Fine spatial resolution satelite sensor imagery for land cover mapping in the United Kingdom

Aplin, P, Atkinson, P.M. and Curran, P.J. (1999) Fine spatial resolution satelite sensor imagery for land cover mapping in the United Kingdom Remote Sensing of Environment, 68, (3), pp. 206-216. (doi:10.1016/S0034-4257(98)00112-6).


[img] PDF Aplin_et_al_RSE_1999.pdf - Other
Restricted to Registered users only

Download (3MB)


This article presents a set of techniques developed to classify land cover on a per-parcel (herein termed per-field) basis by integrating fine spatial resolution simulated satellite sensor imagery with digital vector data. Classification, based on the spectral and spatial properties of the imagery, was carried out on a per-pixel basis. The resulting classified images were then integrated with vector data to classify on a per-field basis. Four tools were adopted or developed to increase the accuracy and utility of the per-field classification and a fifth was proposed. The spectral variability within agricultural fields resulted in misclassification within the per-pixel classification, and this was overcome using a per-field classification. Mixed land cover in urban areas also resulted in misclassification. A low pass smoothing filter and a "texture" filter applied to the per-pixel classified image increased the classification accuracy of this land cover prior to per-field classification. The flexibility of the integration process enabled the exploitation of spectral and spatial variation between pixels within individual parcels to produce new classes during per-field classification and to identify fields with a high likelihood of misclassification.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/S0034-4257(98)00112-6
ISSNs: 0034-4257 (print)
ePrint ID: 17325
Date :
Date Event
Date Deposited: 24 Aug 2005
Last Modified: 16 Apr 2017 23:16
Further Information:Google Scholar

Actions (login required)

View Item View Item