Pinned Repositories
agriwater
an R package for energy balance and actual evapotranspiration retrieving using satellite images and agrometeorological data
Biome-BGC
Biome-BGC ecophysiological model
fluxpart
Python module for partitioning eddy covariance flux measurements.
geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium
leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
OzFluxQC
Repository for the OzFluxQC code
RBBGCMuso
RBBGCMuso is a software package that supports the application of the Biome-BGCMuSo biogeochemical model.
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
streamlit-template-zsw
Streamlit demo
whitebox
A Python package for advanced geospatial data analysis
zswimau's Repositories
zswimau/leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
zswimau/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
zswimau/streamlit-template-zsw
Streamlit demo
zswimau/datagear
数据可视化分析平台，使用Java语言开发，采用浏览器/服务器架构，支持SQL、CSV、Excel、HTTP接口、JSON等多种数据源
zswimau/DL4ES
zswimau/ee_BioNet
The Google Earth Engine implementation of the BioNet algorithm to estimate biophysical parameters along with their uncertainties.
zswimau/empirical_grassland_pheno_model
zswimau/eo-learn
Earth observation processing framework for machine learning in Python
zswimau/geeSEBAL
A new open source and web tool to estimate actual ET based on SEBAL model.
zswimau/jetlinks-community
JetLinks 基于Java8,Spring Boot 2.x ,WebFlux,Netty,Vert.x,Reactor等开发, 是一个全响应式的企业级物联网平台。支持统一物模型管理,多种设备,多种厂家,统一管理。统一设备连接管理,多协议适配(TCP,MQTT,UDP,CoAP,HTTP等),屏蔽网络编程复杂性,灵活接入不同厂家不同协议等设备。实时数据处理,设备告警,消息通知,数据转发。地理位置,数据可视化等。能帮助你快速建立物联网相关业务系统。
zswimau/jetlinks-ui-antd
jetlinks community ant design 演示地址：http://demo.jetlinks.cn 账号/密码: test/test123456
zswimau/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
zswimau/kNDVI
Kernel vegetation indices and the kernel NDVI
zswimau/L7
🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis framework which relies on Mapbox GL or AMap to render basemaps.
zswimau/Landsat_SMW_LST
Land Surface Temperature from Landsat on Google Earth Engine
zswimau/LiCSAlert
Volcano monitoring using Sentinel-1 InSAR data
zswimau/openair
Tools for air quality data analysis
zswimau/paper_SciData2021_SoMo_v1
Paper scripts for O and Orth (Scientific Data, 2021)
zswimau/phenor
A phenology modelling framework in R
zswimau/python-vegindex
Python package to generate vegetation index timeseries from PhenoCam images.
zswimau/pyTSEB
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
zswimau/RMEP
Maximum Entropy Production (MEP) model by R package.
zswimau/sentinelhub-js
Download and process satellite imagery in JavaScript or TypeScript using Sentinel Hub services.
zswimau/sentinelhub-py
Download and process satellite imagery in Python using Sentinel Hub services.
zswimau/streamlit-template
A streamlit app template based on streamlit-option-menu
zswimau/streamlit-template-master
zswimau/StressNet
Ecosystem-scale transpiration stress formulation using deep learning
zswimau/SWAT
A unofficial collection of SWAT (Soil & Water Assessment Tool) code from official historical releases and scientific community.
zswimau/Visual-HEIFLOW
Visual HEIFLOW (VHF) is a comprehensive graphical modeling environment for integrated hydrological modeling.
zswimau/WatNet
A deep learning model for surface water mapping based on satellite optical image.