Találati lista | Tudóstér

001-es BibID:	BIBFORM084739
Első szerző:	Deák Balázs (biológus)
Cím:	Fine-scale vertical position as an indicator of vegetation in alkali grasslands : Case study based on remotely sensed data / Deák Balázs, Valkó Orsolya, Cici Alexander, Werner Mücke, Adam Kania, Tamás János, Hermann Heilmeier
Dátum:	2014
ISSN:	0367-2530
Megjegyzések:	Vertical position is an important driver of vegetation zonation at multiple scales, via determining abioticenvironmental parameters, such as climate, soil properties and water balance. In inland alkali landscapes,elevation is a key factor for understanding patterns of salt accumulation and water table which is thereforeconsidered a good indicator of alkali vegetation types. Remote sensing techniques offer viable solutionsfor linking elevation data to vegetation patterns by providing an elevation model of extended areas.Our goal was to test the relationships between fine-scale differences in vertical position and vegetationpatterns in inland alkali landscapes by vegetation data collected in the field and elevation data generatedusing airborne laser scanning (ALS). We studied whether vertical position influences vegetation patternsat the level of main vegetation groups (based on alliances) or even at the level of associations. Our studysites were situated in a lowland alkali landscape in Hortobágy National Park (East-Hungary). We groupedthe associations into four main vegetation groups: loess grasslands, alkali steppes, open alkali swards andalkali meadows. Even though we detected a very limited range (121 cm) in the vertical position of the mainvegetation groups, they were well separated by their vertical positions. At the level of associations, a moredetailed elevation-based distinction was also possible in many cases. The revealed elevation?vegetationcorrelations show that high-resolution mapping based on ALS remote sensing techniques is an idealsolution in complex lowland areas, such as alkali landscapes. Our findings suggest that in other typesof lowland landscapes, characterised by elevation differences, the applied method might hold a greatpotential as a supporting tool for vegetation mapping.
Tárgyszavak:	Természettudományok Biológiai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Vegetation zonation Airborne laser scanning Saline grassland Festucion pseudovinae Natura 2000 Digital terrain modela
Megjelenés:	Flora. - 209 : 12 (2014), p. 693-697. -
További szerzők:	Valkó Orsolya (1985-) (biológus) Alexander, Cici Mücke, Werner (1977-) (távérzékelési mérnök) Kania, Adam (1974-) (program fejlesztő) Tamás János (1959-) (környezetgazdálkodási agrármérnök) Heilmeier, Hermann (1954-) (biológus)
Pályázati támogatás:	TÁMOP-4.2.4.-A/2-11-1-2012-0001 TÁMOP OTKA-PD111807 OTKA
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM053135
Első szerző:	Székely Balázs (geofizikus)
Cím:	A concept for extraction of habitat features from laser scanning and hypersprectral imaging for evaluation of Natura 2000 sites - the ChangeHabitats2 project approach / Székely Balázs, Kania Adam, Pfeifer Norbert, Heilmeier Hermann, Tamás János, Szőllősi Nikolett, Mücke Werner
Dátum:	2012
ISSN:	1029-7006
Megjegyzések:	The goal of the ChangeHabitats2 project is the development of cost- and time-ef?cient habitat assessmentstrategies by employing effective ?eld work techniques supported by modern airborne remote sensing methods,i.e. hyperspectral imagery and laser scanning (LiDAR).An essential task of the project is the design of a novel ?eld work technique that on the one hand ful?lls thereporting requirements of the Flora-Fauna-Habitat (FFH-) directive and on the other hand serves as a reference forthe aerial data analysis. Correlations between parameters derived from remotely sensed data and terrestrial ?eldmeasurements shall be exploited in order to create half- or fully-automated methods for the extraction of relevantNatura2000 habitat parameters.As a result of these efforts a comprehensive conceptual model has been developed for extraction and integrationof Natura 2000 relevant geospatial data. This scheme is an attempt to integrate various activities within Change-Habitats2 project de?ning pathways of development, as well as encompassing existing data processing chains,theoretical approaches and ?eld work.The conceptual model includes de?nition of processing levels (similar to those existing in remote sensing),whereas these levels cover the range from the raw data to the extracted habitat feature. For instance, the amount ofdead wood (standing or lying on the surface) is an important evaluation criterion for the habitat. The tree trunkslying on the ground surface typically can be extracted from the LiDAR point cloud, and the amount of woodcan be estimated accordingly. The ?nal result will be considered as a habitat feature derived from laser scanningdata. Furthermore, we are also interested not only in the determination of the speci?c habitat feature, but also inthe detection of its variations (especially in deterioration). In this approach the variation of this important habitatfeature is considered to be a differential habitat feature, that can be immediately used in the evaluation of theNatura 2000 sites.The goal of the project is the identi?cation of many potential habitat features that can be extracted or implied fromremotely sensed data, and the development of processing chains to provide data that can be used in the everyday?eld work of ecological site assessment.
Tárgyszavak:	Természettudományok Környezettudományok idézhető absztrakt remote sensing monitoring Natura 2000
Megjelenés:	Geophysical Research Abstracts. - 14 : 1 (2012), p. 1-1. -
További szerzők:	Kania, Adam (1974-) (program fejlesztő) Pfeifer, Norbert (1971-) (geodéziai mérnök) Heilmeier, Hermann (1954-) (biológus) Tamás János (1959-) (környezetgazdálkodási agrármérnök) Szőllősi Nikolett (1983-) (gazdasági agrármérnök) Mücke, Werner (1977-) (távérzékelési mérnök)
Pályázati támogatás:	FP7-PEOPLE-2009-IAPP Egyéb
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: