Remote Sensing Of Impervious Surfaces at Meripustak

Remote Sensing Of Impervious Surfaces

Books from same Author: Qihao Weng

Books from same Publisher: Taylor & Francis

Related Category: Author List / Publisher List


  • Retail Price: ₹ 20196/- [ 11.00% off ]

    Seller Price: ₹ 17974

Sold By: MeriPustak      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 11.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 11.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)Qihao Weng
    PublisherTaylor & Francis
    ISBN9781420043747
    Pages488
    BindingHardbound
    LanguageEnglish
    Publish YearNovember 2007

    Description

    Taylor & Francis Remote Sensing Of Impervious Surfaces by Qihao Weng

    Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping, data extraction, and modeling techniques specific to analyzing impervious surfaces, such as roads and buildings. Written by renowned experts in the field, this book reviews the major approaches that apply to this emerging field as well as current challenges, developments, and trends. The authors introduce remote sensing digital image processing techniques for estimating and mapping impervious surfaces in urban and rural areas. Presenting the latest modeling tools and algorithms for data extraction and analysis, the book explains how to differentiate roads, roofs, and other manmade structures from remotely sensed images for individual analysis. The final chapters examine how to use impervious surface data for predicting the flow of storm- or floodwater and studying trends in population, land use, resource distribution, and other real-world applications in environmental, urban, and