학술논문

Mapping Antimony Concentration over Geothermal Areas Using Hyperspectral and Thermal Remote Sensing
Document Type
Conference
Source
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2020 - 2020 IEEE International. :1086-1089 Sep, 2020
Subject
Aerospace
Computing and Processing
Geoscience
Photonics and Electrooptics
Signal Processing and Analysis
Hyperspectral imaging
Vegetation mapping
Indexes
Antimony
Principal component analysis
Monitoring
Predictive models
geothermal
hyperspectral imaging
thermal imaging
partial least squares
Language
ISSN
2153-7003
Abstract
Some geothermal areas are largely covered by vegetation, making exploration and monitoring a difficult and expensive task. Therefore, looking for pathfinders/proxies in typical vegetation cover could reveal information from the hydrogeological system remotely. Buffering is a commonly used proximity technique for spatial analyses in remote sensing. Aiding to reduce the possible inaccuracies of geolocation. Variable distance isotropic buffers were utilized to extract data from a combination of different spectral images covering Waiotapu Geothermal Field in New Zealand. Correlating them with the antimony concentration of sampled kanuka plants in the Field, through a PLSR (Partial Least Squares Regression).