The Detection of Active Sinkholes by Airborne Differential LiDAR DEMs and InSAR Cloud Computing Tools

Autor: Jorge Sevil, Jesús Guerrero, G. Desir, Jorge Pedro Galve, Francisco Gutiérrez, Ángel García Arnay, Cristina Reyes-Carmona
Rok vydání: 2021
Předmět:
Zdroj: Digibug. Repositorio Institucional de la Universidad de Granada
instname
Zaguán. Repositorio Digital de la Universidad de Zaragoza
Remote Sensing, Vol 13, Iss 3261, p 3261 (2021)
Remote Sensing; Volume 13; Issue 16; Pages: 3261
ISSN: 2072-4292
DOI: 10.3390/rs13163261
Popis: This research has been supported by MINISTERIO DE CIENCIA, INNOVACIoN Y UNIVERSIDADES, GOBIERNO DE ESPAnA, project CGL2017-85045-P. We thank Terradue and the ESA Network of Resources (NoR) sponsorship for providing access to the Geohazards Exploitation Platform (GEP), for InSAR cloud processing. J.S. has a pre-doctoral contract cofinanced by the Spanish Government and the European Social Fund.
InSAR (Interferometric Synthetic Aperture Radar) cloud computing and the subtraction of LiDAR (Light Detection and Ranging) DEMs (Digital Elevation Models) are innovative approaches to detect subsidence in karst areas. InSAR cloud computing allows for analyzing C-band Envisat and Sentinel S1 SAR images through web platforms to produce displacement maps of the Earth's surface in an easy manner. The subtraction of serial LiDAR DEMs results in the same product but with a different level of accuracy and precision than InSAR maps. Here, we analyze the capability of these products to detect active sinkholes in the mantled evaporite karst of the Ebro Valley (NE Spain). We found that the capability of the displacement maps produced with open access, high-resolution airborne LiDAR DEMs was up to four times higher than InSAR displacement maps generated by the Geohazard Exploitation Platform (GEP). Differential LiDAR maps provide accurate information about the location, active sectors, maximum subsidence rate and growing trend of the most rapid and damaging sinkholes. Unfortunately, artifacts and the subsidence detection limit established at -4 cm/yr entailed important limitations in the precise mapping of the sinkhole edges and the detection of slow-moving sinkholes and small collapses. Although InSAR maps provided by GEP show a worse performance when identifying active sinkholes, in some cases they can serve as a complementary technique to overcome LiDAR limitations in urban areas.
MINISTERIO DE CIENCIA, INNOVACIoN Y UNIVERSIDADES, GOBIERNO DE ESPAnA CGL2017-85045-P
Terradue and the ESA Network of Resources (NoR) sponsorship
Spanish Government European Commission
European Social Fund (ESF)
Databáze: OpenAIRE