Evaluation of various image transformation techniques for the delineation of coastal sand dune features in Tamil Nadu, South India
Author:
Funder
Science and Engineering Research Board
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-021-00588-4.pdf
Reference37 articles.
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2. Akbari D (2017) An extended spectral - spatial classification approach for hyperspectral data, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf Sci . https://doi.org/10.5194/isprs-annals-IV-4-W4-37-2017
3. Alnahmi F, Saddiqi O, Hilali A, Rhinane H, Baidder L, Elarabi H, Khanbari K (2017) Application of remote sensing in geological mapping, case study Al Maghrabah area – Hajjah region, Yemen. ISPRS annals of photogrammetry. Remote Sensing and Spatial Information Sciences IV-4(W4):63–71. https://doi.org/10.5194/isprs-annals-IV-4-W4-63-2017
4. Anabella MM, Marcello J, Hernandez-Cordero AI, Abasolo JM, Eugenio F (2018) Vegetation species mapping in a coastal-dune ecosystem using high resolution satellite imagery. GIScience & Remote Sensing 56:210–232. https://doi.org/10.1080/15481603.2018.1502910
5. Andrews BD, Gares PA, Colby J (2002) Techniques for GIS modeling of coastal dunes. Geomorphology 48:289–308. https://doi.org/10.1016/S0169-555X(02)00186-1
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