DYNAC: A framework for the dynamic derivation of the usle C-factor using high temporal multi-spectral satellite imagery

Author

Moller, M. ; Gerstmann, H. ; Wurbs, D. ; Glaber, C.

Author_Institution

Dept. of Remote Sensing & Cartography, Univ. Halle-Wittenberg, Halle, Germany

fYear

2014

fDate

13-18 July 2014

Firstpage

5072

Lastpage

5075

Abstract

The DynaC framework aims at the up-to-date derivation of the parcel-specific cover management factor as a temporally dynamic input parameter for soil erosion modeling. Parcel boundaries and parcels´ fractional vegetation coverages (FV C) result from the analysis of multi-spectral and multitemporal satellite imagery. The FV C modeling results are validated by digital pictures taken from representative samples on selected parcels. The samples´ locations are chosen within classified topographic positions for which a relation to FV C degrees is assumed.

Keywords

erosion; soil; topography (Earth); vegetation; DynaC framework; FVC degree; FVC modeling; USLE C-factor dynamic derivation; classified topographic position; digital picture; high temporal multispectral satellite imagery; multispectral satellite imagery analysis; multitemporal satellite imagery analysis; parcel boundary; parcel fractional vegetation coverage; sample location; soil erosion modeling; temporally dynamic input parameter; up-to-date parcel-specific cover management factor derivation; Agriculture; Economics; Mathematical model; Remote sensing; Satellites; Soil; Vegetation mapping; NDVI; RapidEye; Soil erosion; fractional vegetation coverage; parcel detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947637

Filename

6947637