Mediterranean shrub classification using multitemporal multi-spectral satellite images

Download
2021-2-12
Listiani, Indira Aprilia
Shrublands, which have a crucial role in retaining the ecological balance, constitute an important part of the Mediterranean ecosystems. However, their composition, distribution and dynamics are not well understood. It is necessary to know the distribution of the alliances at regional scale in order to construct models that explain their dynamics. Such models will help researchers to evaluate their role in ecosystems and predict their responses to climate change. Necessary alliance distribution maps can only be produced by employing remote sensing techniques. This study presents a methodology that generates alliance-level woodland/shrubland maps of the Mediterranean region in southern Turkey from satellite images using various machine learning techniques with different parameter combinations. Multitemporal images are used to extract information from vegetation phenology. Topographic and meteorological data are also used for improving classification. vi Cross-validation is performed using a ground-truth data set of 7452 polygons. Results show that detailed and accurate maquis shrubland classification is possible using a combination of environmental features and multi-spectral and multi-temporal satellite images. Addition of the environmental features to remotely sensed ones improved classification accuracy by 16%. The Random Forest (RF) algorithm is found to improve classification accuracy by 35.9% and 13.9% relative to Support Vector Machine and Quadratic Discriminant Analysis algorithms, respectively. Alliance-level classification maps of maquis acquired from RF classification are produced with 64.0-82.1% overall accuracy. Large-scale shrub classification method will have important implications on natural resource management and other ecological applications.

Suggestions

Southern European Seas: Assessing and modelling ecosystem changes (SESAME)
Oğuz, Temel(2011-4-30)
The general scientific objectives of SESAME are to assess and predict changes in the Mediterranean and Black Sea ecosystems as well as changes in the ability of these ecosystems to provide goods and services. The Mediterranean and Black Sea will be approached as a coupled climatic/ecosystem entity, with links and feedbacks to the world ocean. The assessment of ecosystem changes will be based on the identification of the major regime shifts in ecosystems that occurred during the last 50 years. Mathematical m...
The Role of Top-Down and Bottom-Up Control for Phytoplankton in a Subtropical Shallow Eutrophic Lake: Evidence Based on Long-Term Monitoring and Modeling
Mao, Zhigang; Gu, Xiaohong; Cao, Yong; Zhang, Min; Zeng, Qingfei; Chen, Huihui; Shen, Ruijie; Jeppesen, Erik (Springer Science and Business Media LLC, 2020-02-03)
Lake ecosystems are exposed to a range of anthropogenic pressures, particularly eutrophication, and in some cases also stocking and/or overfishing of top-predator fish species, all factors that have implications for the food web structure and which could lead to dominance of nuisance cyanobacteria. Restoration of degraded lakes demands insight into the relative role of top-down for bottom-up regulating forces. While knowledge about these forces in temperate lakes is extensive, comparatively little is known ...
The ethnobotany of wild food plant use in the Konya Basin: a quantitative and ethnoarchaeological approach
Tsetsekos, Aylan Erkal; Doğan, Musa; Department of Archaeometry (2006)
In this ethnobotanical study, an ethnoarchaeological approach was adopted for the archaeological implications of the importance of wild food plants and their dietary uses in the Neolithic and Chalcolithic Periods in Central Anatolia by exploring the dietary uses of these plants by the modern villagers of Konya Basin. The study was based on the indigenous knowledge of the modern villagers of Konya of managing wild food plant resource in their surroundings for the dietary uses. This knowledge was explored thr...
Species level classification of Mediterranean sparse forests-maquis formations using Sentinel-2 imagery
Caglayan, Semiha Demirbas; Leloğlu, Uğur Murat; Ginzler, Christian; Psomas, Achilleas; Zeydanlı, Uğur Siyami; Bilgin, Cemal Can; Waser, Lars T. (2020-07-01)
Essential forest ecosystem services can be assessed by better understanding the diversity of vegetation, specifically those of Mediterranean region. A species level classification of maquis would be useful in understanding vegetation structure and dynamics, which would be an indicator of degradation or succession in the region. Although remote sensing was regularly used for classification in the region, maquis are simply represented as one to three categories based on density or height. To fill this gap, we...
Grasslands of Navarre (Spain), focusing on the Festuco-Brometea: classification, hierarchical expert system and characterisation
García-Mijangos, Itziar; Berastegi, Asun; Biurrun, Idoia; Dembicz, Iwona; JaniŠová, Monika; Kuzemko, Anna; Vynokurov, Denys; Ambarlı, Didem; Etayo, Javier; Filibeck, Goffredo; Jandt, Ute; Natcheva, Rayna; YILDIZ, OKTAY; Dengler, Juergen (2021-01-01)
Aims: To clarify the syntaxonomic position of the grasslands in Navarre, with special focus on the dry grasslands, and to characterise the resulting syntaxonomic units in terms of diagnostic species and ecological conditions. Study area: Navarre (northern Spain). Methods: We sampled 119 plots of 10 m2 following the standardised EDGG methodology and analysed them together with 839 plots of similar size recorded in the 1990. For the classification, we used the modified TWINSPAN algorithm, complemented by the ...
Citation Formats
I. A. Listiani, “Mediterranean shrub classification using multitemporal multi-spectral satellite images,” M.S. - Master of Science, Middle East Technical University, 2021.