The Shadow Effect on Surface Biophysical Variables Derived from Remote Sensing:A Review

Alavipanah, Seyed Kazem and Karimi Firozjaei, Mohammad and Sedighi, Amir and Fathololoumi, Solmaz and Zare Naghadehi, Saeid and Saleh, Samiraalsadat and Naghdizadegan, Maryam and Gomeh, Zinat and Arsanjani, Jamal Jokar and Makki, Mohsen and Qureshi, Salman and Weng, Qihao and Haase, Dagmar and Pradhan, Biswajeet and Biswas, Asim and M. Atkinson, Peter (2022) The Shadow Effect on Surface Biophysical Variables Derived from Remote Sensing:A Review. Land, 11 (11). ISSN 2073-445X

Full text not available from this repository.


In remote sensing (RS), shadows play an important role, commonly affecting the quality of data recorded by remote sensors. It is, therefore, of the utmost importance to detect and model the shadow effect in RS data as well as the information that is obtained from them, particularly when the data are to be used in further environmental studies. Shadows can generally be categorized into four types based on their sources: cloud shadows, topographic shadows, urban shadows, and a combination of these. The main objective of this study was to review the recent literature on the shadow effect in remote sensing. A systematic literature review was employed to evaluate studies published since 1975. Various studies demonstrated that shadows influence significantly the estimation of various properties by remote sensing. These properties include vegetation, impervious surfaces, water, snow, albedo, soil moisture, evapotranspiration, and land surface temperature. It should be noted that shadows also affect the outputs of remote sensing processes such as spectral indices, urban heat islands, and land use/cover maps. The effect of shadows on the extracted information is a function of the sensor–target–solar geometry, overpass time, and the spatial resolution of the satellite sensor imagery. Meanwhile, modeling the effect of shadow and applying appropriate strategies to reduce its impacts on various environmental and surface biophysical variables is associated with many challenges. However, some studies have made use of shadows and extracted valuable information from them. An overview of the proposed methods for identifying and removing the shadow effect is presented.

Item Type:
Journal Article
Journal or Publication Title:
ID Code:
Deposited By:
Deposited On:
20 Jan 2023 14:25
Last Modified:
20 Sep 2023 01:56