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Termes IGN > télédétection > télédétection électromagnétique > indice de végétation > indice foliaire > Green Leaf Area Index
Green Leaf Area IndexSynonyme(s)GLAI |
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Dynamic modelling of rice leaf area index with quad-source optical imagery and machine learning regression models / Lamin R. Mansaray in Geocarto international, vol 37 n° 3 ([01/02/2022])
[article]
Titre : Dynamic modelling of rice leaf area index with quad-source optical imagery and machine learning regression models Type de document : Article/Communication Auteurs : Lamin R. Mansaray, Auteur ; Adam Sheka Kanu, Auteur ; Lingbo Yang, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 828 - 840 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage automatique
[Termes IGN] Chine
[Termes IGN] classification barycentrique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] Extreme Gradient Machine
[Termes IGN] Green Leaf Area Index
[Termes IGN] image Gaofen
[Termes IGN] image HJ-1A
[Termes IGN] image HJ-1B
[Termes IGN] image Landsat-8
[Termes IGN] image Sentinel-MSI
[Termes IGN] indice foliaire
[Termes IGN] modèle de régression
[Termes IGN] rizièreRésumé : (auteur) Optical satellite imagery has been widely used to monitor leaf area index (LAI). However, most studies have focussed on single- or dual-source data, thus making little use of a growing repository of freely available optical imagery. Hence this study has evaluated the feasibility of quad-source optical satellite imagery involving Landsat-8, Sentinel-2A, China’s environment satellite constellation (HJ-1 A and B) and Gaofen-1 (GF-1) in modelling rice green LAI over a test site located in southeast China at two growing seasons. With the application of machine learning regression models including Random Forest (RF), Support Vector Machine (SVM), k-Nearest Neighbour (k-NN) and Gradient Boosting Decision Tree (GBDT), results indicated that regression models based on an ensemble of decision trees (RF and GBDT) were more suitable for modelling rice green LAI. The current study has demonstrated the feasibility of quad-source optical imagery in modelling rice green LAI and this is relevant for cloudy areas. Numéro de notice : A2022-346 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2020.1745299 Date de publication en ligne : 03/04/2020 En ligne : https://doi.org/10.1080/10106049.2020.1745299 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100530
in Geocarto international > vol 37 n° 3 [01/02/2022] . - pp 828 - 840[article]Regional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data: Application to Zealand, Denmark / Rasmus M. Houborg in Remote sensing of environment, vol 93 n° 1 (30/10/2004)
[article]
Titre : Regional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data: Application to Zealand, Denmark Type de document : Article/Communication Auteurs : Rasmus M. Houborg, Auteur ; H. Soegaard, Auteur Année de publication : 2004 Article en page(s) : pp 150 - 167 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture
[Termes IGN] atmosphère terrestre
[Termes IGN] couvert végétal
[Termes IGN] covariance
[Termes IGN] Danemark
[Termes IGN] dioxyde de carbone
[Termes IGN] flux
[Termes IGN] Green Leaf Area Index
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image Terra-MODIS
[Termes IGN] indice de végétation
[Termes IGN] nuage
[Termes IGN] turbulence
[Termes IGN] vapeur d'eauRésumé : (Auteur) While accurate information on ecosystem C02 and water vapor exchange is available at eddy covariance flux tower sites, method, methods to expand predictions of C02 and energy exchange to regional or global scales with high fidelity are lacking. The main objective of this study was to examine the applicability of land surface and atmospheric products from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Advanced Very High Resolution Radiometer (AVHRR) for assessing the spatial variation in C02 and water vapor fluxes for cloudless agricultural land pixels at the Island of Zealand, Denmark. The spatial distribution of green leaf area index, directbeam ark: diffuse solar radiation and air humidity was inferred on the basis of late morning MODIS data that was combined with afternoon AVHRR data to resolve the diurnal variation in air and surface temperature. These variables were used in a coupled "twoleaf' ecosystem model operating at an hourly time scale. The enhanced vegetation index (EVI) was strongly correlated with field measurements of green leaf area index (r2=0.91) and remained sensitive to