<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ecosystem Services | Precision Agriculture Lab</title><link>https://paglab.org/tag/ecosystem-services/</link><atom:link href="https://paglab.org/tag/ecosystem-services/index.xml" rel="self" type="application/rss+xml"/><description>Ecosystem Services</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jul 2021 00:00:00 +0000</lastBuildDate><image><url>https://paglab.org/media/logo_hu_32055a858e223df5.png</url><title>Ecosystem Services</title><link>https://paglab.org/tag/ecosystem-services/</link></image><item><title>Interdisciplinary Approaches to Assess Biodiversity and Ecosystem Services in Urban Agriculture</title><link>https://paglab.org/project/urban-biodiversity-mapping/</link><pubDate>Thu, 01 Jul 2021 00:00:00 +0000</pubDate><guid>https://paglab.org/project/urban-biodiversity-mapping/</guid><description>&lt;h2 id="overview">Overview&lt;/h2>
&lt;p>This project was funded by the &lt;strong>Hans Eisenmann-Forum für Agrarwissenschaften (HEF) Seed Fund&lt;/strong> at TUM and was jointly led by &lt;strong>Prof. Monika Egerer&lt;/strong> (Urban Ecosystems) and &lt;strong>Prof. Kang Yu&lt;/strong> (Precision Agriculture and Remote Sensing). It brought together ecology and remote sensing to develop interdisciplinary methods for assessing &lt;strong>plant biodiversity and ecosystem services&lt;/strong> in urban agricultural settings, particularly &lt;strong>urban community gardens&lt;/strong>.&lt;/p>
&lt;h2 id="objectives">Objectives&lt;/h2>
&lt;ul>
&lt;li>&lt;strong>Assess plant biodiversity&lt;/strong> in urban community gardens using a combination of proximal sensing and drone-based remote sensing.&lt;/li>
&lt;li>&lt;strong>Quantify ecosystem services&lt;/strong> (e.g., plant diversity, ground cover) across diverse urban garden plots.&lt;/li>
&lt;li>&lt;strong>Develop scalable sensing workflows&lt;/strong> combining field spectroscopy, multispectral UAV imagery, and 3D canopy height models.&lt;/li>
&lt;li>&lt;strong>Bridge ecological assessment&lt;/strong> with remote sensing to enable efficient, repeatable biodiversity monitoring at urban scales.&lt;/li>
&lt;/ul>
&lt;h2 id="methodology">Methodology&lt;/h2>
&lt;p>The project combined:&lt;/p>
&lt;ul>
&lt;li>
&lt;p>&lt;strong>Proximal hyperspectral sensing&lt;/strong> for in situ plant trait and spectral diversity measurements&lt;/p>
&lt;/li>
&lt;li>
&lt;p>&lt;strong>UAV-based multispectral imaging&lt;/strong> and &lt;strong>3D canopy height modelling&lt;/strong> for spatial mapping of plant cover and structure&lt;/p>
&lt;/li>
&lt;li>
&lt;p>&lt;strong>Field surveys&lt;/strong> in urban community gardens in Munich for ground truth collection&lt;/p>
&lt;/li>
&lt;li>
&lt;p>&lt;strong>Interdisciplinary collaboration&lt;/strong> between urban ecology and precision sensing groups at TUM&lt;/p>
&lt;/li>
&lt;li>
&lt;p>&lt;strong>Funded by:&lt;/strong> Hans Eisenmann-Forum für Agrarwissenschaften (HEF) Seed Fund 2021&lt;/p>
&lt;/li>
&lt;/ul>
&lt;p>&lt;strong>Duration:&lt;/strong> 07.2021 – 07.2022&lt;/p>
&lt;h2 id="related-publications">Related Publications&lt;/h2>
&lt;ul>
&lt;li>Afrasiabian et al. (2025). &lt;em>Biodiversity monitoring in urban community gardens using proximal sensing and drone remote sensing.&lt;/em> &lt;strong>Remote Sensing Applications: Society and Environment&lt;/strong>. &lt;a href="../../publication/afrasiabian-2025-rsase-biodiversity/">View&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>