Remote Sensing in Water Resource Monitoring a Comprehensive Review on Monitoring the Quality and Quantity of the Water Resources Using Remote Sensing Applications

Remote sensing is used for capturing the earth observations whereas the place is not easily accessible to the humans. The remote sensing satellite images are widening its application day by day. The geo-synchronous and geo-stationary satellites are placed on different altitudes to observe the electromagnetic spectrums from the earth. The active sensors emit its own energy for receiving signal while passive sensors are only illuminating with the sun light source. Radiometric, spectral, spatial, and temporal resolution possess the quality of the image even the specification of the sensors in the satellite. The satellite images and its resolution vary from 10 cm to 30 m. The multi-date remote sensing satellite images are recording the signals as observations from the planet for the specific time period continuously. The analysis of water mask data, spatio-temporal distributions of surface water and ground water, the morphometric analysis, surface and ground water interactions, potential evapotranspiration (PET), watershed delineation, groundwater table fluctuations, water quality, other spectral indices related to water resource analysis, etc. Due to rapid urbanization, the water resources are getting polluted by domestic and industrial wastes which lead to water-borne diseases. Increasing demand for water causes interstate disputes and agricultural loss occurs due to lack of proper irrigational process in the land. The water resources are either highly exploited or polluted because of poor governance and mismanagement of stake holders in the local community. Apart from rejuvenating and conserving the water resources continuously, monitoring and managing the demand is highly recommendable for sustainable development. Monitoring the quantity and quality of the water resources through remote sensing will derive the output more accurate and it will be applied to the decision-making system of various fields such as drought risk assessment, food security, water scarcity, flood risk zone, floor space index (FSI), and reconnaissance drought index (RDI). The remote sensing applications in water resources intend to analyze the hydrology, meteorology, and agronomy. The geospatial database is used to quantify and check water quality parameters for the conservation of water resources.
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References
- Al-Djazouli MO, Elmorabiti K, Rahimi A, Amellah O, Fadil OAM (2021) Delineating of groundwater potential zones based on remote sensing, GIS and analytical hierarchical process: a case of Waddai, eastern Chad. GeoJournal 86(4):1881–1894 ArticleGoogle Scholar
- Alparslan E, Aydöner C, Tufekci V, Tüfekci H (2007) Water quality assessment at Ömerli Dam using remote sensing techniques. Environ Monit Assess 135(1):391–398 ArticleCASPubMedGoogle Scholar
- Aryalekshmi BN, Biradar RC, Chandrasekar K, Ahamed JM (2021) Analysis of various surface energy balance models for evapotranspiration estimation using satellite data. Egypt J Remote Sensing Space Sci 24(3):1119–1126 Google Scholar
- Biswas A, Gangwar D (2021) Studying the water crisis in Delhi due to rapid urbanisation and land use transformation. Int J Urban Sustain Development 13(2):199–213 ArticleGoogle Scholar
- Blumberg DG, Freilikher V, Kaganovskii Y, Maradudin AA (2002) Subsurface microwave remote sensing of soil-water content: field studies in the Negev Desert and optical modelling. Int J Remote Sens 23(19):4039–4054 ArticleGoogle Scholar
