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The importance of leaf area index in mapping chlorophyll content of corn under different agricultural treatments using UAV images

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TLDR
In this article, the impact of structural parameters of agricultural crops on the retrieval of chlorophyll content presents a real challenge for the remote-sensing community and can differ between c...
Abstract
The impact of structural parameters of agricultural crops on the retrieval of chlorophyll content presents a real challenge for the remote-sensing community. Canopy reflectance can differ between c...

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Journal ArticleDOI

A Review on UAV-Based Applications for Precision Agriculture

TL;DR: The most common applications, the types of UAVs exploited, and the most popular processing methods of aerial imagery are discussed, to discuss the outcomes of each method and the potential applications of each one in the farming operations.
Journal Article

Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass

TL;DR: In this article, the best vegetation indices (index form and wavelengths) were determined on a generic simulated database to estimate CHL, LMA, LAI and Bleaf in a general way.
Journal ArticleDOI

A Review on the Use of Unmanned Aerial Vehicles and Imaging Sensors for Monitoring and Assessing Plant Stresses

TL;DR: A critical overview of the main advancements on the subject of UAVs is presented, focusing on the strategies that have been used to extract the information contained in the images captured during the flights.
Journal ArticleDOI

Red-Edge Band Vegetation Indices for Leaf Area Index Estimation From Sentinel-2/MSI Imagery

TL;DR: This article aims to investigate the feasibility and performance of using red-edge bands for LAI estimates with the VI method and ground-measured LAI data sets, and indicates that the optimal 2-band red- edge VIs and proposed 3-bandred-edge VIs are effective tools for crop LAI estimation in multiple-growth stages with Sentinel-2 MSI images.
Journal ArticleDOI

A bibliometric analysis on the use of unmanned aerial vehicles in agricultural and forestry studies

TL;DR: The UAVs represent one of the most important innovation technologies of the last years; the progress made in the field of sensors has allowed to equip the UAV with vario...
References
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Journal ArticleDOI

Remote sensing of foliar chemistry

TL;DR: In this article, stepwise multiple regression and deconvolution have been used to extract chemical information from foliar spectra, and concludes that both methods are useful, but neither is ideal.
Journal ArticleDOI

Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density

TL;DR: In this paper, the authors used the combined PROSPECT+SAIL model to study the stability of recently proposed vegetation indices (VIs) derived from adjacent narrowband spectral reflectance data across the visible (VIS) and near infrared (NIR) region of the electromagnetic spectrum.
Journal ArticleDOI

Remote estimation of canopy chlorophyll content in crops

TL;DR: In this paper, a conceptual model was applied for remotely estimating chlorophyll content in maize and soybean canopies, and the spectral regions were tuned to be included in the model, according to the optical characteristics of the crops studied.
Journal ArticleDOI

Ratios of leaf reflectances in narrow wavebands as indicators of plant stress

TL;DR: In this paper, the authors evaluated the ratio of leaf reflectance within narrow wavebands (2nm) as indicators of plant stress and determined the wavelength regions in which reflectance was most affected by 8 stress agents among 6 plant species.
Journal ArticleDOI

Estimating leaf biochemistry using the PROSPECT leaf optical properties model

TL;DR: In this paper, the biophysical, biochemical, and optical properties of 63 fresh leaves and 58 dry leaves were measured to investigate the potential of remote sensing to estimate the leaf biochemistry from space.
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