Publication
The spectralrao-monitoring Python package : A RAO's Q diversity index-based application for land-cover/land-use change detection in multifunctional agricultural areas
| dc.contributor.author | Tassi, Andrea | |
| dc.contributor.author | Massetti, Andrea | |
| dc.contributor.author | Gil, Artur José Freire | |
| dc.date.accessioned | 2022-11-28T17:08:35Z | |
| dc.date.available | 2022-11-28T17:08:35Z | |
| dc.date.issued | 2022-05 | |
| dc.description.abstract | Monitoring multifunctional agricultural areas is paramount to ensure their cost-effective management. The remote sensing-based detection of land-cover/land-use (LCLU) changes and analysis of vegetation dynamics constitute a relevant indicator to support robust monitoring schemes, allowing the control of agri-environmental conditions and enforcing related measures and policies. The Rao's Q diversity index (RaoQ) is frequently used to measure functional diversity in ecology, thanks to the textural analysis of the environment. This paper aims to develop and provide an open-source Python application whose workflow may constitute a RaoQ-based LCLU change monitoring tool for multifunctional agricultural areas. Here, a use case is presented for detecting and mapping LCLU changes leveraging the free and open access Landsat 8 (L8) satellite data. The workflow is organized in four main stages: (1) data processing; (2) Normalized Difference Vegetation Index (NDVI) calculation; (3) RaoQ calculation; and (4) detection and mapping of LCLU changes through thresholding of RaoQ. Three methodological approaches were developed (RaoC – “classic” RaoQ; RaoMD – “multidimensional” RaoQ, and “classic + multidimensional” RaoQ) with overall accuracies ranging from 0.88 to 0.92. An example of an agri-environmental monitoring decision-support framework based on spectralrao-monitoring is presented. The application is easily reproducible, and the code is fully available and utilizable with other sensors at different resolutions to support monitoring other types of agricultural areas. | en |
| dc.description.sponsorship | During the conception and primary development of this research idea, author A. Gil was funded by FCT (Portuguese National Foundation for Science and Technology) under a postdoctoral fellowship (SFRH/BPD/100017/2014) and a subsequent Assistant Researcher contract (Decree-Law 57/2017). | en |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Tassi, A., Massetti, A. & Gil, A. (2022). The spectralrao-monitoring Python package: a RAO's Q diversity index-based application for land-cover/land-use change detection in multifunctional agricultural areas. "Computers and Electronics in Agriculture", 196, 106861. DOI:10.1016/j.compag.2022.106861 | en |
| dc.identifier.doi | 10.1016/j.compag.2022.106861 | pt_PT |
| dc.identifier.eissn | 1872-7107 | |
| dc.identifier.issn | 0168-1699 | |
| dc.identifier.uri | http://hdl.handle.net/10400.3/6456 | |
| dc.identifier.wos | 000806765400004 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | ECOSENSING - Development of remote sensing-based indicators for an innovative and effective ecological monitoring and assessment in European agroecosystems | |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0168169922001788 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Agricultural Monitoring | en |
| dc.subject | Land-use Change | en |
| dc.subject | Land-cover Change | en |
| dc.subject | Agri-environmental Indicator | en |
| dc.subject | Landsat 8 | en |
| dc.title | The spectralrao-monitoring Python package : A RAO's Q diversity index-based application for land-cover/land-use change detection in multifunctional agricultural areas | en |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | ECOSENSING - Development of remote sensing-based indicators for an innovative and effective ecological monitoring and assessment in European agroecosystems | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBPD%2F100017%2F2014/PT | |
| oaire.citation.conferencePlace | Netherlands | en |
| oaire.citation.title | Computers and Electronics in Agriculture | en |
| oaire.citation.volume | 196 | pt_PT |
| oaire.fundingStream | OE | |
| person.familyName | Freire Gil | |
| person.givenName | Artur José | |
| person.identifier | I-7520-2012 | |
| person.identifier.ciencia-id | 6E1A-0689-D573 | |
| person.identifier.orcid | 0000-0003-4450-8167 | |
| person.identifier.scopus-author-id | 37064609200 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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