Preclassification as an aid to the improvement of thematic and spatial accuracy in land cover maps derived from satellite imagery

Remote Sensing of Environment

Volumn 75, Issue 2, 2001, Pages 267-278

  Watson, Niall ^a   Wilcock, David ^b  

^a Farming and Rural Conservation Agency   (United Kingdom)

^b UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION; ECOLOGY; LAND COVER; LANDSAT THEMATIC MAPPER; SATELLITE IMAGERY; SPATIAL ANALYSIS;

EID: 0035139459     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(00)00172-3     Document Type: Article

References (22)

1. Lumped catchment models
2. A stratification system for ecological sampling
3. A review of assessing the accuracy of classifications of remotely-sensed data
4. Assessing map accuracy in a remotely-sensed, eco-region cover map
5. The land cover map of Great Britain; an automated classification of Landsat Thematic Mapper data
6. The derivation of global estimates from a confusion matrix
7. Integration of spatial context information in an experimental knowledge-based system and the supervised relaxation algorithm - Two successful approaches to improving SPOT-XS classification
8. Method to improve classification with shape information
9. Monitoring losses of semi-natural vegetation to agricultural grassland from satellite imagery in the Antrim Coast and Glens AONB, Northern Ireland