Review on Convolutional Neural Networks (CNN) in vegetation remote sensing

T Kattenborn, J Leitloff, F Schiefer, S Hinz - ISPRS journal of …, 2021 - Elsevier
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 …

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 …

Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods

J Verrelst, Z Malenovský, C Van der Tol… - Surveys in …, 2019 - Springer
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …

Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations

PJ Zarco-Tejada, C Camino, PSA Beck, R Calderon… - Nature Plants, 2018 - nature.com
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 …

The global distribution of leaf chlorophyll content

H Croft, JM Chen, R Wang, G Mo, S Luo, X Luo… - Remote Sensing of …, 2020 - Elsevier
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 …

Evaluation of the PROSAIL model capabilities for future hyperspectral model environments: A review study

K Berger, C Atzberger, M Danner, G D'Urso, W Mauser… - Remote Sensing, 2018 - mdpi.com
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 …

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 …

Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle

JAJ Berni, PJ Zarco-Tejada, L Suárez… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
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 …

Amazon forests maintain consistent canopy structure and greenness during the dry season

DC Morton, J Nagol, CC Carabajal, J Rosette… - Nature, 2014 - nature.com
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 …

A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products

M Yebra, PE Dennison, E Chuvieco, D Riaño… - Remote Sensing of …, 2013 - Elsevier
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 …