Abstract
ABSTRACTUnderstanding and assessing the landslides is immensely important to scientists and policy-makers alike. Remote sensing conventional methods and modelling approaches in geographical information system (GIS) tend to be limited to authentic quality and spatial coverage. This study aims to identify challenges and quality of landslides assessment based on remotely sensed data by the mean of existing works of the literature and practices we attempted in the Zagros and Alborz Mountains in Iran and the red rock shield Lake, China. Remote sensing data for landslides investigations require a high-resolution digital elevation model (DEM) from either aerial photography, satellite images, airborne laser scanning (ALS) or terrestrial Light Detection and Ranging (LiDAR) derived in order to enable a reliable and valid output performance. This paper presents weaknesses and strengths of the existing remote sensing techniques in the last decades and further provides recommendations for a reliable approach to the future landslide studies. Also, this study estimates the operational use of state-of-the-art technologies (i.e. unmanned airborne vehicle (UAV)) for landslides assessment in the near future that is a realistic ambition if we can continue to build on recent achievements. However, this paper does not deliver a detailed methodology of a DEM generation from the remote sensing approach for landslides assessment.
Highlights
Disasters triggered by natural hazards are an unparalleled threat to sustainable development
This study has not explored and discussed the detailed landslide methodologies, it shows that perhaps, photogrammetric techniques and aerial photographs promise to be more efficient than Light Detection and Ranging (LiDAR) for discerning boundaries of recently active landslides within landslide complexes for an active tectonic region such as Zagros and Alborz Mountains in Iran
LiDAR on board unmanned airborne vehicle (UAV) may be the future direction of delivering a suitable remote sensing approach to generate a high-resolution digital elevation model (DEM), if geomatecians can reach an agreement with decision and policymakers to update the regulations of the country, because we imagine that UAV has a promising potential to provide the invaluable complementary source of data with a high-resolution pixel size at local to global scales and it is undergoing rapid developments
Summary
Disasters triggered by natural hazards are an unparalleled threat to sustainable development. Definition of the landslide is diverse and reflects the complex nature of various disciplines, such as geology, geomorphology and soil engineering (Highland et al 2008; Jebur et al 2014). We consider landslides as a general term, and it uses to describe the downslope movement of soil and rock under the effects of gravity (Cruden 1991). Remote sensing technologies such as Light Detection and Ranging (LiDAR) provide advanced products and tools that support these efforts. Landslide investigations involve several qualitative or quantitative approaches and are discussed in many scholarly research papers
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