On scales and dynamics in observing the environment

References

• Abuelgasim , A. A. , Ross , W. D. , Gopal , S. and Woodcock , C. E. 1999 . Change detection using adaptive fuzzy neural networks: environmental damage assessment after the Gulf War. . Remote Sensing of Environment , 70 : 208 – 223 .
   Web of Science ®Google Scholar
• Al‐Khudhairy , D. H. A. , Caravaggi , I. and Glada , S. 2005 . Structural damage assessments from Ikonos data using change detection, object‐oriented segmentation, and classification techniques. . Photogrammetric Engineering and Remote Sensing , 71 : 825 – 837 .
   Web of Science ®Google Scholar
• Anderson , M. C. , Neale , C. M. U. , Li , F. , Norman , J. M. , Kustas , W. P. , Jayanthi , H. and Chavez , J. 2004 . Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery. . Remote Sensing of Environment , 92 : 447 – 464 .
   Web of Science ®Google Scholar
• Andrefouet , S. , Hochberg , E. J. , Payri , C. , Atkinson , M. J. , Muller‐Karger , F. E. and Ripley , H. 2003 . Multi‐scale remote sensing of microbial mats in an atoll environment. . International Journal of Remote Sensing , 24 : 2661 – 2682 .
   Web of Science ®Google Scholar
• Aplin , P. 2003 . Remote sensing: base mapping. . Progress in Physical Geography , 27 : 275 – 283 .
   Web of Science ®Google Scholar
• Aplin , P. 2005 . Remote sensing: ecology. . Progress in Physical Geography , 29 : 104 – 113 .
   Web of Science ®Google Scholar
• Aplin , P. and Atkinson , P. M. 2001 . Sub‐pixel land cover mapping for per‐field classification. . International Journal of Remote Sensing , 22 : 2853 – 2858 .
   Web of Science ®Google Scholar
• Aplin , P. and Atkinson , P. M. 2004 . Predicting missing field boundaries to increase per‐field classification accuracy. . Photogrammetric Engineering and Remote Sensing , 70 : 141 – 149 .
   Web of Science ®Google Scholar
• Aplin , P. , Atkinson , P. M. and Curran , P. J. 1997 . Fine spatial resolution satellite sensors for the next decade. . International Journal of Remote Sensing , 18 : 3873 – 3881 .
   Web of Science ®Google Scholar
• Archer , N. A. L. and Jones , H. G. 2006 . Integrating hyperspectral imagery at different scales to estimate component surface temperatures. . International Journal of Remote Sensing , 27 : 2141 – 2159 .
   Web of Science ®Google Scholar
• Ashton , E. A. and Schaum , A. 1998 . Algorithms for the detection of sub‐pixel targets in multispectral imagery. . Photogrammetric Engineering and Remote Sensing , 64 : 723 – 731 .
   Web of Science ®Google Scholar
• Asner , G. P. , Bustamante , M. M. C. and Townsend , A. R. 2003 . Scale dependence of biophysical structure in deforested areas bordering the Tapajo's National Forest, Central Amazon. . Remote Sensing of Environment , 87 : 507 – 520 .
   Web of Science ®Google Scholar
• Atkinson , P. M. 2005 . Sub‐pixel target mapping from soft‐classified, remotely sensed imagery. . Photogrammetric Engineering and Remote Sensing , 71 : 839 – 846 .
   Web of Science ®Google Scholar
• Atkinson , P. M. and Aplin , P. 2004 . Spatial variation in land cover and choice of spatial resolution for remote sensing. . International Journal of Remote Sensing , 25 : 3687 – 3702 .
   Web of Science ®Google Scholar
• Atkinson , P. M. and Curran , P. J. 1997 . Choosing an appropriate spatial resolution for remote sensing investigations. . Photogrammetric Engineering and Remote Sensing , 63 : 1345 – 1351 .
   Web of Science ®Google Scholar
• Barnes , W. L. , Xiong , X. and Salomonson , V. V. 2003 . Calibration, characterization of satellite sensors, physical parameters derived from satellite data. . Advances in Space Research , 32 : 2099 – 2106 .
   Web of Science ®Google Scholar
• Benie , G. B. , Kabore , S. S. , Goita , K. and Courel , M. F. 2005 . Remote sensing‐based spatio‐temporal modeling to predict biomass in Sahelian grazing ecosystem. . Ecological Modelling , 184 : 341 – 354 .
   Web of Science ®Google Scholar
• Birk , R. J. , Stanley , T. , Snyder , G. I. , Hennig , T. A. , Fladeland , M. M. and Policelli , F. 2003 . Government programs for research and operational uses of commercial remote sensing data. . Remote sensing of Environment , 88 : 3 – 16 .
   Web of Science ®Google Scholar
• Boyd , D. S. , Foody , G. M. and Phipps , P. C. 2006 . Dynamics of ENSO drought events on Sabah Rainforests observed by NOAA AVHRR. . International Journal of Remote Sensing , 27 : 2197 – 2219 .
   Web of Science ®Google Scholar
• Bradley , A. V. and Millington , A. C. 2006 . Spatial and temporal scale issues in determining biomass burning regimes in Bolivia and Peru. . International Journal of Remote Sensing , 27 : 2221 – 2253 .
