Lectures, Data, and Exercises for Environmental Data Science at UCSB
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Updated
Dec 8, 2022 - Jupyter Notebook
Lectures, Data, and Exercises for Environmental Data Science at UCSB
A set of hands-on coding exercises to solve common tasks and simple problems in agricultural sciences.
This is the official repository for Flatburn: the open source City Scanner
IBM Environmental Intelligence documentation
This repository contains the code used for the analysis in the paper "Zhang et al. Direct and indirect impacts of urbanization on vegetation growth across the world’s cities" publised in Science Advances
This is a repository for draft versions of a book called Meta-Analysis of Ecological Data in R (MaEDR)
Notebook demonstrating tree crown detection from drone imagery
Further work on the paper "Reducing Global Carbon Footprint based on MARL" by "Valentin Kahn".
Machine Learning in the Environmental Sciences 2019
A list of books, events, articles, journals, courses, etc related to Environmental Data Science.
This repository contains a vast collection of academic notes, study materials, and resources from various semesters of Data Science course.
Notebook demonstrating coastal vegetation edge detection from satellite imagery
Package to simplify integration with the EPA e-Manifest system
Yet another more efficient plot tool for PFAS adsorption processing Pore-Surface Diffusion Model.
Notebook demonstrating plankton images classification
19ENV300 - Environmental Science - 5th Sem - B.E. CSE(CYS) - ASC, CBE
GIS - Master level course in Physical Geography at Marburg University
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