Assessment of Leaf Area Index Models Using Harmonized Landsat and Sentinel-2 Surface Reflectance Data over a Semi-Arid Irrigated Landscape

Assessment of Leaf Area Index Models Using Harmonized Landsat and Sentinel-2 Surface Reflectance Data over a Semi-Arid Irrigated Landscape

Leaf area index (LAI) is an essential indicator of crop development and growth. For many agricultural applications, satellite-based LAI estimates at the farm-level often require near-daily imagery at medium to high spatial resolution. The combination of data from different ongoing satellite missions...

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Bibliographic Details
Main Authors:	Roya Mourad, Hadi Jaafar, Martha Anderson, Feng Gao
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Remote Sensing
Subjects:	vegetation indices machine learning Harmonized Landsat and Sentinel-2 (HLS) Sentinel Application Platform Software (SNAP)
Online Access:	https://www.mdpi.com/2072-4292/12/19/3121

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