues de Oliveira, Tonny José de Araújo da Silva, Edna Maria Bonfim-Silva, Jéfferson de Oliveira Costa, Willian Fenner & Rubens Duarte Coelho. (2020) Quantification of cotton water consumption by remote sensing. Geocarto International 35:16, pages 1800-1813.
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EdwardP. Glenn, AlfredoR. Huete, PamelaL. Nagler, KatherineK. Hirschboeck & Paul Brown. (2007) Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration. Critical Reviews in Plant Sciences 26:3, pages 139-168.
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Daniel de la Fuente-Saiz, Samuel Ortega-Farias, Marcos Carrasco-Benavides, Samuel Ortega-Salazar, Fei Tian, Sufen Wang & Yi Liu. (2024) Assessment of satellite-based water requirements for a drip-irrigated apple orchard in Mediterranean agroclimatic conditions. Heliyon 10:9, pages e29688.
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Gunawan Prayitno, Eko Sediyono, Irwan Sembiring, Sri Yulianto Prasetyo & puput Dani Prasetyo Adi. (2023) Clustering Satellite Images of Forest Area Change in Nabire Regency with NDVI, SAVI, MSAVI, VCI, TCI, dan VHI Method. Clustering Satellite Images of Forest Area Change in Nabire Regency with NDVI, SAVI, MSAVI, VCI, TCI, dan VHI Method.
Randa S. Makar, Sahar A. Shahin, Mostafa El-Nazer, Ali Wheida & Mohamed Abd El-Hady. (2022) Evaluating the Impacts of Climate Change on Irrigation Water Requirements. Sustainability 14:22, pages 14833.
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Marcos Carrasco-Benavides, Samuel Ortega-Farías, Pilar M. Gil, Daniel Knopp, Luis Morales-Salinas, L. Octavio Lagos, Daniel de la Fuente, Rafael López-Olivari & Sigfredo Fuentes. (2022) Assessment of the vineyard water footprint by using ancillary data and EEFlux satellite images. Examples in the Chilean central zone. Science of The Total Environment 811, pages 152452.
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Abdelrazek Elnashar, Mohamed Abbas, Hassan Sobhy & Mohamed Shahba. (2021) Crop Water Requirements and Suitability Assessment in Arid Environments: A New Approach. Agronomy 11:2, pages 260.
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Bhaskar Ramchandra Nikam, Vaibhav Garg, Praveen Kumar Thakur & Shiv Prasad Aggarwal. (2020) Application of Remote Sensing and GIS in Performance Evaluation of Irrigation Project at Disaggregated Level. Journal of the Indian Society of Remote Sensing 48:7, pages 979-997.
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Ravneet Kaur Sidhu, Ravinder Kumar & Prashant Singh Rana. (2020) Machine learning based crop water demand forecasting using minimum climatological data. Multimedia Tools and Applications 79:19-20, pages 13109-13124.
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M. P. Akhtar, L. B. Roy & K. M. Vishwakarma. (2020) Assessment of agricultural potential of a river command using geo-spatial techniques: a case study of Himalayan river project in Northern India. Applied Water Science 10:3.
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A Asmuti. (2019) Mapping of Irrigation Service Capacity by Remote Sensing in Batang Tampo Irrigation System-Lintau Buo. IOP Conference Series: Earth and Environmental Science 327:1, pages 012008.
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Rohit Sharma, Sachin S. Kamble & Angappa Gunasekaran. (2018) Big GIS analytics framework for agriculture supply chains: A literature review identifying the current trends and future perspectives. Computers and Electronics in Agriculture 155, pages 103-120.
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Ch. Ramesh Naidu & M. V. S. S. Giridhar. (2016) Irrigation Demand VS Supply-Remote Sensing and GIS Approach. Journal of Geoscience and Environment Protection 04:01, pages 43-49.
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Vidya Kumbhar, Sanjukta Choudhury, Avinanda Sen & T.P. Singh. (2014) Assessment of Irrigation and Agriculture Potential Using Geospatial Techniques: A Case Study of “Bhima-Ujjani” Project. Procedia - Social and Behavioral Sciences 157, pages 277-284.
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Christopher Conrad, Maren Rahmann, Miriam Machwitz, Galina Stulina, Heiko Paeth & Stefan Dech. (2013) Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan. Global and Planetary Change 110, pages 88-98.
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V.C. Patil, K.A. Al-Gaadi, M. Rangaswamy, E. Tola, S. Marey & A. Al-Dosari. (2013) Crop water productivity mapping using aster imagery for irrigated fields of Al-Kharj region in Eastern province of Saudi Arabia. Crop water productivity mapping using aster imagery for irrigated fields of Al-Kharj region in Eastern province of Saudi Arabia.
C. Conrad, S.W. Dech, M. Hafeez, J.P.A. Lamers & B. Tischbein. (2013) Remote sensing and hydrological measurement based irrigation performance assessments in the upper Amu Darya Delta, Central Asia. Physics and Chemistry of the Earth, Parts A/B/C 61-62, pages 52-62.
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Santiago Castaño, David Sanz & Juan J. Gómez-Alday. (2009) Methodology for Quantifying Groundwater Abstractions for Agriculture via Remote Sensing and GIS. Water Resources Management 24:4, pages 795-814.
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A.H. de C. Teixeira, W.G.M. Bastiaanssen, M.D. Ahmad & M.G. Bos. (2009) Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle São Francisco River basin, Brazil. Agricultural and Forest Meteorology 149:3-4, pages 462-476.
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Alexander Platonov, Prasad Thenkabail, Chandrashekhar Biradar, Xueliang Cai, Muralikrishna Gumma, Venkateswarlu Dheeravath, Yafit Cohen, Victor Alchanatis, Naftali Goldshlager, Eyal Ben-Dor, Jagath Vithanage, Herath Manthrithilake, Shavkat Kendjabaev & Sabirjan Isaev. (2008) Water Productivity Mapping (WPM) Using Landsat ETM+ Data for the Irrigated Croplands of the Syrdarya River Basin in Central Asia. Sensors 8:12, pages 8156-8180.
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Francisco J. Tapiador. 2008. Rural Analysis and Management. Rural Analysis and Management 245 254 .

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