- BOOK, I. Section of Physical Sciences. EARTH, 1, 62 Google Scholar
- Deliry SI, Pekkan E, Avdan U (2022) GIS-based water budget estimation of the Kizilirmak River Basin using GLDAS-2.1 Noah and CLSM Models and remote sensing observations. J Indian Soc Remote Sens, 1–19 Google Scholar
- Elewa HH, Shohaib RE, Qaddah AA, Nousir AM (2013) Determining groundwater protection zones for the Quaternary aquifer of northeastern Nile Delta using GIS-based vulnerability mapping. Environ Earth Sci 68(2):313–331 ArticleCASGoogle Scholar
- Elhag M, Bahrawi JA (2017) Realization of daily evapotranspiration in arid ecosystems based on remote sensing techniques. Geosci Instrum Method Data Syst 6:141–147. https://doi.org/10.5194/gi-6-141-2017ArticleGoogle Scholar
- Engman ET (1996) Remote sensing applications to hydrology: future impact. Hydrol Sci J 41(4):637–647 ArticleGoogle Scholar
- Fichot CG, Downing BD, Bergamaschi BA, Windham-Myers L, Marvin-DiPasquale M, Thompson DR, Gierach MM (2016) High-resolution remote sensing of water quality in the San Francisco Bay-Delta Estuary. Environ Sci Technol 50(2):573–583 ArticleCASPubMedGoogle Scholar
- Garrido-Rubio J, Sanz D, González-Piqueras J, Calera A (2019) Application of a remote sensing-based soil water balance for the accounting of groundwater abstractions in large irrigation areas. Irrig Sci 37(6):709–724 ArticleGoogle Scholar
- Hanjra MA, Qureshi ME (2010) Global water crisis and future food security in an era of climate change. Food Policy 35(5):365–377 ArticleGoogle Scholar
- Isaev AS, Korovin GN, Bartalev SA, Ershov DV, Janetos A, Kasischke ES, . Murphy TL (2002) Using remote sensing to assess Russian forest fire carbon emissions. Climatic Change 55(1):235–249 Google Scholar
- Jha MK, Chowdary VM (2007) Challenges of using remote sensing and GIS in developing nations. Hydrogeol J 15(1):197–200 ArticleGoogle Scholar
- Jiang L, Nielsen K, Andersen OB, Bauer-Gottwein P (2017a) Monitoring recent lake level variations on the Tibetan Plateau using CryoSat-2 SARIn mode data. J Hydrol 544:109–124 ArticleGoogle Scholar
- Jiang L, Schneider R, Andersen OB, Bauer-Gottwein P (2017b) CryoSat-2 altimetry applications over rivers and lakes. Water 9(3):211 ArticleCASGoogle Scholar
- Jørgensen LF, Stockmarr J (2009) Groundwater monitoring in Denmark: characteristics, perspectives and comparison with other countries. Hydrogeol J 17(4):827–842 ArticleGoogle Scholar
- Jousma G, Roelofsen FJ (2004) World-wide inventory on groundwater monitoring. Report nr. GP 1 Google Scholar
- Kumar V, Sharma A, Chawla A, Bhardwaj R, Thukral AK (2016) Water quality assessment of river Beas, India, using multivariate and remote sensing techniques. Environ Monit Assess 188(3):1–10 ArticleGoogle Scholar
- Lee JY, Yi MJ, Yoo YK, Ahn KH, Kim GB, Won JH (2007) A review of the national groundwater monitoring network in Korea. Hydrol Processes Int J 21(7):907–919 ArticleGoogle Scholar
- Li D, Wang M, Jiang J (2021) China’s high-resolution optical remote sensing satellites and their mapping applications. Geo-Spatial Inf Sci 24(1):85–94 ArticleGoogle Scholar
- Li J, Chen X, Tian L, Huang J, Feng L (2015) Improved capabilities of the Chinese high-resolution remote sensing satellite GF-1 for monitoring suspended particulate matter (SPM) in inland waters: radiometric and spatial considerations. ISPRS J Photogramm Remote Sens 106:145–156 ArticleGoogle Scholar
- Liu Y, Sarnat JA, Kilaru V, Jacob DJ, Koutrakis P (2005) Estimating ground-level PM2. 5 in the eastern United States using satellite remote sensing. Environ Sci Technol 39(9):3269–3278 Google Scholar
