Centre de documentation
scientifique

Calculating potential evapotranspiration and single crop coefficient based on energy balance equation using Landsat 8 and Sentinel-2 / Ali Mokhtari in ISPRS Journal of photogrammetry and remote sensing, vol 154 (August 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 154 (August 2019) . - pp 231 - 245 Titre : Calculating potential evapotranspiration and single crop coefficient based on energy balance equation using Landsat 8 and Sentinel-2 Type de document : Article/Communication Auteurs : Ali Mokhtari, Auteur ; Hamideh Noory, Auteur ; Farrokh Pourshakouri, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 231 - 245 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bilan énergétique [Termes IGN] blé (céréale) [Termes IGN] cultures [Termes IGN] évapotranspiration [Termes IGN] fusion d'images [Termes IGN] fusion de données [Termes IGN] image Landsat-8 [Termes IGN] image Sentinel-MSI [Termes IGN] image Terra-MODIS [Termes IGN] image thermique [Termes IGN] orge (céréale) [Termes IGN] Téhéran Résumé : (Auteur) Evapotranspiration is considered to be an important component of allocating water to agricultural sector; therefore, the more accurate this parameter is, the more optimized the water use can be. This study was conducted in order to evaluate the Landsat 8 and Sentinel-2 data (A and B), both separately and combined, in potential evapotranspiration (ETp) and single crop coefficient (Kc) estimations. Field measurements such as crop height, leaf area index (LAI), land surface temperature (LST), air temperature above canopy (AT), and spectral data were exploited in the evaluating process throughout the entirety of 2017–18 growing season under winter wheat and barley cultivations in the Agricultural Research Farms of the University of Tehran. The novel method of Multi-Sensor Data Fusion using the Priestly-Taylor equation was taken into practice for satellite-based ETp (MSDF-ET) calculation from the combination of MODIS thermal and Landsat 8 and Sentinel-2 multispectral data. Thermal images were downscaled by the means of the TsHARP algorithm. Thus, prior to ETp calculation, the thermal sharpening algorithm calculated using different spectral indices (SI) was assessed. The SI included NDVI, SAVI, SR, NDWI, NDWIg, and LSWI. The subsequent results were representative of the LSWI qualification under both Landsat 8 and Sentinel-2 conditions against thermal and spectral measurements. Also the satellite-based ETp strongly correlated with the ETp derived from the field data illuminating the promising accuracy of the MSDF-ET method in both Landsat 8 and Sentinel-2 data. In the end, the time series of Kc obtained from the combination of satellites were fairly indicative of the real-world variations under different vegetation cover and crop growth stages. Overall, using Landsat 8 and Sentinel-2 products in integration with each other could significantly result in more reliable decisions in agricultural water resources management. Numéro de notice : A2019-270 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.06.011 Date de publication en ligne : 24/06/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.06.011 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93088 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2019081	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2019083	DEP-RECP	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2019082	DEP-RECF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Estimating leaf chlorophyll of barley at different growth stages using spectral indices to reduce soil background and canopy structure effects / Kiyun Yu in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 97 (November 2014) . - pp 58 – 77 Titre : Estimating leaf chlorophyll of barley at different growth stages using spectral indices to reduce soil background and canopy structure effects Type de document : Article/Communication Auteurs : Kiyun Yu, Auteur ; Victoria Lenz-Wiedemann, Auteur ; X. Chen, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 58 – 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] agriculture de précision [Termes IGN] croissance des arbres [Termes IGN] exitance spectrale [Termes IGN] indice de végétation [Termes IGN] indice foliaire [Termes IGN] orge (céréale) [Termes IGN] réflectance spectrale [Termes IGN] surveillance de la végétation [Termes IGN] teneur en chlorophylle des feuilles Résumé : (Auteur) Monitoring in situ chlorophyll (Chl) content in agricultural crop leaves is of great importance for stress detection, nutritional state diagnosis, yield prediction and studying the mechanisms of plant and environment interaction. Numerous spectral indices have been developed for chlorophyll estimation from leaf- and canopy-level reflectance. However, in most cases, these indices are negatively affected by variations in canopy structure and soil background. The objective of this study was to develop spectral indices that can reduce the effects of varied canopy structure and growth stages for the estimation of leaf Chl. Hyperspectral reflectance data was obtained through simulation by a radiative transfer model, PROSAIL, and measurements from canopies of barley comprising different cultivars across growth stages using spectroradiometers. We applied a comprehensive band-optimization algorithm to explore five types of spectral indices: reflectance difference (RD), reflectance ratio (RR), normalized reflectance difference (NRD), difference of reflectance ratio (DRR) and ratio of reflectance difference (RRD). Indirectly using the multiple scatter correction (MSC) theory, we hypothesized that RRD can eliminate adverse effects of soil background, canopy structure and multiple scattering. Published indices and multivariate models such as optimum multiple band regression (OMBR), partial least squares regression (PLSR) and support vector machines for regression (SVR) were also employed. Results showed that the ratio of reflectance difference index (RRDI) optimized for simulated data significantly improved the correlation with Chl (R2 = 0.98, p Numéro de notice : A2014-524 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.08.