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Erschienen in: Landscape and Ecological Engineering 2/2024

26.02.2024 | Technical report

Assessing the characteristics and seasonal changes of mangrove forest in Dong Rui commune, Quang Ninh Province, Vietnam based on multispectral UAV data

verfasst von: Trung Dung Ngo

Erschienen in: Landscape and Ecological Engineering | Ausgabe 2/2024

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Abstract

Mangroves are estuarine and coastal ecosystems strongly influenced by the local tidal regime and climate, so there is a strong variation between seasons of the year. Assessing seasonal characteristics and fluctuations allows for an understanding of changes in mangrove ecosystems during each period of the year. In this study, we used images collected from the Multispectral Unmanned Aerial Vehicle (UAV) to determine the current status and fluctuations between summer and winter of the mangrove area of Dong Rui commune according to five vegetation indicators, including the Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Enhanced Vegetation Index (EVI), Visible Atmospherically Resistant Index (VARI), and Green Chlorophyll Index (GCI). The results show that the current state of mangroves in the UAV flight area is relatively good, with the value of vegetation indicators at a high level. In the summer, the value of vegetation indicators is stable and higher than in the winter. In low-tide areas, vegetation index values fluctuate higher than in high-tide areas. Based on the results of the analysis of vegetation indicators, the degree of correlation between NDVI and the remaining four values was determined. The results showed that the correlation coefficient was at a high level, with the highest being between NDVI and SAVI with a correlation coefficient of approximately equal to 1, followed by NDVI and EVI with a correlation coefficient above 0.9. We propose that UAV is an effective tool for monitoring and assessing fluctuations, serving the management and conservation of mangrove ecosystems.

