Estimating the Capacity of the Surface Area of Jabi Lake, Abujanigeria Using Normalized Difference Water Index Algorithms Derived from Operational Land Imager, Abuja, Nigeria

Authors

  • Yahaya Usman Badaru Department of Geography, Federal University of Technology, Akuar, Nigeria
  • Yakubu Mohammed Nassir Director, DLN Consults and Partners, Abuja, Nigeria
  • Musa Yakubu Principal Consultant, Yamiza Limited, Suite A201, Garki Mall, Abuja Investment Neighborhood Centre, Nigeria

DOI:

https://doi.org/10.53555/ans.v2i1.119

Keywords:

NDWI, RVI,, OLI, surface area, water reservoir

Abstract

The Normalized difference water index (NDWI) with Ratio of vegetation index (RVI) is successfully used to extract the information of the lake reservoir capacity in the Month of May during the wet/rainy season and for the month of November during the dry/cold season using Landsat-8 Operational Land Imager (OLI) multispectral images. This study specifically uses spectral band-5/NIR (0.845-0.885), band-6/SWIR (1.560–1.660) and the spatial resolution of 30m for NDWI and RVI assessment. The results provided an opportunity to show the correlations of changes of which OLI NDWI/RVI algorithms achieve an overall level of accuracy/strength of 100% and a kappa coefficient of determination of 1.0000 (100%). The results showed a decreasing trend in the lake water surface area from the month of
October/November, 2015 (cold/dry season) period, when the lake lost almost 0.42 km2 (38.2%)
of its surface area of water. It is evident that excessive ground water exploitation such as sinking/drilling of borehole and wells, and seasonal variation of rain water has all reduced the
surface area of the Lake reservoir. The results illustrate the effectiveness of the NDWI and RVI
approach for water measurement, especially in detecting the changes between two seasons
simultaneously. Therefore, appropriate measures need to be taken to prevent further decline of the lake, so that the function postulates by the lake as the only medium for balancing heat transfer and corridor of recreational will not be defeated.

Downloads

Download data is not yet available.

References

Badaru, Y.U., Onuh, S.,Musa, Y.,Ishiaku, I. & Nassir, Y.M.(2014). Analysis ofSensor Imaging andField-Validation forFuture Flood alongRiver Niger andBenue Confluence Ecology, Lokoja, Nigeria.“Journal of Environment and Earth Science” Vol. 4, No.22 (2014), pp. 90-99

Du, Z.,Linghu, B., Ling, F., Li, W., Tian, W., Wang, H., Gui, Y., Sun, B. &Zhang, X. (2012). Estimating surface water area changes using time-series Landsat data in the qingjiang river basin, “China Journal of Application ofRemote Sensing”. 6, doi:10.1117/1.JRS.6.063609.

Gao, B.C. (1995), A normalized difference water index for remote sensing of vegetation liquid water from space, in SPIE's 1995 Symposium on OE / Aerospace Sensing and Dual Use Photonics, Vol. 2480, Orlando, FL.

Gao, B. C.& Goetz, A. F. H. (1995). Retrieval of equivalent water thickness and information related to biochemical components of vegetation canopies from AVIRIS data. “Remote Sensing of Environment”, 52, 155 –162.

Gao, B.C. (1996)NDWI -A normalized difference water index for remote sensing of vegetation liquid water from space.“Remote Sensing of Environment”, Vol. 58: 257-266

Hardisky, M. A., Klemas, V. & Smart, R. M. (1983). The influences of soil salinity, growth form, and leaf moisture on the spectral reflectance of Spartina alterniflora canopies. “Photogrammetric Engineering and Remote Sensing”, 49, 77 –83.

Mcfeeters, S.K.(1996). The use of normalized difference water index (NDWI) in the delineation of open water features. “International Journal of Remote Sensing”, 17, pp. 1425–1432.

Sun, F.,Sun, W.,Chen, J.&Gong, P.(2012).Comparison and improvement of methods for identifying water bodiesin remotely sensed imagery. Gery. “International JournalRemote Sensing”. 2012, 33, 6854–6875.

Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. “International Journal Remote Sensing”. 27, 3025–3033.

Downloads

Published

2016-01-31

How to Cite

Badaru, Y. U., Nassir, Y. M., & Yakubu, M. (2016). Estimating the Capacity of the Surface Area of Jabi Lake, Abujanigeria Using Normalized Difference Water Index Algorithms Derived from Operational Land Imager, Abuja, Nigeria. International Journal For Research In Applied And Natural Science, 2(1), 70–78. https://doi.org/10.53555/ans.v2i1.119

Issue

Vol. 2 No. 1 (2016): International Journal For Research In Applied And Natural Science

Section

Articles

License

Copyright (c) 2016 gnpublication@

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In consideration of the journal, Green Publication taking action in reviewing and editing our manuscript, the authors undersigned hereby transfer, assign, or otherwise convey all copyright ownership to the Editorial Office of the Green Publication in the event that such work is published in the journal. Such conveyance covers any product that may derive from the published journal, whether print or electronic. Green Publication shall have the right to register copyright to the Article in its name as claimant, whether separately
or as part of the journal issue or other medium in which the Article is included.

By signing this Agreement, the author(s), and in the case of a Work Made For Hire, the employer, jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties, and that the Article has not been published elsewhere, and is not being considered for publication elsewhere in any form, except as provided herein. Each author’s signature should appear below. The signing author(s) (and, in