NIR‐red algorithms‐based model for chlorophyll‐a retrieval in highly turbid Inland Densu River Basin in South‐East Ghana, West Africa-Reference-Cited by-同舟云学术

NIR‐red algorithms‐based model for chlorophyll‐a retrieval in highly turbid Inland Densu River Basin in South‐East Ghana, West Africa

Published:2019-05-22 Issue:8 Volume:13 Page:1328-1332
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Rani Meenu¹,Rehman Sufia²,Sajjad Haroon²,Sidiki Alare Rahinatu³,Chaudhary B.S.⁴,Patairiya Shashikanta⁵,Rawat J.S.⁶,Chetri Tilok⁶^ORCID,Patel Swagatika⁶,Kumar Pavan⁶^ORCID

Affiliation:

1. G.B. Pant National Institute of Himalayan Environment & Sustainable DevelopmentKosi‐KatarmalAlmora263 643UttarakhandIndia

2. Faculty of Natural Science, Department of GeographyJamia Millia IslamiaNew Delhi100025India

3. Department of Environmental ScienceUniversity for Development StudiesP.O. Box 24NavrongoUpper East RegionGhana

4. Department of GeophysicsKurushetra UniversityKurukshetraIndia

5. Gurugram Metropolitan Development AuthorityGurugramHaryanaIndia

6. Department of Remote Sensing and GISKumaun UniversitySSJ CampusAlmora263601UttarakhandIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.6145

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