IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Investigating the Pixel Quality Influence on Forecasting Vegetation Change Dynamics: Application Case of Tunisian Olive Sites

Investigating the Pixel Quality Influence on Forecasting Vegetation Change Dynamics: Application Case of Tunisian Olive Sites
View Sample PDF
Author(s): Oumayma Bounouh (RIADI Laboratory, Tunisia), Houcine Essid (National School for Computer Science, Tunisia)and Imed Riadh Farah (National School for Computer Science, Tunisia)
Copyright: 2021
Pages: 14
Source title: Interdisciplinary Approaches to Spatial Optimization Issues
Source Author(s)/Editor(s): Sami Faiz (University of Tunis El Manar, Tunis, Tunisia)and Soumaya Elhosni (University of Tunis El Manar, Tunis, Tunisia)
DOI: 10.4018/978-1-7998-1954-7.ch006

Purchase


Abstract

To date, analysis of remotely sensed images remains a big challenge. Despite its high quality and free availability, scientists ask more questions about the reliability of the existent works and developed tools. Indeed, the input choice is under investigation in order to minimize the imprecision within the work's methodology and results. In order to construct a good forecasting model, the researcher focuses on the first place on the data collection. Traditionally, this step is usually neglected, or it does not attract a sufficient amount of attention. Therefore, the obtained forecaster may be trained on the false data sets which makes more questions about its reliability. This chapter investigates the influence of the presence of mixed pixel on the forecasting accuracy final results of vegetation dynamics tracking. The authors also use different similarity measures to differentiate between the pure and the mixed time series.

Related Content

Salwa Saidi, Anis Ghattassi, Samar Zaggouri, Ahmed Ezzine. © 2021. 19 pages.
Mehmet Sevkli, Abdullah S. Karaman, Yusuf Ziya Unal, Muheeb Babajide Kotun. © 2021. 29 pages.
Soumaya Elhosni, Sami Faiz. © 2021. 13 pages.
Symphorien Monsia, Sami Faiz. © 2021. 20 pages.
Sana Rekik. © 2021. 9 pages.
Oumayma Bounouh, Houcine Essid, Imed Riadh Farah. © 2021. 14 pages.
Mustapha Mimouni, Nabil Ben Khatra, Amjed Hadj Tayeb, Sami Faiz. © 2021. 18 pages.
Body Bottom