Hyperspectral remote sensing in precision agriculture: Present status, challenges, and future trends

P Singh, PC Pandey, GP Petropoulos… - Hyperspectral remote …, 2020 - Elsevier
The rapid development of remote sensing has made it possible to study environmental
processes and changes in agriculture and also to provide important assistance in relevant …

Spectral analysis of wetlands using multi-source optical satellite imagery

M Amani, B Salehi, S Mahdavi, B Brisco - ISPRS journal of photogrammetry …, 2018 - Elsevier
The separability of wetland types using different spectral bands is an important subject,
which has not yet been well studied in most countries. This is particularly of interest in …

Assessment of weed classification using hyperspectral reflectance and optimal multispectral UAV imagery

NN Che'Ya, E Dunwoody, M Gupta - Agronomy, 2021 - mdpi.com
Weeds compete with crops and are hard to differentiate and identify due to their similarities
in color, shape, and size. In this study, the weed species present in sorghum (sorghum …

Machine learning techniques for predicting crop photosynthetic capacity from leaf reflectance spectra

D Heckmann, U Schlüter, APM Weber - Molecular plant, 2017 - cell.com
Harnessing natural variation in photosynthetic capacity is a promising route toward yield
increases, but physiological phenotyping is still too laborious for large-scale genetic …

Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression

E Adam, O Mutanga, EM Abdel-Rahman… - International journal of …, 2014 - Taylor & Francis
Accurate estimates of papyrus (Cyperus papyrus) biomass are critical for an efficient
papyrus swamp monitoring and management system. The objective of this study was to test …

Evaluating the performance of hyperspectral leaf reflectance to detect water stress and estimation of photosynthetic capacities

JJ Zhou, YH Zhang, ZM Han, XY Liu, YF Jian, CG Hu… - Remote Sensing, 2021 - mdpi.com
Advanced techniques capable of early, rapid, and nondestructive detection of the impacts of
drought on fruit tree and the measurement of the underlying photosynthetic traits on a large …

Heavy metal soil contamination detection using combined geochemistry and field spectroradiometry in the United Kingdom

S Lamine, GP Petropoulos, PA Brewer, NEI Bachari… - Sensors, 2019 - mdpi.com
Technological advances in hyperspectral remote sensing have been widely applied in
heavy metal soil contamination studies, as they are able to provide assessments in a rapid …

Identification of Amaranthus Species Using Visible-Near-Infrared (Vis-NIR) Spectroscopy and Machine Learning Methods

SI Sohn, YJ Oh, S Pandian, YH Lee, JLZ Zaukuu… - Remote Sensing, 2021 - mdpi.com
The feasibility of rapid and non-destructive classification of six different Amaranthus species
was investigated using visible-near-infrared (Vis-NIR) spectra coupled with chemometric …

Towards a standard plant species spectral library protocol for vegetation mapping: A case study in the shrubland of Doñana National Park

M Jiménez, R Díaz-Delgado - ISPRS International Journal of Geo …, 2015 - mdpi.com
One of the main applications of field spectroscopy is the generation of spectral libraries of
Earth's surfaces or materials to support mapping activities using imaging spectroscopy. To …

Optimizing the timing of unmanned aerial vehicle image acquisition for applied mapping of woody vegetation species using feature selection

G Weil, IM Lensky, YS Resheff, N Levin - Remote Sensing, 2017 - mdpi.com
Most recent studies relating to the classification of vegetation species on the individual level
use cutting-edge sensors and follow a data-driven approach, aimed at maximizing …