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Regional Leaf Area Index Retrieval Based on Remote Sensing: The Role of Radiative Transfer Model Selection

Gaofei Yin, Jing Li, Qinhuo Liu, Weiliang Fan, Baodong Xu, Yelu Zeng, Jing Zhao
2015 Remote Sensing  
Physically-based approaches for estimating Leaf Area Index (LAI) using remote sensing data rely on radiative transfer (RT) models.  ...  This study aims to evaluate the necessity of RT model selection for LAI retrieval and to propose a retrieval methodology using different RT models for different vegetation types.  ...  Some LAI products have been generated based on remote sensing (RS), for example, the four-day/eight-day 1-km MODIS product [2] , the 10-day 1-km GEOV1 product [3] , the 10-day 1-km CYCLOPES product  ... 
doi:10.3390/rs70404604 fatcat:j6itwbuxdzbxlhxis6ntggoceq

Remote sensing signatures [chapter]

Mathias Kneubühler, Shunlin Liang, Michael Schaepman
2008 Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this chapter, we review the measurements, modelling and applications of these signatures with emphasis on recent advances, and a focus mainly on optical remote sensing.  ...  Signatures from five remote sensing domains-spectral, spatial, angular, temporal and polarization-provide the basis for the description and discrimination of Earth surfaces and their variability.  ...  ACKNOWLDEGMENTS We acknowledge the support of all WG VII/1 members and participants of the spectral signatures conference series contributing to the advancement of this research field.  ... 
doi:10.1201/9780203888445.pt3 fatcat:euec2bv47bfrtnlr42ozkxtvpe

Forest Leaf Mass per Area (LMA) through the Eye of Optical Remote Sensing: A Review and Future Outlook

Tawanda W. Gara, Parinaz Rahimzadeh-Bajgiran, Roshanak Darvishzadeh
2021 Remote Sensing  
Although studies on remote sensing of LMA and related constituents have been conducted for over three decades, a comprehensive review of remote sensing of LMA—a key driver of leaf and canopy reflectance—has  ...  Detailed information on key leaf traits such as leaf mass per area (LMA) is critical for understanding ecosystem structure and functioning, and subsequently the provision of ecosystem services.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13173352 fatcat:ddx6j4fvrbhprf2pchdeohlnji

Optical remote sensing of vegetation: Modeling, caveats, and algorithms

R.B. Myneni, S. Maggion, J. Iaquinta, J.L. Privette, N. Gobron, B. Pinty, D.S. Kimes, M.M. Verstraete, D.L. Williams
1995 Remote Sensing of Environment  
The state-of-the-art on radiative transfer modeling in vegetation canopies and the application of such models to the interpretation and analysis of remotely sensed optical data is summarized.  ...  Modeling of top-of-the-atmosphere and top-of-the-canopy radiance field is developed as boundary value problems in radiative transfer.  ...  In vegetation remote sensing one can make a distinction between radiation model parameters (leaf area index, leaf and soil optical properties, etc.) and surface state parameters (spectral albedos and radiation  ... 
doi:10.1016/0034-4257(94)00073-v fatcat:qi7ncax7m5dwnb6geagehqotwm

Crop Yield Assessment from Remote Sensing

Paul C. Doraiswamy, Sophie Moulin, Paul W. Cook, Alan Stern
2003 Photogrammetric Engineering and Remote Sensing  
A radiative transfer model, SAIL (Scattered by Arbitrary Inclined Leaves), provided the link between the satellite data and crop model.  ...  The input parameters derived from remotely sensed data provided spatial integrity, as well as a real-time calibration of model simulated parameters during the season, to ensure that the modeled and observed  ...  Acknowledgments The authors wish to acknowledge Mr. Rick Mueller of USDA/ NASS for assistance provided in the classification of the spring wheat using the Landsat TM data.  ... 
doi:10.14358/pers.69.6.665 fatcat:vrqrp5u7dfab3gi2x3oc4eefza

