Band selection algorithms for foliar trait retrieval using AVIRIS-NG: a comparison of feature based attribute evaluators-Reference-Cited by-同舟云学术

Band selection algorithms for foliar trait retrieval using AVIRIS-NG: a comparison of feature based attribute evaluators

Published:2021-03-10 Issue: Volume: Page:1-17
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Malhi Ramandeep Kaur M.¹,Pandey Manish Kumar¹,Anand Akash¹^ORCID,Srivastava Prashant K.¹²^ORCID,Petropoulos George P.³,Singh Prachi¹,Sandhya Kiran G.⁴,Bhattarcharya B. K.⁵

Affiliation:

1. Remote Sensing Laboratory, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India

2. DST-Mahamana Centre for Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, Uttar Pradesh, India

3. Department of Geography, Harokopio University of Athens, Athens, Greece;

4. Ecophysiology and RS-GIS Lab, Department of Botany, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India

5. Space Application Centre, Indian Space Research Organization, Ahmedabad, Gujarat, India

Funder

Department of Science and Technology and Science and Engineering Research Board for National Post-Doctoral Fellowship

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1870167

Reference50 articles.