Book ChapterDOI
Revisiting hyperspectral remote sensing: origin, processing, applications and way forward
Prashant K. Srivastava,Ramandeep Kaur M. Malhi,Prem Chandra Pandey,Akash Anand,Prachi Singh,Manish Kumar Pandey,Ayushi Gupta +6 more
- pp 3-21
TLDR
This chapter discusses the origin of hyperspectral remote sensing, its importance, preprocessing, inversion models suitable for hyperspectrals, as well as several possible applications, including but not limited to, vegetation analysis, agriculture, urban, water quality, and mineral identification.Abstract:
After several years of research and development in hyperspectral imaging systems that enriched our knowledge and enhanced our capacity to explore the Earth, these systems have been widely accepted by the remote sensing community. They have evolved as major techniques and have now entered the mainstream of the earth observation data users. This chapter discusses the origin of hyperspectral remote sensing, its importance, preprocessing, inversion models suitable for hyperspectral datasets, as well as several possible applications, including but not limited to, vegetation analysis, agriculture, urban, water quality, and mineral identification. The chapter concludes by looking at the way forward for hyperspectral remote sensing.read more
Citations
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Journal ArticleDOI
A hyperspectral R based leaf area index estimator: model development and implementation using AVIRIS-NG
TL;DR: In this paper , a new crop estimator model given the name "Crop Stage estimator" was developed using the hyperspectral remote sensing data on an open-source R platform.
Journal ArticleDOI
Hyper-spectral Remote Sensing of Water Quality Parameters in Lakes: A Case Study of Hyderabad City, Telangana State, India
TL;DR: In this article, the authors presented a comprehensive water quality modeling for predicting three water quality parameters (Chlorophyll (a), Turbidity and Secchi Depth) in typical Inland lake environments (Hussain sagar and Umda sagar) using Hyperspectral Remote sensing technique.
Book ChapterDOI
Future pathway for research and emerging applications in GPS/GNSS
TL;DR: The evolution of theGNSS is discussed along with its market emergence and convergence followed by a detailed discussion on the challenges and vulnerabilities of the GNSS.
References
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Journal ArticleDOI
Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
TL;DR: In this paper, the authors investigated the utility of high spectral and spatial resolution imagery for the automated species-level classification of individual tree crowns (ITCs) in a tropical rain forest (TRF).
Journal ArticleDOI
MODTRAN cloud and multiple scattering upgrades with application to AVIRIS
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Description of a computer code to simulate the satellite signal in the solar spectrum : the 5S code
Didier Tanré,Christine Deroo,P. Duhaut,Maurice Herman,J. J. Morcrette,J. Perbos,Pierre-Yves Deschamps +6 more
TL;DR: In this paper, a computer code (acronym 5S) is developed that allows estimation of the solar radiation backscattered by the Earth-surface-atmosphere system, as it is observed by a satellite sensor.
Journal ArticleDOI
Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data
TL;DR: Study of the merit function in the numerical inversion showed that red edge optical indices used in the minimizing function such as R/sub 750//R/sub 710/ perform better than when all single spectral reflectance channels from hyper-spectral airborne CASI data are used, and in addition, the effect of shadows and LAI variation are minimized.
Related Papers (5)
An Overview of Hyperspectral Remote Sensing and its applications in various Disciplines
Alpana Shukla,Rajsi Kot +1 more