Based on MODIS NDVI and NOAA NDVI datum, covering the primary grassland types of Inner Mongolian in growing seasons from 2000 to 2003, this paper analyzes annual variation rule of the relationship between MODIS NDVI and NOAA NDVI datum. We use the theory of statistics to discuss the spatial scaling methods between different resolutions images of remote sensing in large-scale spatial extent. At ...

As a first step in the classification of all thick Moufang polygons, it is shown that every root ray datum of type Ã2, B̃2 or G̃2 has a filtration by an ordinary root datum.

We give a short overview on methods of Model (In-)Validation, that fit to the robust control framework. The idea is that the mismatch between a measured datum and an expected datum is explained by a disturbance signal w and an error model ∆, representing unmodelled dynamics. The key question is if there exists a pair (w,∆), sufficiently small, that can produce the measured datum. In particular,...

Sparse Distributed Memory (or Kanerva Networks) is a technique first introduced as a model of memory in neuroscience, [2] (see also §13 of [1] for a quick summary). In a large Boolean space F2 one chooses a uniform random sample of hard locations. The number 2k of hard locations is small compared to the size 2N of the ambient space. At each of these hard locations a datum (a Boolean string of l...

one of the most important problems in geodesy is the unification of height datum. generally in geodesy; there are two types of height systems, the geometrical height based on ellipsoid and the physical height based on gravity-defined surface (zhang et al, 2009).local height datum is determined according to mean sea level (msl). in regarding to mismatch of mean sea level and geoid, on the one ha...