sdesena

above-ground-biomass

Aboveground biomass (AGB) estimation with remote sensing data (optical and radar) and machine learning algorithms (random forest and deep learning)

brazil-canopy-height-model

This repository is a fork of https://github.com/langnico/global-canopy-height-model/ and contains the code used to create the results presented in the paper: A high-resolution canopy height model of the Earth. The model estimates canopy top height for Sentinel-2 images

handson-ml-scikit-keras-tensorflow

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

integracao-sicar

Ferramentas e scripts para integração de dados do Sistema de Informação de Cadastro Ambiental Rural (SICAR) em análises espaciais com Google Earth Engine

Learn-PostgreSQL

Learn PostgreSQL, published by Packt

mapbiomas-agriculture

mapbiomas-forest-plantation

mapbiomas-irrigation

Mastering-PostGIS

Mastering PostGIS, published by Packt

weather-climate-analysis

Weather and climate analysis with Google Earth Engine. Precipitation, temperature, evapotranspiration, water balance and drought analysis.

sdesena/above-ground-biomass

Aboveground biomass (AGB) estimation with remote sensing data (optical and radar) and machine learning algorithms (random forest and deep learning)

sdesena/weather-climate-analysis

Weather and climate analysis with Google Earth Engine. Precipitation, temperature, evapotranspiration, water balance and drought analysis.

sdesena/brazil-canopy-height-model

This repository is a fork of https://github.com/langnico/global-canopy-height-model/ and contains the code used to create the results presented in the paper: A high-resolution canopy height model of the Earth. The model estimates canopy top height for Sentinel-2 images

sdesena/handson-ml-scikit-keras-tensorflow

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

sdesena/integracao-sicar

Ferramentas e scripts para integração de dados do Sistema de Informação de Cadastro Ambiental Rural (SICAR) em análises espaciais com Google Earth Engine

sdesena/Learn-PostgreSQL

Learn PostgreSQL, published by Packt

sdesena/mapbiomas-agriculture

sdesena/mapbiomas-forest-plantation

sdesena/mapbiomas-irrigation

sdesena/Mastering-PostGIS

Mastering PostGIS, published by Packt

sdesena/postgis_workshop

Advanced Spatial Analysis with PostGIS

sdesena/PyR4MDS

Companion code repository for the O'Reilly "Python and R for the Modern Data Scientist" book.

sdesena/qgis-earthengine-examples

A collection of 300+ Python examples for using Google Earth Engine in QGIS

sdesena/sdesena

sdesena/statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"