Academic literature on the topic 'PROSPECT+SAIL model'

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Journal articles on the topic "PROSPECT+SAIL model"

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Jacquemoud, S. "Inversion of the PROSPECT + SAIL canopy reflectance model from AVIRIS equivalent spectra: Theoretical study." Remote Sensing of Environment 44, no. 2-3 (1993): 281–92. http://dx.doi.org/10.1016/0034-4257(93)90022-p.

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Y. Yang and P. P. Ling. "IMPROVED MODEL INVERSION PROCEDURE FOR PLANT WATER STATUS ASSESSMENT UNDER ARTIFICIAL LIGHTING USING PROSPECT+SAIL." Transactions of the ASAE 47, no. 5 (2004): 1833–40. http://dx.doi.org/10.13031/2013.17600.

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Clevers, J. G. P. W., and W. Verhoef. "LAI estimation by means of the WDVI: A sensitivity analysis with a combined PROSPECT‐SAIL model." Remote Sensing Reviews 7, no. 1 (1993): 43–64. http://dx.doi.org/10.1080/02757259309532165.

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Zhang, Lin Jing, Hong Zhang Ma, Zhu Bo Zhou, Zhong Liang Ren, Xiao Bo Zhu, and Lin Sun. "Vegetation Canopy Coverage Estimation Using Physical Models." Advanced Materials Research 726-731 (August 2013): 4709–13. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4709.

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Based on the physical models of PROSPECT, SAIL and porosity model, hyperspectral data and canopy coverage data of different combined scenes were simulated. According to the simulated data, we chose four sensitive bands and four sensitive vegetation indexes highly correlated to vegetation canopy coverage, and analyzed the correlation between sensitive bands, sensitive vegetation indexes and canopy coverage. Then we built a regression model of canopy coverage with EVI highly correlated with canopy coverage. At last, we verified this model by experimental data from ground measurement experiment.
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Zhang, Lin Jing, Hong Zhang Ma, Xiao Bo Zhu, and Lin Sun. "Retrieval of Vegetation Canopy Water Content Based on Spectral Index Method." Applied Mechanics and Materials 295-298 (February 2013): 2446–50. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.2446.

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Based on the physical models of PROSPECT and SAIL, hyperspectral data of different scenes were simulated. According to the simulated data, we built 7 spectral indexes highly linear correlated to vegetation canopy water content, and analyzed the relationship between spectral indexes and canopy water content. Then we built a multiple linear model of canopy water content with the spectral indexes that are highly correlated with FMC (Fuel Moisture Content). At last, using the model, the vegetation canopy water content from Hyperion was obtained. It shows that the spectral indexes: II, NDWI, Ratio1
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Clevers, J. G. P. W., H. J. C. Van Leeuwen, and W. Verhoef. "Estimating the fraction APAR by means of vegetation indices: A sensitivity analysis with a combined prospect‐sail model." Remote Sensing Reviews 9, no. 3 (1994): 203–20. http://dx.doi.org/10.1080/02757259409532225.

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Berger, Katja, Clement Atzberger, Martin Danner, Matthias Wocher, Wolfram Mauser, and Tobias Hank. "Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model." Remote Sensing 10, no. 12 (2018): 2063. http://dx.doi.org/10.3390/rs10122063.

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Satellite hyperspectral Earth observation missions have strong potential to support sustainable agriculture by providing accurate spatial and temporal information of important vegetation biophysical and biochemical variables. To meet this goal, possible error sources in the modelling approaches should be minimized. Thus, first of all, the capability of a model to reproduce the measured spectral signals has to be tested before applying any retrieval algorithm. For an exemplary demonstration, the coupled PROSPECT-D and SAIL radiative transfer models (PROSAIL) were employed to emulate the setup o
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Li, Zhenhai, Xiuliang Jin, Guijun Yang, et al. "Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model." Remote Sensing 10, no. 9 (2018): 1463. http://dx.doi.org/10.3390/rs10091463.

