{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T12:53:25Z","timestamp":1770814405735,"version":"3.50.1"},"reference-count":73,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,2,12]],"date-time":"2023-02-12T00:00:00Z","timestamp":1676160000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Higher Education Commission (HEC) of Pakistan through the International Research Support Initiative Program","award":["IRSIP 44\/BMS 87"],"award-info":[{"award-number":["IRSIP 44\/BMS 87"]}]},{"name":"Higher Education Commission (HEC) of Pakistan through the International Research Support Initiative Program","award":["50051701"],"award-info":[{"award-number":["50051701"]}]},{"name":"Higher Education Commission (HEC) of Pakistan through the International Research Support Initiative Program","award":["NERC-NCEO"],"award-info":[{"award-number":["NERC-NCEO"]}]},{"name":"Worldwide Fund Pakistan","award":["IRSIP 44\/BMS 87"],"award-info":[{"award-number":["IRSIP 44\/BMS 87"]}]},{"name":"Worldwide Fund Pakistan","award":["50051701"],"award-info":[{"award-number":["50051701"]}]},{"name":"Worldwide Fund Pakistan","award":["NERC-NCEO"],"award-info":[{"award-number":["NERC-NCEO"]}]},{"name":"Natural Environment Research Council, UK","award":["IRSIP 44\/BMS 87"],"award-info":[{"award-number":["IRSIP 44\/BMS 87"]}]},{"name":"Natural Environment Research Council, UK","award":["50051701"],"award-info":[{"award-number":["50051701"]}]},{"name":"Natural Environment Research Council, UK","award":["NERC-NCEO"],"award-info":[{"award-number":["NERC-NCEO"]}]},{"name":"University of Leicester with funds from the Natural Environment Research Council, UK","award":["IRSIP 44\/BMS 87"],"award-info":[{"award-number":["IRSIP 44\/BMS 87"]}]},{"name":"University of Leicester with funds from the Natural Environment Research Council, UK","award":["50051701"],"award-info":[{"award-number":["50051701"]}]},{"name":"University of Leicester with funds from the Natural Environment Research Council, UK","award":["NERC-NCEO"],"award-info":[{"award-number":["NERC-NCEO"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Invasive alien plants are considered as one of the major causes of loss of native biodiversity around the world. Remote sensing provides an opportunity to identify and map native and invasive species using accurate spectral information. The current study was aimed to evaluate PlanetScope (3 m) and Sentinel (10 m) datasets for mapping the distribution of native and invasive species in two protected areas in Pakistan, using machine learning (ML) algorithms. The multispectral data were analysed with the following four ML algorithms (classifiers)\u2014random forest (RF), Gaussian mixture model (GMM), k-nearest neighbour (KNN), and support vector machine (SVM)\u2014to classify two invasive species, Lantana camara L. (common lantana) and Leucaena leucocephala L. The (Ipil-ipil) Dzetsaka plugin of QGIS was used to map these species using all ML algorithms. RF, GMM, and SVM algorithms were more accurate at detecting both invasive species when using PlanetScope imagery rather than Sentinel. Random forest produced the highest accuracy of 64% using PlanetScope data. Lantana camara was the most dominating plant species with 23% cover, represented in all thematic maps. Leucaena leucocpehala was represented by 7% cover and was mainly distributed in the southern end of the Jindi Reserve Forest (Jhelum). It was not possible to discriminate native species Dodonea viscosa Jacq. (Snatha) using the SVM classifier for Sentinel data. Overall, the accuracy of PlanetScope was slightly better than Sentinel in term of species discrimination. These spectral findings provide a reliable estimation of the current distribution status of invasive species and would be helpful for land managers to prioritize invaded areas for their effective management.<\/jats:p>","DOI":"10.3390\/rs15041020","type":"journal-article","created":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T01:48:56Z","timestamp":1676252936000},"page":"1020","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Mapping Lantana camara and Leucaena leucocephala in Protected Areas of Pakistan: A Geo-Spatial Approach"],"prefix":"10.3390","volume":"15","author":[{"given":"Iram M.","family":"Iqbal","sequence":"first","affiliation":[{"name":"Ecology and Evolution Lab, Institute of Botany, University of the Punjab, Quaid-e-Azam Campus, Lahore 54590, Pakistan"},{"name":"School of Geography, Geology and the Environment, Institute for Environmental Futures, University of Leicester, Space Park Leicester, 92 Corporation Road, Leicester LE4 5SP, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9053-4684","authenticated-orcid":false,"given":"Heiko","family":"Balzter","sequence":"additional","affiliation":[{"name":"School of Geography, Geology and the Environment, Institute for Environmental Futures, University of Leicester, Space Park Leicester, 92 Corporation Road, Leicester LE4 5SP, UK"},{"name":"National Centre for Earth Observation, University of Leicester, University Road, Leicester LE1 7RH, UK"}]},{"family":"Firdaus-e-Bareen","sequence":"additional","affiliation":[{"name":"Ecology and Evolution Lab, Institute of Botany, University of the Punjab, Quaid-e-Azam Campus, Lahore 54590, Pakistan"},{"name":"Institute of Molecular Biology and Biotechnology, University of Lahore, Lahore 54000, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4468-6019","authenticated-orcid":false,"given":"Asad","family":"Shabbir","sequence":"additional","affiliation":[{"name":"Ecology and Evolution Lab, Institute of Botany, University of the Punjab, Quaid-e-Azam Campus, Lahore 54590, Pakistan"},{"name":"Weeds Biosecurity, New South Wales Department of Primary Industries, Orange, NSW 2800, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Blackburn, T.M., Essl, F., Evans, T., Hulme, P.E., Jeschke, J.M., K\u00fchn, I., Kumschick, S., Markov\u00e1, Z., Mruga\u0142a, A., and Nentwig, W. 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