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.08.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74136 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2014111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Early prediction of crop production using drought indices at different time-scales and remote sensing data: application in the Ebro Valley (north-east Spain) / S.M. Vicente-Serrano in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°1-2 (January 2006) . - pp 511 - 518 Titre : Early prediction of crop production using drought indices at different time-scales and remote sensing data: application in the Ebro Valley (north-east Spain) Type de document : Article/Communication Auteurs : S.M. Vicente-Serrano, Auteur ; J.M. Cuadrat-Prats, Auteur ; A. Romos, Auteur Année de publication : 2006 Article en page(s) : pp 511 - 518 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] blé (céréale) [Termes IGN] Espagne [Termes IGN] indice de végétation [Termes IGN] modèle de simulation [Termes IGN] orge (céréale) [Termes IGN] production agricole [Termes IGN] sécheresse [Termes IGN] zone aride Résumé : (Auteur) This letter shows the results of early crop prediction from combined use of AVHRR-NDVI data and drought indices at different time-scales. The study was carried out inan agricultural municipality located in the Middle Ebro valley, one of the most arid regions in Europe. The methodology proposed here has allowed the prediction of wheat and barley production in February, four months before harvest. Moreover, the predictive models created have explained 88% and 82% of the temporal variability of wheat and barley production respectively. This procedure could be every useful for managing crop production at a municipal level. Moreover, insurance companies could take advantage of the early prediction of crop losses, which are very frequent in this drought-affected area. Numéro de notice : A2006-062 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500296032 En ligne : https://doi.org/10.1080/01431160500296032 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83009 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization / Prasad S. Thenkabail in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 607 - 621 Titre : Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization Type de document : Article/Communication Auteurs : Prasad S. Thenkabail, Auteur ; R.b Smith, Auteur ; E. De Pauw, Auteur Année de publication : 2002 Article en page(s) : pp 607 - 621 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] azote [Termes IGN] bande infrarouge [Termes IGN] bande spectrale [Termes IGN] bande visible [Termes IGN] blé (céréale) [Termes IGN] caractérisation [Termes IGN] cultures [Termes IGN] image Landsat-TM [Termes IGN] indice de végétation [Termes IGN] Leaf Area Index [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] orge (céréale) Résumé : (Auteur) The main goal of the study was to determine optimal waveband centers and widths required to best estimate agricultural crop characteristics. The hyperspectral narrowband data was acquired over 395 to 1010 nanometers using a 1.43-nanometerwide, 430 bands, hand-held spectroradiometer. Broadband data were derived using a Landsat-5 Thematic Mapper image acquired to correspond with field spectroradiometer and ground-truth measurements. Spectral and biophysical data were obtained from 196 sample locations, including forms and rangelands, Six representative crops grown during the main cropping season were selected: barley, wheat, lentil, cumin, chickpea, and vetch. Biophysical variables consisted of leaf area index, wet biornass, dry biomass, plant height, plant nitrogen, and canopy cover. Narrowband and broadband vegetation indices were computed and their relationship with quantitative crop characteristics were established and compared. The simple narrowband two-band vegetation indices (TBVI) and the optimum multiple-band vegetation indices (OMBVI) models provided the best results. The narrowband TBVI and omBvi models are compared with six other categories of narrow and broadband indices, Compared to the best broadband Tm indices, TBvi explained up to 24 percent greater variability and OMBYI explained up to 27 percent greater variability in estimating different crop variables. A Predominant proportion of crop characteristics are best estimated using data from four narrowbands, in order of importance, centered around 675 nanometers (red absorption maxima), 905 run (near-infrared reflection peak), 720 run (mid portion of the red-edge), and 550 run (green reflectance maxima). The study determined 12 spectral bands and their bandwidths (Table 5) that provide optimal agricultural crop characteristics in the visible and near-infrared portion of the spectrum. Numéro de notice : A2002-134 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.tetracam.com/PDFs/Rec_Cite2.pdf Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22049 [article]

