£169.72

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

Botany & Plant Sciences

Price data last checked 182 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

About as cheap as it gets. The only time it was cheaper was 1 year ago.

£170 today · all-time low £166 (Jan 2025) · usually the usual

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 343 days • 343 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 343 days • 8 price levels

Days at Price

Current Price

Price Analysis

Most common price: £171 (121 days, 35.3%)

Price range: £166 - £185

Price levels: 8 different prices over 343 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. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. 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.

Product Specifications

Format: paperback
ASIN: 1032475897
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Botany & Plant Sciences
Domain: Amazon UK
Release Date: 28 March 2023
Listed Since: 01 December 2022

Barcode

No barcode data available

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

About as cheap as it gets. The only time it was cheaper was 1 year ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

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

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

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

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

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

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

Hyperspectral Remote Sensing of Agriculture and Vegetation

Hyperspectral Remote Sensing: Theory and Applications (Earth Observation)

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

Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms

Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests

Hyperspectral Remote Sensing and Spectral Signature Applications

Spectral-Spatial Classification of Hyperspectral Remote Sensing Images

Remote Sensing and Digital Image Processing with R

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

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

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

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

Computational Intelligence based Hyperspectral Image Processing: Volume 1: 268 (Intelligent Systems Reference Library, 268)

Multispectral Image Sensors Using Metasurfaces: 17 (Progress in Optical Science and Photonics, 17)

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

Remote Sensing of Vegetation: Principles, Techniques, and Applications