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Evaluation and Intercomparison of Topographic Correction Methods Based on Landsat Images and Simulated Data

open access: yesRemote Sensing, 2021
Topographic effects in medium and high spatial resolution remote sensing images greatly limit the application of quantitative parameter retrieval and analysis in mountainous areas.
Yichuan Ma, Tao He, Ainong Li, Sike Li
doaj   +3 more sources

Topographic Correction of the SELENE MI Images with the LOLA DEM around Shackleton Crater

open access: yesRemote Sensing, 2022
Due to the complicated terrain and extreme illumination condition in the lunar south polar region, topography has an impact on the reflectance of the area. This may result in the misinterpretation of the properties of the lunar surface.
Xiaoxue Ke   +8 more
doaj   +2 more sources

UAV-Based Estimation of Tea Leaf Area Index in Mountainous Terrain: Integrating Topographic Correction and Interpretable Machine Learning [PDF]

open access: yesSensors
Leaf Area Index (LAI) is a fundamental parameter for characterizing the growth of tea (Camellia sinensis L.). However, in rugged mountainous regions, the combined effects of topographic relief and canopy structural heterogeneity severely constrain the ...
Na Lin   +4 more
doaj   +2 more sources

Topographic Correction of LAPAN-A3/LAPAN-IPB Multispectral Image: A Comparison of Five Different Algorithms [PDF]

open access: yesQuaestiones Geographicae, 2020
Reflectance variability in mountainous regions caused by steep slopes can decrease the accuracy of landcover mapping. Topographic correction aims to reduce this effect, and various techniques have been proposed to conduct such correction on satellite ...
Zylshal Zylshal
doaj   +2 more sources

A SEMI-EMPIRICAL TOPOGRAPHIC CORRECTION MODEL FOR MULTI-SOURCE SATELLITE IMAGES [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Topographic correction of surface reflectance in rugged terrain areas is the prerequisite for the quantitative application of remote sensing in mountainous areas. Physics-based radiative transfer model can be applied to correct the topographic effect and
S. Xiao   +7 more
doaj   +3 more sources

The Effect of Topographic Correction on Forest Tree Species Classification Accuracy

open access: yesRemote Sensing, 2020
Topographic correction can reduce the influences of topographic factors and improve the accuracy of forest tree species classification when using remote-sensing data to investigate forest resources.
Chao Dong   +4 more
doaj   +2 more sources

SCSCTS: An improved SCS+C topographic correction model with shadow compensation for mountainous regions. [PDF]

open access: yesPLoS ONE
Topographic effects substantially distort surface reflectance and vegetation indices in mountainous regions, leading to systematic biases in ecological and biophysical parameter retrievals.
Xuanying Shen   +7 more
doaj   +2 more sources

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

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
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 ...
H. Adhikari   +3 more
doaj   +1 more source

TOPOGRAPHIC ASPECTS IN THE SPATIAL AND TEMPORAL DYNAMIC OF NET RADIATION [PDF]

open access: yesEngenharia Agrícola, 2017
: 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
Roberto Filgueiras   +4 more
doaj   +1 more source

IMPACT OF DIFFERENT TOPOGRAPHIC CORRECTIONS ON PREDICTION ACCURACY OF FOLIAGE PROJECTIVE COVER (FPC) IN A TOPOGRAPHICALLY COMPLEX TERRAIN [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Quantitative retrieval of land surface biological parameters (e.g. foliage projective cover [FPC] and Leaf Area Index) is crucial for forest management, ecosystem modelling, and global change monitoring applications. Currently, remote sensing is a widely
S. Ediriweera   +4 more
doaj   +1 more source

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