Advanced calibration to improve robustness of drone-acquired hyperspectral remote sensing data

Singh, Keshav Dev; Nansen, Christian

doi:10.1109/agro-geoinformatics.2017.8047061

Cited by 9 publications

(7 citation statements)

References 18 publications

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“…Hyperspectral sensors have been successfully used within agricultural surveying and have demonstrated the ability to collect high quality data [89]. However, this ability to collect high quality data has also become a challenge for their application to UAVs due to the resultant ortho-rectification errors [94]. Current airborne hyperspectral imaging also faces limitations from factors such as non-linear weather dynamics, irregular light intensity [94] as well as the weight of a survey grade sensor [88].…”

Section: Discussionmentioning

confidence: 99%

“…However, this ability to collect high quality data has also become a challenge for their application to UAVs due to the resultant ortho-rectification errors [94]. Current airborne hyperspectral imaging also faces limitations from factors such as non-linear weather dynamics, irregular light intensity [94] as well as the weight of a survey grade sensor [88]. We do, however, agree with the findings of [88] that this is an extremely fast moving field and that there is great promise for drone-based hyperspectral imaging in the near future.…”

Section: Discussionmentioning

confidence: 99%

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Using 1st Derivative Reflectance Signatures within a Remote Sensing Framework to Identify Macroalgae in Marine Environments

2019

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Macroalgae blooms (MABs) are a global natural hazard that are likely to increase in occurrence with climate change and increased agricultural runoff. MABs can cause major issues for indigenous species, fish farms, nuclear power stations, and tourism activities. This project focuses on the impacts of MABs on the operations of a British nuclear power station. However, the outputs and findings are also of relevance to other coastal operators with similar problems. Through the provision of an early-warning detection system for MABs, it should be possible to minimize the damaging effects and possibly avoid them altogether. Current methods based on satellite imagery cannot be used to detect low-density mobile vegetation at various water depths. This work is the first step towards providing a system that can warn a coastal operator 6–8 h prior to a marine ingress event. A fundamental component of such a warning system is the spectral reflectance properties of the problematic macroalgae species. This is necessary to optimize the detection capability for the problematic macroalgae in the marine environment. We measured the reflectance signatures of eight species of macroalgae that we sampled in the vicinity of the power station. Only wavelengths below 900 nm (700 nm for similarity percentage (SIMPER)) were analyzed, building on current methodologies. We then derived 1st derivative spectra of these eight sampled species. A multifaceted univariate and multivariate approach was used to visualize the spectral reflectance, and an analysis of similarities (ANOSIM) provided a species-level discrimination rate of 85% for all possible pairwise comparisons. A SIMPER analysis was used to detect wavebands that consistently contributed to the simultaneous discrimination of all eight sampled macroalgae species to both a group level (535–570 nm), and to a species level (570–590 nm). Sampling locations were confirmed using a fixed-wing unmanned aerial vehicle (UAV), with the collected imagery being used to produce a single orthographic image via standard photogrammetric processes. The waveband found to contribute consistently to group-level discrimination has previously been found to be associated with photosynthetic pigmentation, whereas the species-level discriminatory waveband did not share this association. This suggests that the photosynthetic pigments were not spectrally diverse enough to successfully distinguish all eight species. We suggest that future work should investigate a Charge-Coupled Device (CCD)-based sensor using the wavebands highlighted above. This should facilitate the development of a regional-scale early-warning MAB detection system using UAVs, and help inform optimum sensor filter selection.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Using 1st Derivative Reflectance Signatures within a Remote Sensing Framework to Identify Macroalgae in Marine Environments

2019

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“…A comunidade científica tem buscado maneiras de enfrentar esse desafio, das quais se destacam a melhora nos processos de aquisição dos dados (visando a controlar as condições ambientais) e nas metodologias de análises (visando a minimizar os ruídos) (ADÃO et al, 2017). Dessa maneira, o desenvolvimento de técnicas robustas de calibragem é essencial para garantir a repetitividade dos dados extraídos de uma lavoura ao longo do ciclo de desenvolvimento da cultura NANSEN, 2017). Somente assim, será possível identificar eficientemente o comportamento de populações de pragas ou o avanço de doenças, tanto pelo tempo, quanto pela distribuição geográfica na lavoura ELLIOTT, 2015).…”

Section: Sensores Hiperespectraisunclassified

Monitoramento Fitossanitário Utilizando Sensoriamento Remoto: Avanços e Desafios

Barros

Rosalen²,

Filho

et al. 2021

Rev. Bras. Cartogr.

