Estimating the crop leaf area index using hyperspectral remote sensing
TLDR
This review provides a comprehensive and intensive overview of crop LAI estimation based on hyperspectral remote sensing techniques, and categorizes the approaches used for crop Los Angeles Index (LAI) estimation into three types: approaches based on statistical models, physical models, and hybrid inversions.About:
This article is published in Journal of Integrative Agriculture.The article was published on 2016-02-01 and is currently open access. It has received 77 citations till now. The article focuses on the topics: Leaf area index & Hyperspectral imaging.read more
Citations
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UAV-based multispectral remote sensing for precision agriculture: a comparison between different cameras.
TL;DR: In this article, a narrowband Mini-MCA6 multispectral camera and a sunshine-sensor-equipped broadband Sequoia multi-spectral camera were mounted on a multi-rotor micro-UAV and used to simultaneously collect multi-spectral imagery and soil-plant analysis development (SPAD) values of maize at multiple sampling points in the field, in addition to the spectral reflectances of six standard diffuse reflectance panels with different reflectance values (45, 20, 30, 40, 60% and 65%) The accuracies of the reflect
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Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study
Katja Berger,Clement Atzberger,Martin Danner,Guido D'Urso,Wolfram Mauser,Francesco Vuolo,Tobias Hank +6 more
TL;DR: The analysis clearly shows that the PROSAIL model is well suited for the analysis of imaging spectrometer data from future satellite missions and that the model should be integrated in appropriate software tools that are being developed in this context for agricultural applications.
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Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models
Huanhuan Yuan,Guijun Yang,Changchun Li,Yanjie Wang,Jiangang Liu,Yu Haiyang,Haikuan Feng,Bo Xu,Zhao Xiaoqing,Xiaodong Yang +9 more
TL;DR: The precision, accuracy, and stability of the RF, ANN, and SVM models were improved by inclusion of STR sampling, and the RF model is suitable for estimating LAI when sample plots and variation are relatively large and more than one growth period.
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A Review of Methods to Improve Nitrogen Use Efficiency in Agriculture
TL;DR: In this article, the authors evaluate methods and tools available to manage nitrogen (N) and advocate using two or more methods in combination when managing N. Several methods, such as soil testing, plant tissue testing, spectral response, fertilizer placement and timing and vegetative indexes (leaf area index, and NDVI) through drones, handheld sensors, and satellite imagery were reviewed on the subject of user-friendly and effectiveness towards NUE.
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Hyperspectral dimensionality reduction for biophysical variable statistical retrieval
TL;DR: The evaluated DR methods no longer excelled when applied to noisy or real sensor data such as HyMap, but it was demonstrated that, in general, biophysical variable retrieval from hyperspectral data can largely benefit from dimensionality reduction in both accuracy and computational efficiency.
References
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Book
Remote Sensing of the Environment: An Earth Resource Perspective
TL;DR: In situ Spectral Reflectance Measurement (new) as mentioned in this paper was used for remote sensing of the environment and vegetation in the urban landscape of the United States, where it has been shown to be useful in soil, minerals, and geomorphology.
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Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
D. Haboudane,John R. Miller,John R. Miller,Elizabeth Pattey,Pablo J. Zarco-Tejada,Ian B. Strachan +5 more
TL;DR: In this paper, a method for minimizing the effect of leaf chlorophyll content on the prediction of green LAI was presented, and new algorithms that adequately predict the LAI of crop canopies.
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Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model
TL;DR: In this article, the scattering and extinction coefficients of the SAIL canopy reflectance model were derived for the case of a fixed arbitrary leaf inclination angle and a random leaf azimuth distribution.
Journal ArticleDOI
A quantitative model-independent method for global sensitivity analysis of model output
TL;DR: In this paper, the Fourier amplitude sensitivity test (FAST) has been extended to include all the interaction terms involving a factor and the main effect of the factor's main effect.
Book
The radiation regime and architecture of plant stands
TL;DR: In this article, the authors investigated the role of plant stands in the study of plant stand architecture and radiation regime and proposed a rational method for determining phytometric characteristics of a stand and productivity.
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