In situ data supporting remote sensing estimation of spruce forest parameters at the ecosystem station Bílý Kříž

Lucie Homolová, Růžena Janoutová, Petr Lukeš, Jan Hanuš, Jan Novotný, Olga Brovkina, Rolling Richard Loayza Fernandez
2017 Beskydy  
Development, calibration and validation of remote sensing-based methods, however, still rely on supportive in situ data.  ...  In case of forest ecosystems, remote sensing allow to assess quantitative parameters or indicators related to forest health status such as leaf area index, leaf pigment content, chlorophyll fluorescence  ...  Acknowledgement This work was supported by the Ministry of Education, Youth and Sports of CR within the National Sustainability Program I (NPU I), grant number LO1415 and by the European Space Agency grant  ... 
doi:10.11118/beskyd201710010075 fatcat:pyybdhz7qjci7m5j7s57gnaq7q

Remote Sensing of Grass Response to Drought Stress Using Spectroscopic Techniques and Canopy Reflectance Model Inversion

Bagher Bayat, Christiaan van der Tol, Wouter Verhoef
2016 Remote Sensing  
The physical approach consists of applying radiative transfer models (RTM) that are based on physical laws.  ...  Physically based models of vegetation remote sensing signals provide the links that exist between vegetation biophysical and biochemical variables on the one hand and the leaf and canopy spectral reflectance  ...  Also, we would like to acknowledge all the support received from the ITC Geoscience and Remote Sensing Laboratory staff, especially Boudewijn de Smeth, Watse Siderius and Murat Uçer.  ... 
doi:10.3390/rs8070557 fatcat:kvbtakhwjjab7ftaddsp4j767e

Advances in remote sensing of vegetation function and traits

Rasmus Houborg, Joshua B. Fisher, Andrew K. Skidmore
2015 International Journal of Applied Earth Observation and Geoinformation  
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  ...  AS activities are funded by the University of Twente, Faculty of ITC.  ... 
doi:10.1016/j.jag.2015.06.001 fatcat:jmq3tyb6p5aixefy7o4fgehsry

Remote sensing in BOREAS: Lessons learned

J.A. Gamon, K.F. Huemmrich, D.R. Peddle, J. Chen, D. Fuentes, F.G. Hall, J.S. Kimball, S. Goetz, J. Gu, K.C. McDonald, J.R. Miller, M. Moghaddam (+8 others)
2004 Remote Sensing of Environment  
In the initial phase of this study (early 1990s), remote sensing played a key role by providing products needed for planning and modeling.  ...  During and after the main BOREAS field campaigns (1994 and 1996), innovative remote sensing approaches and analyses expanded our understanding of the boreal forest in four key areas: (1) definition of  ...  for Remote Sensing, Natural Resources Canada, Environment Canada, Natural Sciences and Engineering Research Council of Canada, Agriculture and Agri-Food Canada, National Research Council of Canada, Parks  ... 
doi:10.1016/j.rse.2003.08.017 fatcat:6glarj6hcnbgfor2riponlwn3m

Spectroscopic Remote Sensing of Non-Structural Carbohydrates in Forest Canopies

Gregory Asner, Roberta Martin
2015 Remote Sensing  
The leaf spectral data were combined with a radiative transfer model to simulate the role of canopy structural variability, which led to a reduction in the precision and accuracy of leaf NSC estimation  ...  We tested the accuracy of NSC remote sensing at leaf, canopy and stand levels using visible-to-shortwave infrared (VSWIR) spectroscopy with partial least squares regression (PLSR) techniques.  ...  Acknowledgments We thank the Spectranomics team for field, laboratory, modeling and remote sensing assistance.  ... 
doi:10.3390/rs70403526 fatcat:bprta5yqzffzpox2ug3t22r3dq