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Problemas fitossanitários, como doenças, pragas e plantas daninhas, que competem com as plantas cultivadas por recursos e, consequentemente, prejudicam seu pleno desenvolvimento, são responsáveis por perdas significativas no setor agrícola, ano após ano. Portanto, conhecer o status sanitário da lavoura é um fator crucial no planejamento de ações de manejo, além de embasar políticas públicas de investimento e de proteção, a serem adotadas, com o objetivo de prevenir perdas produtivas e de assegurar a segurança alimentar da nação. Quando expostas a esses problemas, as plantas ativam respostas de defesa, cujos mecanismos moleculares são muito complexos. Nos estágios iniciais de um ataque de pragas ou de uma doença, embora os sintomas ainda não sejam visíveis no dossel, as plantas reagem com diferentes mecanismos fisiológicos, tais como a redução da taxa de fotossíntese, que induz a um aumento da fluorescência e da emissão de calor. Dessa forma, plantas estressadas produzem uma assinatura espectral que difere da assinatura de uma planta saudável. Dentro do Sensoriamento Remoto, inúmeras pesquisas têm estudado a relação entre diferentes problemas fitossanitários com a resposta espectral registrada em sensores multi ou hiperespectrais (sejam imageadores ou não imageadores, ativos ou passivos e embarcados em plataformas terrestres, aéreas ou orbitais). Nesse contexto, o objetivo desta revisão é descrever o estado da arte da tecnologia de Sensoriamento Remoto aplicada a aspectos fitossanitários de lavouras, nos níveis de coleta de dados terrestre, aéreo e orbital, envolvendo diferentes modalidades de sensores.

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“…Correct calibration of measuring instruments using standard materials provides accurate and reproducible results in the comparative evaluation of optical properties and color, as well as in the normalization of data. Typical materials used as reflective standards include porous barium sulfate and polytetrafluoroethylene. − Driven by technological advancements, the need for labor-saving solutions, and the ability to safely conduct measurements in hazardous areas, there has been a significant increase in the use of drones and robots for remote measurements in recent years . In the automatic image data acquisition using RGB and hyperspectral cameras, it is important to maintain exposure and white balance, and there is a growing demand for reflective target materials to obtain calibration image data.…”

Section: Introductionmentioning

confidence: 99%

Marshmallow-like Macroporous Silicone Monoliths as Reflective Standards and High Solar-Reflective Materials

Hayase

2023

ACS Appl. Polym. Mater.

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The growing need to expand outdoor remote sensing using drones and robots and to mitigate the urban heat island effect has led to an increasing demand for highly reflective materials suitable for outdoor use. I have successfully developed flexible macroporous silicone monoliths that exhibit high diffuse reflectance due to Mie scattering caused by the skeletal structure. The porous silicone materials were prepared by a two-step acetic acid−triethanolamine catalyzed surfactantfree sol−gel process using tetra-, tri-, and difunctional silicon alkoxides as co-precursors. In the optimal sample, the material exhibited a total reflectance of more than 97.5% in the 400−1100 nm wavelength. This range corresponds to the light detection range of silicon diodes. The optical property suggests potential applications for the silicone monoliths as simple optical calibration targets (reflective standard), providing a viable alternative to conventional materials such as porous polytetrafluoroethylene or barium sulfate. In addition, high reflectance of the material surfaces across the solar spectrum results in a significant reduction of increased surface temperature when exposed to direct sunlight. With its combination of reflectivity, water repellency, UV resistance, low thermal conductivity, and mid-infrared radiation properties, the macroporous silicone monolith offers promising potential for outdoor thermal management applications.

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Advanced calibration to improve robustness of drone-acquired hyperspectral remote sensing data

Cited by 9 publications

References 18 publications

Using 1st Derivative Reflectance Signatures within a Remote Sensing Framework to Identify Macroalgae in Marine Environments

Using 1st Derivative Reflectance Signatures within a Remote Sensing Framework to Identify Macroalgae in Marine Environments

Monitoramento Fitossanitário Utilizando Sensoriamento Remoto: Avanços e Desafios

Marshmallow-like Macroporous Silicone Monoliths as Reflective Standards and High Solar-Reflective Materials

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