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Progress in Geospatial Analysis pp 13–28Cite as

Multispectral Classification of Remote Sensing Data for Geospatial Analysis

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Abstract

Remote sensing data are one of the primary data sources for many geospatial analyses. The nature of remote sensing data acquisition ranges from ground-based to airborne to space-borne. There are two types of remote sensing: active and passive. Passive remote sensing sensors detect the natural radiation that is emitted from, or reflected by, the object or surrounding area being observed. Reflected sunlight is the most common source of radiation measured by passive sensors. Some examples of passive remote sensing satellites are Landsat MSS/TM/ETM+, SPOT, IKONOS, QuickBird, etc. Active remote sensing emits energy in order to scan objects, and then detects and measures the radiation that is reflected or back-scattered from the target. Radio detection and ranging (RADAR), light detection and ranging (LiDAR) and sound navigation and ranging (SONAR) are examples of active remote sensing where the time delay between emission and return is measured, thus establishing the location, height, speed and direction of an object.

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Author information

Authors and Affiliations

  1. Faculty of Land Administration, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam

    Duong Dang Khoi

  2. Division of Spatial Information Science, Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan

    Duong Dang Khoi & Kondwani Godwin Munthali

Authors
  1. Duong Dang Khoi
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  2. Kondwani Godwin Munthali
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Correspondence to Duong Dang Khoi .

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Editors and Affiliations

  1. Graduate School of Life and Environmenta, Division of Spatial Information Science, University of Tsukuba, Tennodai 1-1-1, Tsukuba, 305-8572, Ibaraki, Japan

    Yuji Murayama

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Khoi, D.D., Munthali, K.G. (2012). Multispectral Classification of Remote Sensing Data for Geospatial Analysis. In: Murayama, Y. (eds) Progress in Geospatial Analysis. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54000-7_2

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