- Lopez‐Gunn E, Ramón Llamas M (2008) Re‐thinking water scarcity: can science and technology solve the global water crisis. In: Natural resources forum (Vol 32, No 3, pp 228–238). Oxford, UK: Blackwell Publishing Ltd Google Scholar
- Mittenzwey KH, Gitel’Son AA, Lopatchenko AA, Sukhorukov BL, Voigt T (1988) In‐situ monitoring of water quality on the basis of spectral reflectance. Ship‐borne experiments for the development of remote sensing algorithms especially for the estimation of algae content in natural waters. Internationale Revue der gesamten Hydrobiologie und Hydrographie 73(1):61–72 Google Scholar
- Mohan K, Shrivastava A, Rai PK (2011) Ground water in the City of Varanasi, India: present status and prospects. Quaestiones Geographicae 30(3):47–60. https://doi.org/10.2478/v10117-011-0026-9ArticleGoogle Scholar
- Mishra VN, Rai PK, Singh P (2021) Geo-information technology in earth resources monitoring and management (edit. Book), Nova Science Publishers, U.S.A., ISBN: 978–1–53619–669–6 Google Scholar
- Moore GK (1979) What is a picture worth? a history of remote sensing/Quelle est la valeur d’une image? Un tour d’horizon de télédétection. Hydrol Sci Bull 24(4):477–485 ArticleGoogle Scholar
- Munoz AA, Klock-Barría K, Alvarez-Garreton C, Aguilera-Betti I, González-Reyes Á, Lastra JA, . LeQuesne C (2020) Water crisis in Petorca Basin, Chile: the combined effects of a mega-drought and water management. Water 12(3):648 Google Scholar
- Nabi A, Gallardo AH, Ahmed S (2011) Optimization of a groundwater monitoring network for a sustainable development of the Maheshwaram Catchment. India. Sustainability 3(2):396–409 ArticleGoogle Scholar
- Nielsen K, Stenseng L, Andersen OB, Knudsen P (2017) The performance and potentials of the CryoSat-2 SAR and SARIn modes for lake level estimation. Water 9(6):374 ArticleGoogle Scholar
- Paillou P (2017) Mapping palaeohydrography in deserts: contribution from space-borne imaging radar. Water 9(3):194 ArticleGoogle Scholar
- Papenfus M, Schaeffer B, Pollard AI, Loftin K (2020) Exploring the potential value of satellite remote sensing to monitor chlorophyll-a for US lakes and reservoirs. Environ Monit Assess 192(12):1–22 ArticleGoogle Scholar
- Parrens M, Al Bitar A, Frappart F, Papa F, Calmant S, Crétaux JF, Kerr Y (2017) Mapping dynamic water fraction under the tropical rain forests of the Amazonian basin from SMOS brightness temperatures. Water 9(5):350 ArticleGoogle Scholar
- Pham-Duc B, Prigent C, Aires F (2017) Surface water monitoring within Cambodia and the Vietnamese Mekong Delta over a year, with Sentinel-1 SAR observations. Water 9(6):366 ArticleGoogle Scholar
- Pietroniro A, Leconte R (2000) A review of Canadian remote sensing applications in hydrology, 1995–1999. Hydrol Process 14(9):1641–1666 ArticleGoogle Scholar
- Potes M, Costa MJ, Da Silva JCB, Silva AM, Morais M (2011) Remote sensing of water quality parameters over Alqueva reservoir in the south of Portugal. Int J Remote Sens 32(12):3373–3388 ArticleGoogle Scholar
- Pu F, Ding C, Chao Z, Yu Y, Xu X (2019) Water-quality classification of inland lakes using Landsat8 images by convolutional neural networks. Remote Sensing 11(14):1674 ArticleGoogle Scholar
- Pulliainen J, Kallio K, Eloheimo K, Koponen S, Servomaa H, Hannonen T, Hallikainen M (2001) A semi-operative approach to lake water quality retrieval from remote sensing data. Sci Total Environ 268(1–3):79–93 ArticleCASPubMedGoogle Scholar
- Ritchie JC, Zimba PV, Everitt JH (2003) Remote sensing techniques to assess water quality. Photogramm Eng Remote Sens 69(6):695–704 ArticleGoogle Scholar
