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1_laserscanning_lidr

alieldinayman

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

aprende-python-desde-cero-a-experto

Libro Aprende Python desde cero a experto

awesome-geospatial

Long list of geospatial tools and resources

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bokeh_tutorial

Visualization using Bokeh library - Tutorial included in the course of Data Science II, UdeC

cetacean_photogram

Measuring Cetaceans from Remotely Sensed Data (mostly UAS)

computer-vision-industry-use-cases

Computer Vision Industry Use Cases

covid-19

curso_aeropython

Curso de iniciación a Python orientado a la ingeniería

datascience1

deafrica-training-workshop

ARCHIVED DEC 2021 - Training material on how to use DE Africa data

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_learning_ecology

Educational Resources on Neural Networks for Ecology and Remote Sensing

deeptreeattention

Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction

docker-bio821

A small project using Docker container, SQL, Python and Bash to make a general pipeline to analyze a small dataframe.

drone-image-semantic-segmentation

Aerial Drone Image Semantic Segmentation using U-Net with MobileNetV2 as the backbone architecture in Pytorch

drone-images-semantic-segmentation

Multi-class semantic segmentation performed on "Semantic Drone Dataset."

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

example-notebooks

Miscellaneous notebooks to use with Sentinel Hub

fdsw-github

gc-ims-tools

Python package to handle and analyze GC-IMS data.

geoinformatics

Contains project work of Geoinformatics

geopandas

Python tools for geographic data

glcm

Fast Gray-Level Co-Occurrence Matrix by numpy

googleearthengine

Google Earth Engine Tutorial

gui-for-hyperspectral-image-preprocessing-using-python

The GUI will preprocess the hyperspectral images i.e. removes the bands having negative values. The image format allowed is ".ENVI".

hsv_tomatoes_selection

HSV masking for selection of ripe tomatoes

imageprep

Dataset prep tool for object detection tasks