The effect of atmospheric correction methods on the relationship between vegetation indices and canopy cover (Case study: Marjan rangelands of Borujen)

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Pordel Fatemeh; EBRAHIMI ATAOLLAH; AZIZI ZAHRA

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Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2019 | Volume:7 | Issue:2 Page(s): 133-153

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Title

The effect of atmospheric correction methods on the relationship between vegetation indices and canopy cover (Case study: Marjan rangelands of Borujen)

Author(s)

Pordel Fatemeh | EBRAHIMI ATAOLLAH | AZIZI ZAHRA | Issue Writer Certificate

Keywords

Vegetation indicesQ2

Atmospheric correctionQ1

Radiometric NormalizationQ1

Image calibrationQ1

Abstract

Atmospheric correction of satellite images is important when Vegetation indices are used to monitor changes. In this study, four methods of Atmospheric correction were evaluated and validated using Vegetation indices for monitoring vegetation. For this purpose, vegetation cover was measured at 19 points at intervals of 400-1000 m along a 10 km transect with 5 quadrats per point (95 quadrats in each period and 380 quadrats in total). Then, the synchronous images to the sampling dates in four correction methods including 1) QUick Atmospheric correction (QUAC) 2) Fast Line-of-sight Atmospheric Analysis of Hypercubes (FLAASH) 3) Image Normalization of Iteratively Reweighted Multivariate Alteration Detection (IR-MAD) and 4) converting of digital numbers to Top-Of-Atmospher (TOA) reflectance techniques were applied. After that, Normalized Diffrences Vegetation Indx (NDVI) and Atmospheric Resistant Vegetation Indx (ARVI) were calculated. Next, the validation of linear regression models for the relationship between vegetation cover and Vegetation indices with the two aforementioned Vegetation indices was carried out based on 33 percent of testing data. Correlation coefficient (R) and R-squared (R2), Root Mean Square Error (RMSE), Absolute Mean Error (AME) and Bias were calculated as validity measures for each method. After achieving the best correction method, 10 other Vegetation indices were calculated in addition to the two mentioned indices. Finally, after finding the best canopy estimation model, a vegetation canopy map was depicted for four time periods. Validation results showed that the FLAASH method is a superlative method in comparison to the other methods of QUAC, IRMAD and TOAin terms of RMSE and R. The R value was 0. 61, 0. 37, 0. 2 and 0. 57 for ARVI and 0. 54, 0. 39, 0. 21 and 0. 56 for NDVI, respectively. In addition, RMSE values were 0. 77, 0. 97, 1. 13 and 0. 8 for ARVI and 0. 83, 0. 96, 1. 12 and 0. 81 for NDVI, respectively. The vegetation canopy maps show the spatial heterogeneity of canopy cover in Marjan rangeland and its capability of estimating and monitoring the canopy cover of rangeland vegetation at different seasons using the developed model. canopy cover in Marjan rangeland and its capability of estimating and monitoring the canopy cover of rangeland vegetation at different seasons using the developed model.

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APA: Copy

Pordel, Fatemeh, EBRAHIMI, ATAOLLAH, & AZIZI, ZAHRA. (2019). The effect of atmospheric correction methods on the relationship between vegetation indices and canopy cover (Case study: Marjan rangelands of Borujen). ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 7(2 ), 133-153. SID. https://sid.ir/paper/230126/en

Vancouver: Copy

Pordel Fatemeh, EBRAHIMI ATAOLLAH, AZIZI ZAHRA. The effect of atmospheric correction methods on the relationship between vegetation indices and canopy cover (Case study: Marjan rangelands of Borujen). ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2019;7(2 ):133-153. Available from: https://sid.ir/paper/230126/en

IEEE: Copy

Fatemeh Pordel, ATAOLLAH EBRAHIMI, and ZAHRA AZIZI, “The effect of atmospheric correction methods on the relationship between vegetation indices and canopy cover (Case study: Marjan rangelands of Borujen),” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 7, no. 2 , pp. 133–153, 2019, [Online]. Available: https://sid.ir/paper/230126/en

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