   Web of Science ®Google Scholar
• Canty , M. J. , Nielsen , A. A. and Schmidt , M. 2004 . Automatic radiometric normalization of multitemporal satellite imagery. . Remote Sensing of Environment , 91 : 441 – 451 .
   Web of Science ®Google Scholar
• Casanova , C. , Romo , A. , Hernandez , E. , Casanova , J. L. and Sanz , J. 2005 . Rapid response for cloud monitoring through Meteosat VIS‐IR and NOAA‐A/TOVS image fusion: civil aviation application. A first approach to MSG‐SEVIRI. . International Journal of Remote Sensing , 26 : 1699 – 1716 .
   Web of Science ®Google Scholar
• Chen , D. , Stow , D. A. and Gong , P. 2004 . Examining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case. . International Journal of Remote Sensing , 25 : 2177 – 2192 .
   Web of Science ®Google Scholar
• Chen , J. , Gong , P. , He , C. Y. , Pu , R. L. and Shi , P. J. 2003 . Land‐use/land‐cover change detection using improved change‐vector analysis. . Photogrammetric Engineering and Remote Sensing , 69 : 369 – 379 .
   Web of Science ®Google Scholar
• Cheng , K. S. , Wei , C. and Chang , S. C. 2004 . Locating landslides using multi‐temporal satellite images. . Advances in Space Research , 33 : 296 – 301 .
   Web of Science ®Google Scholar
• Chhikara , R. S. 1984 . Effect of mixed (boundary) pixels on crop proportion estimation. . Remote Sensing of Environment , 14 : 207 – 218 .
   Web of Science ®Google Scholar
• Colwell , R. N. and Poulton , C. E. 1985 . Spot simulation imagery for urban monitoring – a comparison with Landsat TM and MSS imagery and with high‐altitude color infrared photography. . Photogrammetric Engineering and Remote Sensing , 51 : 1093 – 1101 .
   Web of Science ®Google Scholar
• Coops , N. C. and Waring , R. H. 2001 . The use of multiscale remote sensing imagery to derive regional estimates of forest growth capacity using 3‐PGS. . Remote Sensing of Environment , 75 : 324 – 334 .
   Web of Science ®Google Scholar
• Coppin , P. R. and Bauer , M. E. 1996 . Digital change detection in forest ecosystems with remote sensing imagery. . Remote Sensing Reviews , 13 : 207 – 234 .
   Google Scholar
• Coppin , P. , Jonckheere , I. , Nackaerts , K. , Muys , B. and Lambin , E. 2004 . Digital change detection methods in ecosystem monitoring: a review. . International Journal of Remote Sensing , 25 : 1565 – 1596 .
   Web of Science ®Google Scholar
• Cova , T. J. , Sutton , P. C. and Theobald , D. M. 2004 . Exurban change detection in fire‐prone areas with nighttime satellite imagery. . Photogrammetric Engineering and Remote Sensing , 70 : 1249 – 1257 .
   Web of Science ®Google Scholar
• Cracknell , A. P. 1998 . Synergy in remote sensing—what's in a pixel? . International Journal of Remote Sensing , 19 : 2025 – 2047 .
   Web of Science ®Google Scholar
• Cullinan , V. I. and Thomas , J. M. 1992 . A comparison of quantitative methods for examining landscape pattern and scale. . Landscape Ecology , 7 : 211 – 227 .
   Web of Science ®Google Scholar
• Curran , P. J. and Atkinson , P. M. 1998 . Geostatistics and remote sensing. . Progress in Physical Geography , 22 : 61 – 78 .
   Web of Science ®Google Scholar
• Currey , B. , Fraser , A. S. and Bardsley , K. L. 1987 . How useful is Landsat monitoring? . Nature , 328 : 587 – 589 .
   Web of Science ®Google Scholar
• Cushnie , J. L. 1987 . The interactive effect of spatial resolution and degree of internal variability within land‐cover types on classification accuracies. . International Journal of Remote Sensing , 8 : 15 – 29 .
   Web of Science ®Google Scholar
• Da Silva , P. C. F. , Cripps , J. C. and Wise , S. M. 2005 . The use of remote sensing techniques and empirical tectonic models for inference of geological structures: bridging from regional to local scales. . Remote Sensing of Environment , 96 : 18 – 36 .
   Web of Science ®Google Scholar
• Del Frate , F. , Ferrazzoli , P. , Guerriero , L. , Strozzi , T. , Wegmuller , U. , Cookmartin , G. and Quegan , S. 2004 . Wheat cycle monitoring using radar data and a neural network trained by a model. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 35 – 44 .
   Web of Science ®Google Scholar
• Dial , G. , Bowen , H. , Gerlach , F. , Grodecki , J. and Oleszczuk , R. 2003 . IKONOS satellite, imagery, and products. . Remote Sensing of Environment , 88 : 23 – 36 .
   Web of Science ®Google Scholar
• Donoghue , D. N. M. and Watt , P. J. 2006 . Using LiDAR to compare forest height estimates from IKONOS and Landsat ETM+ data in Sitka spruce plantation forests. . International Journal of Remote Sensing , 27 : 2161 – 2175 .
