Published in MLearning.ai

·Pinned

Right tree, right place: redesigning Europe’s forests with AI

Prepared by: Carmelo Bonannella (OpenGeoHub), Valentina Delconte (OpenGeoHub), Ichsani Wheeler (OpenGeoHub / EnvirometriX) and Tom Hengl (OpenGeoHub / EnvirometriX) The growing interest in climate change and the potential threat it poses have seen an increasing demand for tools and solutions to the world’s greatest environmental problems. Forests are part of…

Forest Tree

7 min read

Right tree, right place: redesigning Europe’s forests with AI

Published in Nerd For Tech

·Pinned

Restoration culture: what is land degradation, how to measure it, and what you can do to reverse some negative trends?

Prepared by: Tom Hengl (OpenGeoHub), Ichsani Wheeler (OpenGeoHub), Robert A. McMillan (OpenGeoHub), Kris Deveria (OpenGeoHub), Leandro Parente (OpenGeoHub), Chris van Diemen (OpenGeoHub), Valentina Delconte (OpenGeoHub) Land degradation is a systematic loss of function in terrestrial ecosystems: a serious drop in primary productivity, biomass and biodiversity. This means the land produces…

Open Data

20 min read

Restoration culture: what is land degradation, how to measure it, and what you can do to reverse…

Feb 17

Tracking environmental change to save biodiversity and languages from extinction

Prepared by: Valentina Delconte (OpenGeoHub), Insights from OpenGeoHub’s seminar series “Biodiversity: how big is our global biodiversity debt and what can we do about it?” on December 23, 2021. To help us answer the question: “Can nature keep up with human-induced environmental changes and can ecosystem regeneration be enough to…

Biodiversity

8 min read

Published in MLearning.ai

·Jan 20

Spatial sampling and resampling and Machine Learning: A tutorial in R

Prepared by: Tom Hengl (OpenGeoHub), Leandro Parente (OpenGeoHub) and Ichsani Wheeler (OpenGeoHub) Samples collected in soil, vegetation science, ecology, geology can be used to build predictive mapping models and produce predictions i.e. maps. Increasingly, Machine Learning methods such Random Forest and similar are used to train models and produce maps…

Sampling

12 min read

Published in Nerd For Tech

·Jul 14, 2021

Extrapolation is tough for trees (tree-based learners), combining learners of different type makes it less tough

Prepared by: Tom Hengl (OpenGeoHub) Some popular tree-based Machine Learning (ML) algorithms such as Random Forest (RF) and/or Gradient Boosting have been criticized about over-fitting effects and prediction / extrapolation in feature space that can lead to serious blunders and artifacts. Extrapolation seems to be especially cumbersome for regression problems…

Machine Learning

11 min read

Extrapolation is tough for trees (tree-based learners), combining learners of different type makes…

Published in Nerd For Tech

·Apr 13, 2021

Soil and Agronomy Data Cube for Africa at 30-m spatial resolution

Prepared by: Tom Hengl (OpenGeoHub) and Leandro Parente (OpenGeoHub) Earth Observation, soil, terrain, land cover and land use, climate data are increasingly available for Africa for research and businesses. This tutorial explains: how to access the iSDAsoil property and nutrient maps for Africa and number of Sentinel-2 cloud-free bands and…

Soildata 4 Africa

10 min read

Soil and Agronomy Data Cube for Africa at 30-m spatial resolution

Published in The Startup

·Mar 1, 2021

Europe From Above: Space-Time Machine Learning Reveals Our Changing Environment

Prepared by: Leandro Parente (OpenGeoHub), Martijn Witjes (OpenGeoHub), Tom Hengl (OpenGeoHub), Codrina Maria Ilie (Terrasigna) and Martin Landa (CVUT Prague) OpenGeoHub together with partners CVUT Prague, mundialis, Terrasigna, MultiOne and GiLAB, has released Open Data Science Europe data portal on 1st of March 2021. It comprises terabytes of gridded data…

Open Data

11 min read

Europe From Above: Space-Time Machine Learning Reveals Our Changing Environment

Published in The Startup

·Sep 29, 2020

Open Data and Open Source Software on a Mission of Solving Humanity’s Most Urgent Problems

Perspectives from the OpenGeoHub 2020 Summer School — The key to achieving scientific advancements in health, development, and environmental issues really comes down to the idea that “good questions are taken as good questions no matter where they come from,” Edzer Pebesma of the Institute for Geoinformatics at the University of Münster, suggested as leading developers from the…

Programming

7 min read

Open Data and Open Source Software on a Mission of Solving Humanity’s Most Urgent Problems

May 25, 2019

Everybody has a right to know what’s happening with the planet: towards a global commons

On the critical role of remote sensing, legacy field observations, Data Science and reproducible research for monitoring environment Co-authored by: Tom N. Collins, Ichsani Wheeler and Robert A. MacMillan Since 2004, OpenStreetMap has been the main platform for building an Open Map of the world. More recently, the concept of building geo-information through distributed… Originally published at https://towardsdatascience.com on May 25, 2019.

1 min read

Everybody has a right to know what’s happening with the planet: towards a global commons

On the critical role of remote sensing, legacy field observations, Data Science and reproducible research for monitoring environment

Co-authored by: Tom N. Collins, Ichsani Wheeler and Robert A. MacMillan

Since 2004, OpenStreetMap has been the main platform for building an Open Map of the world. More recently, the concept of building geo-information through distributed…

Originally published at https://towardsdatascience.com on May 25, 2019.