Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets

Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets

For large areas, it is difficult to assess the spatial distribution and inter-annual variation of crop acreages through field surveys. Such information, however, is of great value for governments, land managers, planning authorities, commodity traders and environmental scientists. Time series of coa...

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Bibliographic Details
Main Authors: Felix Rembold, Clement Atzberger
Format: Article
Language:English
Published: MDPI AG 2013-03-01
Series:Remote Sensing
Subjects:
soft classification
non-linear unmixing
winter wheat
neural network
time series
crop rotation pattern
crop acreage
Online Access:http://www.mdpi.com/2072-4292/5/3/1335

Internet

http://www.mdpi.com/2072-4292/5/3/1335

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