zhang-beichen / XAI_Drought_Impacts
Explainable Machine Learning Applications to Predict and Assess Complex Drought Impacts
☆9Updated last year
Alternatives and similar repositories for XAI_Drought_Impacts:
Users that are interested in XAI_Drought_Impacts are comparing it to the libraries listed below
- ☆11Updated last year
- Using the Google Earth Engine (GEE) cloud platform, the Standardised Precipitation Index (SPI), the Soil Moisture Index (SMI), and the Ve…☆14Updated 2 years ago
- Course materials for EDS 220 "Remote Sensing and Environmental Data", at the University of California, Santa Barbara, offered in Fall 202…☆13Updated 3 years ago
- Paper scripts for O and Park (Nature Commun. Earth Environ, 2024)☆10Updated last year
- Intro course for research with QGIS and Google Earth Engine☆11Updated 2 years ago
- Using knowledge-guided machine learning to assess patterns of areal change in waterbodies across the contiguous US☆10Updated last year
- predicting vegetation health from precipitation and temperature☆12Updated 5 years ago
- A method of estimating transpiration directly from carbon, water, and energy fluxes, such as eddy covariance datasets☆13Updated last year
- CMIP6 climate data extraction and treatment by multi-polygon shapefile using ESGF NetCDF and WORLDCLIM datasets☆10Updated 3 years ago
- Earth Engine PT-JPL ET Model☆14Updated 3 weeks ago
- Water color classification and optimization based on hyper/multispectral reflectances.☆11Updated 3 years ago
- Materials for OpenGeoHub summer school 2020 tutorial on "Creating and Analyzing Multi-Variable Earth Observation Data Cubes in R"☆9Updated 4 years ago
- Trajectory analysis software, that produces time height cross sections with residencte time clustered by surface type.☆10Updated 6 months ago
- This repository contains the scripts used to prepare and run CASA (The Carnegie-Ames-Stanford Approach) terrestrial carbon cycle model.☆10Updated 7 months ago
- Priestley-Taylor Jet Propulsion Laboratory Evapotranspiration Code for 1-dimensional implementation☆13Updated last year
- Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences☆14Updated 2 years ago
- This is a R pacakage to indentify flash droughts with different methods☆14Updated last year
- Codes for Super-Resolution Deep Neural Networks for Water Classification from Free Multispectral Satellite Imagery☆10Updated last year
- ☆10Updated 2 years ago
- Linear Regression for data set with correlated or uncorrelated uncertainties in both axes.☆11Updated this week
- This is a program that uses multi-source remote sensing data to monitor the dynamic changes of lakes.☆11Updated 2 years ago
- This course introduces beginners to Google Earth Engine using Python in Google Colab. Explore remote sensing, process geospatial data, cr…☆13Updated this week
- spatiotemporal exploratory model in Python☆10Updated 6 years ago
- Multi-temporal land cover maps with a Hidden Markov Model☆14Updated 3 years ago
- Implementation of HySPLIT based trajectory modeling and analysis in python.☆6Updated 8 months ago
- Partitioning eddy covariance ET using optimal approaches☆9Updated 5 years ago
- One stop-shop for matplotlib based visualizations☆10Updated last year
- codes for reproducing the results presented in the manuscript by Xia et al.☆10Updated 2 years ago
- ☆11Updated 2 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago