SPOT HRV data to discriminate grassland quality
作者:
COLETTEM. GIRARD,
MARC BENOIT,
EMMANUELDE VAUBERNIER,
PAULJ. CURRAN,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1990)
卷期:
Volume 11,
issue 12
页码: 2253-2267
ISSN:0143-1161
年代: 1990
DOI:10.1080/01431169008955173
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Information on grassland quality is required to assess the impact of agricultural policy in Europe. Field methods are time-consuming and local in scope, but may provide a basis from which to extrapolate using remotely sensed data. For thirty-eight fields in the Lorraine region of France floristic descriptions, agricultural observations, biomass, ground radiometric data and SPOT HRV data were collected during June, July and September 1986 and April 1987. Agronomical and phytosociological classifications of grassland management type and by inference grassland quality, yielded similar results but the phytosociological method was preferred as it could be quantified. Ground radiometric data and SPOT HRV data for all four seasons were used successfully to discriminate grassland quality but stratification by grassland quality did not increase the degree of correlation between remotely sensed data and vegetation amount. This research highlights the potential that exists for using SPOT HRV data, in conjunction with a phytosociological classification of grassland quality, to classify and then monitor, the quality of grasslands in Europe.
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