Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis

Polychronaki, Anastasia; Gitas, Ioannis Z.

doi:10.3390/rs4020424

Cited by 42 publications

(30 citation statements)

References 37 publications

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“…We should not neglect the fact that the specific benefits of GEOBIA were primarily emphasized in applications with very high-resolution data, before object-based procedures were applied to Landsat or other medium and coarse resolution data [41]. In this work the relatively homogeneous distribution of the burned areas assisted the segmentation and accordingly the classification performance, which has been also reported in a similar study [45].…”

Section: Resultssupporting

confidence: 50%

“…A semi-automated GEOBIA procedure with Landsat TM data was proposed by Mitri and Gitas [37] for mapping burned areas in the Mediterranean region. GEOBIA of optical satellite data, ranging from low to very high spatial resolution, has been successfully used for burned area mapping, resulting in high classification accuracies [43][44][45]. The findings of these studies also demonstrated that confusion between burned areas and other land cover classes were significantly minimized.…”

Section: Introductionsupporting

confidence: 50%

“…These included the scale of the objects, the weights of the single layers and the heterogeneity criterion. Scale remains one of the most important factors for image understanding, since an image object may appear differently or not at all depending on various levels of scales [45]. Consequently, in this work, the optimum scale for the object analysis was determined according to the classification purpose, with the largest objects created at scale 5.…”

Section: Development Of the Geobia Classification Modelmentioning

confidence: 99%

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An Object-Based Approach for Fire History Reconstruction by Using Three Generations of Landsat Sensors

2014

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Abstract:In this study, the capability of geographic object-based image analysis (GEOBIA) in the reconstruction of the recent fire history of a typical Mediterranean area was investigated. More specifically, a semi-automated GEOBIA procedure was developed and tested on archived and newly acquired Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Operational Land Imager (OLI) images in order to accurately map burned areas in the Mediterranean island of Thasos. The developed GEOBIA ruleset was built with the use of the TM image and then applied to the other two images. This process of transferring the ruleset did not require substantial adjustments or any replacement of the initially selected features used for the classification, thus, displaying reduced complexity in processing the images. As a result, burned area maps of very high accuracy (over 94% overall) were produced. In addition to the standard error matrix, the employment of additional measures of agreement between the produced maps and the reference data revealed that -spatial misplacement‖ was the main source of classification error. It can be concluded that the proposed approach can be potentially used for reconstructing the recent (40-year) fire history in the Mediterranean, based on extended time series of Landsat or similar data.

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Section: Resultssupporting

confidence: 50%

Section: Introductionsupporting

confidence: 50%

Section: Development Of the Geobia Classification Modelmentioning

confidence: 99%

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An Object-Based Approach for Fire History Reconstruction by Using Three Generations of Landsat Sensors

2014

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“…The goal of the "burned seed objects" class was to identify seed burned objects which would act as initial objects for applying a region-growing algorithm. Such a concept was successfully employed in other studies for mapping burned areas using optical data [48,49]. We performed analyses on feature values from sample objects in order to find the appropriate features and thresholds for identifying the seed burned objects.…”

Section: Classification Of Burned Areasmentioning

confidence: 99%

Evaluation of ALOS PALSAR Imagery for Burned Area Mapping in Greece Using Object-Based Classification

et al. 2013

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Abstract:In this work, the potential of Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery to map burned areas was evaluated in two study areas in Greece. For this purpose, we developed an object-based classification scheme to map the fire-disturbed areas using the PALSAR imagery acquired before and shortly after fire events. The advantage of employing an object-based approach was not only the use of the temporal variation of the backscatter coefficient, but also the incorporation in the classification of topological features, such as neighbor objects, and class related features, such as objects classified as burned. The classification scheme resulted in mapping the burned areas with satisfactory results: 0.71 and 0.82 probabilities of detection for the two study areas. Our investigation revealed that the pre-fire vegetation conditions and fire severity should be taken in consideration when mapping burned areas using PALSAR in Mediterranean regions. Overall, findings suggest that the developed scheme could be applied for rapid burned area assessment, especially to areas where cloud cover and fire smoke inhibit accurate mapping of burned areas when optical data are used.

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“…On such assumptions, OBIA is able to distinguish transformations from natural to rural land use on the basis of differences in spatial distribution and pattern of land cover forms [23]. Numerous empirical studies in many application fields [24][25][26] have provided sufficient evidence on the advantages of OBIA over PBC [27] but no significant research has been performed to evaluate the use of OBIA in mapping plasticulture.…”

Section: Plasticulture Extraction From Remote Imagerymentioning

confidence: 99%

Mapping Rural Areas with Widespread Plastic Covered Vineyards Using True Color Aerial Data

Tarantino

Figorito

2012

Remote Sensing

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Plastic covering is used worldwide to protect crops against damaging growing conditions. This agricultural practice raises some controversial issues. While it significantly impacts on local economic vitality, plasticulture also shows several environmental affects. In the Apulia Region (Italy) the wide-spreading of artificial plastic coverings for vineyard protection has showed negative consequences on the hydrogeological balance of soils as well as on the visual quality of rural landscape. In order to monitor and manage this phenomenon, a detailed site mapping has become essential. In this study an efficient object-based classification procedure from Very High Spatial Resolution (VHSR) true color aerial data was developed on eight test areas located in the Ionian area of the Apulia Region in order to support the updating of the existing land use database aimed at plastic covered vineyard monitoring.

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Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis

Cited by 42 publications

References 37 publications

An Object-Based Approach for Fire History Reconstruction by Using Three Generations of Landsat Sensors

An Object-Based Approach for Fire History Reconstruction by Using Three Generations of Landsat Sensors

Evaluation of ALOS PALSAR Imagery for Burned Area Mapping in Greece Using Object-Based Classification

Mapping Rural Areas with Widespread Plastic Covered Vineyards Using True Color Aerial Data

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