Abstract
The mangrove forest of TAHURA Ngurah Rai is one of the mangrove ecosystems in Bali that suffered damages and density changes due to natural factors and human activities. Remote sensing is one of the technology that can be used to estimate the density of mangrove canopy in TAHURA Ngurah Rai. The purpose of this study was to find the best vegetation index for estimating mangrove canopy density out and map it spatially using Sentinel-2A image. The method of this research is using vegetation index NDVI, EVI and mRE-SR to estimate mangrove canopy density. Field data was collected using Stratified Random and Proportional Sampling method by taking photo of the density of canopy using camera with Fish Eye lens on 34 plot. The results of this study show the satistic test of the linear model of the vegetation index with the mangrove canopy density value on the NDVI index (r = 0.8165, R2 = 0.6667, RMSE = ± 8.1508), EVI (r = 0.8597, R2 = 0.7390, RMSE = ± 7.8117), and mRE-SR (r = 0.9277, R2 = 0.8607, RMSE = ± 4.9571). The conclusion of this research is mRE-SR vegetation index able to map mangrove canopy density better than NDVI and EVI vegetation index with 86.07% accuracy. The mangrove spatial distribution generated from the mRE-SR model is 1002.22 Ha with 3.24 Ha categorized as very high density, 94.82 Ha categorized as high density, 333 Ha categorized as medium density, 402.38 Ha categorized as low density, and categorized as very low density is up to 168.76 Ha.
Highlights
Abstrak Hutan mangrove Taman Hutan Raya (TAHURA) Ngurah Rai merupakan salah satu ekosistem mangrove di Bali yang mengalami kerusakan dan perubahan kerapatan karena faktor alam dan aktivitas manusia
The results of this study show the satistic test of the linear model of the vegetation index with the mangrove canopy density value on the Normalized Difference Vegetation Index (NDVI) index (r = 0.8165, R2 = 0.6667, RMSE = ± 8.1508), Enhanced Vegetation Index (EVI) (r = 0.8597, R2 = 0.7390, RMSE = ± 7.8117), and Modified Red Edge-Simple Ratio (mRE-SR) (r = 0.9277, R2 = 0.8607, RMSE = ± 4.9571)
Analisis Spasial Perubahan Luasan Mangrove Akibat Pengaruh Limpasan Sedimentasi Tersuspensi Dengan Metode Penginderaan Jauh (Studi Kasus: Segara Anakan Kabupaten Cilacap, Jawa Tengah)
Summary
Hutan mangrove merupakan salah satu ekosistem penting di kawasan pesisir. Luas hutan mangrove di Indonesia tahun 2010 seluas 3.112.989 ha atau 22,6% dari luasan mangrove dunia sehingga menjadikan Indonesia sebagai negara pemilik hutan mangrove terluas (Giri et al, 2011). Metode pengukuran kerapatan secara langsung ke lapangan menghasilkan akurasi yang tinggi akan tetapi apabila dilakukan pada kawasan mangrove yang luas maka menjadi tidak efektif dan efisien dari segi waktu dan biaya (Hirata et al, 2014). Mengkombinasikan data dari survei lapangan dengan data penginderaan jauh dianggap metode yang ideal dan praktis untuk melihat distribusi spasial kerapatan Mangrove (Heumann, 2011). Pemanfaatan data penginderaan jauh untuk estimasi kerapatan mangrove di TAHURA Ngurah Rai pernah dilakukan dengan citra Landsat TM, ETM+, dan 8 OLI/TIRS oleh Nuarsa et al, (2005), Sugianthi et al, (2012) dan Karang dkk. Tujuan dari penelitian ini adalah untuk mengetahui indeks vegetasi terbaik dalam menjelaskan kerapatan tajuk mangrove dari indeks NDVI, EVI, dan mRE-SR serta mengetahui distribusi spasial kerapatan mangrove di TAHURA Ngurah Rai
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