Alber Sánchez

docker_scidb. Dockerize SciDB

georef. Historic map geo-referencing hml + javascript

deforestation-sentinel2. R

RoughSetKnowledgeReduction. Simplify decision tables using Rough Set Theory

amazonGreenUp2005. Reproduction of the computations on the article "Amazon Forest Green-Up During 2005 Drought"

scidbutil. R util functions for SciDB array database to handle imagery

prioritizedeforestationhotspots. A method for prioritizing deforestation hotspots to support law enforcement actions in the Brazilian Amazon.

modis2scidb. Python scripts for uploading MODIS images to SciDB

dotconfig. Shell

rsstd. R scripts for the figures and examples from the book: STATISTICS FOR SPATIO-TEMPORAL DATA by Cressie and Wikle 2011. No relationship with the authors neither the publishers

rwtss. R client for WTSS service

prodes2scidb. Scripts for loading PRODES 2016 data to SciDB

sits.sampler. Shiny application for sampling time series to be used with the sits package

most_deforested_towns. Model the most deforested towns.

samples_mapbiomas. R scripts for retrieving time series of mapbiomas samples.

bdc_amazonia_tc. R

clouds. Comparison of cloud algorithms on Sentinel-2 images.

sits_classify_S2_10_16D_STK_077095. Classification of BDC data cube Sentinel2 077095 STACK with resolution of 10 meters and 16 days using R packageSITS

deforestationdrivers. Attempt to reproduce the results in Deforestation drivers in the Brazilian Amazon: assessing new spatial predictors

forestdegrad. Supervised classification of deforestation in the brazilian Amazon

sits.prodes. R

hdf2tif. Export MODIS images to tif

sits.starfm. Use the StarFM fusion model to prepare images for use in SITS

luaRserve. Lua

SciDB-lua. Send queries to SciDB from Lua

sdbStreamR4ts. R scripts for processing time series using SciDB's stream

labPDISR. GRASS GIS 7 scripts for processing digital images

tbtwdtw. Apply TWDTW to time-series on the fly