Multispectral remote sensing for mapping grassland degradation using the key indicators of grass species and edaphic factors

Khalid Mansour; Onisimo Mutanga; Elhadi Adam; Elfatih M. Abdel-Rahman

doi:10.1080/10106049.2015.1059898

Multispectral remote sensing for mapping grassland degradation using the key indicators of grass species and edaphic factors

Geocarto International ◽

10.1080/10106049.2015.1059898 ◽

2015 ◽

Vol 31 (5) ◽

pp. 477-491 ◽

Cited By ~ 14

Author(s):

Khalid Mansour ◽

Onisimo Mutanga ◽

Elhadi Adam ◽

Elfatih M. Abdel-Rahman

Keyword(s):

Remote Sensing ◽

Grass Species ◽

Grassland Degradation ◽

Edaphic Factors ◽

Multispectral Remote Sensing ◽

Key Indicators

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Prototype focal plane assembly for multispectral remote sensing

10.2514/6.1995-3673 ◽

1995 ◽

Author(s):

Jeffrey Rienstra ◽

John Vampola

Keyword(s):

Remote Sensing ◽

Focal Plane ◽

Multispectral Remote Sensing

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The Challenge of Multispectral Remote Sensing for Mapping Kentucky Wetlands

Journal of the Kentucky Academy of Science ◽

10.3101/1098-7096-77.1.36 ◽

2016 ◽

Vol 77 (1-2) ◽

pp. 36-43

Author(s):

Kelly Watson

Keyword(s):

Remote Sensing ◽

Multispectral Remote Sensing

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Multispectral Remote Sensing and COAMPS Model Analysis Methods for Marine Cloud Structure, Entrainment Processes and Refractivity Effects

10.21236/ada429089 ◽

2004 ◽

Author(s):

Melanie A. Wetzel ◽

Steven K. Chai ◽

Darko R. Koracin

Keyword(s):

Remote Sensing ◽

Model Analysis ◽

Cloud Structure ◽

Analysis Methods ◽

Multispectral Remote Sensing

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A novel convolutional neural network architecture of multispectral remote sensing images for automatic material classification

Signal Processing Image Communication ◽

10.1016/j.image.2021.116329 ◽

2021 ◽

pp. 116329

Author(s):

Chuen-Horng Lin ◽

Ting-You Wang

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Convolutional Neural Network ◽

Network Architecture ◽

Remote Sensing Images ◽

Neural Network Architecture ◽

Material Classification ◽

Multispectral Remote Sensing

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Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery

2020 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata50022.2020.9378086 ◽

2020 ◽

Author(s):

Trevor M. Bajkowski ◽

Grant J. Scott ◽

J. Alex Hurt ◽

Curt H. Davis

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Deep Convolutional Neural Networks ◽

Remote Sensing Imagery ◽

Multispectral Remote Sensing

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A Multispectral Remote Sensing Data Spectral Unmixing Algorithm Based on Variational Bayesian ICA

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-012-0245-0 ◽

2012 ◽

Vol 41 (2) ◽

pp. 259-268 ◽

Cited By ~ 5

Author(s):

Chengfan Li ◽

Jingyuan Yin

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Spectral Unmixing ◽

Variational Bayesian ◽

Sensing Data ◽

Multispectral Remote Sensing

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Quality analysis in N-dimensional lossy compression of multispectral remote sensing time series images

10.1117/12.860569 ◽

2010 ◽

Author(s):

L. Pesquer ◽

A. Zabala ◽

X. Pons ◽

J. Serra-Sagristà

Keyword(s):

Remote Sensing ◽

Time Series ◽

Lossy Compression ◽

Quality Analysis ◽

Multispectral Remote Sensing ◽

Time Series Images ◽

Sensing Time

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Degraded land detection by soil particle composition derived from multispectral remote sensing data in the Otindag Sandy Lands of China

Geoderma ◽

10.1016/j.geoderma.2014.11.011 ◽

2015 ◽

Vol 241-242 ◽

pp. 97-106 ◽

Cited By ~ 13

Author(s):

Junjun Wu ◽

Zengyuan Li ◽

Zhihai Gao ◽

Bengyu Wang ◽

Lina Bai ◽

...

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Soil Particle ◽

Degraded Land ◽

Particle Composition ◽

Sensing Data ◽

Multispectral Remote Sensing

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Deforestation and carbon loss estimation at tropical forest using multispectral remote sensing: Case study of Besul Tambahan Permanent Forest Reserve

2015 International Conference on Space Science and Communication (IconSpace) ◽

10.1109/iconspace.2015.7283797 ◽

2015 ◽

Cited By ~ 2

Author(s):

Zulkiflee Abd Latif ◽

Hud Mohamad Zaqwan ◽

Mohamed Saufi ◽

Nor Aizam Adnan ◽

Hamdan Omar

Keyword(s):

Remote Sensing ◽

Tropical Forest ◽

Loss Estimation ◽

Carbon Loss ◽

Forest Reserve ◽

Multispectral Remote Sensing

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Algorithm for Recognition of Unidentified Multispectral Remote Sensing Data

2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) ◽

10.1109/usbereit51232.2021.9455094 ◽

2021 ◽

Author(s):

Nina S. Vinogradova ◽

Oleg Yu. Ivanov ◽

Natalya Yu. Sevastianova

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

Multispectral Remote Sensing

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