Estimating Peanut Leaf Chlorophyll Content with Dorsiventral Leaf Adjusted Indices: Minimizing the Impact of Spectral Differences between Adaxial and Abaxial Leaf Surfaces

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 18; p. 2148
• Main Authors: Xie, Mengmeng, Wang, Zhongqiang, Huete, Alfredo, Brown, Luke A., Wang, Heyu, Xie, Qiaoyun, Xu, Xinpeng, Ding, Yanling
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2019
• Subjects: abaxial; Accuracy; adaxial; Agriculture; Chlorophyll; Data collection; DLARI; Estimation; Laboratories; leaf chlorophyll content; Leaves; Legumes; MDATT; Optical properties; peanut; Peanuts; Reflectance; Remote sensing; Retrieval; spectral reflectance; Vegetation; Wheat; China

Relatively little research has assessed the impact of spectral differences among dorsiventral leaves caused by leaf structure on leaf chlorophyll content (LCC) retrieval. Based on reflectance measured from peanut adaxial and abaxial leaves and LCC measurements, this study proposed a dorsiventral lea...