   Web of Science ®Google Scholar
• Doraiswamy , P. C. , Hatfield , J. L. , Jackson , T. J. , Akhmedov , B. , Prueger , J. and Stern , A. 2004 . Crop condition and yield simulations using Landsat and MODIS. . Remote Sensing of Environment , 92 : 548 – 559 .
   Web of Science ®Google Scholar
• Doxaran , D. , Castaing , P. and Lavender , S. J. 2006 . Monitoring the maximum turbidity zone and detecting fine‐scale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM+) data. . International Journal of Remote Sensing , 27 : 2303 – 2321 .
   Web of Science ®Google Scholar
• Du , Y. , Teillet , P. M. and Cihlar , J. 2002 . Radiometric normalization of multitemporal high‐resolution satellite images with quality control for land cover change detection. . Remote Sensing of Environment , 82 : 123 – 134 .
   Web of Science ®Google Scholar
• Duchemin , B. , Guyon , D. and Lagouarde , J. P. 1999 . Potential and limits of NOAA‐AVHRR temporal composite data for phenology and water stress monitoring of temperate forest ecosystems. . International Journal of Remote Sensing , 20 : 895 – 917 .
   Web of Science ®Google Scholar
• Dymond , C. C. , Mladenoff , D. J. and Radeloff , V. C. 2002 . Phenological differences in Tasseled Cap indices improve deciduous forest classification. . Remote Sensing of Environment , 80 : 460 – 472 .
   Web of Science ®Google Scholar
• Elvidge , C. D. , Dietz , J. B. , Berkelmans , R. , Andrefouet , S. , Skirving , W. , Strong , A. E. and Tuttle , B. T. 2004 . Satellite observation of Keppel Islands (Great Barrier Reef) 2002 coral bleaching using IKONOS data. . Coral Reefs , 23 : 123 – 132 .
   Web of Science ®Google Scholar
• Emerson , C. W. , Lam , N. S. N. and Quattrochi , D. A. 2005 . A comparison of local variance, fractal dimension, and Moran's I as aids to multispectral image classification. . International Journal of Remote Sensing , 26 : 1575 – 1588 .
   Web of Science ®Google Scholar
• Eugenio , F. and Marques , F. 2003 . Automatic satellite image georeferencing using a contour‐matching approach. . IEEE Transactions on Geoscience and Remote Sensing , 41 : 2869 – 2880 .
   Web of Science ®Google Scholar
• Feidas , H. and Cartalis , C. 2005 . Application of an automated cloud‐tracking algorithm on satellite imagery for tracking and monitoring small mesoscale convective cloud systems. . International Journal of Remote Sensing , 26 : 1677 – 1698 .
   Web of Science ®Google Scholar
• Ferreira , M. T. , Aguiar , F. C. and Nogueira , C. 2005 . Changes in Riparian woods over space and time: influence of environment and land use. . Forest Ecology and Management , 212 : 145 – 159 .
   Web of Science ®Google Scholar
• Fisher , P. 1998 . The pixel: a snare and a delusion. . International Journal of Remote Sensing , 18 : 679 – 685 .
   Web of Science ®Google Scholar
• Forshaw , M. R. B. , Haskell , A. , Miller , P. F. , Stanley , D. J. and Townshend , J. R. G. 1983 . Spatial resolution of remotely sensed imagery. A review paper. . International Journal of Remote Sensing , 4 : 497 – 520 .
   Web of Science ®Google Scholar
• Goward , S. N. , Davis , P. E. , Fleming , D. , Miller , L. and Townshend , J. R. 2003 . Empirical comparison of Landsat 7 and IKONOS multispectral measurements for selected Earth Observation System (EOS) validation sites. . Remote Sensing of Environment , 88 : 80 – 99 .
   Web of Science ®Google Scholar
• Goward , S. N. , Masek , J. G. , Williams , D. L. , Irons , J. R. and Thompson , R. J. 2001 . The Landsat 7 mission – Terrestrial research and applications for the 21st century. . Remote Sensing of Environment , 78 : 3 – 12 .
   Web of Science ®Google Scholar
• Granados‐Ramirez , R. , Reyna‐Trujillo , T. , Gomez‐Rodriguez , G. and Soria‐Ruiz , J. 2004 . Analysis of NOAA‐AVHRR‐NDVI images for crops monitoring. . International Journal of Remote Sensing , 25 : 1615 – 1627 .
   Web of Science ®Google Scholar
• Greenberg , J. A. , Kefauver , S. C. , Stimson , H. C. , Yeaton , C. J. and Ustin , S. L. 2005 . Survival analysis of a neotropical rainforest using multitemporal satellite imagery. . Remote Sensing of Environment , 96 : 202 – 211 .
   Web of Science ®Google Scholar
• Guerra , F. , Puig , H. and Chaume , R. 1998 . The forest‐savanna dynamics from multi‐date Landsat‐TM data in Sierra Parima, Venezuela. . International Journal of Remote Sensing , 19 : 2061 – 2075 .
   Web of Science ®Google Scholar
• Guienko , G. A. 2004 . Geometric accuracy of ikonos: zoom in. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 209 – 214 .
   Web of Science ®Google Scholar
• Hay , G. J. , Niemann , K. O. and Goodenough , D. G. 1997 . Spatial thresholds, image‐objects, and upscaling: a multiscale evaluation. . Remote Sensing of Environment , 62 : 1 – 19 .
