Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation
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Published By CRC Press

9781315164151

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Spaceborne Hyperspectral EO-1 Hyperion Data Pre-Processing

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-9 ◽

2018 ◽

pp. 251-272

Author(s):

Itiya P. Aneece ◽

Prasad S. Thenkabail ◽

John G. Lyon ◽

Alfredo Huete ◽

Terrance Slonecker

Keyword(s):

Hyperion Data

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Hyperspectral Remote Sensing in Global Change Studies

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-3 ◽

2018 ◽

pp. 3-26

Author(s):

Jiaguo Qi ◽

Yoshio Inoue ◽

Narumon Wiangwang

Keyword(s):

Remote Sensing ◽

Global Change ◽

Hyperspectral Remote Sensing

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Hyperspectral Sensor Characteristics

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-2 ◽

2018 ◽

pp. 41-69

Author(s):

Fred Ortenberg

Keyword(s):

Hyperspectral Sensor

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Methods for Linking Drone and Field Hyperspectral Data to Satellite Data

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-12 ◽

2018 ◽

pp. 321-354

Author(s):

Muhammad Al-Amin Hoque ◽

Stuart Phinn

Keyword(s):

Satellite Data ◽

Hyperspectral Data

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Hyperspectral Image Data Mining

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-10 ◽

2018 ◽

pp. 273-302

Author(s):

Sreekala G. Bajwa ◽

Yu Zhang ◽

Alimohammad Shirzadifar

Keyword(s):

Data Mining ◽

Hyperspectral Image ◽

Image Data ◽

Hyperspectral Image Data

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Characterization of Soil Properties Using Reflectance Spectroscopy

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-8 ◽

2018 ◽

pp. 187-247 ◽

Cited By ~ 2

Author(s):

E. Ben-Dor ◽

S. Chabrillat ◽

José A. M. Demattê

Keyword(s):

Soil Properties ◽

Reflectance Spectroscopy

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Monitoring Vegetation Diversity and Health through Spectral Traits and Trait Variations Based on Hyperspectral Remote Sensing

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-4 ◽

2018 ◽

pp. 95-126

Author(s):

Angela Lausch ◽

Pedro J. Leitão

Keyword(s):

Remote Sensing ◽

Hyperspectral Remote Sensing ◽

Vegetation Diversity

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Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Crops

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-1 ◽

2018 ◽

pp. 3-37

Author(s):

Prasad S. Thenkabail ◽

John G. Lyon ◽

Alfredo Huete

Keyword(s):

Remote Sensing ◽

Hyperspectral Remote Sensing ◽

Agricultural Crops

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The Use of Spectral Databases for Remote Sensing of Agricultural Crops

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-7 ◽

2018 ◽

pp. 165-185 ◽

Cited By ~ 1

Author(s):

Andreas Hueni ◽

Lola Suarez ◽

Laurie A. Chisholm ◽

Alex Held

Keyword(s):

Remote Sensing ◽

Agricultural Crops ◽

Spectral Databases

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The Use of Hyperspectral Proximal Sensing for Phenotyping of Plant Breeding Trials

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation ◽

10.1201/9781315164151-5 ◽

2018 ◽

pp. 127-147

Author(s):

Andries B. Potgieter ◽

James Watson ◽

Barbara George-Jaeggli ◽

Gregory McLean ◽

Mark Eldridge ◽

...

Keyword(s):

Plant Breeding ◽

Proximal Sensing

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Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for VegetationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By CRC Press

Spaceborne Hyperspectral EO-1 Hyperion Data Pre-Processing

Hyperspectral Remote Sensing in Global Change Studies

Hyperspectral Sensor Characteristics

Methods for Linking Drone and Field Hyperspectral Data to Satellite Data

Hyperspectral Image Data Mining

Characterization of Soil Properties Using Reflectance Spectroscopy

Monitoring Vegetation Diversity and Health through Spectral Traits and Trait Variations Based on Hyperspectral Remote Sensing

Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Crops

The Use of Spectral Databases for Remote Sensing of Agricultural Crops

The Use of Hyperspectral Proximal Sensing for Phenotyping of Plant Breeding Trials

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation
Latest Publications