cristhian0224

pyGEDI

pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

MachineLearningCourse

My graduate level machine learning course, including student machine learning projects.

MLMONDAYS

Materials for the USGS "Deep Learning for Image Classification and Segmentation" CDI workshop, 2020

EEwPython

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

Satellite-Imagery-Datasets-Containing-Ships

A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

geographic-data-science

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

jupyterbook

UW Geospatial Data Analysis Course

Geopython

Notebooks and libraries for spatial/geo Python explorations

GlobalSolarPosition

Global computation of the solar position at a given time in Google Earth Engine

models

Models and examples built with TensorFlow

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

awesome-earth-engine-apps

A collection of all public Google Earth Engine Apps.

Satellite-Imagery-Datasets-Containing-Ships

A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

coded

Continuous Degradation Detection on the Google Earth Engine

LT-GEE

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

lcmap-pyccd

attention-mechanism-unet

An Attention-Based U-Net for Detecting Deforestation Within Satellite Sensor Imagery.

stable-diffusion

panel

Panel: The powerful data exploration & web app framework for Python

dynamicworld

GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

LS8-OLI-MAPPING

Mapping of rice growth phases and bare land using Landsat-8 OLI and machine learning algorithms

Geo-SInC

image-crop-analysis

Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

Crop_classification

Training & evaluating different experiments using Deep Learning & CNN for plant classification topic

MT-PolSAR-Change-Detection-For-Crop-Monitoring-And-Classification

Repository associated with the paper: Multi-Temporal Polarimetric SAR (MT-PolSAR) Change Detection For Crop Monitoring And Crop Type Classification

unsupervisedRemoteSensing

Remote sensing of vegetation and crops using hyperspectral imagery and unsupervised learning methods. The project contains different applications with code developed in python.

Evaluation-of-satellite-imagery-based-crop-classification

Repository for the Python scripts and data sets used in the thesis "Evaluation of satellite imagery based crop classification"

WorldCrops

Precision agriculture in the embedding space

custom-scripts

A repository of custom scripts to be used with Sentinel Hub