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Combined Use of Multi-seasonal High and Medium Resolution Satellite Imagery for Parcel-related Updating of Crop- and Grassland Distribution.

Esch, Thomas and Metz, Annekatrin and Keil, Manfred and Marconcini, Mattia (2013) Combined Use of Multi-seasonal High and Medium Resolution Satellite Imagery for Parcel-related Updating of Crop- and Grassland Distribution. International Journal of Applied Earth Observation and Geoinformation, 28, pp. 230-237. Elsevier. DOI: 10.1016/j.jag.2013.12.007 ISSN 0303-2434

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Abstract

A key factor in the implementation of productive and sustainable cultivation procedures is the frequent and area-wide monitoring of cropland and grassland. In particular, attention is focused on assessing the actual status, identifying basic trends and mitigating major threats with respect to landuse intensity and its changes in agricultural and semi-natural areas. Here, multi-seasonal analyses based on satellite Earth observation (EO) data can provide area-wide, spatially detailed and up-to-date geo-information on the distribution and intensity of land use in agricultural and grassland areas. This study introduces the combined use of multi-seasonal high (HR) and medium resolution (MR) satellite imagery for both a land parcel-based determination of crop types as well as a cropland and grassland differentiation, respectively. First, HR IRS-P6 LISS-3 imagery is used to delineate the field parcels in potential agricultural and grassland areas. Next, a stack of seasonality indices is generated based on 5 image acquisitions (i.e., two LISS scenes and three MR IRS-P6 AWiFS scenes). Finally, a C5.0 tree classifier is applied to identify main crop types and grassland based on the input imagery and the derived seasonality indices. The classifier is trained using sample points provided by the European Land Use/Cover Area Frame Survey (LUCAS). Experimental results for a test area in Germany assess the effectiveness of the proposed approach and demonstrate that a multi-scale and multi-temporal analysis of satellite data can provide spatially detailed and thematically accurate geo-information on crop types and the cropland-grassland distribution, respectively.

Item URL in elib:https://elib.dlr.de/83316/
Document Type:Article
Title:Combined Use of Multi-seasonal High and Medium Resolution Satellite Imagery for Parcel-related Updating of Crop- and Grassland Distribution.
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Metz, AnnekatrinAnnekatrin.Metz (at) dlr.deUNSPECIFIED
Keil, Manfredmanfred.keil (at) dlr.deUNSPECIFIED
Marconcini, Mattiamattia.marconcini (at) dlr.deUNSPECIFIED
Date:2013
Journal or Publication Title:International Journal of Applied Earth Observation and Geoinformation
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:28
DOI :10.1016/j.jag.2013.12.007
Page Range:pp. 230-237
Publisher:Elsevier
Series Name:Special Issue "EO agriculture and agri-env monitoring”
ISSN:0303-2434
Status:Published
Keywords:EO, seasonality, multi-temporal, multi-scale, crops, grasland
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Esch, Dr.rer.nat. Thomas
Deposited On:17 Jul 2013 13:46
Last Modified:06 Sep 2019 15:16

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