- -

Cambios en la producción primaria bruta (GPP) de la vegetación natural en la Comunidad Valenciana (2001-2018)

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Cambios en la producción primaria bruta (GPP) de la vegetación natural en la Comunidad Valenciana (2001-2018)

Mostrar el registro completo del ítem

Martínez, B.; Sánchez-Ruiz, S.; Campos-Taberner, M.; García-Haro, FJ.; Gilabert, MA. (2023). Cambios en la producción primaria bruta (GPP) de la vegetación natural en la Comunidad Valenciana (2001-2018). Revista de Teledetección. (61):15-27. https://doi.org/10.4995/raet.2023.18659

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/191684

Ficheros en el ítem

Metadatos del ítem

Título: Cambios en la producción primaria bruta (GPP) de la vegetación natural en la Comunidad Valenciana (2001-2018)
Otro titulo: Gross primary production (GPP) changes of natural vegetation in the Comunidad Valenciana (2001-2018)
Autor: Martínez, Beatriz Sánchez-Ruiz, Sergio Campos-Taberner, Manuel García-Haro, Francisco Javier Gilabert, María Amparo
Fecha difusión:
Resumen:
[EN] This work analyzes the vegetation changes in the Comunidad Valenciana observed during the period 2001-2018, using the daily GPP (Gross Primary Production) time series at 1-km spatial resolution derived from Earth ...[+]


[ES] Este trabajo analiza los cambios en la vegetación natural de la Comunidad Valenciana experimentados durante el periodo 2001-2018. Para ello se utiliza un producto de GPP (Gross Primary Production) diario a 1 km de ...[+]
Palabras clave: Gross primary production , Changes , Forest fires , Wavelets , Producción primaria bruta , Cambios , Incendios forestales
Derechos de uso: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Fuente:
Revista de Teledetección. (issn: 1133-0953 ) (eissn: 1988-8740 )
DOI: 10.4995/raet.2023.18659
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/raet.2023.18659
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/ESCENARIOS/CGL2012–35831
info:eu-repo/grantAgreement/AEI/ECCE EO/PID2020-18036RB-I00
Agradecimientos:
Trabajo financiado por los proyectos LSA SAF (EUMETSAT), ESCENARIOS (CGL2012–35831) y ECCE EO (ayuda PID2020-18036RB-I00 financiada por MCIN/AEI/ 10.13039/501100011033 y por “FEDER Una manera de hacer Europa”).
Tipo: Artículo

Localización


 

References

Alcaraz-Segura, D., Liras, E., Tabik, S., Paruelo, J., Cabello, J. 2010. Evaluating the Consistency of the 1982-1999 NDVI Trends in the Iberian Peninsula across Four Time-series Derived from the AVHRR Sensor: LTDR, GIMMS, FASIR, and PAL-II. Sensors, 10, 1291-1314. https://doi.org/10.3390/s100201291

Alsamamra, H., Ruiz-Arias, J.A., Pozo-Vázquez, D., Tovar-Pescador, J. 2009._A comparative study of ordinary and residual kriging techniques for mapping global solar radiation over southern Spain, Agricultural and Forest Meteorology, 149(8), 1343-1357. https://doi.org/10.1016/j.agrformet.2009.03.005

Azzali, A., Menenti, M. 2000. Mapping vegetation-soil complexes in southern Africa using temporal Fourier analysis of NOAA AVHRR NDVI data. International Journal of Remote Sensing, 21, 973−996. https://doi.org/10.1080/014311600210380 [+]
Alcaraz-Segura, D., Liras, E., Tabik, S., Paruelo, J., Cabello, J. 2010. Evaluating the Consistency of the 1982-1999 NDVI Trends in the Iberian Peninsula across Four Time-series Derived from the AVHRR Sensor: LTDR, GIMMS, FASIR, and PAL-II. Sensors, 10, 1291-1314. https://doi.org/10.3390/s100201291

Alsamamra, H., Ruiz-Arias, J.A., Pozo-Vázquez, D., Tovar-Pescador, J. 2009._A comparative study of ordinary and residual kriging techniques for mapping global solar radiation over southern Spain, Agricultural and Forest Meteorology, 149(8), 1343-1357. https://doi.org/10.1016/j.agrformet.2009.03.005

Azzali, A., Menenti, M. 2000. Mapping vegetation-soil complexes in southern Africa using temporal Fourier analysis of NOAA AVHRR NDVI data. International Journal of Remote Sensing, 21, 973−996. https://doi.org/10.1080/014311600210380

Ben Abbes, A., Bounouh, O., Farah, I.R., de Jong, R., Martínez, B. 2018. Comparative study of three satellite image time-series decomposition methods for vegetation change detection. European Journal of Remote Sensing, 51(1), 607-615. https://doi.org/10.1080/22797254.2018.1465360

