Vegetation and land-cover changes are not always directional but follow complex trajectories over space and time, driven by changing anthropogenic and abiotic conditions. We present a multi-observational approach to land-change analysis that addresses the complex geographic and temporal variability of vegetation changes related to climate and land use. Using land-ownership data as a proxy for l...

A new method for the satellite remote sensing of different types of vegetation and ocean colour is presented. In contrast to existing algorithms relying on the strong change of the reflectivity in the red and near infrared spectral region, our method analyses weak narrow-band (few nm) reflectance structures (i.e. “fingerprint” structures) of vegetation in the red spectral range. It is based on ...

GOALS OF THIS STUDY WERE TO: (1) develop distributional maps of modern rodent genera throughout the countries of South Africa, Lesotho, and Swaziland by georeferencing museum specimens; (2) assess habitat preferences for genera by cross-referencing locality position with South African vegetation; and (3) identify mean annual precipitation and temperature range where the genera are located. Cont...

Remote sensing-based approaches to lithological mapping are traditionally pixel-oriented, with classification performed on either a per-pixel or sub-pixel basis with complete disregard for contextual information about neighbouring pixels. However, intra-class variability due to heterogeneous surface cover (i.e., vegetation and soil) or regional variations in mineralogy and chemical composition ...

The vegetation outlook (VegOut) is a geospatial tool for predicting general vegetation condition patterns across large areas. VegOut predicts a standardized seasonal greenness (SSG) measure, which represents a general indicator of relative vegetation health. VegOut predicts SSG values at multiple time steps (two to six weeks into the future) based on the analysis of “historical patterns” (i.e.,...

to determine the potential habitat of two rangeland species of salsola rigidaand agropyron trichophorum in qasr-e-shirin, iran, geographic information systems(gis) and remote sensing (rs) techniques were used. at first, several maps (vegetationcover and land uses maps and thematic maps of various organizations) were collected orprepared. for digitizing geology, vegetation and conventional state...

this study aimed to determine the prone areas for sugar beet planting with regards to their major effective factors. climatic data of 1998-2009 period were obtained from the local stations of khorasan razavi meteorological bureau. the topographic data including altitude, slope, slope direction, and tin layers were extracted from 1:250000 topographic maps of cartographic organization, iran. the ...

Since the completion of the first edition of this book much time and effort has been spent developing more accurate and efficient means of mapping vegetation. At the same time a similar amount of energy has been expended on vegetation classification. Vegetation classification was not directly discussed in the first edition (Colwell 1977). However, in current thinking, the two subjects are intim...