Bayesian_LSP

phenology estimator

A Bayesian model for estimating annual land surface phenology from sparse remote sensing data

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.

GitHub

45 stars
5 watching
11 forks
Language: R
last commit: about 1 month ago
Linked from 1 awesome list

jagsland-surface-modelingland-surface-phenologylandsatphenologyrremote-sensing

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
eco-hydro/phenofit A package for extracting vegetation phenology from remote sensing data using machine learning and optimization techniques. 75
slacgismo/statisticalclearsky Estimates clear sky signal from PV system power data using statistical models. 30
bluegreen-labs/phenor A framework for modeling plant phenology in response to climate change 46
xavi-rp/lpdynr Calculates land productivity dynamics from Earth Observation imagery data 8
alvations/bayesline A software framework implementing a multivariate Bayesian classifier for language identification 0
remotesensinginfo/pysl4land Tools to process and analyze spaceborne lidar data from GEDI and ICESAT-2 satellites for land applications 18
jgrss/cultionet A deep learning library for image segmentation of cultivated land from satellite data 27
insarlab/pyaps A Python module that estimates differential phase delay maps from atmospheric data to correct radar interferograms. 64
akamoske/canopylazr Provides a set of functions to estimate forest structural attributes from airborne LiDAR point clouds 34
christophmark/bayesloop A framework for fitting time series models with changing parameters and selecting the best model using Bayesian inference 156
r-spatialecology/landscapemetrics A software package that enables reproducible landscape analysis using categorical map patterns in R. 232
clima/land A community-developed land surface model combining remote sensing data with ground-based flux measurements. 98
philwilkes/forestlas Tools and methods for analyzing airborne LiDAR data to quantify forest vertical structure 20
robintw/pyprosail Provides an interface to the ProSAIL combined leaf and canopy optical model using Python 23
reginalexavier/openland An R package for analyzing land use and cover change, providing tools for visualization and intensity analysis of time series data. 21