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Can I read VNAI-NDVI-space and polar coordinate method for assessing crop leaf chlorophyll content and fractional cover on EtoBox?
VNAI-NDVI-space and polar coordinate method for assessing crop leaf chlorophyll content and fractional cover by Jibo Yue; Jia Tian; William Philpot; Qingjiu Tian; Haikuan Feng; Yuanyuan Fu is a Agricultural and Biological Sciences article available to read on EtoBox.
What is VNAI-NDVI-space and polar coordinate method for assessing crop leaf chlorophyll content and fractional cover about?
Crop leaf chlorophyll content (CC) and fractional cover (fc) are critical parameters for assessing crop growth and dynamic vegetation changes at regional and global scales. As CC and fc are the key factors dominating crop canopy reflectance, the confounding effects of CC and fc on canopy vegetation spectra and spectral indices (SIs) limit their remote sensing estimation. We combined the Normalized Difference Vegetation Index (NDVI) and Visible and near-infrared (NIR) Angle Index (VNAI) to understand the vegetation canopy SI differences caused by CC and fc (abbreviated as VNAI-NDVI-space). The VNAI-NDVI-space is approximately fan-shaped with high-CC and low-CC edges; the pixels inside the fan-shaped space represent crops with various CC and fc. We proposed a Polar Coordinate method (PCM) for assessing CC and fc. The performance of the VNAI-NDVI-space in assessing CC and fc was tested using a field-based spectrometer and an unmanned aerial vehicle (UAV)-based imaging spectrometer measurement for three soybean fields and six growth stages. Analysis of this imaging led to three conclusions: (i) The VNAI-NDVI-space can be used to analyze the confounding effects of CC and fc on crop cano
Who reads VNAI-NDVI-space and polar coordinate method for assessing crop leaf chlorophyll content and fractional cover?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- Jibo Yue; Jia Tian; William Philpot; Qingjiu Tian; Haikuan Feng; Yuanyuan Fu
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Agricultural and Biological Sciences (Physical Sciences)
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