   Web of Science ®Google Scholar
• Herold , M. , Goldstein , N. C. and Clarke , K. C. 2003 . The spatiotemporal form of urban growth: measurement, analysis and modeling. . Remote Sensing of Environment , 86 : 286 – 302 .
   Web of Science ®Google Scholar
• Hsieh , P. F. , Lee , L. C. and Chen , N. Y. 2001 . Effect of spatial resolution on classification errors of pure and mixed pixels in remote sensing. . IEEE Transactions on Geoscience and Remote Sensing , 39 : 2657 – 2663 .
   Web of Science ®Google Scholar
• Ingram , J. C. and Dawson , T. P. 2005 . Inter‐annual analysis of deforestation hotspots in Madagascar from high temporal resolution satellite observations. . International Journal of Remote Sensing , 26 : 1447 – 1461 .
   Web of Science ®Google Scholar
• Jeon , B. and Landgrebe , D. A. 1992 . Classification with spatiotemporal interpixel class dependency contexts. . IEEE Transactions on Geoscience and Remote Sensing , 30 : 663 – 672 .
   Web of Science ®Google Scholar
• Jin , S. M. and Sader , S. A. 2005 . Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances. . Remote Sensing of Environment , 94 : 364 – 372 .
   Web of Science ®Google Scholar
• Ju , J. C. , Gopal , S. and Kolaczyk , E. D. 2005 . On the choice of spatial and categorical scale in remote sensing land cover classification. . Remote Sensing of Environment , 96 : 62 – 77 .
   Web of Science ®Google Scholar
• Jupp , D. L. B. , Strahler , A. H. and Woodcock , C. E. 1988 . Autocorrelation and regularization in digital images: I. Basic theory. . IEEE Transactions on Geoscience and Remote Sensing , 26 : 463 – 473 .
   Web of Science ®Google Scholar
• Justice , C. O. , Markham , B. L. , Townshend , J. R. G. and Kennard , R. L. 1989 . Spatial degradation of satellite data. . International Journal of Remote Sensing , 10 : 1539 – 1561 .
   Web of Science ®Google Scholar
• Justice , C. O. , Townshend , J. R. G. , Vermote , E. F. , Masuoka , E. , Wolfe , R. E. , Saleous , N. , Roy , D. P. and Morisette , J. T. 2002 . An overview of MODIS Land data processing and product status. . Remote Sensing of Environment , 83 : 3 – 15 .
   Web of Science ®Google Scholar
• Kang , S. , Running , S. W. , Zhao , M. , Kimball , J. S. and Glassy , J. 2005 . Improving continuity of MODIS terrestrial photosynthesis products using an interpolation scheme for cloudy pixels. . International Journal of Remote Sensing , 26 : 1659 – 1676 .
   Web of Science ®Google Scholar
• Kardoulas , N. G. , Bird , A. C. and Lawan , A. I. 1996 . Geometric correction of SPOT and Landsat imagery: a comparison of map‐ and GPS‐derived control points. . Photogrammetric Engineering and Remote Sensing , 62 : 1173 – 1177 .
   Web of Science ®Google Scholar
• Kasetkasem , T. , Arora , M. K. and Varshney , P. K. 2005 . Super‐resolution land cover mapping using a Markov random field based approach. . Remote Sensing of Environment , 96 : 302 – 314 .
   Web of Science ®Google Scholar
• Katartzis , A. , Vanhamel , I. and Sahli , H. 2005 . A hierarchical Markovian model for multiscale region‐based classification of vector‐valued images. . IEEE Transactions on Geoscience and Remote Sensing , 43 : 548 – 558 .
   Web of Science ®Google Scholar
• Kelly , R. E. J. , Davie , T. J. A. and Atkinson , P. M. 2003 . Explaining temporal and spatial variation in soil moisture in a bare field using SAR imagery. . International Journal of Remote Sensing , 24 : 3059 – 3074 .
   Web of Science ®Google Scholar
• Kim , G. and Barros , A. P. 2002 . Space‐time characterization of soil moisture from passive microwave remotely sensed imagery and ancillary data. . Remote Sensing of Environment , 81 : 393 – 403 .
   Web of Science ®Google Scholar
• Kumar , A. B. , Dwivedi , R. S. and Tiwari , K. N. 1996 . The effects of image scale on delineation of eroded lands using remote sensing data. . International Journal of Remote Sensing , 17 : 2135 – 2143 .
   Web of Science ®Google Scholar
• Lee , D. S. , Storey , J. C. , Choate , M. J. and Hayes , R. W. 2004 . Four years of Landsat‐7 on‐orbit geometric calibration and performance. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 2786 – 2795 .
   Web of Science ®Google Scholar
• Legendre , P. and Fortin , M‐J. 1989 . Spatial pattern and ecological analysis. . Vegetatio , 80 : 107 – 138 .
   Google Scholar
• Legg , C. A. 1991 . A review of Landsat MSS image acquisition over the United Kingdom, 1976–1988, and the implications for operational remote sensing. . International Journal of Remote Sensing , 12 : 93 – 106 .
   Web of Science ®Google Scholar
• Li , X. B. , Chen , Y. H. , Shi , P. J. and Chen , J. 2003 . Detecting vegetation fractional coverage of typical steppe in northern China based on multi‐scale remotely sensed data. . Acta Botanica Sinica , 45 : 1146 – 1156 .
