Advanced Applications In Remote Sensing Of Agricultural Crops And Natural Vegetation at Meripustak

Advanced Applications In Remote Sensing Of Agricultural Crops And Natural Vegetation

Books from same Author: Thenkabail Prasad S

Books from same Publisher: T&F/Crc Press

Related Category: Author List / Publisher List


  • Retail Price: ₹ 5134/- [ 9.00% off ]

    Seller Price: ₹ 4672

Sold By: T K Pandey      Click for Bulk Order

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

Offer 2: Get 9.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 9.00 % + 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)Thenkabail Prasad S
    PublisherT&F/Crc Press
    Edition2nd Edition
    ISBN9781032475875
    Pages426
    BindingSoftcover
    LanguageEnglish
    Publish YearMarch 2023

    Description

    T&F/Crc Press Advanced Applications In Remote Sensing Of Agricultural Crops And Natural Vegetation by Thenkabail Prasad S

    Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective.