Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI

Tsaniya Nurafifah Suryana; Sherlina Purnamasari; Kevin Ewaldo

doi:10.33904/ejfe.1395676

EN

Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI

Abstract

Mangrove forests in Angke Kapuk, North Jakarta, are integral parts of the coastal ecosystem and play important roles in supporting environmental sustainability. One component of the Angke Kapuk Mangrove Forest is the Mangrove Nature Tourism Park (MNTP), Angke Kapuk, covering an area of 99.82 hectares. This study aims to analyze mangrove forest degradation in Angke Kapuk Nature Reserve using the Normalized Difference Vegetation Index (NDVI, which allows for mapping mangrove vegetation density and monitoring changes in the vegetation density over time. The objective of this study is to determine the degradation of mangrove forests from 2018 to 2023 using the NDVI derived from Landsat 8 and Landsat 9 satellite imagery. The findings of this study showed a change of 13.16 hectares in forested areas between 2018 and 2023, suggesting forest degradation. Accuracy assessment resulted in 80% overall accuracy with a kappa coefficient of 76.2%. Based on the literature, our results are similar to the acceptable level of accuracy, which is considered to be above 80%. Monitoring mangrove forest areas can serve as a preventive measure to address the issue of mangrove forest degradation. These results underscore the necessity of sustainable forestry monitoring efforts in the MNTP area, as it contributes significantly to providing ecosystem services and maintaining environmental sustainability.

Keywords

Forest degradation, mangrove, NDVI, North Jakarta, tourism

Supporting Institution

This work has been generously supported by Yayasan Mangrove Indonesia Lestari

Thanks

The authors would also like to express their gratitude to the Department of Forestry of DKI Jakarta Province for their invaluable support

References

Abd-El Monsef, H., Smith, S.E. 2017. A new approach for estimating mangrove canopy cover using LANDSAT 8 imagery. Computers and Electronics in Agriculture, 135:183-194. https://doi.org/10.1016/ j.compag.2017.02.007
Arifanti, V.B., Sidik, F., Mulyanto, B. 2022. Challenges and Strategies for Sustainable Mangrove Management in Indonesia: A Review. Forest, 13(5): 695. https://doi.org/10.3390/f13050695
Annatakarn, K., Fooprateepsiri, R., Suwanprapab, M., Supunyachotsakul, C., Witchayangkoon, B. 2022. Finding threshold for NDVI to classify green area: case study in the central Thailand. Journal of Hunan University Natural Sciences, 49(4). https://doi.org/ 10.55463/issn.1674-2974.49.4.34
Bernstein, L.S., Adler-Golden, S.M., Jin, X., Gregor, B., Sundberg, R.L. 2012. Quick atmospheric correction (QUAC) code for VNIR-SWIR spectral imagery: Algorithm details. In 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. http://dx.doi.org /10.1109/WHISPERS.2012.6874311
Carugati, L., Gatto, B., Rastelli, E., Martire, M.L., Coral, C., Greto, S., Danovaro, R. 2018. Impact of mangrove forests degradation on biodiversity and ecosystem functioning. Scientific Reports, 8: 13298. https:// doi.org/10.1038/s41598-018-31683-0
Congalton, R. G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote sensing of environment, 37(1), 35-46.
Davis, Z., Nesbitt, L., Guhn, M., van den Bosch, M. 2023. Assessing changes in urban vegetation using Normalised Difference Vegetation Index (NDVI) for epidemiological studies. Urban Forestry and Urban Greening, 88. https://doi.org/10.1016/j.ufug.2023. 128080
Department of Forestry of DKI Jakarta Province. 2022. Preparation of forest management plan for the management of the Angke Kapuk Forest Area, North Jakarta, DKI Jakarta Province. Jakarta.
de Silva, W., Amarasinghe, M.D. 2023. Coastal protection function of mangrove ecosystems: a case study from Sri Lanka. Journal of Coastal Conservation, 27(6). https://doi.org/10.1007/s11852-023-00990-8
Dewi, E. K., Trisakti, B. 2017. Comparing atmospheric correction methods for Landsat OLI data. International Journal of Remote Sensing and Earth Sciences (IJReSES), 13(2):105-120. http://dx.doi.org /10.30536/j.ijreses.2016.v13.a2472

