Landslide Identification and Information Extraction Based on Optical and Multispectral UAV Remote Sensing Imagery

International Symposium on Earth Observation for One Belt and One Road

地球科学;政治学;社会学;经济学

Lin, Jiayuan^1,2 ; Wang, Meimei^1 ; Yang, Jia^1 ; Yang, Qingxia^3

Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu

610041, China^1

Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu

610225, China^2

Jiuzhaigou Administration Bureau, Jiuzhaigou County, Aba Prefecture, Sichuan

623402, China^3

关键词: Field observations;    Landslide identification;    Multi-spectral cameras;    Natural disasters;    Three dimensional terrain;    Typical landslide;    UAV remote sensing;    Wenchuan Earthquake;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/57/1/012017/pdf
DOI  :  10.1088/1755-1315/57/1/012017

来源: IOP

【 摘 要 】

Landslide is one of the most serious natural disasters which caused enormous economic losses and casualties in the world. Fast and accurate identification of newly occurred landslide and extraction of relevant information are the premise and foundation for landslide disaster assessment and relief. As the places where landslides occur are often inaccessible for field observation because of the temporary failure in transportation and communication. Therefore, UAV remote sensing can be adopted to collect landslide information efficiently and quickly with the advantages of low cost, flexible launch and landing, safety, under-cloud-flying, and hyperspatial image resolution. Newly occurred landslides are usually accompanied with those phenomena such as vegetation burying and bedrock or bare soil exposure, which can be easily detected in optical or multispectral UAV images. By taking one typical landslide occurred in Wenchuan Earthquake stricken area in 2010 as an example, this paper demonstrates the process of integration of multispectral camera with UAV platform, NDVI generation with multispectral UAV images, three-dimensional terrain and orthophoto generation with optical UAV images, and identification and extraction of landslide information such as its location, impacted area, and earthwork volume.