   Google Scholar
• Liang , S. L. , Fang , H. L. , Morisette , J. T. , Chen , M. Z. , Shuey , C. J. , Walthall , C. L. and Daughtry , C. S. T. 2002 . Atmospheric correction of landsat ETM plus land surface imagery – Part II: Validation and applications. . IEEE Transactions on Geoscience and Remote Sensing , 40 : 2736 – 2746 .
   Web of Science ®Google Scholar
• Lin , W. T. , Chou , W. C. , Lin , C. Y. , Huang , P. H. and Tsai , J. S. 2005 . Vegetation recovery monitoring and assessment at landslides caused by earthquake in Central Taiwan. . Forest Ecology and Management , 210 : 55 – 66 .
   Web of Science ®Google Scholar
• Liu , W. G. and Wu , E. Y. 2005 . Comparison of non‐linear mixture models: sub‐pixel classification. . Remote Sensing of Environment , 94 : 145 – 154 .
   Web of Science ®Google Scholar
• Lu , D. S. , Batistella , M. and Moran , E. 2004 . Multitemporal spectral mixture analysis for Amazonian land‐cover change detection. . Canadian Journal of Remote Sensing , 30 : 87 – 100 .
   Web of Science ®Google Scholar
• Lu , Y. and Inamura , M. 2003 . Spatial resolution improvement of remote sensing images by fusion of subpixel‐shifted multi‐observation images. . International Journal of Remote Sensing , 24 : 4647 – 4660 .
   Web of Science ®Google Scholar
• Marceau , D. J. , Gratton , D. J. , Fournier , R. A. and Fortin , J. P. 1994 . Remote sensing and the measurement of geographical entities in a forested environment. 2. The optimal spatial resolution. . Remote Sensing of Environment , 49 : 105 – 117 .
   Web of Science ®Google Scholar
• Markham , B. L. , Storey , J. C. , Williams , D. L. and Irons , J. R. 2004 . Landsat sensor performance: history and current status. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 2691 – 2694 .
   Web of Science ®Google Scholar
• Marshall , G. J. , Dowdeswell , J. A. and Rees , W. G. 1994 . The spatial and temporal effect of cloud cover on the acquisition of high‐quality Landsat imagery in the European Arctic sector. . Remote Sensing of Environment , 50 : 149 – 160 .
   Web of Science ®Google Scholar
• Mather , P. M. 2004 . Computer Processing of Remotely‐Sensed Images: An Introduction, , 3 , Chichester : John Wiley .
   Google Scholar
• Mennis , J. L. and Fountain , A. G. 2001 . A spatio‐temporal GIS database for monitoring alpine glacier change. . Photogrammetric Engineering and Remote Sensing , 67 : 967 – 975 .
   Web of Science ®Google Scholar
• Mertens , K. C. , Verbeke , L. P. C. , Westra , T. and De Wulf , R. R. 2004 . Sub‐pixel mapping and sub‐pixel sharpening using neural network predicted wavelet coefficients. . Remote Sensing of Environment , 91 : 225 – 236 .
   Web of Science ®Google Scholar
• Mika , A. M. 1997 . Three decades of Landsat instruments. . Photogrammetric Engineering and Remote Sensing , 63 : 839 – 852 .
   Web of Science ®Google Scholar
• Miller , P. I. , Shutler , J. D. , Moore , G. F. and Groom , S. B. 2006 . SeaWiFS discrimination of harmful algal bloom evolution. . International Journal of Remote Sensing , 27 : 2287 – 2301 .
   Web of Science ®Google Scholar
• Mills , H. , Cutler , M. E. J. and Fairbairn , D. 2006 . Artificial neural networks for mapping regional‐scale upland vegetation from high‐spatial resolution imagery. . International Journal of Remote Sensing , 27 : 2177 – 2195 .
   Web of Science ®Google Scholar
• Moody , A. and Woodcock , C. E. 1995 . The influence of scale and the spatial characteristics of landscapes on land‐cover mapping using remote sensing. . Landscape Ecology , 10 : 363 – 379 .
   Web of Science ®Google Scholar
• Mukherjee , D. P. and Acton , S. T. 2002 . Cloud tracking by scale space classification. . IEEE Transactions on Geoscience and Remote Sensing , 40 : 405 – 415 .
   Web of Science ®Google Scholar
• Murwira , A. and Skidmore , A. K. 2006 . Monitoring change in the spatial heterogeneity of vegetation cover in an African savanna. . International Journal of Remote Sensing , 27 : 2255 – 2269 .
   Web of Science ®Google Scholar
• Muslim , A. M. , Foody , G. M. and Atkinson , P. M. 2006 . Localised soft classification for super‐resolution mapping of the shoreline. . International Journal of Remote Sensing , 27 : 2271 – 2285 .
   Web of Science ®Google Scholar
• Naceur , M. S. , Loghmari , M. A. and Boussema , M. R. 2004 . The contribution of the sources separation method in the decomposition of mixed pixels. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 2642 – 2653 .
   Web of Science ®Google Scholar
• Nelson , R. and Holben , B. 1986 . Identifying deforestation in Brazil using multiresolution satellite data. . International Journal of Remote Sensing , 7 : 429 – 448 .
