An improved automated land cover updating approach by integrating with downscaled NDVI time series data
作者： Xuehong Chen , Dedi Yang , Jin Chen , Xin Cao
DOI: 10.1080/2150704X.2014.998793
关键词:
摘要: Land cover change monitoring is important for climate and environmental research. An automated approach updating land maps derived from Landsat-like data urgently needed to process large amounts of data. Change detection an part the approach; however, pseudo-changes commonly occur because satellite images acquired in different seasons can capture phenological differences. based on normalized difference vegetation index (NDVI) time series could avoid this problem; nevertheless it suffers much lower spatial resolution NDVI To address issue, study improves by integrating downscaled First, Moderate Resolution Imaging Spectroradiometer (MODIS) at 250-m are 30 m using linear mixing growth model. Then, NDVI-based method used detect changed/unchanged areas, unchanged ...
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