A Novel Strategy to Reconstruct NDVI Time-Series with High Temporal Resolution from MODIS Multi-Temporal Composite Products

Vegetation indices (VIs) data derived from satellite imageries play a vital role in land surface vegetation and dynamic monitoring. Due to the excessive noises (e.g., cloud cover, atmospheric contamination) in daily VI data, temporal compositing methods are commonly used to produce composite data to...

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Autori principali:	Linglin Zeng, Brian D. Wardlow, Shun Hu, Xiang Zhang, Guoqing Zhou, Guozhang Peng, Daxiang Xiang, Rui Wang, Ran Meng, Weixiong Wu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-04-01
Serie:	Remote Sensing
Soggetti:	MODIS NDVI multi-temporal composite products daily time-series reconstruction DAVIR-MUTCOP method
Accesso online:	https://www.mdpi.com/2072-4292/13/7/1397
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