A 30+ Year AVHRR Land Surface Reflectance Climate Data Record and Its Application to Wheat Yield Monitoring
Tóm tắt
Từ khóa
Tài liệu tham khảo
Zhang, 2015, Reconstruction of a complete global time series of daily vegetation index trajectory from long-term AVHRR data, Remote Sens. Environ., 156, 457, 10.1016/j.rse.2014.10.012
Vermote, 1995, Absolute calibration of AVHRR visible and near-infrared channels using ocean and cloud views, Int. J. Remote Sens., 16, 2317, 10.1080/01431169508954561
Vermote, 2006, Calibration of NOAA16 AVHRR over a desert site using MODIS data, Remote Sens. Environ., 105, 214, 10.1016/j.rse.2006.06.015
Arbelo, 2012, Burned area mapping time series in Canada (1984–1999) from NOAA-AVHRR LTDR: A comparison with other remote sensing products and fire perimeters, Remote Sens. Environ., 117, 407, 10.1016/j.rse.2011.10.017
Liras, 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, 10.3390/s100201291
Verger, A., Baret, F., Weiss, M., Lacaze, R., Makhmara, H., Pacholczyk, P., Smets, B., Kandasamy, S., and Vermote, E. (2012, January 22–27). LAI, FAPAR and FCOVER products derived from AVHRR long time series: Principles and evaluation. Proceedings of the EGU General Assembly 2012, Vienna, Austria.
Vermote, 2010, A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data, Remote Sens. Environ., 114, 1312, 10.1016/j.rse.2010.01.010
Franch, 2015, Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information, Remote Sens. Environ., 161, 131, 10.1016/j.rse.2015.02.014
Pedelty, J., Devadiga, S., Masuoka, E., Brown, M., Pinzon, J., Tucker, C., Roy, D., Ju, J., Vermote, E., and Prince, S. (2007, January 23–28). Generating a long-term land data record from the AVHRR and MODIS Instruments. Proceedings of the IGARSS 2007—2007 IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain.
Vermote, 2000, Improvements in the global biospheric record from the Advanced Very High Resolution Radiometer (AVHRR), Int. J. Remote Sens., 21, 1251, 10.1080/014311600210164
Cosnefroy, 1996, Selection and characterization of Saharan and Arabian desert sites for the calibration of optical satellite sensors, Remote Sens. Environ., 58, 101, 10.1016/0034-4257(95)00211-1
Schaaf, 2002, First operational BRDF, albedo nadir reflectance products from MODIS, Remote Sens. Environ., 83, 135, 10.1016/S0034-4257(02)00091-3
Vermote, 1997, Second Simulation of the Satellite Signal in the Solar Spectrum (6S): An overview, IEEE Trans. Geosci. Remote Sens., 35, 675, 10.1109/36.581987
Stowe, 1999, Scientific Basis and Initial Evaluation of the CLAVR-1 Global Clear/Cloud Classification Algorithm for the Advanced Very High Resolution Radiometer, J. Atmos. Ocean. Technol., 16, 656, 10.1175/1520-0426(1999)016<0656:SBAIEO>2.0.CO;2
Holben, 1998, AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization, Remote Sens. Environ., 66, 1, 10.1016/S0034-4257(98)00031-5
Morisette, 2002, A framework for the validation of MODIS Land products, Remote Sens. Environ., 83, 77, 10.1016/S0034-4257(02)00088-3
Vermote, 2009, Towards a generalized approach for correction of the BRDF effect in MODIS directional reflectances, IEEE Trans. Geosci. Remote Sens., 47, 898, 10.1109/TGRS.2008.2005977
Baret, 2006, Evaluation of the representativeness of networks of sites for the global validation and intercomparison of land biophysical products: Proposition of the CEOS-BELMANIP, Geosci. Remote Sens. IEEE Trans., 44, 1794, 10.1109/TGRS.2006.876030
Wolfe, 2002, Achieving sub-pixel geolocation accuracy in support of MODIS land science, Remote Sens. Environ., 83, 31, 10.1016/S0034-4257(02)00085-8
Leroy, 1994, Sun and view angle corrections on reflectances derived from NOAA/AVHRR data, IEEE Trans. Geosci. Remote Sens., 32, 684, 10.1109/36.297985
Bicheron, 2011, Geolocation Assessment of MERIS GlobCover Orthorectified Products, IEEE Trans. Geosci. Remote Sens., 49, 2972, 10.1109/TGRS.2011.2122337
Evans, R.H., Casey, K.S., and Cornillon, P.C. (2010). Transition of AVHRR SST Pathfinder to Version 6, Continued Evolution of a CDR, American Geophysical Union.
Rao, 1996, Post-launch Calibration of the Visible and Near-Infrared Channels of the Advanced Very High Resolution Radiometer on the NOAA-14 Spacecraft, Int. J. Remote Sens., 17, 2743, 10.1080/01431169608949104
Tucker, 2005, An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data, Int. J. Remote Sens., 26, 4485, 10.1080/01431160500168686
Claverie, M., Vermote, E., and Program, N.C. (2014). NOAA Climate Data Record (CDR) of Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Version 4, NOAA National Climatic Data Center.
Claverie, M., Matthews, J.L., Vermote, E.F., and Justice, C.O. (2016). A 30+ Year AVHRR LAI and FAPAR Climate Data Record: Algorithm Description and Validation. Remote Sens., 8.
Garrigues, S., Lacaze, R., Baret, F., Morisette, J.T., Weiss, M., Nickeson, J.E., Fernandes, R., Plummer, S., Shabanov, N.V., and Myneni, R.B. (2008). Validation and intercomparison of global Leaf Area Index products derived from remote sensing data. J. Geophys. Res. Biogeosci., 113.