Estimation of the electrical conductivity of the soil from spectral information in the cultivation of rice (Oryza sativa L.)
Main Article Content
Abstract
Article Details
Those authors that have publications with this journal accept the following terms:
1. They will retain their copyright and guarantee the journal the right of first publication of their work, which will be simultaneously subject to the License Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) that allows third parties to share the work whenever its author is indicated and its first publication this journal. Under this license the author will be free of:
• Share — copy and redistribute the material in any medium or format
• Adapt — remix, transform, and build upon the material
• The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
• Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
• NonCommercial — You may not use the material for commercial purposes.
• No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
2. The authors may adopt other non-exclusive license agreements to distribute the published version of the work (e.g., deposit it in an institutional telematics file or publish it in a monographic volume) whenever the initial publication is indicated in this journal.
3. The authors are allowed and recommended disseminating their work through the Internet (e.g. in institutional telematics archives or on their website) before and during the submission process, which can produce interesting exchanges and increase the citations of the published work. (See the Effect of open access).
References
ALI, S.K.; ALI, S.A.; WU, Y.; ABBASI, B.; ALPI, F.G.; ALI, L.I.; ZHOU, G.: ¨An assessment of the spatial and temporal distribution of soil salinity in combination with field and satellite data: a case study in Sujawal District¨, [en línea] Agronomy, DOI-https://doi.org/10.3390/agronomy9120869, 9(12): 869, 2019.
AL-KHAIER, F.: Soil salinity detection using satellite remotes sensing, 61pp., Master’s Thesis, International institute for Geoinformation Science and Earth Observation, Enschede, The Netherlands, 2003.
ALLBED, A.; KUMAR, L.; ALDAKHEEL, Y.Y.: ¨Assessing soil salinity using soil salinity and vegetation indices derived from IKONOS high-spatial resolution imageries: Applications in a date palm dominated region¨, [en línea] Geoderma, ISSN-0016-7061, DOI-https://doi.org/10.1016/j.geoderma.2014.03.025, 230: 1-8, 2014.
AYERS, R.S.; WESTCOT, D.W.: Water quality for agriculture, Ed. Food and Agriculture Organization of the United Nations Rome, vol. 29, ISBN-92-5-102263-1, 1985.
BALAKRISHNAN, P.; SALEEM, A.; MALLIKARJUN, N.: ¨Groundwater quality mapping using geographic information system (GIS): A case study of Gulbarga City, Karnataka, India¨, [en línea] African Journal of Environmental Science and Technology, ISSN-1996-0786, DOI-https://doi.org/10.5897/AJEST11.134, 5(12): 1069-1084, 2011.
BANNARI, A.; GUÉDON, A.; EL-GHMARI, A.: ¨Mapping slight and moderate saline soils in irrigated agricultural land using advanced land imager sensor (EO-1) data and semi-empirical models¨, [en línea] Communications in Soil Science and Plant Analysis, ISSN-0010-3624, DOI-https://doi.org/10.1080/00103624.2016.1206919, 47(16): 1883-1906, 2016.
BANNARI, A.: GUEDON, A.; EL-HARTI, A.; CHERKAOUI, F.; EL-GHMARI, A.; SAQUAQUE, A.: ¨Slight and moderate saline and sodic soils characterization in irrigated agricultural land using multispectral remote sensing¨, [en línea] International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, DOI-https://doi.org/10.1080/00103620802432717, 34(Part XXX), 2009.
DING, J.; YU, D.: ¨Monitoring and evaluating spatial variability of soil salinity in dry and wet seasons in the Werigan–Kuqa Oasis, China, using remote sensing and electromagnetic induction instruments¨, [en línea] Geoderma, ISSN-0016-7061, DOI-https://doi.org/10.1016/j.geoderma.2014.07.028, 235: 316-322, 2014.
EL-BATTAY, A.; BANNARI, A.; HAMEID, N.; ABAHUSSAIN, A.: ¨Comparative study among different semi-empirical models for soil salinity prediction in an arid environment using OLI Landsat-8 data¨, [en línea] Advances in Remote Sensing, DOI-DOI: https://doi.org/10.4236/ars.2017.61002, 6(01): 23, 2017.
ELHAG, M.: ¨Evaluation of different soil salinity mapping using remote sensing techniques in arid ecosystems, Saudi Arabia¨, [en línea] Journal of Sensors, ISSN-1687-725X, DOI-https://doi.org/10.1155/2016/7596175, 2016, 2016.
