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Assessment and validation of evapotranspiration using SEBAL algorithm and Lysimeter data of IARI agricultural farm, India / Anju Bala in Geocarto international, vol 31 n° 7 - 8 (July - August 2016)
[article]
Titre : Assessment and validation of evapotranspiration using SEBAL algorithm and Lysimeter data of IARI agricultural farm, India Type de document : Article/Communication Auteurs : Anju Bala, Auteur ; Kishan Singh Rawat, Auteur ; Anil Kumar Misra, Auteur Année de publication : 2016 Article en page(s) : pp 739 - 764 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] évapotranspiration
[Termes IGN] humidité du sol
[Termes IGN] image Landsat-ETM+
[Termes IGN] Inde
[Termes IGN] production agricole
[Termes IGN] teneur en eau de la végétationRésumé : (Auteur) Evapotranspiration (ET) is a vital process in land surface atmosphere research. In this study, Surface Energy Balance Algorithm for Land (SEBAL) for the assessment of ET (for 23 December 2010, 8 January 2011, 24 January 2011, 9 February 2011, 25 February 2011, 29 March 2011 and 14 April 2011) from LANDSAT7-ETM+ and validation with Lysimeter data set is illustrated. It is based on the evaporative fraction concept, and it has been applied to LANDSAT7-ETM + (30 m resolution) data acquired over the Indian Agricultural Research Institute’s agricultural farm land. The ET from SEBAL was compared with Lysimeter ET using four statistical tests (root-mean-square error (RMSE), relative root-mean-square error (R-RMSE), mean absolute error (MAE), and normalized root-mean square error (NRMSE)), and each test showed a good correlation between the predicted and observed ET values. Results from this study revealed that the RMSE of crop-growing period was 0.51 mm d−1 for ETSEBAL, i.e. ETSEBAL having good accuracy with respect to observed ETLysimeter. Results were also validated using R-RMSE test, which also proved that ETSEBAL data are having good accuracy with respect to observed ETLysimeter as R-RMSE of crop-growing period is 0.19 mm d−1. MAE (0.19), NRMSE (0.21) and r2 (0.91) tests indicated that model prediction is significant, and model can be effectively used for the estimation of ET from SEBAL as input of remote sensing data sets. Finally, the SEBAL has been useful for remote agricultural land where ground-based data (Lysimeter data) are not available for daily ET (ET24 h) estimation. The temporal study of the ET24 h values analysed has revealed that the highest ET24 h values are owing to the higher development (high greenness) of crops, whereas the lower values are related to the lower development (low greenness) or null crop. Numéro de notice : A2016-443 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1076062 Date de publication en ligne : 29/09/2015 En ligne : http://dx.doi.org/10.1080/10106049.2015.1076062 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81350
in Geocarto international > vol 31 n° 7 - 8 (July - August 2016) . - pp 739 - 764[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2016041 RAB Revue Centre de documentation En réserve L003 Disponible Evaluating the productivity of four main tree species in Germany under climate change with static reduced models / Martin Gutsch in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Evaluating the productivity of four main tree species in Germany under climate change with static reduced models Type de document : Article/Communication Auteurs : Martin Gutsch, Auteur ; Petra Lasch-Born, Auteur ; Felicitas Suckow, Auteur ; Christopher P.O. Reyer, Auteur Année de publication : 2016 Article en page(s) : pp 401- 410 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] Allemagne
[Termes IGN] analyse diachronique
[Termes IGN] climat
[Termes IGN] étude d'impact
[Termes IGN] production agricole végétale
[Termes IGN] régression
[Termes IGN] sylvicultureRésumé : (auteur) Key message: We present simple models of forest net primary production (NPP) in Germany that show increasing productivity, especially in mountainous areas, under warming unless water becomes a limiting factor. They can be used for spatially explicit, rapid climate impact assessment.
Context: Climate impact studies largely rely on process-based forest models generally requiring detailed input data which are not everywhere available.
Aims: This study aims to derive simple models with low data requirements which allow calculation of NPP and analysis of climate impacts using many climate scenarios at a large amount of sites.
