Monitoring Vegetation Change Using Forest Cover Density Model

Andini, Windi Tri; Nurlina, Nurlina; Ridwan, Ichsan

doi:10.12912/27197050/190928

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Tytuł artykułu

Monitoring Vegetation Change Using Forest Cover Density Model

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Andini Windi Tri , Nurlina Nurlina , Ridwan Ichsan

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DOI

10.12912/27197050/190928

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Abstrakty

The regional ecological environment has become a significant subject of study due to the dynamics of the ecosystem, which is represented by vegetation, under the influence of human activities. The objective of this research is to demonstrate the implementation and effectiveness of the forest canopy density (FCD) model in generating a map that illustrates changes in forest canopy density using multitemporal remote sensing data in Tabunio watershed. The methodology relies on vegetation index, including the normalized difference vegetation index (NDVI), shadow index (SI), and bare soil index (BI), to generate a composite vegetation index (CVI). FCD uses multitemporal remote sensing data from Landsat TM images from 2005 to 2020, which have been utilized to accomplish multisource categorization. The findings indicated that the vegetation coverage of the Tabunio watershed presented a predominant pattern of high coverage in the northeastern and eastern regions, whereas most areas of the western region had low coverage; (2) vegetation cover from 2005 to 2020 is dominated by sparse to very dense vegetation cover classes; (3) changes in vegetation cover over two decades are very significant. The expansion of plantation land in 2005 caused a lot of non-vegetated land, which gradually changed in the following year period along with plant growth. At the end of 2020, the percentage of very dense vegetation became increasingly dominant, which was around 42 percent. The results of the study indicate the three biophysical index (NDVI, SI, and BI) used in this model approach were appropriate for precisely discriminating across all canopy density classes, as seen by the overall producer’s accuracy of 81.3%. FCD model in multitemporal data can helps in the early identification of deforestation or forest degradation activities. Furthermore, the FCD model may have certain constraints, as it requires an understanding of ground conditions to establish threshold values for each class.

Słowa kluczowe

forest cover density change detection multitemporal Tabunio Watershed

Wydawca

Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej
Lublin University of Technology
WNGB Wydawnictwo Naukowe

Czasopismo

Ecological Engineering & Environmental Technology

Rocznik

2024

Tom

Vol. 25, iss. 9

Strony

369--378

Opis fizyczny

Bibliogr. 47 poz., rys., tab.

Twórcy

autor

Andini Windi Tri

1811014320001@mhs.ulm.ac.id

Physics Study Program, Mathematics and Natural Sciences Faculty, Universitas Lambung Mangkurat. Jl. Ahmad Yani Km. 36 Banjarbaru, Kalimantan Selatan, Indonesia

https://orcid.org/0009-0002-7263-4208

autor

Nurlina Nurlina

nurlina_abdullah@ulm.ac.id

Physics Study Program, Mathematics and Natural Sciences Faculty, Universitas Lambung Mangkurat. Jl. Ahmad Yani Km. 36 Banjarbaru, Kalimantan Selatan, Indonesia

https://orcid.org/0000-0002-9563-1555

autor

Ridwan Ichsan

ichsanridwan@ulm.ac.id

Physics Study Program, Mathematics and Natural Sciences Faculty, Universitas Lambung Mangkurat. Jl. Ahmad Yani Km. 36 Banjarbaru, Kalimantan Selatan, Indonesia

https://orcid.org/0000-0002-8739-5038

Bibliografia

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Bibliografia

Identyfikator YADDA

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