- Rai PK, Mishra S, Ahmad A, Mohan K (2014) A GIS-based approach in drainage morphometric analysis of Kanhar River Basin, India. Applied Water Science (springer) 7:217–232. https://doi.org/10.1007/s13201-014-0238-yArticleGoogle Scholar
- Rai PK, Chaubey PK, Mohan K, Singh P (2017) Geoinformatics for assessing the inferences of quantitative drainage morphometry of the Narmada Basin in India. Applied Geomatics (Springer), 1–23. https://doi.org/10.1007/s12518-017-0191-1
- Rai PK, Mishra VN, Singh P (2021) Recent technologies for disaster management & risk reduction-sustainable community resilience & responses (edit. Book), Springer Nature, Switzerland. https://doi.org/10.1007/978-3-030-76116-5
- Rai PK, Mishra VN, Singh P (2022) Geospatial technology for landscape and environment management: sustainable assessment & planning (edit. Book), Springer Nature, Singapore. https://doi.org/10.1007/978-981-16-7373-3
- Rokade VM, Kundal P, Joshi AK (2004) Water resources development action plan for sasti watershed, Chandrapur district, Maharashtra using remote sensing and geographic information system. J Indian Soc Remote Sensing 32(4):363–372 ArticleGoogle Scholar
- Sawaya KE, Olmanson LG, Heinert NJ, Brezonik PL, Bauer ME (2003) Extending satellite remote sensing to local scales: land and water resource monitoring using high-resolution imagery. Remote Sens Environ 88(1–2):144–156 ArticleGoogle Scholar
- Schepaschenko D, McCallum I, Shvidenko A, Fritz S, Kraxner F, Obersteiner M (2011) A new hybrid land cover dataset for Russia: a methodology for integrating statistics, remote sensing and in situ information. J Land Use Sci 6(4):245–259 ArticleGoogle Scholar
- Schepaschenko DG, Shvidenko AZ, Lesiv MY, Ontikov PV, Shchepashchenko MV, Kraxner F (2015) Estimation of forest area and its dynamics in Russia based on synthesis of remote sensing products. Contemp Probl Ecol 8(7):811–817 ArticleGoogle Scholar
- Schmugge T, Gurney RJ (1988) Applications of remote sensing in hydrology. In: Developments in water science (Vol 35, pp 383–388). Elsevier Google Scholar
- Seaton D, Dube T, Mazvimavi D (2020) Use of multi-temporal satellite data for monitoring pool surface areas occurring in non-perennial rivers in semi-arid environments of the Western Cape, South Africa. ISPRS J Photogramm Remote Sens 167:375–384 ArticleGoogle Scholar
- Seyhan E, Dekker A (1986) Application of remote sensing techniques for water quality monitoring. Hydrobiol Bull 20(1):41–50 ArticleCASGoogle Scholar
- Sheffield J, Wood EF, Pan M, Beck H, Coccia G, Serrat-Capdevila A, Verbist K (2018) Satellite remote sensing for water resources management: potential for supporting sustainable development in data-poor regions. Water Resour Res 54(12):9724–9758 ArticleGoogle Scholar
- Sikdar PK, Chakraborty S, Adhya E, Paul PK (2004) Land use/land cover changes and groundwater potential zoning in and around Raniganj coal mining area, Bardhaman District, West Bengal: a GIS and remote sensing approach. J Spat Hydrol 4(2):1–24 Google Scholar
- Singh RK, Bhatt CM, Prasad VH (2003) Morphological study of a watershed using remote sensing and GIS techniques. Hydrol J 26(1–2):55–66 Google Scholar
- Singh A, Rai PK, Deka G, Biswas B, Prasad D, Rai VK (2021) Management of natural resources through integrated watershed management in Nana Kosi micro watershed; district Almora, India. Ecology Environ Conservation 27 (February Suppl. Issue); pp (S260–S268) Google Scholar
- Sivakumar B (2011) Water crisis: from conflict to cooperation—an overview. Hydrol Sci J 56(4):531–552 ArticleGoogle Scholar
- Springer A, Eicker A, Bettge A, Kusche J, Hense A (2017) Evaluation of the water cycle in the European COSMO-REA6 reanalysis using GRACE. Water 9(4):289 ArticleGoogle Scholar
