Výsledky vyhledávání - "LAI retrieval"

Akademický článek

Quantifying Uncertainty and Bridging the Scaling Gap in the Retrieval of Leaf Area Index by Coupling Sentinel-2 and UAV Observations

Autor: Andrew Revill, Anna Florence, Alasdair MacArthur, Stephen Hoad, Robert Rees, Mathew Williams

Publikováno v: Remote Sensing, Vol 12, Iss 11, p 1843 (2020)

Leaf area index (LAI) estimates can inform decision-making in crop management. The European Space Agency’s Sentinel-2 satellite, with observations in the red-edge spectral region, can monitor crops globally at sub-field spatial resolutions (10–20

Externí odkaz: https://doaj.org/article/2c699ac308ba46d395acd7b3c99fc01d

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Effect of row orientation on maize green area index retrieval from L-band synthetic aperture radar imagery

Autor: Bouchat, Jean, Defourny, Pierre, IEEE 2021 International Geoscience & Remote Sensing Symposium (IGARSS 2021)

Publikováno v: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
IGARSS

Green area index (GAI) is a key indicator of crop status and is therefore fundamental for crop monitoring and yield forecasting. A common tool for its retrieval from synthetic aperture radar (SAR) data in an operational context is the inversion of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd010f7f31a597c410c4240fdc8986ed
https://hdl.handle.net/2078.1/248346

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Quantifying uncertainty and bridging the scaling gap in the retrieval of leaf area index by coupling Sentinel-2 and UAV observations

Autor: Robert M. Rees, Alasdair MacArthur, Mathew Williams, Andrew Revill, Stephen P. Hoad, Anna Florence

Publikováno v: Revill, A, Florence, A, MacArthur, A, Hoad, S, Rees, R & Williams, M 2020, ' Quantifying uncertainty and bridging the scaling gap in the retrieval of leaf area index by coupling Sentinel-2 and UAV observations ', Remote Sensing . https://doi.org/10.3390/rs12111843
Remote Sensing, Vol 12, Iss 1843, p 1843 (2020)
Remote Sensing; Volume 12; Issue 11; Pages: 1843

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23332225cc80a0f72983353252a26123
https://www.pure.ed.ac.uk/ws/files/150709756/264._Revill.pdf

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Akademický článek

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Akademický článek

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Assimilation of leaf area index derived from ASAR and MERIS data into CERES-Wheat model to map wheat yield

Autor: Michele Rinaldi, Giuseppe Satalino, Laura Dente, Francesco Mattia

Publikováno v: Remote sensing of environment, 112(4), 1395-1407. Elsevier
Remote sensing of environment 112 (2008): 1395–1407. doi:10.1016/j.rse.2007.05.023
info:cnr-pdr/source/autori:Laura Dente, Giuseppe Satalino, Francesco Mattia and Michele Rinaldi/titolo:Assimilation of leaf area index derived from ASAR and MERIS data into CERES-Wheat model to map wheat yield/doi:10.1016%2Fj.rse.2007.05.023/rivista:Remote sensing of environment/anno:2008/pagina_da:1395/pagina_a:1407/intervallo_pagine:1395–1407/volume:112

This study presents a method to assimilate leaf area index retrieved from ENVISAT ASAR and MERIS data into CERES-Wheat crop growth model with the objective to improve the accuracy of the wheat yield predictions at catchment scale. The assimilation me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8847ff68c78443b58023ad24840b8f74
https://doi.org/10.1016/j.rse.2007.05.023

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Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring

Autor: Gonçal Grau-Muedra, Mirco Boschetti, Francesco Nutini, Francisco Javier García-Haro, Alberto Crema, Gustau Camps-Valls, Manuel Campos-Taberner

Publikováno v: Remote Sensing of Environment
Remote sensing of environment 187 (2016): 102–118. doi:10.1016/j.rse.2016.10.009
info:cnr-pdr/source/autori:Campos-Taberner M.; Garcia-Haro F.J.; Camps-Valls G.; Grau-Muedra G.; Nutini F.; Crema A.; Boschetti M./titolo:Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring/doi:10.1016%2Fj.rse.2016.10.009/rivista:Remote sensing of environment/anno:2016/pagina_da:102/pagina_a:118/intervallo_pagine:102–118/volume:187

This paper presents an operational chain for high-resolution leaf area index (LAI) retrieval from multiresolution satellite data specifically developed for Mediterranean rice areas. The proposed methodology is based on the inversion of the PROSAIL ra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43248091b8a63223cbd2488207bb3ff8

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Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models

Autor: Huanhuan Yuan, Bo Xu, Changchun Li, Guijun Yang, Yanjie Wang, Xiaodong Yang, Yu Haiyang, Jiangang Liu, Haikuan Feng, Zhao Xiaoqing

Publikováno v: Remote Sensing; Volume 9; Issue 4; Pages: 309

Leaf area index (LAI) is an important indicator of plant growth and yield that can be monitored by remote sensing. Several models were constructed using datasets derived from SRS and STR sampling methods to determine the optimal model for soybean (mu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9980756bd4f8bec5934baeb894c312cb
https://doi.org/10.3390/rs9040309

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Carbon cycling of European croplands: a framework for the assimilation of optical and microwave earth observation data

Autor: Andrew Revill, Oliver Sus, Mathew Williams, Brian Barrett

Publikováno v: Revill, A, Sus, O, Barrett, B & Williams, M 2013, ' Carbon cycling of European croplands : A framework for the assimilation of optical and microwave Earth observation data ', Remote Sensing of Environment, vol. 137, no. 0, pp. 84-93 . https://doi.org/10.1016/j.rse.2013.06.002

Worldwide, cropland ecosystems play a significant role in the global carbon (C) cycle. However, quantifying and understanding the cropland C cycle are complex, due to variable environmental drivers, varied management practices and often highly hetero

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67973118664d70c5bcc4de3242da00c2
https://eprints.gla.ac.uk/109097/1/109097.pdf

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