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Literatur
Zurück zum Zitat Abdurahmanov I (2016) Assessment of NDVI and SAVI vegetation indices potential to monitor grazing impact in a rangeland ecosystem. Geoinfomatics Int 12:9–15 Abdurahmanov I (2016) Assessment of NDVI and SAVI vegetation indices potential to monitor grazing impact in a rangeland ecosystem. Geoinfomatics Int 12:9–15
Zurück zum Zitat Asy’Ari R, Rahmawati A, Sa’diyya N, Gustawan A, Setiawan Y, Zamani N, Pramulya R (2022) Mapping mangrove forest distribution on Banten, Jakarta, and West Java Ecotone Zone from Sentinel-2-derived indices using cloud computing based Random Forest. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan J Nat Resour Environ Manag 12:97–111. https://doi.org/10.29244/jpsl.12.1.97-111CrossRef Asy’Ari R, Rahmawati A, Sa’diyya N, Gustawan A, Setiawan Y, Zamani N, Pramulya R (2022) Mapping mangrove forest distribution on Banten, Jakarta, and West Java Ecotone Zone from Sentinel-2-derived indices using cloud computing based Random Forest. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan J Nat Resour Environ Manag 12:97–111. https://​doi.​org/​10.​29244/​jpsl.​12.​1.​97-111CrossRef
Zurück zum Zitat Berlanga-Robles C, Ruiz-Luna A, Nepita M (2018) Seasonal trend analysis (STA) of MODIS vegetation index time series for the mangrove canopy of theTeacapan-Agua Brava lagoon system, Mexico. Gisci Remote Sens 56:338–361CrossRef Berlanga-Robles C, Ruiz-Luna A, Nepita M (2018) Seasonal trend analysis (STA) of MODIS vegetation index time series for the mangrove canopy of theTeacapan-Agua Brava lagoon system, Mexico. Gisci Remote Sens 56:338–361CrossRef
Zurück zum Zitat Eswaran Y, Dharanirajan K, Tamil S, Karpoorasundarapandian (2014) Evaluation of vegetation density of the Mangrove forest in South Andaman Island using Remote Sensing and GIS techniques. Int Res J Environ Sci 3:19–25 Eswaran Y, Dharanirajan K, Tamil S, Karpoorasundarapandian (2014) Evaluation of vegetation density of the Mangrove forest in South Andaman Island using Remote Sensing and GIS techniques. Int Res J Environ Sci 3:19–25
Zurück zum Zitat Hese S, Thiel C, Henkel A (2019) UAV based multi seasonal deciduous tree species analysis in the hainich national park using multi temporal and point cloud curvature features. Int Arch Photogramm Remote Sens Spatial Inf Sci XLII-2/W13:363–370CrossRef Hese S, Thiel C, Henkel A (2019) UAV based multi seasonal deciduous tree species analysis in the hainich national park using multi temporal and point cloud curvature features. Int Arch Photogramm Remote Sens Spatial Inf Sci XLII-2/W13:363–370CrossRef
Zurück zum Zitat Lorenz S, Zimmermann R, Gloaguen R (2017) The need for accurate geometric and radiometric corrections of drone-borne hyperspectral data for mineral exploration: MEPHySTo—a toolbox for pre-processing drone-borne hyperspectral data. Remote Sens. https://doi.org/10.3390/rs9010088CrossRef Lorenz S, Zimmermann R, Gloaguen R (2017) The need for accurate geometric and radiometric corrections of drone-borne hyperspectral data for mineral exploration: MEPHySTo—a toolbox for pre-processing drone-borne hyperspectral data. Remote Sens. https://​doi.​org/​10.​3390/​rs9010088CrossRef
Zurück zum Zitat Mallmann CL, Zaninni AF, Filho WP (2020). Vegetation index based in unmanned aerial vehicle (UAV) to improve the management of invasive plants in protected areas, Southern Brazil. In: 2020 IEEE Latin American GRSS & ISPRS remote sensing conference (LAGIRS), pp 66–69 Mallmann CL, Zaninni AF, Filho WP (2020). Vegetation index based in unmanned aerial vehicle (UAV) to improve the management of invasive plants in protected areas, Southern Brazil. In: 2020 IEEE Latin American GRSS & ISPRS remote sensing conference (LAGIRS), pp 66–69
Zurück zum Zitat Modi A, Das P (2019) Multispectral imaging camera sensing to evaluate vegetation index from UAV. 8:30–42 Modi A, Das P (2019) Multispectral imaging camera sensing to evaluate vegetation index from UAV. 8:30–42
Zurück zum Zitat Mondal B, Das R (2022) Mangrove forest dynamics and vulnerability of Indian Sundarban: a geospatial analysis Mondal B, Das R (2022) Mangrove forest dynamics and vulnerability of Indian Sundarban: a geospatial analysis
Zurück zum Zitat Ngo D, Nguyen H, Dang C, Kolesnikov S (2020) UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam. In: E3S web conf., vol 203. p 03006 Ngo D, Nguyen H, Dang C, Kolesnikov S (2020) UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam. In: E3S web conf., vol 203. p 03006
Zurück zum Zitat Omar H, Misman MA, Musa S (2019) GIS and remote sensing for mangroves mapping and monitoring, pp 1–15) Omar H, Misman MA, Musa S (2019) GIS and remote sensing for mangroves mapping and monitoring, pp 1–15)
Zurück zum Zitat Pellegrini J, Soares M, Chaves F, Estrada G, Cavalcanti V (2009) A method for the classification of mangrove forests and sensitivity/vulnerability analysis. J Coast Res 56:443–447 Pellegrini J, Soares M, Chaves F, Estrada G, Cavalcanti V (2009) A method for the classification of mangrove forests and sensitivity/vulnerability analysis. J Coast Res 56:443–447
Zurück zum Zitat Rouse J, Haas R, Schell J, Deering D (1974) Monitoring vegetation systems in the great plains with ERTS. NASA special publication, 1 Rouse J, Haas R, Schell J, Deering D (1974) Monitoring vegetation systems in the great plains with ERTS. NASA special publication, 1
Zurück zum Zitat Souza B, Cantalice W, Braga C, Silva M, Silva E (2022) Response of the EVI Vegetation Index to precipitation anomalies in the State of Paraíba. J Hyperspectr Remote Sens 12:10–19CrossRef Souza B, Cantalice W, Braga C, Silva M, Silva E (2022) Response of the EVI Vegetation Index to precipitation anomalies in the State of Paraíba. J Hyperspectr Remote Sens 12:10–19CrossRef
Zurück zum Zitat Sremongkontip S, Yousif, Hussin Y, Groenendijk L (2000) Detecting changes in the mangrove forests of southern Thailand using remotely sensed data and GIS. 33 Sremongkontip S, Yousif, Hussin Y, Groenendijk L (2000) Detecting changes in the mangrove forests of southern Thailand using remotely sensed data and GIS. 33
Zurück zum Zitat Taylor J R. (1997). An introduction to error analysis: the study of uncertainties in physical measurements. Sausalito Taylor J R. (1997). An introduction to error analysis: the study of uncertainties in physical measurements. Sausalito
Zurück zum Zitat Thi Thuy Van T, Anh LT, Thuy HLT, Bien LB (2017) Bioclimate and mangrove development in Thai Binh Coastal Zone. VNU J Sci Earth Environ Sci 33(1):90–99 Thi Thuy Van T, Anh LT, Thuy HLT, Bien LB (2017) Bioclimate and mangrove development in Thai Binh Coastal Zone. VNU J Sci Earth Environ Sci 33(1):90–99
Zurück zum Zitat Webber M, Calumpong H, Ferreira B, Granek E, Green S, Ruwa R, Soares M (2016). Mangroves UN world ocean assessment, p 18 Webber M, Calumpong H, Ferreira B, Granek E, Green S, Ruwa R, Soares M (2016). Mangroves UN world ocean assessment, p 18
Metadaten
Titel
Assessing the characteristics and seasonal changes of mangrove forest in Dong Rui commune, Quang Ninh Province, Vietnam based on multispectral UAV data
verfasst von
Trung Dung Ngo
Publikationsdatum
26.02.2024
Verlag
Springer Japan
Erschienen in
Landscape and Ecological Engineering / Ausgabe 2/2024
Print ISSN: 1860-1871
Elektronische ISSN: 1860-188X
DOI
https://doi.org/10.1007/s11355-024-00595-9

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