An Optimal Sampling Design for Observing and Validating Long-Term Leaf Area Index with Temporal Variations in Spatial Heterogeneities

An Optimal Sampling Design for Observing and Validating Long-Term Leaf Area Index with Temporal Variations in Spatial Heterogeneities

A sampling strategy to define elementary sampling units (ESUs) for an entire site at the kilometer scale is an important step in the validation process for moderate-resolution leaf area index (LAI) products. Current LAI-sampling strategies are unable to consider the vegetation seasonal changes and a...

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Bibliographic Details
Main Authors: Yelu Zeng, Jing Li, Qinhuo Liu, Yonghua Qu, Alfredo R. Huete, Baodong Xu, Geofei Yin, Jing Zhao
Format: Article
Language:English
Published: MDPI AG 2015-01-01
Series:Remote Sensing
Subjects:
leaf area index
wireless sensor network
sampling optimization
a priori information
heterogeneous vegetated areas
temporal variations
Online Access:http://www.mdpi.com/2072-4292/7/2/1300

Internet

http://www.mdpi.com/2072-4292/7/2/1300

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