- Sunarta IN, As-Syakur AR (2015) Study on the Development of Water Crisis in Bali Island in 2009 and 2013. E-J Tourism 2(1):33–42 Google Scholar
- Taravat A, Rajaei M, Emadodin I, Hasheminejad H, Mousavian R, Biniyaz E (2016) A spaceborne multisensory, multitemporal approach to monitor water level and storage variations of lakes. Water 8(11):478 ArticleGoogle Scholar
- Tera’at El Mansuriyah St, E. (2012) Determining potential sites for runoff water harvesting using remote sensing and geographic information systems-based modeling in Sinai. Am J Environ Sci 8:42–55 ArticleGoogle Scholar
- Vallino E, Ridolfi L, Laio F (2021) Trade of economically and physically scarce virtual water in the global food network. Sci Rep 11(1):1–18 ArticleGoogle Scholar
- Van Dijk AIJM, Renzullo LJ, Rodell M (2011) Use of Gravity Recovery and Climate Experiment terrestrial water storage retrievals to evaluate model estimates by the Australian water resources assessment system. Water Resources Res 47(11) Google Scholar
- Vanham D, Hoekstra AY, Wada Y, Bouraoui F, De Roo A, Mekonnen MM, . Bidoglio G (2018) Physical water scarcity metrics for monitoring progress towards SDG target 6.4: an evaluation of indicator 6.4. 2 “Level of water stress”. Sci Total Environ 613:218–232 Google Scholar
- Verdin JP (1985) Monitoring water quality conditions in a large western reservoir with Landsat imagery. Photogramm Eng Remote Sens 51(3):343–353 Google Scholar
- Vignolo A, Pochettino A, Cicerone D (2006) Water quality assessment using remote sensing techniques: Medrano Creek. Argentina. J Environ Manag 81(4):429–433 Google Scholar
- Vinnikov KY, Robock A, Qiu S, Entin JK, Owe M, Choudhury BJ, . Njoku EG (1999) Satellite remote sensing of soil moisture in Illinois, United States. J Geophys Res Atmosph 104(D4):4145–4168 Google Scholar
- Wiesnet DR, Konovalov VG, Solomon SI (1979) Applications of remote sensing to hydrology. WMO Google Scholar
- Willis KS (2015) Remote sensing change detection for ecological monitoring in United States protected areas. Biol Cons 182:233–242 ArticleGoogle Scholar
- Yang MD, Merry CJ, Sykes RM (1999) Integration of water quality modeling, remote sensing, and GIS 1. JAWRA J American Water Resour iation 35(2):253–263 ArticleGoogle Scholar
- Yang Y, Shang S, Jiang L (2012) Remote sensing temporal and spatial patterns of evapotranspiration and the responses to water management in a large irrigation district of North China. Agric for Meteorol 164:112–122 ArticleGoogle Scholar
- Yigit Avdan Z, Kaplan G, Goncu S, Avdan U (2019) Monitoring the water quality of small water bodies using high-resolution remote sensing data. ISPRS Int J Geo Inf 8(12):553 ArticleGoogle Scholar
- Zhang J, Okin GS, Zhou B (2019) Assimilating optical satellite remote sensing images and field data to predict surface indicators in the Western US: Assessing error in satellite predictions based on large geographical datasets with the use of machine learning. Remote Sens Environ 233:111382 ArticleGoogle Scholar
- Zhang X, Wang F, Wang W, Huang F, Chen B, Gao L, Li Z (2020) The development and application of satellite remote sensing for atmospheric compositions in China. Atmosph Res 245:105056 Google Scholar
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Authors and Affiliations
- Centre for Water Resource Management, University of Madras, Chennai, India N. Priyanka, J. L. Prameena Sheeja & G. Bhaskaran
- Professor and Head i/c of Centre for Water Resources Management, University of Madras, Guindy, Chennai, India G. Bhaskaran
- N. Priyanka