Efriyeldi, E., Syahrial, S., Effendi, I., Almanar, I.P., Syakti, A.D. 2023. The mangrove ecosystem in a harbor-impacted city in Dumai, Indonesia: A conservation status. Regional Studies in Marine Science, 65. https://doi.org/10.1016/j.rsma.2023.103 092
Ewaldo, K., Karuniasa, M., Takarina, N.D. 2023. Carrying capacity of mangrove ecotourism area in Pantai Indah Kapuk, North Jakarta, Indonesia. Biodiversitas, 24(10): 5808-5819. http://dx.doi.org/ 10.13057/biodiv/d241063
FAO [Food and Agriculture Organization of the United Nations]. 2020. Global Forest Resources Assessment 2020 Main Report. In Reforming China’s Healthcare System. Rome. Italy. DOI: 10.4324/9781315184487-1.
Farras, H.R.H., Abdurrahman, U., Fadhil, P.I., Nur, A.A. 2022. Mapping of Coastal Mangrove at Mangrove Nature Tourism Park, Angke Kapuk, North Jakarta, Indonesia. Korea-Indonesia Marine Technology Cooperation Research Center. Jakarta
Faruque, M.J., Hasan, M.Y., Islam, K.Z., Young, B., Ahmed, M.T., Monir, M.U., Shovon, S.M., Kakon, J.F., Kundu, P. 2022. Monitoring of land use and land cover changes by using remote sensing and GIS techniques at human-induced mangrove forests areas in Bangladesh. Remote Sensing Applications: Society and Environment, 25, 100699. https://doi.org/ 10.1016/j.rsase.2022.100699
Fayech, D., Tarhouni, J., 2021. Climate variability and its effect on normalized difference vegetation index (NDVI) using remote sensing in semi-arid area. Modeling Earth Systems and Environment, 7(3): 1667–1682. https://doi.org/10.1007/s40808-020008 96-6
Gerard, F.F., George, C.T., Hayman, G., Chavana-Bryant, C., Weedon GP. 2020. Leaf phenology amplitude derived from MODIS NDVI and EVI: Maps of leaf phenology synchrony for Meso- and South America. Geosciences Data Journal, 7:13–26. https://doi.org/10.1002/gdj3.87
Giri, C. 2023. Frontiers in Global Mangrove Forest Monitoring. Remote Sensing, 15(15). https://doi.org/10.3390/rs15153852
Goldberg, L., Lagomasino, D., Thomas, N., Fatoyinbo, T., 2020. Global declines in human‐driven mangrove loss. Global Change Biology, 26(10), 5844-5855. https://doi.org/10.1111/gcb.15275
Guo, Y., Zeng, F. 2012. Atmospheric correction comparison of SPOT-5 image based on model FLAASH and model QUAC. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39: 7-11. https://doi. org/10.5194/isprsarchives-XXXIX-B7-7-2012
Hasani, Q., Anisa, A., Damai, A.A., Yuliana, D., Yudha, I.G., Julian, D., 2023. Biodiversitas, 24(7): 3735-3742. https://doi.org/10.13057/biodiv/d240710
Iacono, L.E., Pacios, D., Vazquez-Poletti, J.L. 2023. SNDVI: A new scalable serverless framework to compute NDVI. Frontiers in High Performance Computing, 1, 1151530.
Jianya, G., Haigang, S., Guorui, M., Qiming, Z. 2008. A review of multi-temporal remote sensing data change detection algorithms. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B7): 757-762.
Kędziorski, P., Kogut, T., Oberski, T. 2023. Impact of radiometric correction on the processing of UAV images. Scientific Journals of the Maritime University of Szczecin, 73 (145): 5-14. DOI: 10.17402/550.
Lintz, J., Simonett, D.S. 1976. Sensors for spacecraft. Remote Sensing of Environment, 323-343. https://doi.org/10.1177/030913337900300412
Meera, S.P., Bhattacharyya, M. Kumar, A. 2023. Dynamics of mangrove functional traits under osmotic and oxidative stresses. Plant Growth Regul 101, 285–306. https://doi.org/10.1007/s10725-023-01034-9
Moravec, D., Komárek, J., Medina, S. L., Molina, I. 2021. Effect of Atmospheric Corrections on NDVI: Intercomparability of Landsat 8, Sentinel-2, and UAV Sensors. Remote Sensing, 13(8): 3550. https://doi.org/ 10.3390/rs13183550
Mayalanda, Y., Yulianda, F., Setyobudiandi, I. 2014. Strategy for mangrove ecosystem rehabilitation throughout damaged level analysis at Muara Angke Wildlife Sanctuary, Jakarta. International Journal of Bonorowo Wetlands, 4(1): 12-36. https://doi.org/ 10.13057/bonorowo/w040102
Muchsin, F., Harmoko, A., Prasasti, I., Rahayu, M.I., Fibriawati, L., Pradhono, K.A. 2022. Comparison of The Radiometric Correction Landsat-8 Image Based on Object Spectral Response and Vegetation Index. International Journal of Remote Sensing and Earth Sciences (IJReSES), 18(2): 177-188. http://dx.doi. org/10.30536/j.ijreses.2021.v18.a3632