Berdugo, M., Delgado-Baquerizo, M., Soliveres, S., Hernández-Clemente, R., Zhao, Y., Gaitán, J.J., Gross, N., Saiz, H., Maire, V., Lehman, A., Rillig, M.C., Solé, R.V., Maestre, F.T. 2020. Global ecosystem thresholds driven by aridity. Science. 367, 787-790. https://doi.org/10.1126/science.aay5958

CGLOPS1, 2018. Copernicus Global Land Operations "Vegetation and Energy" Product User Manual for Dry Matter Productivity (DMP) and Gross Dry Matter Productivity (GDMP). Collection 1 km, version 2- CGLOPS1_PUM_DMP1km-V2, February 2018, 47 pp.

Chapin III, F.S., Matson, P.A., Mooney, H.A. 2002. Principles of Terrestrial Ecosystem Ecology. Springer-Verlag, New York. https://doi.org/10.1007/b97397

de Beurs, K.M., Henebry, G.M. 2005. A statistical framework for the analysis of long image time series. International Journal of Remote Sensing, 26, 1551−1573. https://doi.org/10.1080/01431160512331326657

de Jong, R. de Bruin, S. de Wit, A. Schaepman, M.E.Dent, D.L. 2011. Analysis of monotonic greening and browning trends from global NDVI time-series. Remote Sensing of Environment, 115(2), 692-702. https://doi.org/10.1016/j.rse.2010.10.011

Furon, A. C., Wagner-Riddle, C., Smith, C. R., Warland, J. S. 2008. Wavelet analysis of wintertime and spring thaw CO2 and N2O fluxes from agricultural fields. Agricultural and Forest Meteorology, 148, 1305−1317. https://doi.org/10.1016/j.agrformet.2008.03.006

Gilabert, M.A., Moreno, A., Maselli, F., Martínez, B., Chiesi, M., Sánchez-Ruiz, S., García-Haro, F.J., Pérez-Hoyos, A., Campos-Taberner, M., PérezPriego, O., Serrano-Ortiz, P., Carrara, A. 2015. Daily GPP estimates in Mediterranean ecosystems by combining remote sensing and meteorological data. ISPRS Journal of Photogrammetry and Remote Sensing, 102, 184-197. https://doi.org/10.1016/j.isprsjprs.2015.01.017

Giner, C., Martínez, B., Gilabert, M.A., Alcaraz-Segura, D. 2012. Tendencias en el verdor de la vegetación y en la producción primaria bruta de las áreas forestales en la España peninsular (2000-2009). Revista de Teledetección, 38, 51-64. Disponible en: http://www.aet.org.es/?q=revista38-7

Heinsch, F.A., Maosheng, Z., Running, S.W., Kimball, J.S., Nemani, R.R., Davis, K.J., et al., 2006. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Transaction on Geoscience and Remote Sensing, 44(7), 1908-1925. https://doi.org/10.1109/TGRS.2005.853936

Huang, S., Tang, L., Hupy, J., Wang, Y., Shao, G. 2020. A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing. Journal of Forest Research, 32, 1-6. https://doi.org/10.1007/s11676-020-01155-1

Jamali, S., Jönsson, P., Eklundh, L., Ardö, J., Seaquist, J. 2015. Detecting changes in vegetation trends using time series segmentation. Remote Sensing of Environment, 156, 182-195. https://doi.org/10.1016/j.rse.2014.09.010

Jones, L.A., Kimball, J.S., Reichle, R.H., Madani, N., Glassy, J., Ardizzone, J.V., et al. 2017. The SMAP level 4 carbon product for monitoring ecosystem land-atmosphere CO2 exchange. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6517- 6532. https://doi.org/10.1109/TGRS.2017.2729343

Kimball, J.S., Jones, L.A., Zhang, K., Heinsch, F.A., McDonald, K.C., Oechel, W.C. 2009. A satellite approach to estimate land-atmosphere CO2 exchange for boreal and arctic biomes using MODIS and AMSR-E. IEEE Transactions on Geoscience and Remote Sensing, 47(2), 569-587. https://doi.org/10.1109/TGRS.2008.2003248

Li, X.B., Chen, Y.H., Fan, Y. Da, Zhang, Y.X. 2003. Detecting inter-annual variations of vegetation growth based on satellite-sensed vegetation index data from 1983 to 1999. International Geoscience and Remote Sensing Symposium (IGARSS), 5(C), 3263-3265.

McKee, T.B., Doesken, N.J., Kliest, J. 1993. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference of Applied Climatology, 17-22 January, Anaheim, CA. American Meteorological Society, Boston, MA. 179-184.

