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 …
An overview of global leaf area index (LAI): Methods, products, validation, and applications
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …
feedback of vegetation to the climate system. The advancement of the global Earth …
Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
Survey of hyperspectral earth observation applications from space in the sentinel-2 context
In the last few decades, researchers have developed a plethora of hyperspectral Earth
Observation (EO) remote sensing techniques, analysis and applications. While …
Observation (EO) remote sensing techniques, analysis and applications. While …
Evaluation of the PROSAIL model capabilities for future hyperspectral model environments: A review study
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 …
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …
[HTML][HTML] Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
Hyperspectral acquisitions have proven to be the most informative Earth observation data
source for the estimation of nitrogen (N) content, which is the main limiting nutrient for plant …
source for the estimation of nitrogen (N) content, which is the main limiting nutrient for plant …
[HTML][HTML] Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops
With an upcoming unprecedented stream of imaging spectroscopy data, there is a rising
need for tools and software applications exploiting the spectral possibilities to extract …
need for tools and software applications exploiting the spectral possibilities to extract …
[HTML][HTML] Current advances in imaging spectroscopy and its state-of-the-art applications
Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single
system and has gained widespread acceptance as a non-destructive scientific instrument for …
system and has gained widespread acceptance as a non-destructive scientific instrument for …
Inversion of maize leaf area index from UAV hyperspectral and multispectral imagery
The accurate estimation of Leaf area index (LAI) is of great importance for evaluating crop
growth in precision agriculture. Although previous studies have confirmed great advantages …
growth in precision agriculture. Although previous studies have confirmed great advantages …
A survey of active learning for quantifying vegetation traits from terrestrial earth observation data
The current exponential increase of spatiotemporally explicit data streams from satellite-
based Earth observation missions offers promising opportunities for global vegetation …
based Earth observation missions offers promising opportunities for global vegetation …