AVHRR composite period selection for land cover classification

Autor:	P. L. Chapman, R. M. Hoffer, S. K. Maxwell
Rok vydání:	2002
Předmět:	Cover (telecommunications) Advanced very-high-resolution radiometer Composite number General Earth and Planetary Sciences Environmental science Radiometry Vegetation Land cover Cartography Selection (genetic algorithm) Multispectral pattern recognition Remote sensing
Zdroj:	International Journal of Remote Sensing. 23:5043-5059
ISSN:	1366-5901 0143-1161
DOI:	10.1080/01431160210145579
Popis:	Multitemporal satellite image datasets provide valuable information on the phenological characteristics of vegetation, thereby significantly increasing the accuracy of cover type classifications compared to single date classifications. However, the processing of these datasets can become very complex when dealing with multitemporal data combined with multispectral data. Advanced Very High Resolution Radiometer (AVHRR) biweekly composite data are commonly used to classify land cover over large regions. Selecting a subset of these biweekly composite periods may be required to reduce the complexity and cost of land cover mapping. The objective of our research was to evaluate the effect of reducing the number of composite periods and altering the spacing of those composite periods on classification accuracy. Because inter-annual variability can have a major impact on classification results, 5 years of AVHRR data were evaluated. AVHRR biweekly composite images for spectral channels 1-4 (visible, nearinfrared a...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cb84d5a55c823812a48b4a63cfb889e0 https://doi.org/10.1080/01431160210145579 Zobrazit plný text záznamu