Martínez, B., Gilabert, M.A. 2009. Vegetation dynamics from NDVI time series analysis using the wavelet transform. Remote Sensing of Environment, 113(9), 1823-1842. https://doi.org/10.1016/j.rse.2009.04.016

Martínez, B. Gilabert, M.A. García-Haro, F.J. Faye, A. Meliá, J. 2011. Characterizing land condition variability in Ferlo, Senegal (2001-2009) using multi-temporal 1-km Apparent Green Cover (AGC) SPOT Vegetation data. Global and Planetary Change, 76, 152-165. https://doi.org/10.1016/j.gloplacha.2011.01.001

Monteith, J.L. 1972. Solar radiation and productivity in tropical ecosystems. Journal of Applied Ecology, 9, 747-766. https://doi.org/10.2307/2401901

Moreno, A., Gilabert, M.A., Martínez, B. 2011. Mapping daily global solar irradiation over Spain: a comparative study of selected approaches. Solar Energy, 85, 2072-2084. https://doi.org/10.1016/j.solener.2011.05.017

Percival, D.B., Walden, A.T. (2000). Wavelet methods for time series analysis. Cambridge University Press 594 pp. https://doi.org/10.1017/CBO9780511841040

Pérez-Hoyos, A., García-Haro, F.J., San Miguel-Ayanz, J. 2012a. A methodology to generate a synergetic land-cover map by fusion of different land-cover products. International Journal of Applied Earth Observation and Geoinformation, 19, 72-87. https://doi.org/10.1016/j.jag.2012.04.011

Pérez-Hoyos, A., García-Haro, F.J., San-MiguelAyanz, J. 2012b. Conventional and fuzzy comparisons of large-scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe. ISPRS Journal of Photogrammetry and Remote Sensing, 74, 185-201. https://doi.org/10.1016/j.isprsjprs.2012.09.006

Poyatos, R., Latron, J. Llorens, P. 2003. Land Use and Land Cover Change After Agricultural Abandonment. The Case of a Mediterranean Mountain Area (Catalan Pre-Pyrenees). Mountain Research and Development, 23(4), 362-368. https://doi.org/10.1659/0276-4741(2003)023[0362:LUALCC]2.0.CO;2

Rhif, M., Ben Abbes, A., Farah, I.R., Martínez, B., Sang, Y. 2019. Wavelet transform application for/in nonstationary time-series analysis: A review. Applyed Sciences, 9(7), 1345. https://doi.org/10.3390/app9071345

Rigina, O., Rasmussen, M.S. 2003. Using trend line and principal component analysis to study vegetation changes in Senegal 1986-1999 from AVHRR NDVI 8 km data. Geografisk Tidsskrift, Danish Journal of Geography, 103(1), 31−42. https://doi.org/10.1080/00167223.2003.10649477

Roujean, J.L., Breon, F.M. 1995. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements, Remote Sensing of Environment, 51(3), 375-384. https://doi.org/10.1016/0034-4257(94)00114-3

Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W., Harlan, J.C. 1974. Monitoring the vernal advancement of retrogradation of natural vegetation, Final Report, Type III, NASA/GSFC, Greenbelt, MD, 371 pp.

Running, S.W., Nemani, R.R., Heinsch, F.A., Zhao, M., Reeves, M., Hashimoto, H. 2004. Continuous Satellite-Derived Measure of Global Terrestrial Primary Production, BioScience, 54(6), 547-560. https://doi.org/10.1641/0006-3568(2004)054[0547:ACSMOG]2.0.CO;2

Schimel, D. 2010. Drylands in the earth system. Science, 22, 418-419. https://doi.org/10.1126/science.1184946

Stöckli, R., Vidale, P.L. 2004. European plant phenology and climate as seen in a 20-year AVHRR landsurface parameter dataset. International Journal of Remote Sensing, 25, 3303−3330. https://doi.org/10.1080/01431160310001618149

Tramontana, G., Jung, M., Schwalm, C.R., Ichii, K., Camps-Valls, G., Radulu, B., et al., 2016. Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression. Biogeosciences 13, 4291-4313. https://doi.org/10.5194/bg-13-4291-2016

Verbesselt, J., Hyndman, R., Newnham, G., Culvenor, D. 2010. Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment, 114(1), 106-115. https://doi.org/10.1016/j.rse.2009.08.014

Xiao, J. Chevallier, F. Gomez, C. Guanter, L. Hicke, J.A. Huete, A.R. Ichii, K. Ni, W. Pang, Y. Rahman, A.F. et al., 2019. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years. Remote Sensing of Environment, 233, 111383. https://doi.org/10.1016/j.rse.2019.111383

Zhao, X., Hu, H., Shen, H., Zhou, D., Zhou, L., Myneni, R.B., Fang, J. 2015 Satellite-indicated longterm vegetation changes and their drivers on the Mongolian Plateau. Landscape Ecology, 30, 1599-611. https://doi.org/10.1007/s10980-014-0095-y

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem