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3-pg2py

3-PG2Py is a pure Python version of 3-PG2.

bayesian_lsp

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse 30 m Landsat time series.

ccdc

Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.

dacc

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

gee_pml

Penman-Monteith-Leuning Evapotranspiration in GEE

geesebal

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.

landsat-lai

Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

spatial_pre2021

This repo has been archived. The latest version of the GIS and Spatial Analysis online book is at https://github.com/mgimond/Spatial

standard-readme

A standard style for README files

strbook

Supplementary package for "Spatio-Temporal Statistics with R" by C.K. Wikle, A. Zammit-Mangion, and N. Cressie