Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation: Hyperspectral Remote Sensing of Vegetation (Hyperspectral Remote Sensing of Vegetation, Second Edition) - Image 1

£126.00

CRC Press Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation: Hyperspectral Remote Sensing of Vegetation (Hyperspectral Remote Sensing of Vegetation, Second Edition)

Name: Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation: Hyperspectral Remote Sensing of Vegetation (Hyperspectral Remote Sensing of Vegetation, Second Edition)
Brand: CRC Press
Price: 126.0 GBP
Availability: InStock

Cartography, Geodesy & Geographic Information Systems

It has never been this cheap. We have no record of a lower price.

£126 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 31 days · 31 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 31 days • 1 price levels

Days at Price

Price Analysis

Most common price: £126 (31 days, 100.0%)

Price range: £126 - £126

Price levels: 1 different prices over 31 days

Description

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 I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. This book also presents and discusses hyperspectral narrowband data acquired in numerous unique spectral bands in the entire length of the spectrum from various ground-based, airborne, and spaceborne platforms. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume I through the editors’ perspective. Key Features of Volume I: Provides the fundamentals of hyperspectral remote sensing used in agricultural crops and vegetation studies. Discusses the latest advances in hyperspectral remote sensing of ecosystems and croplands. Develops online hyperspectral libraries, proximal sensing and phenotyping for understanding, modeling, mapping, and monitoring crop and vegetation traits. Implements reflectance spectroscopy of soils and vegetation. Enumerates hyperspectral data mining and data processing methods, approaches, and machine learning algorithms. Explores methods and approaches for data mining and overcoming data redundancy; Highlights the advanced methods for hyperspectral data processing steps by developing or implementing appropriate algorithms and coding the same for processing on a cloud computing platform like the Google Earth Engine. Integrates hyperspectral with other data, such as the LiDAR data, in the study of vegetation. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138058548
Category: Books > Subjects > Science, Nature & Maths > Earth Sciences > Geography > Cartography, Geodesy & Geographic Information Systems
Domain: Amazon UK
Release Date: 11 December 2018
Listed Since: 20 June 2018

Barcode

No barcode data available

CRC Press Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation: Hyperspectral Remote Sensing of Vegetation (Hyperspectral Remote Sensing of Vegetation, Second Edition)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation: Hyperspectral Remote Sensing of Vegetation (Hyperspectral Remote Sensing of Vegetation, Second Edition)

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation: Hyperspectral Remote Sensing of Vegetation Second Edition Volume IV

Hyperspectral Remote Sensing of Vegetation, Second Edition, Four Volume Set

Biophysical and Biochemical Characterization and Plant Species Studies (Hyperspectral Remote Sensing of Vegetation, Second Edition)

Hyperspectral Remote Sensing of Vegetation, Second Edition, Four Volume Set

Remote Sensing and Digital Image Processing with R

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation: Hyperspectral Remote Sensing of Vegetation (Hyperspectral Remote Sensing of Vegetation, Second Edition)

Remote Sensing of Vegetation: Principles, Techniques, and Applications

Hyperspectral Remote Sensing: Principles and Applications (Remote Sensing Applications Series)

Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests

Hyperspectral Remote Sensing: Principles and Applications (Remote Sensing Applications Series)

Computational Intelligence for Remote Sensing: 133 (Studies in Computational Intelligence, 133)

Remote Sensing and Digital Image Processing with R - Textbook and Lab Manual

Real-Time Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation

Remote Sensing Application: Regional Perspectives in Agriculture and Forestry: 59 (New Frontiers in Regional Science: Asian Perspectives, 59)

Hemispherical Photography in Forest Science: Theory, Methods, Applications: 28 (Managing Forest Ecosystems, 28)

Remote Sensing Satellite Images for Vegetation Mapping: Multi-resolution Imagery and Object-oriented Techniques for Vegetation Mapping of Urban Areas

Remote Sensing Handbook, Volume II: Image Processing, Change Detection, GIS, and Spatial Data Analysis: 2

Elsevier Remote Sensing for Vegetation Monitoring Book

Multitemporal Remote Sensing: Methods and Applications: 20 (Remote Sensing and Digital Image Processing, 20)

Real-Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection

Real-Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection

Hyperspectral Remote Sensing of Agriculture and Vegetation

Remote Sensing Image Fusion (Signal and Image Processing of Earth Observations)