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Special Issue "Hyperspectral Remote Sensing of Agriculture and Vegetation"
2020
Remote Sensing
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well as for a more accurate prediction of plant nutrient using existing and forthcoming hyperspectral remote sensing technologies. ...
The studies published herein can be used by the agriculture and vegetation research and management communities to improve the characterization and evaluation of biophysical variables and processes, as ...
Author Contributions: All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding. ...
doi:10.3390/rs12213665
fatcat:gytkzxtlbvcbhbeydlotuubpbm
Application of a regularized model inversion system (REGFLEC) to multi-temporal RapidEye imagery for retrieving vegetation characteristics
2015
Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII
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Accurate retrieval of canopy biophysical and leaf biochemical constituents from space observations is critical to diagnosing the functioning and condition of vegetation canopies across spatio-temporal ...
However significant challenges remain in the translation of composite remote sensing signals into useful biochemical, physiological or structural quantities and treatment of confounding factors in spectrum-trait ...
ACKNOWLEDGEMENTS Research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST). ...
doi:10.1117/12.2196378
fatcat:2q3bjrzh35hctfno3leftobvlm
Estimation of Biomass and Leaf Area Index in the Western Ghats Forest Ecosystem by the Integrated Analysis of Hyperspectral Data and Space Borne LiDAR Data
2019
Journal of Geography Environment and Earth Science International
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The integration of LiDAR data with multispectral remote sensing has limitations in the case of spectral information abundance. ...
It is recommended to have continuous retrieval of LiDAR foot prints instead of discrete, to make modelling of the biophysical parameters a little more effective. ...
Several studies showed the estimation of biophysical parameters by the fusion of optical as well as LiDAR data [15, 16] . Multispectral remote sensing is limited by the number of bands. ...
doi:10.9734/jgeesi/2019/v19i430090
fatcat:ggpds3xxy5d33kru3stybjllxm
A Meta-Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization
2022
Remote Sensing
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In particular, researchers have investigated the potential of various analytical methods to determine a range of crop parameters using remote sensing data and methods. ...
This paper reviews and analyzes publications from the past 30 years to identify trends in crop monitoring research using remote sensing data and tools. ...
Moreover, the cost of gathering LiDAR data is typically high. Various review studies, summarized in Table 1 , have documented the potential of remote sensing to retrieve crop biophysical parameters. ...
doi:10.3390/rs14225633
fatcat:pf54xei3x5d27ae7bed3r3agci
Advances in remote sensing of vegetation function and traits
2015
International Journal of Applied Earth Observation and Geoinformation
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Remote sensing of vegetation function and traits has advanced significantly over the past half-century in the capacity to retrieve useful plant biochemical, physiological and structural quantities across ...
However, the translation of remote sensing signals into meaningful descriptors of vegetation function and traits is still associated with large uncertainties due to complex interactions between leaf, canopy ...
RH acknowledges funding support from the King Abdullah University of Science (KAUST). ...
doi:10.1016/j.jag.2015.06.001
fatcat:jmq3tyb6p5aixefy7o4fgehsry
Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study
2018
Remote Sensing
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Since remote sensing data from airborne and satellite-based platforms have become increasingly available from the late 1980s, these models have also been exploited for the derivation of biophysical surface ...
and (iv) choice of retrieval methods. ...
The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. ...
doi:10.3390/rs10010085
fatcat:6pepgyohvnhoredguwdyvn6xtq
Retrieval of Leaf Area Index Using Sentinel-2 Imagery in A Mixed Mediterranean Forest Area
2020
ISPRS International Journal of Geo-Information
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Improvements in remote sensing instrumental characteristics and the availability of more efficient statistical algorithms, elevate the potential for more accurate models of vegetation biophysical properties ...
The model resulting from spectral indices' variables selection produced the most precise predictions of LAI with a coefficient of determination of 0.854. ...
Acknowledgments: The Sentinel-2 MSI data were available from the European Space Agency at no-cost. ...
doi:10.3390/ijgi9110622
fatcat:nomfhbp5hzfrbg4potvsyz5gj4
Optical Remote Sensing for Biophysical Characterisation in Forests: A Review
2019
International Journal of Applied Engineering Research
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Numerous approaches and data sources have been used to estimate the biophysical parameters. ...
The limitations of optical remote sensing in the estimation of forest structural parameters lead to the advancement of active remote sensing forest mensuration. ...
Acknowledgement The first author is supported by Kerala State Council for Science Technology and Environment (KSCSTE), Thiruvananthapuram, India (Grant No:042/FSHP-ENV/2015/KSCSTE) in the form of a fellowship ...
doi:10.37622/ijaer/14.2.2019.344-354
fatcat:3q4ydjylgbferasqyfnxkpkk24
Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites
2018
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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2020 pre-print arXiv:2012.05367v1 fatcat:tnwl62mlczcx3has43uvhoqftm
A novel approach has been developed for the joint retrieval of three parameters (LAI, FVC, and FAPAR) instead of training one model per parameter. ...
