Hyperspectral Imaging for Earth Observation: Platforms and Instruments

Lodhi, Vaibhav; Chakravarty, Debashish; Mitra, Pabitra

doi:10.1007/s41745-018-0070-8

Cited by 23 publications

(13 citation statements)

References 82 publications

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“…Unmanned aerial vehicles (UAVs) are aboveground vehicles that do not require an onboard pilot for their control (Lodhi, Chakravarty, & Mitra, 2018). They are a well‐suited option for small‐scale and research applications due to their ability to collect high‐resolution data that is available almost instantly.…”

Section: Hyperspectral Datamentioning

confidence: 99%

Approaches, applications, and future directions for hyperspectral vegetation studies: An emphasis on yield‐limiting factors in wheat

Bruning

Berger

Lewis

et al. 2020

The Plant Phenome Journal

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Hyperspectral instruments acquire spectral information in many narrow, contiguous bands throughout the visible, near-infrared and shortwave regions of the electromagnetic spectrum. Hyperspectral techniques are becoming very powerful tools for characterizing plants and nondestructively quantifying their chemical and physical properties because of their ability to provide layered trait information within the same spectral region. However, to effectively make use of hyperspectral sensing, an understanding of the theory behind these techniques, the power, and the limitations of the resulting data is required. This article presents an overview of hyperspectral sensing in regard to principles, instrumentation, processing methods, and current applications, specifically focusing on the quantification of yield-limiting factors in wheat (Triticum aestivum L.). The spectral properties of plants across the electromagnetic spectrum are first described to achieve a better understanding of plant-light interactions. Basic information about different imaging approaches is provided as are the necessary considerations for the analysis of hyperspectral data. Some of the major technical challenges associated with hyperspectral imaging as well as future directions are discussed. Finally, as an example crop, the use of hyperspectral techniques for quantifying yield-limiting factors in wheat is presented.

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Section: Hyperspectral Datamentioning

confidence: 99%

Approaches, applications, and future directions for hyperspectral vegetation studies: An emphasis on yield‐limiting factors in wheat

Bruning

Berger

Lewis

et al. 2020

The Plant Phenome Journal

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“…In the final contribution, Lodhi et al 3 evaluates the current trends in hyperspectral imaging from different platforms and instruments for various applications. These include mobile platforms, space-borne, airborne, ground-based sensing, unmanned aerial system, and underwater vehicle-based, in relation to Earth Observation.…”

Section: The Puzzling Earthmentioning

confidence: 99%

The Puzzling Earth

Santosh

Sajeev

2018

J Indian Inst Sci

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“…With its high spatial and spectral resolution, UHI is capable of identifying and classifying objects on a fine scale. On the other hand, underwater hyperspectral data can be gathered based on manned and unmanned underwater vehicles to achieve a large-scale underwater investigation [ 23 ]. Therefore, UHI provides a new way to produce high-quality descriptions of underwater sediments, minerals, benthic habitats, and heritage sites [ 24 ], and can be used in further researches areas, such as deep-sea mineral exploration [ 25 ], benthic habitat mapping [ 26 ], and underwater archaeology [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

“…In 2013, Johnsen et al [ 24 ] introduced several aspects of UHI technology, such as optical fingerprints, georeferenced aspects, etc., and gave case examples of underwater carrying platforms and associated applications in the mapping of seafloor biogeochemical properties. In 2018, Lodhi et al [ 23 ] also mentioned the usage of hyperspectral imaging on underwater platforms in a review of hyperspectral imaging on multiple platforms for earth observations.…”

Section: Introductionmentioning

confidence: 99%

Underwater Hyperspectral Imaging Technology and Its Applications for Detecting and Mapping the Seafloor: A Review

Liu

Men

et al. 2020

Sensors

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Common methods of ocean remote sensing and seafloor surveying are mainly carried out by airborne and spaceborne hyperspectral imagers. However, the water column hinders the propagation of sunlight to deeper areas, thus limiting the scope of observation. As an emerging technology, underwater hyperspectral imaging (UHI) is an extension of hyperspectral imaging technology in air conditions, and is undergoing rapid development for applications in shallow and deep-sea environments. It is a close-range, high-resolution approach for detecting and mapping the seafloor. In this paper, we focus on the concepts of UHI technology, covering imaging systems and the correction methods of eliminating the water column’s influence. The current applications of UHI, such as deep-sea mineral exploration, benthic habitat mapping, and underwater archaeology, are highlighted to show the potential of this technology. This review can provide an introduction and overview for those working in the field and offer a reference for those searching for literature on UHI technology.

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Hyperspectral Imaging for Earth Observation: Platforms and Instruments

Cited by 23 publications

References 82 publications

Approaches, applications, and future directions for hyperspectral vegetation studies: An emphasis on yield‐limiting factors in wheat

Approaches, applications, and future directions for hyperspectral vegetation studies: An emphasis on yield‐limiting factors in wheat

The Puzzling Earth

Underwater Hyperspectral Imaging Technology and Its Applications for Detecting and Mapping the Seafloor: A Review

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