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Remote Sensing

Spatial and Temporal Modeling and Analysis

  1. Guofan Shao

Published Online: 15 JAN 2013

DOI: 10.1002/9780470057339.var033.pub2

Encyclopedia of Environmetrics

Encyclopedia of Environmetrics

How to Cite

Shao, G. 2013. Remote Sensing . Encyclopedia of Environmetrics. 5.

Author Information

  1. Purdue University, Department of Forestry and Natural Resources, West Lafayette, IN, USA

Publication History

  1. Published Online: 15 JAN 2013

Abstract

Remote sensing is both a science and an art. Remote sensing has been involved from airborne to spaceborne applications since the 1960s. A variety of sensors are used to record both the visible and the invisible, such as infrared (IR), parts of the spectrum in the field of remote sensing. Depending on the number of spectral bands used, remote sensing includes panchromatic (one band), multispectral (several bands), and hyperspectral (dozens to hundreds of bands) remote sensing; depending on the source of energy/radiation, remote sensing can be passive or active. The ultimate goal of remote sensing is to extract information from remotely sensed data about the material properties of the earth's surface and of the atmosphere, together with their geographical relationships. Numerous approaches are available to extract information from remotely sensed data/imagery. Thematic maps derived with remote sensing methods contain errors, which can be assessed with reference data. It is important to use thematic maps with relatively high classification accuracy to avoid wrong conclusions or decision making based on the maps.

Keywords:

  • remote sensing;
  • spectral band;
  • information extraction;
  • thematic map;
  • accuracy