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Spatial Modeling of Maximum Capacity Values of Rainfall Retention by Vegetation
Cover (A New Approach for Hydrological Applications)
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Amir Hossein Parsamehr  , Ali Salajegheh * , Shahram Khalighi Sigaroodi , Khaled Ahmadaali |
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Abstract: (2337 Views) |
The maximum canopy storage capacity is an important parameter in hydrological models. The aim of the
present study, which was conducted in a region of Fars province, was to model the maximum canopy storage
capacity for storing rainfall. Therefore, the parameters of leaf area index and branch area index were used
as a pattern of the vertical distribution of canopy. Additionally, the ability of 10 vegetation indices produced
from narrow- red edge bands compared to 10 vegetation indices produced from broad bands that resulted
from Sentinel-2 satellite imagery in estimating branch and leaf area indices was investigated. Subsequently,
using sampling in autumn and spring seasons, laboratory results and regression models, maps of maximum
canopy storage capacity were drawn for these seasons. The results showed that the CIRE index, which was
produced from narrow- red edge bands, was able to estimate both branch area index )R2=0.74) and leaf area
index )R2=0.92) values very well and was the best index. Additionally, the modeling results of maximum
canopy storage capacity showed that this capacity varied from zero to 1.32 mm per pixel in autumn and
from zero to 1.74 mm per pixel in spring.
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| Keywords: Hydrological modelling, Maximum canopy storage capacity, Sentinel-2 image, Vegetation
index. |
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Full-Text [PDF 2221 kb]
(625 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2023/09/26 | Revised: 2023/10/3 | Accepted: 2023/09/11 | Published: 2023/09/11 | ePublished: 2023/09/11
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