Recent advances of hyperspectral imaging technology and applications in agriculture

B Lu, PD Dao, J Liu, Y He, J Shang - Remote Sensing, 2020 - mdpi.com
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review

J Verrelst, G Camps-Valls, J Muñoz-Marí… - ISPRS Journal of …, 2015 - Elsevier
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …

Remote sensing of grassland production and management—A review

S Reinermann, S Asam, C Kuenzer - Remote Sensing, 2020 - mdpi.com
Grasslands cover one third of the earth's terrestrial surface and are mainly used for livestock
production. The usage type, use intensity and condition of grasslands are often unclear …

Machine learning based hyperspectral image analysis: a survey

UB Gewali, ST Monteiro, E Saber - arxiv preprint arxiv:1802.08701, 2018 - arxiv.org
Hyperspectral sensors enable the study of the chemical properties of scene materials
remotely for the purpose of identification, detection, and chemical composition analysis of …

[HTML][HTML] Application of Sentinel-2A data for pasture biomass monitoring using a physically based radiative transfer model

SM Punalekar, A Verhoef, TL Quaife… - Remote Sensing of …, 2018 - Elsevier
A large proportion of the global land surface is covered by pasture. The advent of the
Sentinel satellites program provides free datasets with good spatiotemporal resolution that …