HARTI, E.A.; LHISSOU, R.; CHOKMANI, K.; OUZEMOU, J.-E.; HASSOUNA, M.; BACHAOUI, E.M.; EL GHMARI, A.: ¨Spatiotemporal monitoring of soil salinization in irrigated Tadla Plain (Morocco) using satellite spectral indices¨, [en línea] International Journal of Applied Earth Observation and Geoinformation, ISSN-0303-2434, DOI-https://doi.org/10.1016/j.jag.2016.03.008, 50: 64-73, 2016.
HOWARI, F.; GOODELL, P.; MIYAMOTO, S.: ¨Spectral properties of salt crusts formed on saline soils¨, [en línea] Journal of Environmental Quality, ISSN-0047-2425, DOI-https://doi.org/10.2134/jeq2002.1453, 31(5): 1453-1461, 2002.
KHAN, N.; RASTOSKUEV, V.; SHALINA, E.; SATO, Y.: ¨Mapping salt-affected soils using remote sensing indicators a simple approach with the use of GIS IDRISI¨, En: 22nd Asian Conference on Remote Sensing, Center for Remote Imaging, sensing and Processing (CRISP), National University of Singapore; Singapore, pp. 5, Singapore, 2001.
KUMAR, N.; SINGH, S.K.; PANDEY, H.: ¨Drainage morphometric analysis using open access earth observation datasets in a drought-affected part of Bundelkhand, India¨, [en línea] Applied Geomatics, ISSN-1866-928X, DOI-https://doi.org/10.1007/s12518-018-0218-2, 10(3): 173-189, 2018.
MA, Z.; SHI, Z.; ZHOU, Y.; XU, J.; YU, W.; YANG, Y.: ¨A spatial data mining algorithm for downscaling TMPA 3B43 V7 data over the Qinghai–Tibet Plateau with the effects of systematic anomalies removed¨, [en línea] Remote Sensing of Environment, ISSN-0034-4257, DOI-https://doi.org/10.1016/j.rse.2017.08.023, 200: 378-395, 2017.
MASHIMBYE, Z.E.: Remote sensing of salt-affected soil, 151pp., Ph.D. Thesis, Stellenbosch University, Faculty of AgriSciences, Stellenbosch, South Africa, 2013.
PUJOL, O.R.; HERRERA, P.J.; CID, L.G.; ALARCÓN, L.R.; LÓPEZ, C.G.: ¨Evaluación del funcionamiento hidráulico del drenaje soterrado en áreas arroceras de la zona norte de la provincia Granma, Cuba¨, Revista Ciencias Técnicas Agropecuarias, ISSN-1010-2760, e-ISSN: 2071-0054, 18(3): 30-34, 2009.
SCUDIERO, E.; SKAGGS, T.H.; CORWIN, D.L.: ¨Regional-scale soil salinity assessment using Landsat ETM+ canopy reflectance¨, [en línea] Remote Sensing of Environment, ISSN-0034-4257, DOI-http://dx.doi.org/10.1016/j.rse.2015.08.0260034, 169: 335-343, 2015.
SIDIKE, A.; ZHAO, S.; WEN, Y.: ¨Estimating soil salinity in Pingluo County of China using QuickBird data and soil reflectance spectra¨, [en línea] International Journal of Applied Earth Observation and Geoinformation, ISSN-0303-2434, DOI-https://doi.org/10.1016/j.jag.2013.06.002, 26: 156-175, 2014.
TAYLOR, S.: Dryland salinity: introductory extension notes, Ed. Department of Land and Water Conservation, pp. 63, ISBN-978-0-7310-1124-7, Sydney, Australia, 1993.
UNITED STATE OF GEOLOGICAL SURVEY: ¨Landsat Earth observation satellites: U.S. Geological Survey Fact Sheet 2015–3081¨, [en línea] DOI-https://doi.org/10.3133/fs20153081, 4, 2016.
ZAMAN, M.; SHAHID, S.A.; HENG, L.: Guideline for Salinity Assessment, Mitigation and Adaptation Using Nuclear and Related Techniques, Ed. Springer: New York, vol. 3, pp. 43-53, ISBN-978-3-319-96190-3, NY, USA, 2018.