<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>0 | Academic</title><link>https://jonathanpdash.netlify.app/publication-type/0/</link><atom:link href="https://jonathanpdash.netlify.app/publication-type/0/index.xml" rel="self" type="application/rss+xml"/><description>0</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Thu, 24 Sep 2020 14:44:44 +0100</lastBuildDate><image><url>https://jonathanpdash.netlify.app/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>0</title><link>https://jonathanpdash.netlify.app/publication-type/0/</link></image><item><title>Comparison of TanDEM X InSAR Data and High Density ALS for the Prediction of Forest Inventory Attributes in Plantation Forests With Steep Terrain</title><link>https://jonathanpdash.netlify.app/publication/comparison-of-tandem-x-insar-data-and-high-density-als-for-the-prediction-of-forest-inventory-attributes-in-plantation-forests-with-steep-terrain/</link><pubDate>Thu, 24 Sep 2020 14:44:44 +0100</pubDate><guid>https://jonathanpdash.netlify.app/publication/comparison-of-tandem-x-insar-data-and-high-density-als-for-the-prediction-of-forest-inventory-attributes-in-plantation-forests-with-steep-terrain/</guid><description/></item><item><title>Methods for Estimating Multivariate Stand Yields and Errors Using KNN and Aerial Laser Scanning</title><link>https://jonathanpdash.netlify.app/publication/methods-for-estimating-multivariate-stand-yields-and-errors-using-knn-and-aerial-laser-scanning/</link><pubDate>Sun, 24 Jul 2016 14:05:32 +0100</pubDate><guid>https://jonathanpdash.netlify.app/publication/methods-for-estimating-multivariate-stand-yields-and-errors-using-knn-and-aerial-laser-scanning/</guid><description/></item></channel></rss>