Methods: We fitted regression functions to the output of simulation experiments conducted with the process-based forest model 4C at 2342 climate stations in Germany for four main tree species on four different soil types and two time periods, 1951–2006 and 2031–2060.
Results: The regression functions showed a reasonable fit to measured NPP datasets. Temperature increase of up to 3 K leads to positive effects on NPP. In water-limited regions, this positive effect is dependent on the length of drought periods. The highest NPP increase occurs in mountainous regions.
Conclusion: Rapid analyses, using reduced models as presented here, can complement more detailed analyses with process-based models. Especially for dry sites, we recommend further study of climate impacts with process-based models or detailed measurementsNuméro de notice : A2016-353 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0532-3 Date de publication en ligne : 02/12/2015 En ligne : https://doi.org/10.1007/s13595-015-0532-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81064
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 401- 410[article]Integrating risk preferences in forest harvest scheduling / Kyle J. Eyvindson in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Integrating risk preferences in forest harvest scheduling Type de document : Article/Communication Auteurs : Kyle J. Eyvindson, Auteur ; Annika S. Kangas, Auteur Année de publication : 2016 Article en page(s) : pp 321 - 330 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] gestion
[Termes IGN] gestion prévisionnelle
[Termes IGN] planification
[Termes IGN] production agricole végétale
[Termes IGN] programmation stochastique
[Termes IGN] risque environnemental
[Termes IGN] sylvicultureRésumé : (auteur) Key message: Through a stochastic programming framework, risk preferences can be included in forest planning. The value of utilizing stochastic programming is always positive; however, the value depends on the information quality and risk preferences of the decision maker.
Context: Harvest scheduling requires decisions be taken based on imperfect information and assumptions regarding the future state of the forest and markets.
Aims: The aim of this study is to incorporate elements of risk management into forest management, so that the decision maker can understand the risks associated with utilizing the imperfect data.
Methods: Incorporation of uncertainty is done through stochastic programming. This allows for the decision maker’s attitude towards risk to be incorporated into the development of a solution. By means of a simple even-flow problem formulation, a method of using stochastic programming to incorporate explicit trade-off between objective function value and risk of not meeting the constraints has been developed.
Results: The different models highlight the importance of including uncertainty in management of forest resources. In general, as the decision maker becomes more risk averse, the incorporation of uncertainty into the model becomes more important.
Conclusions: The use of stochastic programming allows for additional information to be included in the formulation, and this allows for the decision maker to account for downside risk.Numéro de notice : A2016-351 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0517-2 Date de publication en ligne : 11/09/2015 En ligne : https://doi.org/10.1007/s13595-015-0517-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81061
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 321 - 330[article]Monitoring of water stress in wheat using multispectral indices derived from Landsat-TM / Nitika Dangwal in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)
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Titre : Monitoring of water stress in wheat using multispectral indices derived from Landsat-TM Type de document : Article/Communication Auteurs : Nitika Dangwal, Auteur ; N.R. Patel, Auteur ; Mamta Kumari, Auteur ; S.K. Saha, Auteur Année de publication : 2016 Article en page(s) : pp 682 - 693 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] image Landsat-TM
[Termes IGN] indice d'humidité
[Termes IGN] indice de stress
[Termes IGN] irrigation
[Termes IGN] surveillance agricole
[Termes IGN] teneur en eau de la végétationRésumé : (Auteur) Detection of crop water stress is crucial for efficient irrigation water management. Potential of Satellite data to provide spatial and temporal dynamics of crop growth conditions makes it possible to monitor crop water stress at regional level. This study was conducted in parts of western Uttar Pradesh and Haryana. Multi-temporal Landsat data were used for detecting wheat crop water stress using vegetation indices (VIs), viz. vegetation water stress index (VWSI) and land surface wetness index water stress factor (Ws_LSWI). The estimated water stress from satellite data-based VIs was validated by water stress factor (Ws) derived from flux-tower data. The study observed Ws_LSWI to be better index for water stress detection. The results indicated that Ws_LSWI was superior over other index showing RMSE = 0.12, R2 = 0.65, whereas VWSI showed overestimated values with mean RD 4%. Numéro de notice : A2016-174 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1073369 Date de publication en ligne : 01/09/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1073369 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80518
