Recent advances of hyperspectral imaging technology and applications in agriculture
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …
morphological and physiological status and supporting practices in precision farming. In …
Remote sensing of grassland production and management—A review
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 …
production. The usage type, use intensity and condition of grasslands are often unclear …
Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
Grassland degradation has accelerated in recent decades in response to increased climate
variability and human activity. Rangeland and grassland conditions directly affect forage …
variability and human activity. Rangeland and grassland conditions directly affect forage …
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …
planned imaging spectrometers, will unleash an unprecedented data stream. The …
Satellite remote sensing of grasslands: from observation to management
Aims Grasslands are the world's most extensive terrestrial ecosystem, and are a major feed
source for livestock. Meeting increasing demand for meat and other dairy products in a …
source for livestock. Meeting increasing demand for meat and other dairy products in a …
Foliar functional traits from imaging spectroscopy across biomes in eastern North America
Foliar functional traits are widely used to characterize leaf and canopy properties that drive
ecosystem processes and to infer physiological processes in Earth system models. Imaging …
ecosystem processes and to infer physiological processes in Earth system models. Imaging …
Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods–A comparison
J Verrelst, JP Rivera, F Veroustraete… - ISPRS Journal of …, 2015 - Elsevier
Given the forthcoming availability of Sentinel-2 (S2) images, this paper provides a
systematic comparison of retrieval accuracy and processing speed of a multitude of …
systematic comparison of retrieval accuracy and processing speed of a multitude of …
Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL …
S Jay, F Maupas, R Bendoula, N Gorretta - Field Crops Research, 2017 - Elsevier
Remote sensing has gained much attention for agronomic applications such as crop
management or yield estimation. Crop phenotyping under field conditions has recently …
management or yield estimation. Crop phenotyping under field conditions has recently …
Machine learning based hyperspectral image analysis: a survey
Hyperspectral sensors enable the study of the chemical properties of scene materials
remotely for the purpose of identification, detection, and chemical composition analysis of …
remotely for the purpose of identification, detection, and chemical composition analysis of …
Inversion of the PROSAIL model to estimate leaf area index of maize, potato, and sunflower fields from unmanned aerial vehicle hyperspectral data
Leaf area index (LAI) is a key variable for modeling energy and mass exchange between the
land surface and the atmosphere. Inversion of physically based radiative transfer models is …
land surface and the atmosphere. Inversion of physically based radiative transfer models is …