variations in green biomass up to green leaf area indices of 45. Evaluation against standard meteorological data showed that instantaneous estimates of air temperature, actual vapor pressure and incoming solar radiation could be retrieved with overall root mean square errors of 2.5°C, 138.3 Pa and 47.7 Wm2, respectively. The combination of late morning and afternoon inferences made it possible to resolve the diurnal course in key model parameters, and predicted rates of ecosystem C02 and water vapor exchange were comparable to eddy covariance measurements at a single flux tower. A large spatial diversity in C02 and water vapor exchange was maintained throughout the study period due to significant regional variations in meteorological input variables and large spatial differences in canopy development. The results of this study stress the necessity of pixel based estimates for an accurate evaluation of regional budgets of C02 and water vapor exchange. Numéro de notice : A2004-426 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.07.001 En ligne : https://doi.org/10.1016/j.rse.2004.07.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26953
in Remote sensing of environment > vol 93 n° 1 (30/10/2004) . - pp 150 - 167[article]Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modelling and validation in the context of precision agriculture / D. Haboudane in Remote sensing of environment, vol 90 n° 3 (15/04/2004)
[article]
Titre : Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modelling and validation in the context of precision agriculture Type de document : Article/Communication Auteurs : D. Haboudane, Auteur ; J.R. Miller, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 337 - 352 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agriculture de précision
[Termes IGN] analyse comparative
[Termes IGN] blé (céréale)
[Termes IGN] chlorophylle
[Termes IGN] cultures
[Termes IGN] données de terrain
[Termes IGN] Glycine max
[Termes IGN] Green Leaf Area Index
[Termes IGN] image CASI
[Termes IGN] image hyperspectrale
[Termes IGN] indice de végétation
[Termes IGN] maïs (céréale)
[Termes IGN] modèle de transfert radiatif
[Termes IGN] prévision
[Termes IGN] réflectance végétaleRésumé : (Auteur) A growing number of studies have focused on evaluating spectral indices in terms of their sensitivity to vegetation biophysical parameters, as well as to external factors affecting canopy reflectance. In this context, leaf and canopy radiative transfer models are valuable for modeling and understanding the behavior of such indices. In the present work, PROSPECT and SAILH models have been used to simulate a wide range of crop canopy reflectances in an attempt to study the sensitivity of a set of vegetation indices to green leaf area index (LAI), and to modify some of them in order to enhance their responsivity to LAI variations. The aim of the paper was to present a method for minimizing the effect of leaf chlorophyll content on the prediction of green LAI, and to develop new algorithms that adequately predict the LAI of crop canopies. Analyses based on both simulated and real hyperspectral data were carried out to compare performances of existing vegetation indices (Normalized Difference Vegetation Index [NDVI], Renormalized Difference Vegetation Index [RDVI], Modified Simple Ratio [MSR], Soil-Adjusted Vegetation Index [SAVI], Soil and Atmospherically Resistant Vegetation Index [SARVI], MSAVI, Triangular Vegetation Index [TVI], and Modified Chlorophyll Absorption Ratio Index [MCARI]) and to design new ones (MTVII, MCARII, MTV12, and MCAR12) that are both less sensitive to chlorophyll content variations and linearly related to green LAI. Thorough analyses showed that the above existing vegetation indices were either sensitive to chlorophyll concentration changes or affected by saturation at high LAI levels. Conversely, two of the spectral indices developed as a part of this study, a modified triangular vegetation index (MTV12) and a modified chlorophyll absorption ratio index (MCAR12), proved to be the best predictors of green LAI. Related predictive algorithms were tested on CASI (Compact Airborne Spectrographic Imager) hyperspectral images and, then, validated using ground truth measurements. The latter were collected simultaneously with image acquisition for different crop types (soybean, corn, and wheat), at different growth stages, and under various fertilization treatments. Prediction power analysis of proposed algorithms based on MCAR12 and MTV12 resulted in agreements between modeled and ground measurement of non-destructive LAI, with coefficients of determination (r) being 0.98 for soybean, 0.89 for com, and 0.74 for wheat. The corresponding RMSE for LAI were estimated at 0.28, 0.46, and 0.85, respectively. Numéro de notice : A2004-201 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.12.013 En ligne : https://doi.org/10.1016/j.rse.2003.12.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26728
