Comparison of three DEM sources: a case study from Greek forests

Liampas, Sarantis-Angelos G.; Stamatiou, Christos; Drosos, Vasileios C.

doi:10.1117/12.2506928

Cited by 3 publications

(2 citation statements)

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“…In [9], the Normalized Difference Vegetation Index (NDVI) was used, along with geographic information of roads and agricultural fields, to identify FMZs. In a different context, the work of [10] compared the precision of three digital surface models to estimate the elevation of the terrain in the areas that concern FMZs, in a northern part of Greece.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Interventions in Fuel Management Zones Using Remote Sensing

Afonso

Neves

Damásio

et al. 2020

IJGI

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Every year, wildfires strike the Portuguese territory and are a concern for public entities and the population. To prevent a wildfire progression and minimize its impact, Fuel Management Zones (FMZs) have been stipulated, by law, around buildings, settlements, along national roads, and other infrastructures. FMZs require monitoring of the vegetation condition to promptly proceed with the maintenance and cleaning of these zones. To improve FMZ monitoring, this paper proposes the use of satellite images, such as the Sentinel-1 and Sentinel-2, along with vegetation indices and extracted temporal characteristics (max, min, mean and standard deviation) associated with the vegetation within and outside the FMZs and to determine if they were treated. These characteristics feed machine-learning algorithms, such as XGBoost, Support Vector Machines, K-nearest neighbors and Random Forest. The results show that it is possible to detect an intervention in an FMZ with high accuracy, namely with an F1-score ranging from 90% up to 94% and a Kappa ranging from 0.80 up to 0.89.

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Section: Introductionmentioning

confidence: 99%

Assessment of Interventions in Fuel Management Zones Using Remote Sensing

Afonso

Neves

Damásio

et al. 2020

IJGI

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“…The GIS data model includes spatial and attribute data and therefore a GIS database design must accommodate doth kinds of data, requiring different kinds of data structure. The GIS database design usually relates to one specific project, for which only one database structure is suited, but since a GIS can handle more than one project and database, more database structures can be designed for the different user's needs for different GIS projects [7].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Development and Exploitation of Semi-mountainous Area in Greece

Drosos¹,

Liampas²,

Stamatiou³

2016

IJESD

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Abstract-Sustainable development of semi-mountainous regions supports an increase in economic investments in order to profit the residents of region, without however having drastic negative influences on the natural environment. Green Infrastructure (GI) can be broadly defined as a strategically planned network of high quality natural and semi-natural areas with other environmental features, which is designed and managed to deliver a wide range of ecosystem services and protect biodiversity. The objective of this study is the specification of strategic directions for an integrated development of semi-mountainous areas through global measures in relation to zoning policies and also proposals regarding specialized production activities, according to a proper typology that characterizes the differentiation of regional problems, needs, and perspectives. The sustainable development of the semi-mountainous areas of Greece targets regional and social cohesion in the framework of especial strategic targets.

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