Agriculture, agrometeorological aspects of crops in Iitaly, Spain and Greece / G. Narciso (1992)

Public Titre : Agriculture, agrometeorological aspects of crops in Iitaly, Spain and Greece : A summary review for commun and durum wheat, barley, maize, rice, sugar beet, sunflower, soya bean, rape, potato, tobacco, cotton, olive and grape crops Type de document : Rapport Auteurs : G. Narciso, Auteur ; P. Ragni, Auteur ; A. Venturi, Auteur Editeur : Luxembourg : Office des Publications Officielles des Communautés Européennes Année de publication : 1992 Collection : Un système d'information agronomique pour la Communauté Européenne Importance : 438 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-92-826-3995-5 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Agriculture [Termes IGN] betterave sucrière [Termes IGN] blé (céréale) [Termes IGN] Communauté Européenne [Termes IGN] cultures [Termes IGN] Espagne [Termes IGN] Glycine max [Termes IGN] Gossypium (genre) [Termes IGN] Grèce [Termes IGN] Italie [Termes IGN] maïs (céréale) [Termes IGN] Olea europaea [Termes IGN] orge (céréale) [Termes IGN] pomme de terre [Termes IGN] rizière [Termes IGN] surface cultivée [Termes IGN] système d'information agronomique [Termes IGN] tournesol [Termes IGN] viticulture Résumé : (Auteur) Precise and up-to-date information on agricultural production is a vital component in running market economies. Such data are even more important where, as in the European Community, a common agricultural policy is one of the important aims. Considerable differences between European countries concerning agricultural production have led to a complex system of rules and subsidies which all rely on a certain level of precision of agricultural statistics. Remote sensing seems to be the most promising technique for upgrading the agricultural statistics system. To obtain rapid improvements, while avoiding duplication of work and a diversity of methods, the Commission has set up a Pilot Project to introduce remote sensing into the European Community agricultural statistics system. The Joint Research Centre is in charge of this project, the objectives being defined according to the priorities of Directorate General VI - Agriculture, and the European Communities Statistical Office. The first requirement is to distinguish, identify and measure the area of important crops. The second is to estimate production in good time so that decisions can be made. When these basic statistics are available, predictions of crop production can then be made. Note de contenu : PART I : INTRODUCTION 1. Introduction 2. Methodological framework 3. Data organization in forms PART II : AGROMETEOROLOGICAL ASPECTS OF CROPS Numéro de notice : 16456 Affiliation des auteurs : non IGN Thématique : FORET Nature : Rapport d'étude technique Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=41129

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
16456-01	50.40	Livre	Centre de documentation	Environnement	Disponible

Agriculture, agrometeorological aspects of crops in the United Kingdom and Ireland / M.N. Hough (1990)

Permalink

Agriculture / G. Russell (1990)

Permalink

Changes in leaf spectral properties induced in barley by cereal powdery mildew / B. Lorenzen in Remote sensing of environment, vol 27 n° 2 (01/02/1989)  

Permalink

Oblique view reflectance for assessing nitrogen status of incomplete canopies / T.H. Demetriades-Shah in International Journal of Remote Sensing IJRS, vol 8 n° 7 (July 1987)  

Permalink

Influence of different nitrogen and irrigation treatments on the spectral reflectance of barley / J. Kleman in Remote sensing of environment, vol 21 n° 1 (01/02/1987)  

Permalink