dondealban
Research interests: land change science; remote sensing; machine learning; species distribution modeling; land change simulation; text mining and analysis.
EcoCaragaSingapore
Pinned Repositories
isprs-sc-summer-school
Lecture materials and resources for ISPRS Student Consortium Summer School 2018.
learning-intensity-analysis
Learning the Intensity Analysis framework (Aldwaik & Pontius 2012) using the intensity.analysis R package implementation.
learning-spatio-temporal-modeling
Learning Spatio-Temporal Statistics with R book using the STRbook package.
learning-stm
Learning structural topic modeling using the stm R package.
ms-remote-sens-2018
Materials for 2018 Tanintharyi land cover change analysis paper (De Alban et al. 2018. Remote Sensing).
ms-sustainability-2019
Materials for 2019 Tanintharyi land-cover regime shift paper (De Alban et al. 2019. Sustainability).
myanmar
Understanding land-system change in Myanmar.
sar-agb-modeling
Modeling SAR backscatter and forest AGB relationships.
tutorial-qgis-maxent
A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.
upd-coe-thesis-template
LaTeX version of graduate thesis manuscript template of College of Engineering, University of the Philippines Diliman.
dondealban's Repositories
dondealban/Rbeast
Bayesian Change-Point Detection and Time Series Decomposition
dondealban/allometric
A native R package of allometric equations for trees.
dondealban/AngleCAM
dondealban/AreaEstimator3I3DGEE
A forest disturbance area estimator using 3I3D-GEE outputs
dondealban/awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
dondealban/citationchaser
dondealban/Company-Analysis-Model
Documentation behind the model used to analyse companies in Simply Wall St
dondealban/diffeR
diffeR R package
dondealban/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
dondealban/dondealban
Personal website using Hugo, R blogdown, and Netlify
dondealban/gee-ccdc-tools
Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm
dondealban/geebook
Geospatial Data Science with Earth Engine and Geemap
dondealban/geocompr
Open source book: Geocomputation with R
dondealban/HighResCanopyHeight
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
dondealban/IGIK_Sentinel2-Data-and-Vegetation-Indices
dondealban/isce2
InSAR Scientific Computing Environment version 2
dondealban/isce2-docs
Documents and tutorials for isce2
dondealban/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.***
dondealban/landscapen
Repo for tools to calculate landscape metrics in Google Earth Engine
dondealban/LiCSBAS
LiCSBAS package to carry out InSAR time series analysis using LiCSAR products
dondealban/metaDigitise
Digitising functions in R for extracting data and summary statistics from figures in primary research papers
dondealban/MintPy
Miami InSAR time-series software in Python
dondealban/Regression-Analysis-with-R
Regression Analysis with R, published by Packt
dondealban/rGEDI
rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
dondealban/rTLsDeep
dondealban/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
dondealban/STRbook
Supplementary package for "Spatio-Temporal Statistics with R" by C.K. Wikle, A. Zammit-Mangion, and N. Cressie
dondealban/TLS2trees
dondealban/UDef-ARP
UDef-ARP was developed by Clark Labs, in collaboration with TerraCarbon, to facilitate implementation of the Verra tool, VT0007 Unplanned Deforestation Allocation (UDef-A).
dondealban/weblidar-treetop