Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data
作者： M.C Hansen , R.S DeFries , J.R.G Townshend , R Sohlberg , C Dimiceli
DOI: 10.1016/S0034-4257(02)00079-2
关键词: Environmental science 、 Remote sensing 、 Advanced very-high-resolution radiometer 、 Land cover 、 Decision tree 、 Cover (algebra) 、 Tree (data structure) 、 Data set 、 Moderate-resolution imaging spectroradiometer 、 Vegetation 、 Algorithm
摘要: The continuous fields Moderate Resolution Imaging Spectroradiometer (MODIS) land cover products are 500-m sub-pixel representations of basic vegetation characteristics including tree, herbaceous and bare ground cover. Our previous approach to deriving used a linear mixture model based on spectral endmembers forest, grassland training. We present here new for estimating percent tree employing training data over the whole range set is derived by aggregating high-resolution coarse scales with multi-temporal metrics full year resolution satellite data. A regression algorithm predict dependent variable signatures from multitemporal metrics. automated was tested globally using Advanced Very High Radiometer (AVHRR) data, as MODIS has not yet been collected. root mean square error (rmse) 9.06% found global set. Preliminary also presented, 250-m map lower 48 United States maps leaf type North America. Results show that offers an improved characterization
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sci-hub.se 参考文章(21)
D.S. Powell, Z. Zhu, J.L. Faulkner, D.W. MacCleery, D.R. Darr, Forest resources of the United States, 1992. Forest Service general technical report (Final) ,(1993)
E. Ayensu, ECOLOGY:International Ecosystem Assessment Science. ,vol. 286, pp. 685- 686 ,(1999) , 10.1126/SCIENCE.286.5440.685
IGBP Terrestrial Carbon Working Group, CLIMATE: The Terrestrial Carbon Cycle: Implications for the Kyoto Protocol Science. ,vol. 280, pp. 1393- 1394 ,(1998) , 10.1126/SCIENCE.280.5368.1393
A. MOODY, A. H. STRAHLER, Characteristics of composited AVHRR data and problems in their classification International Journal of Remote Sensing. ,vol. 15, pp. 3473- 3491 ,(1994) , 10.1080/01431169408954341
BRENT N. HOLBEN, Characteristics of maximum-value composite images from temporal AVHRR data International Journal of Remote Sensing. ,vol. 7, pp. 1417- 1434 ,(1986) , 10.1080/01431168608948945
Ruth DeFries, Matthew Hansen, Marc Steininger, Ralph Dubayah, Robert Sohlberg, John Townshend, Subpixel forest cover in central Africa from multisensor, multitemporal data Remote Sensing of Environment. ,vol. 60, pp. 228- 246 ,(1997) , 10.1016/S0034-4257(96)00119-8
Ruth S. DeFries, Christopher B. Field, Inez Fung, Christopher O. Justice, Sietse Los, Pamela A. Matson, Elaine Matthews, Harold A. Mooney, Christopher S. Potter, Katharine Prentice, Piers J. Sellers, John R. G. Townshend, Compton J. Tucker, Susan L. Ustin, Peter M. Vitousek, Mapping the land surface for global atmosphere‐biosphere models: Toward continuous distributions of vegetation's functional properties Journal of Geophysical Research. ,vol. 100, pp. 20867- 20882 ,(1995) , 10.1029/95JD01536
J. C. EIDENSHINK, J. L. FAUNDEEN, The 1 km AVHRR global land data set: first stages in implementation International Journal of Remote Sensing. ,vol. 15, pp. 3443- 3462 ,(1994) , 10.1080/01431169408954339
W. VERHOEF, M. MENENTI, S. AZZALI, A colour composite of NOAA-AVHRR-NDVI based on time series analysis (1981-1992) International Journal of Remote Sensing. ,vol. 17, pp. 231- 235 ,(1996) , 10.1080/01431169608949001
J. R. G. TOWNSHEND, C. O. JUSTICE, Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations International Journal of Remote Sensing. ,vol. 9, pp. 187- 236 ,(1988) , 10.1080/01431168808954847