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Plant nitrogen (N) information has widely been estimated through empirical techniques using hyperspectral data. However, the physical model inversion approach on N spectral response has seldom developed and remains a challenge. In this study, an N-PROSAIL model based on the N-based PROSPECT model and the SAIL model canopy model was constructed and used for retrieving crop N status both at leaf and canopy scales. The results show that the third parameter (3rd-par) retrieving strategy (leaf area index (LAI) and leaf N density (LND) optimized where other parameters in the N-PROSAIL model are set
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Zeng, Yelu, Baodong Xu, Gaofei Yin, et al. "Spectral Invariant Provides a Practical Modeling Approach for Future Biophysical Variable Estimations." Remote Sensing 10, no. 10 (2018): 1508. http://dx.doi.org/10.3390/rs10101508.

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This paper presents a simple radiative transfer model based on spectral invariant properties (SIP). The canopy structure parameters, including the leaf angle distribution and multi-angular clumping index, are explicitly described in the SIP model. The SIP model has been evaluated on its bidirectional reflectance factor (BRF) in the angular space at the radiation transfer model intercomparison platform, and in the spectrum space by the PROSPECT+SAIL (PROSAIL) model. The simulations of BRF by SIP agreed well with the reference values in both the angular space and spectrum space, with a root-mean
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Wang, Bing, Kun Jia, Shunlin Liang, et al. "Assessment of Sentinel-2 MSI Spectral Band Reflectances for Estimating Fractional Vegetation Cover." Remote Sensing 10, no. 12 (2018): 1927. http://dx.doi.org/10.3390/rs10121927.

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Fractional vegetation cover (FVC) is an essential parameter for characterizing the land surface vegetation conditions and plays an important role in earth surface process simulations and global change studies. The Sentinel-2 missions carrying multi-spectral instrument (MSI) sensors with 13 multispectral bands are potentially useful for estimating FVC. However, the performance of these bands for FVC estimation is unclear. Therefore, the objective of this study was to assess the performance of Sentinel-2 MSI spectral band reflectances on FVC estimation. The samples, including the Sentinel-2 MSI
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Dissertations / Theses on the topic "PROSPECT+SAIL model"

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Yang, Yang. "Non-contacting techniques for detecting plant drought stress in a closed environment." Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1068499233.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xx, 245 p.; also includes graphics. Includes bibliographical references (p. 206-216).
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Books on the topic "PROSPECT+SAIL model"

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Bevir, Mark. The Contextual Approach. Edited by George Klosko. Oxford University Press, 2011. http://dx.doi.org/10.1093/oxfordhb/9780199238804.003.0001.

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There are several contextual, historical approaches to texts. They include much hermeneutics, reception theory, and the new historicism. Yet, in the history of political philosophy, the contextual approach is associated narrowly with J. G. A. Pocock, Quentin Skinner, and the Cambridge School they are often said to have inspired. This article examines the rise of this contextualism, the theoretical arguments used to justify it, and its current standing and future prospects. It pursue several arguments. First, the label “Cambridge School” is highly misleading: Pocock and Skinner differ significa
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Book chapters on the topic "PROSPECT+SAIL model"

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D. Udovin, Lucas, Andrea Aguilar, Tamara Kobiec, et al. "Neuroprotective Properties of Cannabinoids in Cellular and Animal Models: Hypotheses and Facts." In Neuroprotection - New Approaches and Prospects. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.90761.

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Progressive neuronal loss is a typical characteristic of neurodegenerative diseases. In Parkinson’s disease, the loss of dopaminergic neurons in the basal ganglia results in impaired mobility and flawed muscle control. The loss of cholinergic neurons largely in the basal forebrain contributes to memory and attention deficits and the overall cognitive impairment in Alzheimer’s disease. This being said, neuroprotective drugs should be expected to preserve and/or restore the functions affected by neuronal loss, and substantially prevent cell death. The endocannabinoid system, comprising lipid mediators able to bind to and activate cannabinoid receptors, has emerged as a therapeutic target of potential interest in a variety of central nervous system diseases. Palmitoylethanolamide (PEA) is one of the most important endocannabinoids, which has a key role in modulating oxidative stress and inflammatory response with neuroprotective potential in neurological disorders. Neurodegenerative diseases undergo varied, progressive stages. The current therapeutical approaches are beginning to fall short when it comes to meet the expected results, urging to either develop or identify or develop new effective treatments. This chapter discusses the neuroprotective potential of new drugs, aiming to shed some light on their proposed mechanism of action and their effect in cellular and animal models of neurodegeneration.
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