Don De Alban (dondealban)

dondealban

Geek Repo

Company:ClearWind

Location:Singapore

Home Page:https://dondealban.netlify.com

Twitter:@dondealban

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Don De Alban's repositories

Rbeast

Bayesian Change-Point Detection and Time Series Decomposition

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allometric

A native R package of allometric equations for trees.

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AreaEstimator3I3DGEE

A forest disturbance area estimator using 3I3D-GEE outputs

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awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

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Company-Analysis-Model

Documentation behind the model used to analyse companies in Simply Wall St

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diffeR

diffeR R package

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dinosar

tools for InSAR processing on AWS

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dondealban

Personal website using Hugo, R blogdown, and Netlify

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Earth-Obs-Py

This repo contains interactive code examples from the 2021 book "Earth Observation Using Python."

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gee-ccdc-tools

Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm

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geebook

Geospatial Data Science with Earth Engine and Geemap

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geocompr

Open source book: Geocomputation with R

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isce2

InSAR Scientific Computing Environment version 2

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isce2-docs

Documents and tutorials for isce2

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isce3

InSAR Scientific Computing Environment ***NOTICE - THIS REPOSITORY IS CURRENTLY A MIRROR OF AN INTERNALLY HOSTED PROJECT. EXTERNAL PULL REQUESTS ARE NOT CURRENTLY BEING ACCEPTED.***

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landscapen

Repo for tools to calculate landscape metrics in Google Earth Engine

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LiCSBAS

LiCSBAS package to carry out InSAR time series analysis using LiCSAR products

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LT-ChangeDB

Scripts to extract spectral change information from LandTrendr data to a geodatabase

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metaDigitise

Digitising functions in R for extracting data and summary statistics from figures in primary research papers

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MintPy

Miami InSAR time-series software in Python

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Regression-Analysis-with-R

Regression Analysis with R, published by Packt

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rGEDI

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

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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STRbook

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

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