Ignacio Aguirre's repositories
xSSA-North-America
The sensitivity of hydrologic parameters and processes across North America
AGU22_DamCams
Complementary information about the AGU2022 Poster: Augmenting traditional hydrometric observations with trail cameras to capture ecohydrological dynamics of beaver dams.
B-FED
The Beaver-Flood Event Detector (B-FED) is a Google Earth Engine script created by the Spring 2020 MA Massachusetts Water Resources team. It uses NASA Earth Observations, a MassGIS wetland polygon layer, citizen science Global Biodiversity Information Facility (GBIF) Data and remote sensing methodology to detect flooding events that are likely caused by beavers in Massachusetts, USA. The objective of this kit is to have an algorithm with conditional statements to determine for a given year if flooding, based on spectral signatures, caused by beavers has occurred. This is then filtered for a wetland layer and then inlaid with citizen science data of beaver observations from GBIF. The correlation of having flooding, along with reported beaver observations acts as a validation for the tool. B-FED is divided into three scripts: preprocessing, analysis, and visualization.
CameraTrapDetectoR
Automatically detect, count, and classify animals in camera trap images.
CameraTraps
Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.
CAR2_cartodyn
Cartographie dynamique
DEVCON_SNOW_ML
Machine Learning SWE workshop for CIROH DEVCON 2024
earthengine-workflow
Deploy Tensorflow models to Google Cloud Platform for automating predictions on Earth Engine imagery
FAIR
Finite-amplitude Impulse Response simple climate model
GHM_Comparison
Code for paper "Functional relationships reveal differences in the water cycle representation of global water models"
hydromachine-tutorials
This repository provides educational material regarding the application of Machine Learning in Hydrology.
OPG-CNN-Northern-Utah-CIROH-Workshop
This workshop offers participants an introduction to convolutional neural networks (CNNs) for their application in hydro-meteorology. The hands-on portion of the workshop focuses on customizing a CNN through hyperparameter exploration, adjusting CNN layers, and manipulating inputs.
ostrich-swmm
A toolset for connecting the OSTRICH optimization software toolkit with the SWMM simulation model.
pbhmCourse_student
Data and code for exericses in the University of Saskatchewan's graduate course in porcess-Based Hydrological Modelling.
Reservoir_area_Sentinel2
Cloud and cloud shadow masking of Sentinel 2 Images, and inundated area estiimations for reservoirs
summa
Structure for Unifying Multiple Modeling Alternatives:
summa_calib
This repository includes the SUMMA parameter estimation related codes and demos.
summa_snow_unloading_analysis
Repo for analyzing multiple canopy-snow unloading parameterizations in pySUMMA
superflexPy
SuperflexPy: The flexible language of hydrological modelling
SynopticMet
Jupyter Notebook-based labs for undergraduate synoptic meteorology courses.
Timelapse
Timelapse
uofs-comphyd.github.io
Website for computational hydrology research at the University of Saskatchewan
WaterBench
A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting
watershed_tools
Methods for creating watershed discretizations for use in hydrological modeling or analysis. Examples use the SUMMA modeling Framework.
xarray-tutorial
Xarray Tutorials