Multitemporal Remote Sensing for Invasive Prosopis Juliflora Plants Mapping and Monitoring: Sharjah, UAE

Alya AlMaazmi, Rami Al-Ruzouq

Abstract

Prosopis juliflora is one of the 'world's most invasive trees that negatively affects native species and their ecosystems. The main obstacle for controlling Prosopis juliflora pervasion is to accurately map location as well as the distribution pattern. Locating Prosopis juliflora is a strategic priority of countries to preserve the invaded local environment. Recent advances in remote sensing, geographic information system (GIS), and Machine Learning (ML) techniques provide valuable tools for producing tree distribution maps. In this research, a supervised classification method with Support Vector Machine (SVM) supported by GIS statistical analysis was developed to map Prosopis juliflora and their pattern analysis in Sharjah, one of the major cities in the United Arab. More than 5000-pixel labels taken from Landsat-7 and Landsat-8 imagery were used to train object-based Support Vector Machine to map Prosopis juliflora. The suggested algorithm resulted in 75% accuracy compared to ground truth samples. Furthermore, multi-temporal detection showed 'that's spatial clustering pattern of the trees is changing and increasing over time. The approach adopted in this study can be applied to any other location globally.

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Paper Citation


in Harvard Style

AlMaazmi A. and Al-Ruzouq R. (2021). Multitemporal Remote Sensing for Invasive Prosopis Juliflora Plants Mapping and Monitoring: Sharjah, UAE. In Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-503-6, pages 149-156. DOI: 10.5220/0010440601490156


in Bibtex Style

@conference{gistam21,
author={Alya AlMaazmi and Rami Al-Ruzouq},
title={Multitemporal Remote Sensing for Invasive Prosopis Juliflora Plants Mapping and Monitoring: Sharjah, UAE},
booktitle={Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2021},
pages={149-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010440601490156},
isbn={978-989-758-503-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Multitemporal Remote Sensing for Invasive Prosopis Juliflora Plants Mapping and Monitoring: Sharjah, UAE
SN - 978-989-758-503-6
AU - AlMaazmi A.
AU - Al-Ruzouq R.
PY - 2021
SP - 149
EP - 156
DO - 10.5220/0010440601490156