Naser, M.A., Khosla, R., Longchamps, L., Dahal, S. 2020. Using NDVI to differentiate wheat genotypes productivity under dryland and irrigated conditions. Remote Sensing, 12(5): 824. https://doi.org/ 10.3390/rs12050824
Pamungkas, B., Kurnia, R., Riani, E., Taryono. 2020. Classification of Mangrove Ecosystem Area in Pantai Bahagia Village, Muara Gembong, Bekasi Regency, Using Sentinel Imagery with Normalized Difference Vegetation Index Method. Journal of Tropical Marine Science and Technology, 12(3):821-831. https://doi. org/10.29244/jitkt.v12i3.32241
Paolini, L., Grings, F., Sobrino, J.A., Jiménez Muñoz, J.C., Karszenbaum, H. 2006. Radiometric correction effects in Landsat multi‐date/multi‐sensor change detection studies. International Journal of Remote Sensing, 27(4):685-704. https://doi.org/10.1080/ 01431160500183057
Perri, S., Detto, M., Porporato, A., Molini, A. 2023. Salinity-induced limits to mangrove canopy height. Global Ecology and Biogeography, 32(9):1561–1574. https://doi.org/10.1111/geb.13720
Picon, A., Bereciartua-perez, A., Eguskiza, I., Romero-Rodriguez, J., Jimenez-Ruiz, C.J., Eggers, T., Klukas, C., Navarra-Mestre, R. 2022. Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation. Artificial Intelligence in Agriculture, 6: Pages 199-210. https://doi.org/10.1016/j.aiia.2022. 09.004
Purnamasari, E., Kamal, M., Wicaksono, P. 2021. Comparison of vegetation indices for estimating above-ground mangrove carbon stocks using PlanetScope image. Regional Studies in Marine Science, 44. https://doi.org/10.1016/j.rsma. 2021.101730
Rondon, M., Ewane, B.E., Abdullah, M., Watt, M., Blanton, A., Abulibdeh, A., Mohan, M. 2023. Remote sensing-based assessment of mangrove ecosystems in the Gulf Cooperation Council countries: A systematic review. Frontiers in Marine Science, 10, 1241928. https://doi.org/10.3389/fmars.2023.1241928
Sari, N., Patria, M.P., Soesilo, T.E.B., Tejakusuma, I.G. 2019. The Structure of Mangrove Communities in Response to Water Quality in Jakarta Bay, Indonesia. Biodiversitas, 20(7): 1873-1879, DOI: 10.13057/ biodiv/d200712
Schaduw, J.N.W. 2019. Community Structure and Canopy Coverage Percentage of Salawati Island Mangroves, Raja Ampat Regency, West Papua Province. Majalah Geografi Indonesia, 33(1): 26-34. https://doi.org/10.22146/mgi.34745
Shankar, V.S., Purti, N., Singh, R.P., Khudsar, F.A. 2020. Secondary Ecological Succession of Mangrove in the 2004 Tsunami Created Wetlands of South Andaman, India. In Mangrove Ecosystem Restoration. IntechOpen. DOI: 10.5772/intechopen.94113
Sofian, A., Kusmana, C., Fauzi, A., Omo Rusdiana. 2019. Evaluation of Angke Kapuk Jakarta Bay Mangrove Ecosystem and Its Consequences on Ecosystem Services. Jurnal Kelautan Nasional. http://dx.doi.org/10.15578/jkn.v15i1.7722
Sokolović, D., Bajric, M., Akay, A.E. 2022. Using GIS-based Network Analysis to Evaluate the Accessible Forest Areas Considering Forest Fires: The Case of Sarajevo. European Journal of Forest Engineering, 8(2):93-99. https://doi.org/10.33904/ejfe.1211687
Sraun, M., Bawole, R., Marwa, J., Sinery, A. S., Cabuy, R. L. 2022. Diversity, composition, structure and canopy cover of mangrove trees in six locations along Bintuni riverbank, Bintuni Bay, West Papua, Indonesia. Biodiversitas, 23(11): 5835–5843. https:// doi.org/10.13057/biodiv/d231137
Van Anh, B.K. 2023. Evaluation The Changing of Can Gio Vegetation Index By The Sentinel-2 Database From 2015 to 2023.
Yengoh, G. T., Dent, D., Olsson, L., Tengberg, A. E., Tucker, C. J. 2015. Use of the Normalized Difference Vegetation Index (NDVI) to assess Land degradation at multiple scales: current status, future trends, and practical considerations. Lund University Centre for Sustainability Studies - LUCSUS. Lund. Sweden.
Zhu, J.J., Yan, B. 2022. Blue carbon sink function and carbon neutrality potential of mangroves. Science of the Total Environment, 822: 153438. https://doi.org/ 10.1016/j.scitotenv.2022.153438

