jieluoybfq Goto Github PK
Type: User
Type: User
博士阶段相关报告
We will be using the rasterio and GDAL python libraries to acquire landsat_8 satellite images from AWS and process them.
Working with image data, extract information, and perform basic operations and transformations
6S with CMake files
Atmospheric correction in Python using a 6S emulator
Official implement of Paper:A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images
This algorithm can be used to compute the scattering cross-sections of spherical particles having a probability density as a function of it's parameters
Absorbing aerosol index simulator based on radiative transfer model
Anlysis of aerosol-cloud interactions in the Aral Sea Basin based on MODIS Earth Observation data
Aerosol Cloud Retrieval Simulator setup
Academic Consultancy Project for EagleSensing. Remote Sensing and GIS Integration course, Period 6, 2016-2017. Rodrigo Almeida, Maya Situnayake, Kees Baake, Mortimer Werther, Timon Weitkamp, Arnan Araza.
The code for Silva et al. "Physically Regularized Machine Learning Emulators of Aerosol Activation"
Standalone version of the sectional stratospheric aerosol model
Aerosol Optical Depth Comparison Tool
Aerosol Optical Depth Statistical Analysis
气溶胶反演
aerosol retrieval using MISR
Multiple instance regression of aerosol optical depth based on NASA's multispectral imaging data.
Using energy budget constraints to estimate historical aerosol forcing
Aerosol concentration modeling based on satellite data
Code for the paper: "Neural Network for Aerosol Retrieval from Hyperspectral Imagery" available at: https://www.atmos-meas-tech-discuss.net/amt-2019-228/
Replication materials for Zheng, Davis, Persad & Caldeira (under review), Climate effects of aerosols reduce economic inequality
AEROSOL REMOTE SENSING practical for MAQ11306 Air Quality @ Wageningen University
Using machine learning to recover air quality data from remote sensing datasets.
This repository contain a set of Python and Shell files to extract Aerosol Optical Depth data from VIIRS, MODIS, and AERONET data set.
An application based on python and Scikit-Learn to restore Aqua MODIS Band 06 missing pixels.
A Matlab codebase to analyze TEM images of soot, which includes new methods associated with this project and a compilation of other pre-existing methods.
Atmospheric correction with Py6S and MODIS data
Simultaneous estimation of surface reflectance and aerosol optical depth
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.