ijaguirre Goto Github PK
Name: Ignacio Aguirre
Type: User
Location: Calgary, AB
Name: Ignacio Aguirre
Type: User
Location: Calgary, AB
Coupling SWMM MODFLOW with Llanquihue as Case Study
Complementary information about the AGU2022 Poster: Augmenting traditional hydrometric observations with trail cameras to capture ecohydrological dynamics of beaver dams.
A curated list of Google Earth Engine resources
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.
Matlab code for Climate Change and Terrestrial Ecosystem Modeling
Automatically detect, count, and classify animals in camera trap images.
Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.
Cartographie dynamique
applications of causal inference and machine learning on earth system
A JavaScript Project Checklist
Shapefiles 2017 Chile Census
CLM-ml_v1 source code
Code for paper "Deep learning convolutional neural network in rainfall–runoff modelling"
Data undertaken for before and after hydrological impacts of beaver as detailed in Puttock et al (In Prep) Beaver dams attenuate floods: a multi-site, multi-scale study
countries_test
SUMMA and pysumma setups and notebook for the CUAHSI Virtual University snow modeling course
Google Earth Engine para el monitoreo del uso y cobertura del suelo de la República Argentina
Machine Learning SWE workshop for CIROH DEVCON 2024
Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.
Python and JavaScript bindings for calling the Earth Engine API.
Deploy Tensorflow models to Google Cloud Platform for automating predictions on Earth Engine imagery
Conviertete en un especialista en Google Earth Engine
Simplistic conversion of earthengine JavaScript to Python syntax.
日常杂记
Excel+Python for reservoir simulation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.