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| Titel |
Assessment of remotely sensed drought features in vulnerable agriculture |
| VerfasserIn |
N. R. Dalezios, A. Blanta, N. V. Spyropoulos |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 12, no. 10 ; Nr. 12, no. 10 (2012-10-19), S.3139-3150 |
| Datensatznummer |
250011148
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| Publikation (Nr.) |
 copernicus.org/nhess-12-3139-2012.pdf |
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| Zusammenfassung |
| The growing number and effectiveness of Earth observation satellite systems,
along with the increasing reliability of remote sensing methodologies and
techniques, present a wide range of new capabilities in monitoring and
assessing droughts. A number of drought indices have been developed based on
NOAA-AVHRR data exploiting the remote sensing potential at different
temporal scales. In this paper, the remotely sensed Reconnaissance Drought
Index (RDI) is employed for the quantification of drought. RDI enables the
assessment of hydro-meteorological drought, since it uses
hydrometeorological parameters, such as precipitation and potential
evapotranspiration. The study area is Thessaly, central Greece, which is a
drought-prone agricultural region characterized by vulnerable agriculture.
Several drought features are analyzed and assessed by using monthly RDI
images over the period 1981–2001: severity, areal extent, duration,
periodicity, onset and end time. The results show an increase in the areal
extent during each drought episode and that droughts are classified into two
classes, namely small areal extent drought and large areal extent drought,
respectively, lasting 12 or 13 months coinciding closely with the hydrological
year. The onset of large droughts coincides with the beginning of the
hydrological year, whereas the onset of small droughts is in spring. During
each drought episode, the maximum occurs usually in the summer and they all
last until the end of the hydrological year. This finding could justify an
empirical prognostic potential of drought assessment. |
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