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Name: Aristyo Wijaya
Type: User
Company: Bandung Institute of Technology, Indonesia
Bio: A beginner of Google Earth Engine
Name: Aristyo Wijaya
Type: User
Company: Bandung Institute of Technology, Indonesia
Bio: A beginner of Google Earth Engine
Modeling structure fire risk to inform fire inspections
A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population
Exploratory data and deployed heroku API for a wildfire classification model that consumes the MODIS collection from NASA FIRMS.
A Model for the Early-Detection of Forest-Fires
Predicting the magnitude of area affected by Forest Fire
Forest Fire Prediction using various regression models
Google Earth Engine practice
Conversions of GAMS CGE models to python pyomo.
Google Earth Engine scripts that takes points entered by the user (point-clicking on the map or loading gps coordinate), creates a buffer around each point and computes annual forest cover losses and gains for each area.
Google Earth Engine Tools (scripts)
Jupyter notebooks to post-process fire danger data using R or Python/xarray
Using Google Earth Engine to investigate tree diseases
Hands-on Python for Finance published by Packt.
A curated list of applied machine learning and data science notebooks and libraries across different industries.
A small package for calculating the Keech-Byram Drought Index (KBDI) and McArthur's Forest Fire Danger Index (FFDI)
Applying LSTM on river water level data
Jupyter notebooks using models like SEIR to predict COVID-19 spread
疫情数据爬虫,2019新型冠状病毒数据仓库,轨迹数据,同乘数据,报道
A Jupyter notebook with international COVID-19 outbreak modeling. Use it to get started with your own analysis!
Penman-Monteith-Leuning Evapotranspiration in GEE
A python CGE general equilibrium solver to replace GAMS in appropriate problems
Drought indices calculation using Google Earth Engine
Environmental Predictors Generated from Google Earth Engine for Developing Species Distribution Models
SMOKE Policy Tool: Model and project the impact of Indonesian fires on public health in Equatorial Asia for 2005-2029 based on land use/ land cover classification, GFEDv4s fire emissions, and meteorology in Google Earth Engine
Using machine learning and Google Earth Engine to map Aquaculture.
This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision Trees, Random Forests, Simple Deep Neural Network ( Keras with Tensorflow backend)
Jupyter Notebook and Python business intelligence tools and techniques. [Raw upload]
Forest fires prediction model from satellite images. An application made for UPES Hackathon 2.0.
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.