in Geocarto international > vol 31 n° 5 - 6 (May - June 2016) . - pp 682 - 693[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2016031 RAB Revue Centre de documentation En réserve L003 Disponible Movement analysis of free-grazing domestic ducks in Poyang Lake, China: a disease connection / Dian J. Prosser in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)
[article]
Titre : Movement analysis of free-grazing domestic ducks in Poyang Lake, China: a disease connection Type de document : Article/Communication Auteurs : Dian J. Prosser, Auteur ; Eric C. Palm, Auteur ; John Y. Takekawa, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 869 - 880 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] Aves
[Termes IGN] Chine
[Termes IGN] élevage
[Termes IGN] épidémie
[Termes IGN] habitat animal
[Termes IGN] migration animale
[Termes IGN] surveillance sanitaireRésumé : (Auteur) Previous work suggests domestic poultry are important contributors to the emergence and transmission of highly pathogenic avian influenza throughout Asia. In Poyang Lake, China, domestic duck production cycles are synchronized with arrival and departure of thousands of migratory wild birds in the area. During these periods, high densities of juvenile domestic ducks are in close proximity to migratory wild ducks, increasing the potential for the virus to be transmitted and subsequently disseminated via migration. In this paper, we use GPS dataloggers and dynamic Brownian bridge models to describe movements and habitat use of free-grazing domestic ducks in the Poyang Lake basin and identify specific areas that may have the highest risk of H5N1 transmission between domestic and wild birds. Specifically, we determine relative use by free-grazing domestic ducks of natural wetlands, which are the most heavily used areas by migratory wild ducks, and of rice paddies, which provide habitat for resident wild ducks and lower densities of migratory wild ducks. To our knowledge, this is the first movement study on domestic ducks, and our data show potential for free-grazing domestic ducks from farms located near natural wetlands to come in contact with wild waterfowl, thereby increasing the risk for disease transmission. This study provides an example of the importance of movement ecology studies in understanding dynamics such as disease transmission on a complicated landscape. Numéro de notice : A2016-287 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1065496 En ligne : https://doi.org/10.1080/13658816.2015.1065496 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80866
in International journal of geographical information science IJGIS > vol 30 n° 5-6 (May - June 2016) . - pp 869 - 880[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2016032 RAB Revue Centre de documentation En réserve L003 Disponible 079-2016031 RAB Revue Centre de documentation En réserve L003 Disponible Quantifying the completeness of and correspondence between two historical maps: a case study from nineteenth-century Palestine / Gad Schaffer in Cartography and Geographic Information Science, Vol 43 n° 2 (April - May 2016)PermalinkTemporal MODIS data for identification of wheat crop using noise clustering soft classification approach / Priyadarshi Upadhyay in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)PermalinkAssessment of the cover changes and the soil loss potential in European forestland: First approach to derive indicators to capture the ecological impacts on soil-related forest ecosystems / P. Borrelli in Ecological indicators, vol 60 (January 2016)PermalinkAutomatisation des processus de création d’atlas dynamique et interactif développé pour internet / Victoire Marlet (2016)PermalinkEffects of water and heat on growth of winter wheat in the North China Plain / Hongyan Wang in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)PermalinkPermalinkPlus de 50 ans de productions agricoles franciliennes : une terre de grandes cultures aux portes de Paris / Sylvie Bernadet (2016)PermalinkPointwise approach for texture analysis and characterization from very high resolution remote sensing images / Minh-Tan Pham (2016)PermalinkAutomated annual cropland mapping using knowledge-based temporal features / François Waldner in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)PermalinkModernization of the Nova Scotia coordinate referencing system through active control technology / Jason Bond in Geomatica, vol 69 n° 4 (December 2015)Permalink