We describe the methodology applied for the retrieval of global LAI, FAPAR and FVC from Advanced Very High Resolution Radiometer (AVHRR) onboard the Meteorological-Operational (MetOp) polar orbiting satellites ...
INTRODUCTION The main purpose of the LSA-SAF is to develop and implement algorithms that allow an operational use of land surface variables taking full advantage of remotely sensed data from EUMETSAT satellites ...
doi:10.1109/igarss.2018.8518083
dblp:conf/igarss/Garcia-HaroCMSG18
fatcat:klroprlqjvevjh7ofxsgdy6gfe
Northern Peatland Vegetation and the Carbon Cycle: A Remote Sensing Approach
[chapter]
2013
Carbon Cycling in Northern Peatlands
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However, there remain a number of methodological challenges, which limit the effectiveness of remote sensing data in some instances. ...
In this paper we review and evaluate many existing and emerging remote sensing approaches used to retrieve peatland land-surface data of relevance to the carbon cycle. ...
Acknowledgements The reviewers are thanked for their help in improving an earlier version of this manuscript. ...
doi:10.1029/2008gm000818
fatcat:yfv7vbnqtzcerkvyuomtu7mnxe
Improved retrieval of land surface biophysical variables from time series of Sentinel-3 OLCI TOA spectral observations by considering the temporal autocorrelation of surface and atmospheric properties
2021
Remote Sensing of Environment
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remote sensing is crucial for a quantitative understanding of the Earth system. ...
We apply this retrieval algorithm to Sentinel-3 Ocean and Land Colour Instrument (OLCI) satellite data to derive land surface biophysical variables with a focus on leaf area index (LAI) from top-of-atmosphere ...
Egor Prikaziuk has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 721995. ...
doi:10.1016/j.rse.2021.112328
fatcat:lbpa4fctxfgv7k6iypbzasrf2i
Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges
2019
Remote Sensing
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Without a quantitative method for effectively monitoring biophysical parameters and carbon stocks in mangroves, robust policies and actions for sustainably conserving mangroves in the context of climate ...
Remote sensing approaches have been proven effective for mapping mangrove species, estimating their biomass, and assessing changes in their extent. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs11030230
fatcat:xgxftojh5vdfhgkpqcwehgbkwa
Use of coupled canopy structure dynamic and radiative transfer models to estimate biophysical canopy characteristics
2005
Remote Sensing of Environment
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The retrieval performances were evaluated for two different data sets: first, a data set simulated by the RTM but taking into account realistic measurement conditions and uncertainties resulting from different ...
The LAI could thus provide vital information for the management of the environment and agricultural practices when estimated continuously over time and space thanks to remote sensing sensors. ...
It is therefore required to develop methods capable to accurately retrieve canopy biophysical variables such as LAI from the reflectance signal recorded by remote sensing platforms. ...
doi:10.1016/j.rse.2004.11.017
fatcat:2ovcrzfravahpguosueaqmu43i
Recent Advances in Remote Spectral Sensing
2016
Journal of Sensors
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The authors also proposed a method to calculate the tree parameters using a cost function and information from shadows. ...
Remote sensing and its applications have gained more and more attention from researchers in recent years. ...
It was concluded that Sentinel-2 satellite data has great potential in accurately retrieving biophysical parameters from space.
Chiman Kwan Hairong Qi Trac Tran ...
doi:10.1155/2016/6125729
fatcat:juocvsuqtbgdzioieo47bfhnmq
Evaluation and Exploitation of Retrieval Algorithms for Estimating Biophysical Crop Variables Using Sentinel-2, Venus, and PRISMA Satellite Data
2020
Journal of Geodesy and Geoinformation Science
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useful for an accurate retrieving of crop biophysical parameters. ...
This paper is devoted to the development and testing of the optimal procedures for retrieving biophysical crop variables by exploiting the spectral information of current multispectral optical satellite ...
Ｔｏ ｔｈｉｓ ａｉｍꎬ ｗｅ ａｐｐｌｉｅｄ ｔｈｅ ＰＲＯＳＡＩＬ ｍｏｄｅｌ ｔｏ ｒｅｔｒｉｅｖｅ ｆｒｏｍ Ｓｅｎｔｉｎｅｌ￣２ ａｎｄ Ｖｅｎｕｓ ｓａｔｅｌｌｉｔｅ ｒｅｍｏｔｅｌｙ ｓｅｎｓｅｄ ｄａｔａ ｔｈｅ ｅｎｓｅｍｂｌｅ ｏｆ ｔｈｅ ｍｏｄｅｌ ｉｎｐｕｔ ｖａｒｉａｂｌｅｓ ( ｂｏｔｈ ｂｉｏｐｈｙｓｉｃａｌ ａｎｄ ｂｉｏｃｈｅｍｉｃａｌ) . ...
doi:10.11947/j.jggs.2020.0408
doaj:b5d502c0199c48fb8542a609a060ff99
fatcat:z6xbztv35zcyfgjlpmjeh4vwom
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