Evaluation and parameterization of ATCOR3 topographic correction method for forest cover mapping in mountain areas

Balthazar, Vincent; Vanacker, Veerle; Lambin, Éric F.

doi:10.1016/j.jag.2012.03.010

Cited by 79 publications

(53 citation statements)

References 31 publications

(57 reference statements)

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“…Even though artifacts could be clearly observed in the SRTM DEM, it performed well in comparison to other sources of DEM, in agreement with similar previous studies (Vanonckelen et al, 2013;Balthazar et al, 2012). Most noticeably, SRTM DEM provided better R 2 in the C-correction than regional DEM based on the best topographic maps of the study area.…”

Section: Discussionsupporting

confidence: 90%

Does topographic normalization of landsat images improve fractional tree cover mapping in tropical mountains?

Adhikari

Heiskanen

Maeda

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Fractional tree cover (Fcover) is an important biophysical variable for measuring forest degradation and characterizing land cover. Recently, atmospherically corrected Landsat data have become available, providing opportunities for high-resolution mapping of forest attributes at global-scale. However, topographic correction is a pre-processing step that remains to be addressed. While several methods have been introduced for topographic correction, it is uncertain whether Fcover models based on vegetation indices are sensitive to topographic effects. Our objective was to assess the effect of topographic correction on the accuracy of Fcover modelling. The study area was located in the Eastern Arc Mountains of Kenya. We used C-correction as a digital elevation model (DEM) based correction method. We examined if predictive models based on normalized difference vegetation index (NDVI), reduced simple ratio (RSR) and tasseled cap indices (Brightness, Greenness and Wetness) are improved if using topographically corrected data. Furthermore, we evaluated how the results depend on the DEM by correcting images using available global DEM (ASTER GDEM, SRTM) and a regional DEM. Reference Fcover was obtained from wall-to-wall airborne LiDAR data. Landsat images corresponding to minimum and maximum sun elevation were analyzed. We observed that topographic correction could only improve models based on Brightness and had very small effect on the other models. Cosine of the solar incidence angle (cos i) derived from SRTM DEM showed stronger relationship with spectral bands than other DEMs. In conclusion, our results suggest that, in tropical mountains, predictive models based on common vegetation indices are not sensitive to topographic effects.

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Section: Discussionsupporting

confidence: 90%

Does topographic normalization of landsat images improve fractional tree cover mapping in tropical mountains?

Adhikari

Heiskanen

Maeda

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…The use of these sensors for large-scale monitoring of AGB dynamics, particularly in the case of multi-temporal/multi-scene analyses or unevenly-distributed atmospheric effects in single-image analyses, frequently involves the application of different atmospheric correction algorithms. Such algorithms correct distortions between or within images other than those related to real land cover differences [15][16][17][18][19].…”

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confidence: 99%

Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest Biomass Estimation Using Landsat 5 TM Data

et al. 2016

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Solar radiation is affected by absorption and emission phenomena during its downward trajectory from the Sun to the Earth's surface and during the upward trajectory detected by satellite sensors. This leads to distortion of the ground radiometric properties (reflectance) recorded by satellite images, used in this study to estimate aboveground forest biomass (AGB). Atmospherically-corrected remote sensing data can be used to estimate AGB on a global scale and with moderate effort. The objective of this study was to evaluate four atmospheric correction algorithms (for surface reflectance), ATCOR2 (Atmospheric Correction for Flat Terrain), COST (Cosine of the Sun Zenith Angle), FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes) and 6S (Second Simulation of Satellite Signal in the Solar), and one radiometric correction algorithm (for reflectance at the sensor) ToA (Apparent Reflectance at the Top of Atmosphere) to estimate AGB in temperate forest in the northeast of the state of Durango, Mexico. The AGB was estimated from Landsat 5 TM imagery and ancillary information from a digital elevation model (DEM) using the non-parametric multivariate adaptive regression splines (MARS) technique. Field reference data for the model training were collected by systematic sampling of 99 permanent forest growth and soil research sites (SPIFyS) established during the winter of 2011. The following predictor variables were identified in the MARS model: Band 7, Band 5, slope (β), Wetness Index (WI), NDVI and MSAVI2. After cross-validation, 6S was found to be the optimal model for estimating AGB (R 2 = 0.71 and RMSE = 33.5 Mg¨ha´1; 37.61% of the average stand biomass). We conclude that atmospheric and radiometric correction of satellite images can be used along with non-parametric techniques to estimate AGB with acceptable accuracy.

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“…In this way, it can be seen that the shading occurred in this region, masked the reflective characteristics of the use soil present on this surface. Balthazar et al (2012) found similar behavior in the Himalayan mountains in western Bhutan, where steep valleys are oriented perpendicular to the Sun's direction of illumination. These authors found that for these sites the images had a dark appearance, proving the effect of the topography on this region.…”

Section: It Was Verified By Means Ofmentioning

confidence: 61%

“…Several methods have been proposed to mitigate the soil topography effects have on the accuracy of the digital processes, with the use of satellite images (Balthazar et al, 2012;Kara et al, 2014;Meyer et al, 1993;Szantoi & Simonetti, 2013;Teillet et al, 1982). Among them are the Lambertian methods which consider the surface to be isotropic, and the non-Lambertian methods whose surfaces are analyzed as anisotropic.…”

Section: Introductionmentioning

confidence: 99%

Topographic Aspects in the Spatial and Temporal Dynamic of Net Radiation

et al. 2017

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ABSTRACT:The measurements obtained by remote sensing are influenced by issues related to relief. Based on that, this paper aims to analyze the spatial and temporal dynamics of the net radiation (Rn), considering the influence of topographic parameters on it, in Edgárdia Experimental Farm (FEE). It was used the methodology based on the SEBAL algorithm (Surface Energy Balance Algorithm for Land) to estimate the net radiation by orbital images. In order to assess the topographic influence on the computing of net radiation, three methodologies were applied: without topographic correction (RnSem), cosine correction (RnCos) and C correction (RnC). These methodologies were applied on 21 images of the orbital platform Landsat-5/TM, from 1985 up to 2010. Due to the complex relief of the FEE, the cosine correction did not show effectiveness on the attenuation of topographic influence. For the values of RnC, we noticed an average reduction of 5.97% for the standard deviation, relative to the images without correction. These results show the importance of considering the relief, to achieve higher accuracies on the estimation of biophysical parameters with orbital images.

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Evaluation and parameterization of ATCOR3 topographic correction method for forest cover mapping in mountain areas

Cited by 79 publications

References 31 publications

Does topographic normalization of landsat images improve fractional tree cover mapping in tropical mountains?

Does topographic normalization of landsat images improve fractional tree cover mapping in tropical mountains?

Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest Biomass Estimation Using Landsat 5 TM Data

Topographic Aspects in the Spatial and Temporal Dynamic of Net Radiation

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