Evaluation of the PROSAIL model capabilities for future hyperspectral model environments: A review study

K Berger, C Atzberger, M Danner, G D'Urso, W Mauser… - Remote Sensing, 2018 - mdpi.com
Upcoming satellite hyperspectral sensors require powerful and robust methodologies for
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …

A review of hybrid approaches for quantitative assessment of crop traits using optical remote sensing: research trends and future directions

A Abdelbaki, T Udelhoven - Remote Sensing, 2022 - mdpi.com
Remote sensing technology allows to provide information about biochemical and
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …

Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery

G Tagliabue, M Boschetti, G Bramati, G Candiani… - ISPRS Journal of …, 2022 - Elsevier
The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …

Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon …

D Li, JM Chen, X Zhang, Y Yan, J Zhu, H Zheng… - Remote Sensing of …, 2020 - Elsevier
Leaf chlorophyll content (LCC), as an important indicator of photosynthetic capacity and
nitrogen status, has been non-destructively estimated from canopy reflectance spectra in …

[HTML][HTML] Retrieval of the canopy chlorophyll content from Sentinel-2 spectral bands to estimate nitrogen uptake in intensive winter wheat cropping systems

C Delloye, M Weiss, P Defourny - Remote Sensing of Environment, 2018 - Elsevier
One of the most common approaches to reducing the environmental impact of nitrogen (N)
fertilisation in intensive agrosystems is to adjust the N input of the crop requirement. This …

Tree species classification using plant functional traits from LiDAR and hyperspectral data

Y Shi, AK Skidmore, T Wang, S Holzwarth… - International Journal of …, 2018 - Elsevier
Plant functional traits have been extensively used to describe, rank and discriminate species
according to their variability between species in classical plant taxonomy. However, the …

[HTML][HTML] Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation …

SK Sinha, H Padalia, A Dasgupta, J Verrelst… - International Journal of …, 2020 - Elsevier
Forests play a vital role in biological cycles and environmental regulation. To understand the
key processes of forest canopies (eg, photosynthesis, respiration and transpiration), reliable …

[HTML][HTML] Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression

O Adeluyi, A Harris, J Verrelst, T Foster… - International Journal of …, 2021 - Elsevier
The growth of rice is a sequence of three different phenological phases. This sequence of
change in rice phenology implies that the condition of the plant during the vegetative phase …

[HTML][HTML] Radiative transfer model inversion using high-resolution hyperspectral airborne imagery–Retrieving maize LAI to access biomass and grain yield

A Kayad, FA Rodrigues Jr, S Naranjo, M Sozzi… - Field Crops …, 2022 - Elsevier
Mapping crop within-field yield variability provide an essential piece of information for
precision agriculture applications. Leaf Area Index (LAI) is an important parameter that …

[HTML][HTML] Prediction of the biogas production using GA and ACO input features selection method for ANN model

T Beltramo, M Klocke, B Hitzmann - Information Processing in Agriculture, 2019 - Elsevier
This paper presents a fast and reliable approach to analyze the biogas production process
with respect to the biogas production rate. The experimental data used for the developed …