   Web of Science ®Google Scholar
• Nelson , T. , Wilson , H. G. , Boots , B. and Wulder , M. A. 2005 . Use of ordinal conversion for radiometric normalization and change detection. . International Journal of Remote Sensing , 26 : 535 – 541 .
   Web of Science ®Google Scholar
• Nezlin , N. P. and Stein , E. D. 2005 . Spatial and temporal patterns of remotely‐sensed and field‐measured rainfall in southern California. . Remote Sensing of Environment , 96 : 228 – 245 .
   Web of Science ®Google Scholar
• Nichol , J. 2005 . Remote sensing of urban heat islands by day and night. . Photogrammetric Engineering and Remote Sensing , 71 : 613 – 621 .
   Web of Science ®Google Scholar
• Nichol , J. and Wong , M. S. 2005 . Satellite remote sensing for detailed landslide inventories using change detection and image fusion. . International Journal of Remote Sensing , 26 : 1913 – 1926 .
   Web of Science ®Google Scholar
• Oleson , K. W. , Sarlin , S. , Garrison , J. , Smith , S. , Privette , J. L. and Emery , W. J. 1995 . Unmixing multiple land‐cover type reflectances from coarse spatial resolution satellite data. . Remote Sensing of Environment , 54 : 98 – 112 .
   Web of Science ®Google Scholar
• Palacios‐Orueta , A. , Parra , A. , Chuvieco , E. and Carmona‐Moreno , C. 2004 . Remote sensing and geographic information systems methods for global spatiotemporal modeling of biomass burning emissions: assessment in the African continent. . Journal of Geophysical Research–Atmospheres , 109 : D14S09
   Web of Science ®Google Scholar
• Palandro , D. , Andrefouet , S. , Dustan , P. and Muller‐Karger , F. E. 2003 . Change detection in coral reef communities using Ikonos satellite sensor imagery and historic aerial photographs. . International Journal of Remote Sensing , 24 : 873 – 878 .
   Web of Science ®Google Scholar
• Pattiaratchi , C. , Lavery , P. , Wyllie , A. and Hick , P. 1994 . Estimates of water‐quality in coastal waters using multi‐date Landsat Thematic Mapper data. . International Journal of Remote Sensing , 15 : 1571 – 1584 .
   Web of Science ®Google Scholar
• Paul , F. 2002 . Changes in glacier area in Tyrol, Austria, between 1969 and 1992 derived from Landsat 5 thematic mapper and Austrian Glacier Inventory data. . International Journal of Remote Sensing , 23 : 787 – 799 .
   Web of Science ®Google Scholar
• Pavelsky , T. M. and Smith , L. C. 2004 . Spatial and temporal patterns in Arctic river ice breakup observed with MODIS and AVHRR time series. . Remote Sensing of Environment , 93 : 328 – 338 .
   Web of Science ®Google Scholar
• Pax‐Lenney , M. and Woodcock , C. E. 1997 . The effect of spatial resolution on the ability to monitor the status of agricultural lands. . Remote Sensing of Environment , 61 : 210 – 220 .
   Web of Science ®Google Scholar
• Pellizzeri , T. M. , Gamba , P. , Lombardo , P. and Dell'Acqua , F. 2003 . Multitemporal/multiband SAR classification of urban areas using spatial analysis: statistical versus neural kernel‐based approach. . IEEE Transactions on Geoscience and Remote Sensing , 41 : 2338 – 2353 .
   Web of Science ®Google Scholar
• Philipson , P. and Lindell , T. 2003 . Can coral reefs be monitored from space? . Ambio , 32 : 586 – 593 .
   PubMed Web of Science ®Google Scholar
• Pinter , P. J. , Hatfield , J. L. , Schepers , J. S. , Barnes , E. M. , Moran , M. S. , Daughtry , C. S. T. and Upchurch , D. R. 2003 . Remote sensing for crop management. . Photogrammetric Engineering and Remote Sensing , 69 : 647 – 664 .
   Web of Science ®Google Scholar
• Prenzel , B. and Treitz , P. 2005 . Comparison of function‐ and structure‐based schemes for classification of remotely sensed data. . International Journal of Remote Sensing , 26 : 543 – 561 .
   Web of Science ®Google Scholar
• Priestnall , G. and Aplin , P. 2006 . Cover. Spatial and temporal remote sensing requirements for river monitoring. . International Journal of Remote Sensing , 27 : 2111 – 2120 .
   Web of Science ®Google Scholar
• Pulliainen , J. , Vepsalainen , J. , Kaitala , S. , Hallikainen , M. , Kallio , K. , Fleming , V. and Maunula , P. 2004 . Regional water quality mapping through the assimilation of spaceborne remote sensing data to ship‐based transect observations. . Journal of Geophysical Research‐Oceans , 109 : C12009
   Web of Science ®Google Scholar
• Raffy , M. 1992 . Change of scale in models of remote‐sensing – a general method for spatialisation of models. . Remote Sensing of Environment , 40 : 101 – 112 .
   Web of Science ®Google Scholar
• Raffy , M. and Blamont , D. 2003 . Radiometric nomenclatures and spatial resolutions. . International Journal of Remote Sensing , 24 : 2289 – 2307 .
