Land cover multiclass classification of wonosobo, Indonesia with time series-based one-dimensional deep learning model-Reference-Cited by-同舟云学术

Land cover multiclass classification of wonosobo, Indonesia with time series-based one-dimensional deep learning model

Published:2023-11 Issue: Volume:32 Page:101040
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Sencaki Dionysius Bryan^ORCID,Putri Mega Novetrishka,Santosa Budi Heru^ORCID,Arfah Siti^ORCID,Arifandri Robby^ORCID,Afifuddin ^ORCID,Habibie Muhammad Iqbal^ORCID,Putra Prabu Kresna^ORCID,Anatoly Nico^ORCID,Permata Zilda Dona Okta,Frederik Marina C.G.^ORCID,Agustan ^ORCID,Sumargana Lena,Priyadi Hari

Funder

Badan Riset dan Inovasi Nasional

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference71 articles.

1. Short-time-series grassland mapping using Sentinel-2 imagery and deep learning-based architecture;Abdollahi;Egyptian Journal of Remote Sensing and Space Science,2022

2. Comparison of random forest and support vector machine classifiers for regional land cover mapping using coarse resolution FY-3C images;Adugna;Rem. Sens.,2022

3. Urban land use and land cover change analysis using random forest classification of landsat time series;Amini;Rem. Sens.,2022

4. Modified soil-adjusted vegetation index in multi-spectral remote sensing data for estimating tree canopy cover density at rubber plantation;Anurogo;Journal of Geoscience, Engineering, Environment, and Technology,2018

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