Pinned Repositories
fluvius
Collaboration project with Analytics Lab at CSP, Instituto Tecnologico Vale, and Microsoft Brazil for estimating suspended sediment in the Itacaiunas River Basin
4fri-lpa-report
A description of the modeling approach used to monitor forest restoration treatments
geo-segmentation
Experiments in image segmentation using remotely sensed data
nasa-roses-2016-a41
neon4cast-phenology
Shared code, example workflow, and null models for EFI-RCN NEON phenology forecasting challenge
wetland-hydroperiods
Use spectral mixture analysis to estimate the extent of small water bodies over time
bayes-for-non-ignorable-designs
lzachmann's Repositories
lzachmann/nasa-roses-2016-a41
lzachmann/4fri-lpa-report
A description of the modeling approach used to monitor forest restoration treatments
lzachmann/geo-segmentation
Experiments in image segmentation using remotely sensed data
lzachmann/models-for-missing-data
Bayesian models for analysis of monitoring data with non-ignorable missingness
lzachmann/neon4cast-phenology
Shared code, example workflow, and null models for EFI-RCN NEON phenology forecasting challenge
lzachmann/wetland-hydroperiods
Use spectral mixture analysis to estimate the extent of small water bodies over time
lzachmann/4fri-lpa-app
Web app used to display 4FRI Landscape Pattern Analysis data products
lzachmann/data-ingestion
Tools of ingesting data from azure's public datasets
lzachmann/dataflow-geobeam
lzachmann/DeepOSM
Train a deep learning net with OpenStreetMap features and satellite imagery.
lzachmann/fluvius
Collaboration project with Analytics Lab at CSP, Instituto Tecnologico Vale, and Microsoft Brazil for estimating suspended sediment in the Itacaiunas River Basin
lzachmann/iggy-enrich-demos
Demos of Iggy Enrich (https://www.askiggy.com/)
lzachmann/lumonitor
lzachmann/lzachmann.github.io
lzachmann/neon4cast-shared-utilities
lzachmann/phreda
Phenological event simulation, courtesy of Wenjie Wang's reda package
lzachmann/pygrts
Spatially balanced sampling using the Generalized Random Tessellation Stratified (GRTS) method