02181nas a2200133   4500008004100000245012800041210006900169300001100238490000700249520163100256100001601887700001601903856012801919       1999                        eng d00aMultiscale assessment of binary and continuous landcover variables for MODIS validation, mapping, and modeling applications0 aMultiscale assessment of binary and continuous landcover variabl  a82 -980 v703 aValidation, mapping, and modeling efforts require accurate methods to transform process rates and ecosystem attributes estimated from small field plots to the 250–1000-m-wide cells used by a new generation of land cover mapping sensors. We provide alternative scale transformations, each with attendant assumptions and limitations. The choice of method depends on spatial characteristics of the land cover variables in question and consequently may vary between biomes or with the intended application. We extend the fractal similarity dimension renormalization method, previously developed for binary maps, to continuous variables. The method can preserve both the mean and the multifractal properties of the image, thereby satisfying a major goal, namely, to provide accurate areal estimates without sacrificing information about within-site variation. The scale transformation enables the multifractal scaling exponents of landscapes or individual spectral bands to be brought in and out of register with each other, thereby opening another dimension upon which to detect the scales at which various land use or terrain processes operate. Alternatively, landscapes can be selectively rescaled to highlight patterns due to particular processes. We recommend geostatistical procedures with which to assess spatial characteristics both within a site and within individual image cells. We recommend that aggregation of fine-grain measurements during validation of the Moderate Resolution Imaging Spectrometer (MODIS) products be based on continuous variables to reduce errors that originate from uncertainties in binary maps.1 aMilne, B.T.1 aCohen, W.B.  uhttp://knz.lternet.edu/content/multiscale-assessment-binary-and-continuous-landcover-variables-modis-validation-mapping-and00500nas a2200145   4500008004100000245005400041210005400095260004300149300001300192100001600205700001900221700001600240700001900256856007900275       1992                        eng d00aIndications of landscape condition at many scales0 aIndications of landscape condition at many scales  aNew York, NYbElsevier Applied Science  a893 -8951 aMilne, B.T.1 aMcKenzie, D.H.1 aHyatt, D.E.1 aMcDonald, V.J.  uhttp://knz.lternet.edu/content/indications-landscape-condition-many-scales