Extracting tree crown properties from ground-based scanning laser data

Inian Moorthy, John R. Miller, Baoxin Hu, Jose A. Jimenez Berni, Pablo J. Zarco-Tejada, Qingmou Li
2007 2007 IEEE International Geoscience and Remote Sensing Symposium  
The key parameters under investigation are crown dimensions (i.e. shape, area, and volume), crown-level gap fraction (GF) and crownlevel leaf area index (LAI).  ...  It is the objective of this research to utilize the ILRIS 3D to measure structural, and biophysical information of individual trees for use as direct inputs into complex radiative transfer models.  ...  ACKNOWLEDGMENT The authors would like to thank the members of the Quan-taLab at the Instituto de Agricultura Sostenible for their efforts during the field data collection campaign.  ... 
doi:10.1109/igarss.2007.4423432 dblp:conf/igarss/MoorthyMJZL07 fatcat:4qey6aaji5a63nskdb2taewbfq

Differentiating plant functional types using reflectance: which traits make the difference?

Teja Kattenborn, Fabian Ewald Fassnacht, Sebastian Schmidtlein, Harini Nagendra, Kate He
2018 Remote Sensing in Ecology and Conservation  
We apply the radiative transfer model PROSAIL to simulate optical canopy reflectance of 38 herbaceous plant species based on field-measured traits such as leaf area index, leaf inclination distribution  ...  Accordingly, leaf area index (LAI) and leaf inclination showed consistently high importance for separating the examined PFT groups.  ...  Acknowledgments The project was funded by the German Aerospace Centre (DLR) on behalf of the Federal Ministry of Economics and Technology (BMWi), FKZ 50 EE 1347.  ... 
doi:10.1002/rse2.86 fatcat:d2e5ipxggfbghox523wkarqu6i

The responses of vegetation water content (EWT) and assessment of drought monitoring along a coastal region using remote sensing

Zhiqiang Gao, Qiuxian Wang, Xiaoming Cao, Wei Gao
2014 GIScience & Remote Sensing  
This article also analyzed the roles and limitations of EWT in drought monitoring combined with classification of the regional drought and regional water stress index (RWSI).  ...  This article retrieved the vegetation water content equivalent water thickness (EWT) information and the relevant parameters for the land surface from full-band TM remote sensing data.  ...  Currently, the main physical models used to retrieve the vegetation water content are the leaf optical model based on the radiative transfer equation known as PROSPECT, the canopy model referred to as  ... 
doi:10.1080/15481603.2014.882564 fatcat:jnes6k7y3vgcjjp7huptltkura

Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland

Roshanak Darvishzadeh, Andrew Skidmore, Martin Schlerf, Clement Atzberger
2008 Remote Sensing of Environment  
This shows the limits of the PROSAIL radiative transfer model in the case of very heterogeneous conditions.  ...  Here, the potential of radiative transfer modeling to predict LAI and leaf and canopy chlorophyll contents in a heterogeneous Mediterranean grassland is investigated.  ...  Acknowledgements We would like to acknowledge the assistance of the park management of Majella National Park, Italy, and in particular of Dr. Teodoro Andrisano. Special thanks go to Prof.  ... 
doi:10.1016/j.rse.2007.12.003 fatcat:wwx3v2qrlbamngqhmehvr5zkti

Remote Sensing and Machine Learning in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming

Caiwang Zheng, Amr Abd-Elrahman, Vance Whitaker
2021 Remote Sensing  
In this review, we focus on the recent development of phenomics approaches in strawberry farming, particularly those utilizing remote sensing and machine learning, with an eye toward future prospects for  ...  Finally, we present a synthesis of the potential research opportunities and directions that could further promote the use of remote sensing and machine learning in strawberry farming.  ...  For example, Sentinel-2 remote sensing imagery was used to retrieve various biophysical parameters of winter wheat, including the leaf area index, leaf chlorophyll content, and canopy chlorophyll content  ... 
doi:10.3390/rs13030531 fatcat:yts5pbuq2zhwrm6rt6c6hmkyti
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