sibargabus

sibargabus's Stars

• langnico/global-canopy-height-model

  This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

  Language:Python13028

• zhaoyutim/palsar_gedi_agb

  Wall-to-Wall Above-ground Biomass Estimation with ALOS-2 PALSAR-2 L-Band SAR Data and GEDI

  Language:Python183

• aliceziegler/GediEngineR

  Workflow to model GEDI PAI with Google Earth Engine and R

  Language:R72

• evetion/SpaceLiDAR.jl

  A Julia package for working with ICESat-2 & GEDI data as part of my PhD research

  Language:Julia234

• remotesensinginfo/pysl4land

  Python tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications

  Language:Python188

• IGSA-SICCS/GEDI_workshop

  Language:HTML56

• aestovall/GEDI_processing

  Processing pipeline for downloading, analyzing, and gridding GEDI data

  Language:HTML85

• nasa/GEDI-Data-Resources

  This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Global Ecosystem Dynamics Investigation (GEDI) mission.

  Language:Jupyter Notebook5021

• SlideRuleEarth/sliderule-python

  SlideRule Earth Example Notebooks: On-demand, cloud-based processing of satellite mission data (NASA ICESat-2, GEDI, ArcticDEM/REMA, HLS)

  Language:Shell4121

• langnico/GEDI-BDL

  This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

  Language:Python6126

• EduinHSERNA/pyGEDI

  pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

  Language:Jupyter Notebook8941

• carlos-alberto-silva/rGEDI

  rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.

  Language:R15767

• fitoprincipe/pygeeltr

  LandTrendr using the Python API of Google Earth Engine

  Language:Python155

• GAMES-UChile/mogptk

  Multi-Output Gaussian Process Toolkit

  Language:Python16142

• diku-dk/bfast

  GPU Implementation for BFAST

  Language:Python3716

• bfast2/geeBfastMonitor

  Google Earth Engine implementation of the popular R bfast package

  Language:JavaScript6928

• loicdtx/bfastSpatial

  Set of utilities and wrappers to perform change detection on satellite image time-series (Landsat and MODIS). Includes pre-processing steps and functions for spatial implementation of bfastmonitor change detection and post processing of the results.

  Language:R9339