   Web of Science ®Google Scholar
• Rahman , A. F. , Gamon , J. A. , Sims , D. A. and Schmidts , M. 2003 . Optimum pixel size for hyperspectral studies of ecosystem function in southern California chaparral and grassland. . Remote Sensing of Environment , 84 : 192 – 207 .
   Web of Science ®Google Scholar
• Richter , R. and Schlapfer , D. 2002 . Geo‐atmospheric processing of airborne imaging spectrometry data. Part 2: atmospheric/topographic correction. . International Journal of Remote Sensing , 23 : 2631 – 2649 .
   Web of Science ®Google Scholar
• Saitoh , S. , Iida , T. and Sasaoka , K. 2002 . A description of temporal and spatial variability in the Bering Sea spring phytoplankton blooms (1997–1999) using satellite multi‐sensor remote sensing. . Progress in Oceanography , 55 : 131 – 146 .
   Web of Science ®Google Scholar
• Sawaya , K. E. , Olmanson , L. G. , Heinert , N. J. , Brezonik , P. L. and Bauer , M. E. 2003 . Extending satellite remote sensing to local scales: land and water resource monitoring using high‐resolution imagery. . Remote Sensing of Environment , 88 : 144 – 156 .
   Web of Science ®Google Scholar
• Serra , P. , Pons , X. and Sauri , D. 2003 . Post‐classification change detection with data from different sensors: some accuracy considerations. . International Journal of Remote Sensing , 24 : 4975 – 4976 .
   Web of Science ®Google Scholar
• Sgrenzaroli , M. , Baraldi , A. , Eva , H. , De Grandi , G. and Achard , F. 2002 . Contextual clustering for image labeling: an application to degraded forest assessment in landsat TM images of the Brazilian Amazon. . IEEE Transactions on Geoscience and Remote Sensing , 40 : 1833 – 1848 .
   Web of Science ®Google Scholar
• Shalan , M. A. , Arora , M. K. and Ghosh , S. K. 2004 . An evaluation of fuzzy classifications from IRS 1C LISS III imagery: a case study. . International Journal of Remote Sensing , 24 : 3179 – 3186 .
   Web of Science ®Google Scholar
• Shimabukuro , Y. E. , Duarte , V. , Mello , E. M. K. and Moreira , J. C. 1999 . RGB shade fraction images derived from multitemporal Landsat TM data for studying deforestation in the Brazilian Amazon. . International Journal of Remote Sensing , 20 : 643 – 646 .
   Web of Science ®Google Scholar
• Silverio , W. and Jaquet , J. M. 2005 . Glacial cover mapping (1987–1996) of the Cordillera Blanca (Peru) using satellite imagery. . Remote Sensing of Environment , 95 : 342 – 350 .
   Web of Science ®Google Scholar
• Singh , A. 1989 . Digital change detection techniques using remotely‐sensed data. . International Journal of Remote Sensing , 10 : 989 – 1003 .
   Web of Science ®Google Scholar
• Siqueira , P. , Chapman , B. and McGarragh , G. 2004 . The coregistration, calibration, and interpretation of multiseason JERS‐1 SAR data over South America. . Remote Sensing of Environment , 90 : 536 – 550 .
   Web of Science ®Google Scholar
• Song , C. H. and Woodcock , C. E. 2002 . The spatial manifestation of forest succession in optical imagery – The potential of multiresolution imagery. . Remote Sensing of Environment , 82 : 271 – 284 .
   Web of Science ®Google Scholar
• Song , C. , Woodcock , C. E. , Seto , K. C. , Lenney , M. P. and Macomber , S. A. 2001 . Classification and change detection using Landsat TM data: when and how to correct atmospheric effects? . Remote Sensing of Environment , 75 : 230 – 244 .
   Web of Science ®Google Scholar
• Steinwendner , J. , Schneider , W. and Suppan , F. 1998 . Vector segmentation using spatial subpixel analysis for object extraction. . International Archives of Photogrammetry and Remote Sensing , 32 : 265 – 271 .
   Google Scholar
• Steven , M. D. 1993 . Satellite remote sensing for agricultural management: opportunities and logistical constraints. . ISPRS Journal of Photogrammetry and Remote Sensing , 48 : 29 – 34 .
   Web of Science ®Google Scholar
• Steven , M. D. , Malthus , T. J. , Baret , F. , Xu , H. and Chopping , M. J. 2003 . Intercalibration of vegetation indices from different sensor systems. . Remote Sensing of Environment , 88 : 412 – 422 .
   Web of Science ®Google Scholar
• Strahler , A. H. , Woodcock , C. E. and Smith , J. A. 1986 . On the nature of models in remote sensing. . Remote Sensing of Environment , 20 : 121 – 139 .
   Web of Science ®Google Scholar
• Tanaka , S. and Sugimura , T. 2001 . Cover. A new frontier of remote sensing from IKONOS images. . International Journal of Remote Sensing , 22 : 1 – 6 .
   Web of Science ®Google Scholar
• Tatem , A. J. , Lewis , H. G. , Atkinson , P. M. and Nixon , M. S. 2002 . Super‐resolution land cover pattern prediction using a Hopfield neural network. . Remote Sensing of Environment , 79 : 1 – 14 .
