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
More filters
Journal ArticleDOI
Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India
Ramandeep Kaur M. Malhi,Sultanova Umida Rustamovna,Akash Anand,Prashant K. Srivastava,Sumit Kumar Chaudhary,Manish Kumar Pandey,Mukund Dev Behera,Amit Kumar,Prachi Singh,G. Sandhya Kiran +9 more
TL;DR: In this paper, two nonparametric machine learning algorithms viz Support Vector Machines (SVMs) with different kernel functions were employed for the prediction of above ground biomass using different combinations of VV, VH, Normalized Difference Vegetation Index (NDVI) and Incidence Angle (IA).
Journal ArticleDOI
An Integrated Spatiotemporal Pattern Analysis Model to Assess and Predict the Degradation of Protected Forest Areas
Ramandeep Kaur M. Malhi,Akash Anand,Prashant Srivastava,G. Sandhya Kiran,George P. Petropoulos,Christos Chalkias +5 more
TL;DR: This study is one of the few focusing on exploring and demonstrating the added value of the synergistic use of the Cellular Automata Markov Chain Model Coupled with Fragmentation Statistics in forest degradation analysis and prediction.
Journal ArticleDOI
Enhanced classification of hyperspectral images using improvised oversampling and undersampling techniques
TL;DR: The current work explored the solution to handle class imbalance by resampling the datasets before the application of classification algorithms by proposing a new computationally efficient class wise resampled technique which is based on SMOTE and centroid-based clustering.
Journal ArticleDOI
Band selection algorithms for foliar trait retrieval using AVIRIS-NG: a comparison of feature based attribute evaluators
Ramandeep Kaur M. Malhi,Manish Kumar Pandey,Akash Anand,Prashant K. Srivastava,George P. Petropoulos,Prachi Singh,G. Sandhya Kiran,B. K. Bhattarcharya +7 more
TL;DR: Interband information overlapping enhances redundancy in hyperspectral data, which makes identification of application-specific optimal bands essential for obtaining accurate information about folia...
Journal ArticleDOI
Optimal band characterization in reformation of hyperspectral indices for species diversity estimation
Akash Anand,Sultanova Umida Rustamovna,Ramandeep Kaur M. Malhi,Prashant K. Srivastava,Prachi Singh,Ashwini N. Mudaliar,George P. Petropoulos,G. Sandhya Kiran +7 more
TL;DR: In this article, the authors provided modified hyperspectral indices through detection of optimum bands for estimating species diversity within Shoolpaneshwar Wildlife Sanctuary (SWS) in India.
References
More filters
Journal ArticleDOI
Hyperspectral remote sensing applied to mineral exploration in southern Peru: A multiple data integration approach in the Chapi Chiara gold prospect
Thais Andressa Carrino,Alvaro Penteado Crósta,Catarina Labouré Bemfica Toledo,Adalene Moreira Silva +3 more
TL;DR: A case study of an epithermal system located in southern Peru is presented, aimed at the characterization of mineral assemblies for discriminating potential high sulfidationEpithermal targets, using hyperspectral imagery integrated with petrography, XRD and magnetic data.
Journal ArticleDOI
Water quality monitoring and evaluation using remote-sensing techniques in China: A systematic review
Xiaoyan Wang,Wu Yang +1 more
TL;DR: In this paper, the application of remote-sensing techniques for water quality assessment has become increasingly popular in China, however, existing reviews are often limited to qualitative descriptors, which is not suitable for the general public.
Proceedings ArticleDOI
Development of a line-by-line-based atmosphere removal algorithm for airborne and spaceborne imaging spectrometers
Bo-Cai Gao,Curtiss O. Davis +1 more
TL;DR: In this paper, a line-by-line based algorithm for removing atmospheric effects from imaging spectrometer data is described. But, it is not suitable for modeling data collected with these spectrometers.
Journal ArticleDOI
Mapping Plant Functional Types at Multiple Spatial Resolutions Using Imaging Spectrometer Data
TL;DR: In this article, the authors used spatially resampled Airborne Visible InfraRed Imaging Spectrometer (AVIRIS) data acquired over the Wasatch Mountains of northern Utah, USA to examine changes in PFT classification accuracy as spatial resolution is degraded from 20 to 60 m.
Journal ArticleDOI
Use of Airborne Hyperspectral Imagery to Map Soil Properties in Tilled Agricultural Fields
W. Dean Hively,Gregory W. McCarty,James B. Reeves,Megan W. Lang,Robert Oesterling,Stephen R. Delwiche +5 more
TL;DR: In this paper, the authors used partial least squares regression of imagery-derived reflectance spectra to predict analyte concentrations, including carbon, aluminum, iron, and silt.
Related Papers (5)
An Overview of Hyperspectral Remote Sensing and its applications in various Disciplines
Alpana Shukla,Rajsi Kot +1 more