Research of effect of uncertainty of estimates of vegetation cover on predicted probability of flooding of urban territories upon inundation

Remote sensing
UDC: 
528.8+911.52
DOI: 
10.22389/0016-7126-2017-920-2-61-64
1 Danziyev R.M.
Year: 
2017
№: 
2
920
Pages: 
61-64

Azerbaijan University of Architecture and Construction

1, 
Abstract:
It is well-known that the densely grown vegetation increase the capability of water retention of hydrologic system of urban zones and weaken the water flows which can lead to flooding of urban zones. Therefore development and recovery of urban vegetation zones is significant and inseparable part of common urban system for management of city household. It is shown in the article that used at present time method for stylization of urban territories on different signatures impacting on general estimate of flooding risk of urban areas doesn’t take into account the really existing ambiguity of measurements results of different type aboard spectroradiometers carrying out assessment of amount of vegetation areas on the basis of value of NDVI of researched area. The researches described in the article show that uncertainty generated by ambiguity of measurements results of spectroradiometers MODIS and AVHRR is utmost in the flooding probability in such urban areas where the initial probability of flooding is maximum.
References: 
1.   Armson D., Stringer P., Ennos A.R. (2013) The effect of street trees and amenity grass on urban surface water runoff in Manchester, UK. Urban for, no. 12, Urban Green, pp. 282–286.
2.   Cameron R.W.F., Blanusa T., Taylor J.E., Salisbury A., Halstead A.J., Henricot B., Thompson K. (2013) The domestic garden – Its contribution to urban green infrastructure. Urban for. Urban Green, no. 11, pp. 129–137.
3.   Fensholt R., Sandholt I. (2005) Evaluation of MODIS and NOAA AVHRR vegetation indices with in situ measurements in a semi – arid environment. International Journal of Remote Sensing, Volume 26, no. 12, pp. 2561–2594.
4.   Gallo K., Ji L., Reed B., Dwyer J., Eidenshink J. Comparison of MODIS and AVHRR 16 – day normalized difference vegetation index composite data. Geophysical Research Letters, Volume 31, L07502, DOI: 10.1029/2003GL019385.
5.   Gitelson A.A., Kaufman J.J. (1998) MODIS NDVI Optimization To Fit the AVHRR Data Series – Spectral Considerations – pigments of photosynthetic biomembranes. Remote Sensing of Environment, no. 66, pp. 343–350.
6.   Inkilainen E.N.M., McHale M.R., Blank G.B., James A.L., Nikinmaa E. (2013) The role of the residential urban forest in regulating throughfall: A case study in Raleigh, North Carolina, USA. Landsc. Urban Plan, no. 119, pp. 91–103.
7.   Kim H., Lee D.-K., Sung S. (2012) Effect of Urban Green Spaces and Flooded Ares Type on Flooding Probability.. Sustainability, no. 8, pp. 134–151.
Citation:
Danziyev R.M., 
(2017) Research of effect of uncertainty of estimates of vegetation cover on predicted probability of flooding of urban territories upon inundation. Geodesy and cartography = Geodezia i Kartografia, (2), pp. 61-64. (In Russian). DOI: 10.22389/0016-7126-2017-920-2-61-64
Publication History
Received: 07.04.2016
Accepted: 25.07.2016
Published: 28.02.2017

Content

2017 february DOI:
10.22389/0016-7126-2017-920-2