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Academic Journal of Environmental Biology, 2020, 1(3); doi: 10.38007/AJEB.2020.010306.

The Response of River Biological Monitoring and Water Quality Based on Remote Sensing Image Technology


Mayanky Biseen

Corresponding Author:
Mayanky Biseen

Amman Arab University, Jordan


With the development of space technology, the temporal resolution, spatial resolution and spectral resolution of remote sensing images have been greatly improved in accuracy. In the quantitative remote sensing monitoring of water quality, these characteristics of remote sensing images will affect the monitoring The accuracy of the results will have a great impact. Therefore, in the process of quantitative remote sensing monitoring of water quality, the selection of remote sensing image data is very important. In this paper, remote sensing image technology is used to study the biological monitoring and water quality responsiveness of a certain river. After taking water samples, SPOT-5 is used to obtain remote sensing data. After correlation analysis, the correlation of water quality indicators is obtained, and the response analysis of water quality indicators and microorganisms is carried out. The experimental results show that the total amount of microorganisms has a good response relationship with water quality.


Remote Sensing Image Technology, River Biological Monitoring, Water Quality Response, Correlation Analysis

Cite This Paper

Mayanky Biseen. The Response of River Biological Monitoring and Water Quality Based on Remote Sensing Image Technology. Academic Journal of Environmental Biology (2020), Vol. 1, Issue 3: 44-51. https://doi.org/10.38007/AJEB.2020.010306.


[1] Ismanto H, Doloksaribu A, Susanti D S, et al. The Accuracy of Remote Sensing Image Interprepation On Changes In Land Use Suitability In Merauke Regency Papua. International Journal of Engineering Trends and Technology, 2020, 68(10):42-47.

[2] Sedaghat A, Mohammadi N. Rotation Invariant Local Binary Pattern Descriptor for Remote Sensing Image Matching. Journal of Geospatial Information Technology, 2019, 7(2):223-239. https://doi.org/10.29252/jgit.7.2.223

[3] Vishwakarma H, Katiyar S K. An approach for line feature extraction using hough transform for remote sensing images. International Journal of Civil Engineering and Technology, 2018, 9(6):388-394.

[4] Rusyn B P, Lutsyk A A, Kosarevych R Y. Modified Architecture of Lossless Image Compression Based on FPGA for On-Board Devices with Linear CCD. Journal of Automation and Information Sciences, 2019, 51(2):41-49.

[5] Turibamwe E, Wangalwa R. A Comparative Study of Two Biological Monitoring Systems in Assessing Water Quality: A Case of River Birira, Sheema District, Uganda. Water Conservation and Management, 2020, 4(1):07-14. https://doi.org/10.26480/wcm.01.2020.07.14

[6] Bhutekar D D, Aher S B. Biological monitoring of riverine ecosystem and its correlation with water quality. Bioscience Biotechnology Research Communications, 2019, 12(1):194-202.

[7] Pattanayak A S, Pattnaik B S, Udgata S K, et al. Development of Chemical Oxygen on Demand (COD) Soft Sensor Using Edge Intelligence. IEEE Sensors Journal, 2020, PP(99):1-1.

[8] Jeong I S, Lee S R, Song I, et al. A Biological Monitoring Method based on the Response Behavior of Caenorhabditis Elegans to Chemicals in Water. Journal of Environment Informatics, 2019, 33(1):47-55.

[9] Rauen W B, Ferraresi A C, Maranho L, et al. Index-based and compliance assessment of water quality for a Brazilian subtropical reservoir. Engenharia Sanitaria E Ambiental, 2018, 23(5):841-848.

[10] Guellaf A, Kettani K. Performance of macroinvertebrates-based biotic indices for assessing water quality in martil river basin, northern morocco. Environmental Engineering and Management Journal, 2020, 20(1):141-150.

[11] Igor, Lima, Aboim, et al. Phytoplankton response to water quality seasonality in a Brazilian neotropical river.. Environmental monitoring and assessment, 2019, 192(1):70-70. https://doi.org/10.1007/s10661-019-7882-5

[12] Lakew A. Headwater Streams And Values Of Bio-Assessment For Sustainable River Management In Highlands Of Ethiopia. Ethiopian Journal of Environmental Studies and Management, 2020, 13(5):608-619.

[13] Ananga N, Pulcherie R, Aghaindum A G, et al. Physico-chemical and Biological Water Quality in a Sub-urban Area in Cameroon: Case of the Ngoumou Rural Council. Natural Resource Modelling, 2019, 4(6):198-204. https://doi.org/10.11648/j.ijnrem.20190406.16

[14] Silva T, Santo K, Matsumoto S T, et al. Monitoring of the water quality of the foz of Santa Maria da Vitória river and the Vitória bay-ES, by systematic studies of physical-chemical and biological parameters. Revista Virtual de Quimica, 2018, 10(5):1373-1392. https://doi.org/10.21577/1984-6835.20180094

[15] Azmi W A, Hussin N H, Amin N M. Monitoring of water quality using aquatic insects as biological indicators in three streams of Terengganu. Journal of Sustainability Science and Management, 2018, 13(1):67-76.

[16] Panda P K, Panda R B, Dash P K. The Study Of Water Quality Index And Seasonal Variations Of Physico-Chemical Parameters Of The River Salandi, Bhadrak, Odisha, India. Pollution research, 2019, 38(3):723-732.

[17] Saeidi Z, Vatandoost H. Aquatic Insect from Iran for Possible Use of Biological Control of Main Vector-Borne Disease of Malaria and Water Indicator of Contamination. Journal of Arthropod-Borne Diseases, 2018, 12(1):1-15.

[18] Beheary M S, Saleh E M, Serag M. Water Quality and Monitoring Of Some Pollution Indicators in Lake Manzala, Egypt. Advances in Environmental Biology, 2019, 13(6):7-12.

[19] Musthafa M M, Rajandram D, Abdullah F. Water Quality Assessment At Fraser's Hill And Pangkor Island, Malaysia Using Physico-Chemical And Biological Methods. Malaysian Forester, 2020, 83(2):199-214.