ANALISIS TEMPORAL PERUBAHAN HUTAN MANGROVE MENGGUNAKAN CITRA SATELIT SENTINEL-2 (Studi Kasus di Pulau Tanakeke, Kabupaten Takalar)

Waru, Andi Tenri; Bayanuddin, Athar Abdurrahman; Nugroho, Ferman Setia; Rukminasari, Nita

doi:10.24895/sng.2020.0-0.1193

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Sentinel-2 memiliki keunggulan berupa resolusi temporal tinggi karena citra terbaru tersedia setiap 5 hari sekali, resolusi spasial moderate yaitu hingga 10 meter untuk spektrum tampaknya dan data terbuka untuk publik (European Space Agency, 2012). Keunggulan tersebut dapat dimanfaatkan untuk pemantauan kawasan hutan khususnya bagi pengelola yang ingin memantau secara berkala (Waru et al, 2021).…”

Section: Pendahuluanunclassified

Mapping of Teak (Tectona grandis) Growing Stock Volume based on Sentinel-2 Imagery Classification

Larasati

2022

JSS

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Remote sensing utilization for plantation forests management in Java was not yet widely used, whereas the ability of remote sensing data for land cover monitoring and forest resource mapping has been developed, ranging from low resolution imagery for global areas to moderate and high resolution for small scale areas. Data availability and human resources often become obstacles in the application. The emergence of Sentinel satellite images becomes an alternative because the dataset is free access and has moderate spatial resolution and high temporal resolution. This study aims to map the growing stock volume in UGM Educational and Training Forest using Sentinel-2 imagery. Three kinds of classification method based on machine learning algorithms i.e. Random Forest, K-NN and SVM were compared for land cover classification. An NDVI algorithm was also used for mapping the spectral value distribution. Moreover, a stand age distribution which obtained from KHDTK UGM manager were also map. A stand classification map based on land cover types, NDVI value and stand age distribution was created as a basis of growing stock volume estimation. The analysis show that the growing stock volume can be estimated using these method with RMSE 177,8 m3 and MAPE 21,9 m3.

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Section: Pendahuluanunclassified

Mapping of Teak (Tectona grandis) Growing Stock Volume based on Sentinel-2 Imagery Classification

Larasati

2022

JSS

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“…Jan W. Hatulesila in 2019 research to analyze the greenery index value (NDVI) in the spatial pattern of Ambon city, Maliku province with a greenness index value (NDVI) at nine sampling locations of Ambon City green open space for vegetation cover area is 61.58 ha or 58.31%, built area 39.63 ha or 37.52% and vacant land 4.40 ha or 4.17% (Hatulesila et al, 2019). Another study was conducted by Andi T. Waru for Temporal Analysis of Mangrove Forest Change Using Sentinel-2 Satellite Imagery Case Study on Tanakeke Island, Takalar Regency with an overall accuracy of mangrove forest classification results in 2016 and 2019 of 91% and 98%, respectively (Waru et al, 2021).…”

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confidence: 99%

Analysis of Changes in Green Land Cover of North Minahasa Gold Mine With Landsat 8 Images using the Normalized Difference Vegetation Index

Suriani¹,

Devita²,

Bahat³

et al. 2021

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Mining is an activity of extracting non-renewable natural resources, including coal, whose management cannot be separated from the company. In realizing mining activities, they must be managed optimally, so it is necessary to supervise and monitor their activities effectively and efficiently. North Minahasa Mining Toka Tindung is a gold mine that has been operating since 2009, with the first gold production in 2011, and has gold reserves of 122 tons at the end of 2020. Toka Tindung has a mining area of 8,986 hectares (400 thousand square km), or 1.3 percent of the planned contract of work which is 741,000 hectares. This research was conducted by monitoring mining land cover using remote sensing technology based on Landsat 8 satellite imagery. related to vegetation. NDVI has a range of values between -1 to +1, the results of the transformation have different percentages of land use. The greater or positive the NDVI value, the better the vegetation density in the area. This study aims to analyze changes in green land cover in the mining area of North Minahasa in 2013 to 2021 based on variations in the greenness of the vegetation index. The results of the study obtained that Variations in the greenery index of vegetation ranged from 0.0 - 0.4 in 2013 and -0.2 - 0.6 in 2021. Where the mining area environment in 2013 had a vegetation class in the form of rocks, vacant land, meadows, shrubs and dense forests and in 2021 had a vegetation class in the form of rocks, vacant land, grasslands, shrubs, dense forests and water. In 2021 it has a vegetation value of -0.2 whose vegetation class is water due to the loss of Ground Cover Vegetation due to digging too deep to form ponds. on the ground surface. Thus the level of vegetation density in the mining area of North Minahasa has changed from 2013 to 2021. The area without vegetation has generally increased. Replacing the green area and the area with vegetation cover, dense green land cover has decreased.

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ANALISIS TEMPORAL PERUBAHAN HUTAN MANGROVE MENGGUNAKAN CITRA SATELIT SENTINEL-2 (Studi Kasus di Pulau Tanakeke, Kabupaten Takalar)

Cited by 2 publications

References 8 publications

Mapping of Teak (Tectona grandis) Growing Stock Volume based on Sentinel-2 Imagery Classification

Mapping of Teak (Tectona grandis) Growing Stock Volume based on Sentinel-2 Imagery Classification

Analysis of Changes in Green Land Cover of North Minahasa Gold Mine With Landsat 8 Images using the Normalized Difference Vegetation Index

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