Details

Primary Language

English

Subjects

Forestry Sciences (Other)

Journal Section

Research Article

Authors

Tsaniya Nurafifah Suryana
0000-0003-3164-7467
Indonesia

Sherlina Purnamasari
0009-0005-8843-1810
Indonesia

Kevin Ewaldo ^*
0009-0006-7826-7188
Indonesia

Early Pub Date

June 5, 2024

Publication Date

June 27, 2024

Submission Date

November 24, 2023

Acceptance Date

February 26, 2024

Published in Issue

Year 2024 Volume: 10 Number: 1

DOI

https://doi.org/10.33904/ejfe.1395676

IZ

https://izlik.org/JA86BS43GJ

APA

Nurafifah Suryana, T., Purnamasari, S., & Ewaldo, K. (2024). Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI. European Journal of Forest Engineering, 10(1), 29-42. https://doi.org/10.33904/ejfe.1395676

AMA

1.Nurafifah Suryana T, Purnamasari S, Ewaldo K. Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI. Eur J Forest Eng. 2024;10(1):29-42. doi:10.33904/ejfe.1395676

Chicago

Nurafifah Suryana, Tsaniya, Sherlina Purnamasari, and Kevin Ewaldo. 2024. “Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI”. European Journal of Forest Engineering 10 (1): 29-42. https://doi.org/10.33904/ejfe.1395676.

EndNote

Nurafifah Suryana T, Purnamasari S, Ewaldo K (June 1, 2024) Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI. European Journal of Forest Engineering 10 1 29–42.

IEEE

[1]T. Nurafifah Suryana, S. Purnamasari, and K. Ewaldo, “Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI”, Eur J Forest Eng, vol. 10, no. 1, pp. 29–42, June 2024, doi: 10.33904/ejfe.1395676.

ISNAD

Nurafifah Suryana, Tsaniya - Purnamasari, Sherlina - Ewaldo, Kevin. “Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI”. European Journal of Forest Engineering 10/1 (June 1, 2024): 29-42. https://doi.org/10.33904/ejfe.1395676.

JAMA

1.Nurafifah Suryana T, Purnamasari S, Ewaldo K. Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI. Eur J Forest Eng. 2024;10:29–42.

MLA

Nurafifah Suryana, Tsaniya, et al. “Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI”. European Journal of Forest Engineering, vol. 10, no. 1, June 2024, pp. 29-42, doi:10.33904/ejfe.1395676.

Vancouver

1.Tsaniya Nurafifah Suryana, Sherlina Purnamasari, Kevin Ewaldo. Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI. Eur J Forest Eng. 2024 Jun. 1;10(1):29-42. doi:10.33904/ejfe.1395676

Creative Commons License

The works published in European Journal of Forest Engineering (EJFE) are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

Monitoring Mangrove Forest Degradation in Mangrove Nature Tourism Park Angke Kapuk, North Jakarta, Indonesia Using NDVI

Abstract

Keywords

Supporting Institution

Thanks

References

Details

Primary Language

Subjects

Journal Section

Authors

Early Pub Date

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite