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
TLDR
Interband information overlapping enhances redundancy in hyperspectral data, which makes identification of application-specific optimal bands essential for obtaining accurate information about folia...Abstract:
Interband information overlapping enhances redundancy in hyperspectral data. This makes identification of application-specific optimal bands essential for obtaining accurate information about folia...read more
Citations
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Posted Content
Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data
Abel Ramoelo,Moses Azong Cho,Renaud Mathieu,S. Madonsela,Ruben Van De Kerchove,Zaneta Kaszta,Eléonore Wolff +6 more
TL;DR: The study demonstrated that leaf N could be monitored using high spatial resolution with the red edge band capability, and is important for rangeland assessment and monitoring.
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
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.
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
Crop type discrimination using Geo-Stat Endmember Extraction and machine learning algorithms
Prachi Singh,Prashant K. Srivastava,Dharambhai Shah,Manish Kumar Pandey,Akash Anand,Rajendra Prasad,Rucha Dave,Jochem Verrelst,Bimal K. Bhattacharya,Aditya Raghubanshi +9 more
TL;DR: In this article , the authors utilized the benefits of Airborne VISible Infrared Imaging Spectrometer New Generation (AVIRIS-NG) data and explored the techniques for classification and identification of crop types.
References
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Journal ArticleDOI
Wrappers for feature subset selection
Ron Kohavi,George H. John +1 more
TL;DR: The wrapper method searches for an optimal feature subset tailored to a particular algorithm and a domain and compares the wrapper approach to induction without feature subset selection and to Relief, a filter approach tofeature subset selection.
Journal ArticleDOI
Summarizing multiple aspects of model performance in a single diagram
TL;DR: In this article, a diagram has been devised that can provide a concise statistical summary of how well patterns match each other in terms of their correlation, their root-mean-square difference, and the ratio of their variances.
Journal ArticleDOI
Global observed changes in daily climate extremes of temperature and precipitation
Lisa V. Alexander,Lisa V. Alexander,Lisa V. Alexander,Xuebin Zhang,Thomas C. Peterson,John Caesar,Byron E. Gleason,A. M. G. Klein Tank,M. R. Haylock,Dean Collins,Blair Trewin,Fatemeh Rahimzadeh,A. Tagipour,K. Rupa Kumar,J. V. Revadekar,G M Griffiths,Lucie A. Vincent,David B. Stephenson,J. Burn,Enric Aguilar,Manola Brunet,Michael A. Taylor,Mark New,Panmao Zhai,Matilde Rusticucci,J. L. Vazquez-Aguirre +25 more
TL;DR: A suite of climate change indices derived from daily temperature and precipitation data, with a primary focus on extreme events, were computed and analyzed as discussed by the authors, and the results showed widespread significant changes in temperature extremes associated with warming.
Correlation-based Feature Selection for Machine Learning
TL;DR: This thesis addresses the problem of feature selection for machine learning through a correlation based approach with CFS (Correlation based Feature Selection), an algorithm that couples this evaluation formula with an appropriate correlation measure and a heuristic search strategy.
Book ChapterDOI
A Practical Approach to Feature Selection
Kenji Kira,Larry A. Rendell +1 more
TL;DR: Comparison with other feature selection algorithms shows Relief's advantages in terms of learning time and the accuracy of the learned concept, suggesting Relief's practicality.