ramonssouza Goto Github PK

pygeeltr

LandTrendr using the Python API of Google Earth Engine

pygwr

Geographically Weighted Regression (GWR) in Python

pyllshading

Python package for geomorphometry and hillshading

python-cnn

Funcionamento das redes neurais convolucionais para o processamento das imagens.

python-send_whatsapp

Automação de Whatsapp com Python

r-sdm

Repository to build SDMs

rainfarmr

R library implementing the RainFARM stochastic precipitation downscaling method

research-codes

This repository is used for the paper "A Hybrid Cellular Automata Model Integrated with Deep Learning for Dynamic Spatio-temporal Land Use Change Simulation"

ribge

R package for (down)loading data from IBGE (Instituto Brasileiro de Geografia e Estatística)

ricepal

codes for RS paper: Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal

rocker-versioned2

satellite-images-classification-with-keras-r

Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification

sciann

Deep learning for Engineers - Physics Informed Deep Learning

scipy2018-geospatial-data

self-organising-maps

Using Machine Learning to explore spatial data

sequential_regression_model

sergs

sequential linear regression slope to analyse changes in functioning of dryland vegetation

shap

A game theoretic approach to explain the output of any machine learning model.

soc

Large-scale digital mapping of soil organic carbon content by using machine learning algorithms

soilgrids250m

Global spatial predictions of soil properties and classes at 250 m resolution

speech-analysis

streamnet

Morphology analysis of stream networks 🍃

tagee

Terrain Analysis in Google Earth Engine

tensorflow-som

A multi-gpu implementation of the self-organizing map in TensorFlow

thesis-wvu-2012

Solving for y: digital soil mapping using statistical models and improved models of land surface

topic-modelling

Handy Jupyter Notebooks that I use in for Topic Modeling. Including text mining from PDF files, text preprocessing, Latent Dirichlet Allocation (LDA), hyperparameters grid search and Topic Modeling visualiation.

trends.earth-cli

Command line interface of trends.earth Project

tutorialsampling4dsm

R scripts for sampling for digital soil mapping

voila-material

Material design template for Voilà

waas_landuse_couple

Repository for analysis of simulation results presented in the paper "What are the merits of endogenising land-use change dynamics into model-based climate adaptation planning?"