philiperleal Goto Github PK

asyncscripts

backblaze

Asynchronous & synchronous Wrapper for Backblaze's B2

balan-o-de-radia-o-

Balanço de radiação com imagem de Landsat 5

bootstrap_analyses

cartopy

Cartopy - a cartographic python library with matplotlib support

classes_and_objects_in_python

clean-architecture-core

A sample app for my online course "Clean Architecture: Patterns, Practices, and Principles" in .NET Core

climate_indices

Climate indices for drought monitoring, community reference implementations in Python

cml_base_case

cml_with_pipelines

convolutional-networks

Various conv nets using TensorFlow, Keras, or other tools

data_driven_modeling_2018

Codes and presentations for Data Driven Modeling course at ETH Zurich, chair for Computer Aided Architectural Design (CAAD) 2018

dataaccess

Repository for the data access project

datacube-core

Open Data Cube analyses continental scale Earth Observation data through time

diagrams

:art: Diagram as Code for prototyping cloud system architectures

dvc.org

🔗 DVC website and documentation

dvc_basic

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

eewpython

A series of Jupyter notebook to learn Google Earth Engine with Python

endtoend---predictive-modeling-using-python

error_regression_parameter_estimation

gazar

A collection of functions/wrappers to use with ogr/gdal that works on Linux, macOS, and Windows.

gee-atmcorr-s2

Atmospheric correction of a (single) Sentinel 2 image

gee_codeeditorscripts

EarthEngine Javascript API scripts cloned from code editor, mainly for Ho et al. (2017), "Using Landsat to extend the historical record of lacustrine phytoplankton blooms: A Lake Erie case study".

geeguide

Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts

geetools-code-editor

A set of tools to use in Google Earth Engine Code Editor (JavaScript)

geojson

A .NET Core library for serializing and deserializing GeoJSON formatted JSON data. Complies with RFC 7946.

geoscience_operations

get_modis

Downloading MODIS data from the USGS repository

global_blooms

Scripts used in "Widespread global increase in intense lake phytoplankton blooms since the 1980s" (Ho, Michalak, Pahlevan, 2019) published in Nature. Provided under an Attribution 4.0 International (CC BY 4.0) license. If you use the code we request that you contact us (see Readme) to let us know that, and how, you are using it.