Curt H. Davis

TL;DR: In this article, the authors estimate that East Antarctica is close to a balanced mass budget, but large losses of ice occur in the narrow outlet channels of West Antarctic glaciers and at the northern tip of the Antarctic peninsula.

TL;DR: An object-based approach for urban land cover classification from high-resolution multispectral image data that builds upon a pixel-based fuzzy classification approach is presented and is able to identify buildings, impervious surface, and roads in dense urban areas with 76, 81, and 99% classification accuracies.

TL;DR: Satellite radar altimetry measurements indicate that the East Antarctic ice-sheet interior north of 81.6°S increased in mass by 45 ± 7 billion metric tons per year from 1992 to 2003, enough to slow sea-level rise by 0.12 ± 0.02 millimeters per year.

TL;DR: This paper investigates the usefulness of high-resolution multispectral satellite imagery for classification of urban and suburban areas and presents a fuzzy logic methodology to improve classification accuracy and shows a hierarchical fuzzy classification approach that makes use of both spectral and spatial information.

TL;DR: This work demonstrates an integrated strategy for identifying buildings in 1-meter resolution satellite imagery of urban areas using a differential morphological profile (DMP) that provides image structural information and shadow information.