Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
GH Mohammed, R Colombo, EM Middleton… - Remote sensing of …, 2019 - Elsevier
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front
in terrestrial vegetation science, with emerging capability in space-based methodologies …
in terrestrial vegetation science, with emerging capability in space-based methodologies …
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 …
Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations
Plant pathogens cause significant losses to agricultural yields and increasingly threaten
food security, ecosystem integrity and societies in general,,–. Xylella fastidiosa is one of the …
food security, ecosystem integrity and societies in general,,–. Xylella fastidiosa is one of the …
The global distribution of leaf chlorophyll content
Leaf chlorophyll is central to the exchange of carbon, water and energy between the
biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper …
biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper …
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 …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle
Two critical limitations for using current satellite sensors in real-time crop management are
the lack of imagery with optimum spatial and spectral resolutions and an unfavorable revisit …
the lack of imagery with optimum spatial and spectral resolutions and an unfavorable revisit …
Amazon forests maintain consistent canopy structure and greenness during the dry season
The seasonality of sunlight and rainfall regulates net primary production in tropical forests.
Previous studies have suggested that light is more limiting than water for tropical forest …
Previous studies have suggested that light is more limiting than water for tropical forest …
A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products
One of the primary variables affecting ignition and spread of wildfire is fuel moisture content
(FMC). Live FMC (LFMC) is responsive to long term climate and plant adaptations to …
(FMC). Live FMC (LFMC) is responsive to long term climate and plant adaptations to …