Quantifying Mangrove Dynamics using Sentinel-1 Multitemporal Data and Random Forest Algorithm-Reference-Cited by-同舟云学术

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Quantifying Mangrove Dynamics using Sentinel-1 Multitemporal Data and Random Forest Algorithm

Published:2023-10-23 Issue: Volume:24 Page:1-6
ISSN:
Container-title:2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)
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Author:

Simarmata Nirmawana¹,Wikantika Ketut¹,Darmawan Soni²,Harto Agung Budi¹,Adlan Nadzir Zulfikar³,Sari Dewi Nawang⁴

Affiliation:

1. Center for Remote Sensing Institut Teknologi Bandung,Geodesy and Geomatics Engineering,Bandung,Indonesia

2. Center for Remote Sensing Institut Teknologi Bandung,Geodesy Engineering Institut Teknologi Nasional,Bandung,Indonesia

3. University of Bonn Geomatics Engineering Institut Teknologi Sumatera,Institute of Geodesy and Geoinformation,Lampung,Indonesia

4. Institut Teknologi Sumatera,Geomatics Engineering,Lampung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388487/10388509/10388648.pdf?arnumber=10388648

Reference27 articles.

1. The Botany of Mangroves

2. Remote Sensing of Mangrove Ecosystems: A Review

3. Carbon sequestration in mangrove forests

4. Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine

5. A review of remote sensing for mangrove forests: 1956–2018

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