   Web of Science ®Google Scholar
• Toutin , T. 2004 . Comparison of stereo‐extracted DTM from different high‐resolution sensors: SPOT‐5, EROS‐A, IKONOS‐II, and QuickBird. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 2121 – 2129 .
   Web of Science ®Google Scholar
• Townshend , J. R. G. 1981 . The spatial resolving power of earth resources satellites. . Progress in Physical Geography , 5 : 32 – 55 .
   Google Scholar
• Townshend , J. R. G. and Justice , C. O. 1988 . Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations. . International Journal of Remote Sensing , 9 : 187 – 236 .
   Web of Science ®Google Scholar
• Townshend , J. R. G. , Justice , C. O. , Li , W. , Gurney , C. and McManus , J. 1992 . The impact of misregistration on change detection. . IEEE Transactions on Geoscience and Remote Sensing , 30 : 1054 – 1060 .
   Web of Science ®Google Scholar
• Treitz , P. 2001 . Variogram analysis of high spatial resolution remote sensing data: an examination of boreal forest ecosystems. . International Journal of Remote Sensing , 22 : 3895 – 3900 .
   Web of Science ®Google Scholar
• Tucker , C. J. , Grant , D. M. and Dykstra , J. D. 2004 . NASA's global orthorectified landsat data set. . Photogrammetric Engineering and Remote Sensing , 70 : 313 – 322 .
   Web of Science ®Google Scholar
• Turner , M. G. , Dale , V. H. and Gardner , R. H. 1989 . Predicting across scales: theory development and testing. . Landscape Ecology , 3 : 245 – 252 .
   Web of Science ®Google Scholar
• Verhoeye , J. and De Wulf , R. 2002 . Land cover mapping at sub‐pixel scales using linear optimization techniques. . Remote Sensing of Environment , 79 : 96 – 104 .
   Web of Science ®Google Scholar
• Vermote , E. F. , El Saleous , N. Z. and Justice , C. O. 2002 . Atmospheric correction of MODIS data in the visible to middle infrared: first results. . Remote Sensing of Environment , 83 : 97 – 111 .
   Web of Science ®Google Scholar
• Walsh , S. J. , Evans , T. P. , Welsh , W. F. , Entwisle , B. and Rindfuss , R. 1999 . Scale‐dependent relationships between population and environment in northeastern Thailand. . Photogrammetric Engineering and Remote Sensing , 65 : 97 – 105 .
   Web of Science ®Google Scholar
• Wang , F. 1990 . Fuzzy supervised classification of remote sensing images. . IEEE Transactions on Geoscience and Remote Sensing , 28 : 194 – 201 .
   Web of Science ®Google Scholar
• Wang , G. , Gertner , G. and Anderson , A. B. 2004 . Up‐scaling methods based on variability‐weighting and simulation for inferring spatial information across scales. . International Journal of Remote Sensing , 25 : 4961 – 4979 .
   Web of Science ®Google Scholar
• Warner , T. 2005 . Hyperspherical direction cosine change vector analysis. . International Journal of Remote Sensing , 26 : 1201 – 1215 .
   Web of Science ®Google Scholar
• Welch , R. 1982 . Spatial resolution requirements for urban studies. . International Journal of Remote Sensing , 2 : 139 – 146 .
   Google Scholar
• Woodcock , C. E. , Macomber , S. A. , Pax‐Lenney , M. and Cohen , W. B. 2001 . Monitoring large areas for forest change using Landsat: generalization across space, time and Landsat sensors. . Remote Sensing of Environment , 78 : 194 – 203 .
   Web of Science ®Google Scholar
• Woodcock , C. E. and Strahler , A. H. 1987 . The factor of scale in remote sensing. . Remote Sensing of Environment , 21 : 311 – 332 .
   Web of Science ®Google Scholar
• Wulder , M. A. , Hall , R. J. , Coops , N. C. and Franklin , S. E. 2004 . High spatial resolution remotely sensed data for ecosystem characterization. . Bioscience , 54 : 511 – 521 .
   Web of Science ®Google Scholar
• Xiao , X. M. , Boles , S. , Liu , J. Y. , Zhuang , D. F. , Frolking , S. , Li , C. S. , Salas , W. and Moore , B. 2005 . Mapping paddy rice agriculture in southern China using multi‐temporal MODIS images. . Remote Sensing of Environment , 95 : 480 – 492 .
   Web of Science ®Google Scholar
• Yang , L. M. , Xian , G. , Klaver , J. M. and Deal , B. 2003 . Urban land‐cover change detection through sub‐pixel imperviousness mapping using remotely sensed data. . Photogrammetric Engineering and Remote Sensing , 69 : 1003 – 1010 .
   Web of Science ®Google Scholar
• Zarco‐Tejada , P. J. , Ustin , S. L. and Whiting , M. L. 2005 . Temporal and spatial relationships between within‐field yield variability in cotton and high‐spatial hyperspectral remote sensing imagery. . Agronomy Journal , 97 : 641 – 653 .
   Web of Science ®Google Scholar
• Zhang , Q. , Wang , J. , Peng , X. , Gong , P. and Shi , P. 2002 . Urban built‐up land change detection with road density and spectral information from multi‐temporal Landsat TM data. . International Journal of Remote Sensing , 23 : 3057 – 3078 .
   Web of Science ®Google Scholar