in Remote sensing of environment > vol 90 n° 3 (15/04/2004) . - pp 337 - 352[article]Remote sensing of temperate coniferous forest leaf area index : the influence of canopy closure, understory vegetation and background reflectance / M.A. Spanner in International Journal of Remote Sensing IJRS, vol 11 n° 1 (January 1990)
[article]
Titre : Remote sensing of temperate coniferous forest leaf area index : the influence of canopy closure, understory vegetation and background reflectance Type de document : Article/Communication Auteurs : M.A. Spanner, Auteur ; L.L. Pierce, Auteur ; David L. Peterson, Auteur ; S.W. Running, Auteur Année de publication : 1990 Article en page(s) : pp 95 - 111 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] correction géométrique
[Termes IGN] couvert forestier
[Termes IGN] forêt tempérée
[Termes IGN] Green Leaf Area Index
[Termes IGN] image Landsat-TM
[Termes IGN] Oregon (Etats-Unis)
[Termes IGN] Pinophyta
[Termes IGN] réflectance végétale
[Termes IGN] sous-boisNuméro de notice : A1990-024 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431169008955002 En ligne : https://doi.org/10.1080/01431169008955002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=25448
in International Journal of Remote Sensing IJRS > vol 11 n° 1 (January 1990) . - pp 95 - 111[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-90011 RAB Revue Centre de documentation En réserve L003 Disponible Seasonal visible, near-infrared and mid-infrared spectra of rice canopies in relation to LAI and above-ground dry phytomass / M. Shibayama in Remote sensing of environment, vol 27 n° 2 (01/02/1989)
[article]
Titre : Seasonal visible, near-infrared and mid-infrared spectra of rice canopies in relation to LAI and above-ground dry phytomass Type de document : Article/Communication Auteurs : M. Shibayama, Auteur ; T. Akiyama, Auteur Année de publication : 1989 Article en page(s) : pp 119 - 127 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande visible
[Termes IGN] feuille (végétation)
[Termes IGN] Green Leaf Area Index
[Termes IGN] Japon
[Termes IGN] Oryza (genre)
[Termes IGN] rayonnement infrarouge moyen
[Termes IGN] rayonnement lumineux
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance végétaleNuméro de notice : A1989-088 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/0034-4257(89)90011-4 En ligne : https://doi.org/10.1016/0034-4257(89)90011-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=25048
in Remote sensing of environment > vol 27 n° 2 (01/02/1989) . - pp 119 - 127[article]Characterization of vegetation with combined Thematic Mapper (TM) and Shuttle-Imaging-Radar (SIR-B) image data / J.F. Paris in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 8 (august 1988)PermalinkDetection of forest change in green mountains of Vermont using multispectral scanner data / J.E. Vogelmann in International Journal of Remote Sensing IJRS, vol 9 n° 7 (July 1988)PermalinkEstimating big bluestem albedo from directional reflectance measurements / J.R. Irons in Remote sensing of environment, vol 25 n° 2 (01/07/1988)PermalinkSelecting a spatial resolution for estimation of per-field green leaf area index / P.J. Curran in International Journal of Remote Sensing IJRS, vol 9 n° 7 (July 1988)PermalinkThe derivation of a simplified reflectance model for the estimation of leaf area index / J.G. Clevers in Remote sensing of environment, vol 25 n° 1 (01/06/1988)PermalinkEvaluation of middle and thermal infrared radiance in indices used to estimate GLAI [green leef area index] / H.D. Williamson in International Journal of Remote Sensing IJRS, vol 9 n° 2 (February 1988)PermalinkRelationship of Thematic Mapper simulator data to Leaf Area Index of temperate coniferous forests / David L. Peterson in Remote sensing of environment, vol 22 n° 3 (01/08/1987)PermalinkGLAI [green leef area index] estimation using measurements of red, near infrared, and middle infrared radiance / P.J. Curran in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 2 (february 1987)PermalinkAirborne MSS data to estimate GLAI / P.J. Curran in International Journal of Remote Sensing IJRS, vol 8 n° 1 (January 1987)PermalinkIndices de végétation / Robert Bariou (1985)Permalink