Land-use and land-cover classification using Sentinel-2 data and machine-learning algorithms: operational method and its implementation for a mountainous area of Nepal-Reference-Cited by-同舟云学术

Land-use and land-cover classification using Sentinel-2 data and machine-learning algorithms: operational method and its implementation for a mountainous area of Nepal

Published:2019-03-28 Issue:01 Volume:13 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Delalay Marie¹,Tiwari Varun²,Ziegler Alan D.¹,Gopal Vik³,Passy Paul⁴

Affiliation:

1. National University of Singapore, Geography Department

2. International Centre for Integrated Mountain Development, Kathmandu

3. National University of Singapore, Department of Statistics and Applied Probability

4. Sorbonne University, Institute Pierre-Simon Laplace, Paris

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference58 articles.

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2. Classification concepts, land cover classification system;Di Gregorio,2016

3. Copernicus,2017

4. Land Cover Status in the Koshi River Basin, Central Himalayas

5. Random forest in remote sensing: A review of applications and future directions

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