ecoTeka, Urban Forestry Data Management

By

Aloui, Mathias
Duhamel, Gaëtan
Frédout, Manon
Rovellotti, Olivier

Type

Article

Date of Publication

2021-9-27

Original Publication

Metabarcoding and metagenomics

Volume

5

Pages

1--2

Subjects

GIS , open data , taxonomy , Urban forestry

Contributed by

Pensoft Publishers

Language

English

Published by

Bulgaria Pensoft Publishers 2017-

Identifiers

DOI: https://doi.org/10.3897/biss.5.75705

 

Abstract

It is now well known that a healthy urban ecosystem is a crucial element to healthier citizens (Astell-Burt and Feng 2019), better air (Ning et al. 2016) and water quality (Livesley et al. 2016), and overall, to a more resilient urban environment (Huff et al. 2020). With ecoTeka, an open-source platform for tree management, we leverage the power of OpenStreetMap (Mooney 2015), Mappilary, and open data to allow decision makers to improve their urban forestry practices. To have the most comprehensive data about the ecosystems, we plan use all available sources from satellite imagery to LIDAR (light detection and ranging) and compute them with the DeepForest (Weinstein et al. 2020) learning algorithm. We also teamed with the French government to build an open standard for tree data to improve the interoperability of the system. Finally, we calculate a Shannon-Wiener diversity index (used by ecologists to estimate species diversity by their relative abundance in a habitat) to inform the decision making of urban ecosystems.