Probabilistic Analysis of the Spatio–Temporal Soil Saturation and Water Level Variability of the Pugllohuma Peatland Using Synthetic Aperture Radar Images of the Sentinel-1 Mission †
Abstract
:1. Introduction
2. Materials and Methods
- Generation of temporal supervised classification using R Studio.
- Imagery selection and pre-processing using Google Earth Engine.
- Generation of spatial supervised classification using Google Earth Engine.
3. Results
3.1. Extreme Climate Events
3.2. Spatio–Temporal Classification of SAR Images Time Series
3.3. Results Validation
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Carchipulla-Morales, P.D.; Zapata-Ríos, X. Probabilistic Analysis of the Spatio–Temporal Soil Saturation and Water Level Variability of the Pugllohuma Peatland Using Synthetic Aperture Radar Images of the Sentinel-1 Mission. Eng. Proc. 2021, 6, 64. https://doi.org/10.3390/I3S2021Dresden-10120
Carchipulla-Morales PD, Zapata-Ríos X. Probabilistic Analysis of the Spatio–Temporal Soil Saturation and Water Level Variability of the Pugllohuma Peatland Using Synthetic Aperture Radar Images of the Sentinel-1 Mission. Engineering Proceedings. 2021; 6(1):64. https://doi.org/10.3390/I3S2021Dresden-10120
Chicago/Turabian StyleCarchipulla-Morales, Paul David, and Xavier Zapata-Ríos. 2021. "Probabilistic Analysis of the Spatio–Temporal Soil Saturation and Water Level Variability of the Pugllohuma Peatland Using Synthetic Aperture Radar Images of the Sentinel-1 Mission" Engineering Proceedings 6, no. 1: 64. https://doi.org/10.3390/I3S2021Dresden-10120