Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application: (Case Study: Belitung Archipelago 1990 - 2020)

Iqbal Maulana Cipta; Fahmi Adnizar Sobarman; Hartanto Sanjaya; Mohammad Rohmaneo Darminto

doi:10.1109/AGERS53903.2021.9617354

Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application: (Case Study: Belitung Archipelago 1990 - 2020)

Iqbal Maulana Cipta
, Fahmi Adnizar Sobarman
, Hartanto Sanjaya
, Mohammad Rohmaneo Darminto

Teknik Geomatika
Institut Teknologi Sepuluh Nopember
National Research and Innovation Agency Republic of Indonesia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Bangka Belitung Archipelago is a province consisting of many islands and coastal areas, including mangrove ecosystems. Mangrove forests have experienced a decline since the 1990s due to land clearing for mining. However, there was a restoration of mangrove forests due to the replanting of mangrove forests in the 2000s. Based on these problems, this research aims to identify the changes area of mangrove forests that occurred in 1990 - 2020 in the Belitung Islands. For this purpose, multi-source remote sensing data is used (Landsat 5, Landsat 7, and Landsat 8), machine learning random forest, a free cloud-based platform of Google Earth Engine, and several vegetation indices including MSAVI (Modified, Soil-Adjusted Vegetation Index), NDVI (Normalized Difference Vegetation Index), and EVI (Enhanced Vegetation Index) which are used as indicators of mangrove forest decline and recovery. Based on the processing results, the highest area obtained in 2020 is 119.91 Ha, with a land cover classification accuracy of 99.09%. Meanwhile, the lowest area occurred in 2000, 70.88 Ha, with a land cover classification accuracy of 98.98%.

Original language	English
Title of host publication	2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	90-95
Number of pages	6
ISBN (Electronic)	9781665428071
DOIs	https://doi.org/10.1109/AGERS53903.2021.9617354
Publication status	Published - 2021
Event	4th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Jakarta, Indonesia Duration: 29 Sept 2021 → 30 Sept 2021

Publication series

Name	2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding

Conference

Conference	4th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021
Country/Territory	Indonesia
City	Jakarta
Period	29/09/21 → 30/09/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

Belitung Archipelago
Google Earth Engine
Land Cover
Mangrove Forest
Vegetation Indices

Access to Document

10.1109/AGERS53903.2021.9617354

Cite this

Cipta, I. M., Sobarman, F. A., Sanjaya, H., & Darminto, M. R. (2021). Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application: (Case Study: Belitung Archipelago 1990 - 2020). In 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding (pp. 90-95). (2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AGERS53903.2021.9617354

Cipta, Iqbal Maulana ; Sobarman, Fahmi Adnizar ; Sanjaya, Hartanto et al. / Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application : (Case Study: Belitung Archipelago 1990 - 2020). 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 90-95 (2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding).

@inproceedings{6e22cd444a1549c8b2a7d18f9cfca440,

title = "Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application: (Case Study: Belitung Archipelago 1990 - 2020)",

abstract = "Bangka Belitung Archipelago is a province consisting of many islands and coastal areas, including mangrove ecosystems. Mangrove forests have experienced a decline since the 1990s due to land clearing for mining. However, there was a restoration of mangrove forests due to the replanting of mangrove forests in the 2000s. Based on these problems, this research aims to identify the changes area of mangrove forests that occurred in 1990 - 2020 in the Belitung Islands. For this purpose, multi-source remote sensing data is used (Landsat 5, Landsat 7, and Landsat 8), machine learning random forest, a free cloud-based platform of Google Earth Engine, and several vegetation indices including MSAVI (Modified, Soil-Adjusted Vegetation Index), NDVI (Normalized Difference Vegetation Index), and EVI (Enhanced Vegetation Index) which are used as indicators of mangrove forest decline and recovery. Based on the processing results, the highest area obtained in 2020 is 119.91 Ha, with a land cover classification accuracy of 99.09\%. Meanwhile, the lowest area occurred in 2000, 70.88 Ha, with a land cover classification accuracy of 98.98\%.",

keywords = "Belitung Archipelago, Google Earth Engine, Land Cover, Mangrove Forest, Vegetation Indices",

author = "Cipta, \{Iqbal Maulana\} and Sobarman, \{Fahmi Adnizar\} and Hartanto Sanjaya and Darminto, \{Mohammad Rohmaneo\}",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Cipta, IM, Sobarman, FA, Sanjaya, H & Darminto, MR 2021, Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application: (Case Study: Belitung Archipelago 1990 - 2020). in 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding. 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 90-95, 4th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021, Jakarta, Indonesia, 29/09/21. https://doi.org/10.1109/AGERS53903.2021.9617354

Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application: (Case Study: Belitung Archipelago 1990 - 2020). / Cipta, Iqbal Maulana; Sobarman, Fahmi Adnizar; Sanjaya, Hartanto et al.
2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2021. p. 90-95 (2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application

T2 - 4th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021

AU - Cipta, Iqbal Maulana

AU - Sobarman, Fahmi Adnizar

AU - Sanjaya, Hartanto

AU - Darminto, Mohammad Rohmaneo

PY - 2021

Y1 - 2021

N2 - Bangka Belitung Archipelago is a province consisting of many islands and coastal areas, including mangrove ecosystems. Mangrove forests have experienced a decline since the 1990s due to land clearing for mining. However, there was a restoration of mangrove forests due to the replanting of mangrove forests in the 2000s. Based on these problems, this research aims to identify the changes area of mangrove forests that occurred in 1990 - 2020 in the Belitung Islands. For this purpose, multi-source remote sensing data is used (Landsat 5, Landsat 7, and Landsat 8), machine learning random forest, a free cloud-based platform of Google Earth Engine, and several vegetation indices including MSAVI (Modified, Soil-Adjusted Vegetation Index), NDVI (Normalized Difference Vegetation Index), and EVI (Enhanced Vegetation Index) which are used as indicators of mangrove forest decline and recovery. Based on the processing results, the highest area obtained in 2020 is 119.91 Ha, with a land cover classification accuracy of 99.09%. Meanwhile, the lowest area occurred in 2000, 70.88 Ha, with a land cover classification accuracy of 98.98%.

AB - Bangka Belitung Archipelago is a province consisting of many islands and coastal areas, including mangrove ecosystems. Mangrove forests have experienced a decline since the 1990s due to land clearing for mining. However, there was a restoration of mangrove forests due to the replanting of mangrove forests in the 2000s. Based on these problems, this research aims to identify the changes area of mangrove forests that occurred in 1990 - 2020 in the Belitung Islands. For this purpose, multi-source remote sensing data is used (Landsat 5, Landsat 7, and Landsat 8), machine learning random forest, a free cloud-based platform of Google Earth Engine, and several vegetation indices including MSAVI (Modified, Soil-Adjusted Vegetation Index), NDVI (Normalized Difference Vegetation Index), and EVI (Enhanced Vegetation Index) which are used as indicators of mangrove forest decline and recovery. Based on the processing results, the highest area obtained in 2020 is 119.91 Ha, with a land cover classification accuracy of 99.09%. Meanwhile, the lowest area occurred in 2000, 70.88 Ha, with a land cover classification accuracy of 98.98%.

KW - Belitung Archipelago

KW - Google Earth Engine

KW - Land Cover

KW - Mangrove Forest

KW - Vegetation Indices

UR - https://www.scopus.com/pages/publications/85123610519

U2 - 10.1109/AGERS53903.2021.9617354

DO - 10.1109/AGERS53903.2021.9617354

M3 - Conference contribution

AN - SCOPUS:85123610519

T3 - 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding

SP - 90

EP - 95

BT - 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 29 September 2021 through 30 September 2021

ER -

Cipta IM, Sobarman FA, Sanjaya H, Darminto MR. Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application: (Case Study: Belitung Archipelago 1990 - 2020). In 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2021. p. 90-95. (2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding). doi: 10.1109/AGERS53903.2021.9617354

Analysis of Mangrove Forest Change from Multioral Landsat Imagery Using Google Earth Engine Application: (Case Study: Belitung Archipelago 1990 - 2020)

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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