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All Journal Jurnal Fisika Unand G-Tech : Jurnal Teknologi Terapan
Meraty Ramadhini
Sumatera Institute Of Technology
Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Physics

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MODEL FOREST CANOPY DENSITY PADA CITRA SPOT-6 UNTUK ESTIMASI POTENSI TEGAKAN POHON DI KAWASAN PENGELOLAAN HUTAN LINDUNG BATU SERAMPOK LAMPUNG SELATAN Aulia Atmojo; Retno Triyani; Adam Irwansyah Fauzi; Muhammad Ulin Nuha; Meraty Ramadhini; Arif Rohman
Jurnal Fisika Unand Vol 13 No 6 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.13.6.771-783.2024

Abstract

Traditional forest inventory methods for obtaining tree stand data in the Batu Serampok Protected Forest Management Unit (KPHL) require significant time and resources. Therefore, remote sensing technology was employed to estimate the potential tree stand density. This study utilized the Forest Canopy Density (FCD) model and the Normalized Difference Vegetation Index (NDVI) from SPOT-6 satellite imagery to assess forest density. Field surveys were conducted to validate the image processing results. Statistical analysis, including correlation and linear regression tests, was performed. Forest density classes were converted into the number of trees per unit area using regression equations. Accuracy tests compared field data with estimated tree stand counts based on vegetation indices. The FCD correlation score was 0.85, higher than NDVI's 0.78, with linear regression results of 0.73 for FCD and 0.62 for NDVI. FCD demonstrated higher maximum accuracy (90.52%) compared to NDVI (84.08%), making it the preferred method for estimating tree stand potential. Overall, FCD reconstruction proved more accurate than NDVI, with the Batu Serampok KPHL predominantly characterized by moderate-density stands.
Updating the Coordinates of Itera Geodetic Benchmarks Based on the ITRF2020 Global Reference Frame Een Lujainatul Isnaini; Muhammad Deny Putra Pratama; Akbar Wahyu Nugraha; Meraty Ramadhini; Misfallah Nurhayati
G-Tech: Jurnal Teknologi Terapan Vol 10 No 4 (2026): G-Tech, Vol. 10 No. 4 October 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v10i4.11445

Abstract

The International Terrestrial Reference Frame (ITRF) is a global reference framework essential for maintaining the consistency and precision of positioning results in response to ongoing geodynamic changes. The adoption of ITRF2020 requires updates to geodetic control point coordinates to ensure compliance with international reference standards. This study aims to update the benchmark coordinates at Itera based on the ITRF2020 global reference frame. Observations were conducted using the static GNSS network method constrained to InaCORS and IGS reference stations. Observation data quality was evaluated using TEQC to assess multipath effects and ionospheric delay-related parameters. The data were then processed with GAMIT/GLOBK, and the resulting coordinates were transformed from ITRF2014 to ITRF2020. Benchmark points ITR01, ITR06, and ITR12 exhibited relatively poor quality control results, characterized by high multipath values and numerous IOD and cycle-slip occurrences. The coordinates of the 17 Benchmark points observed in 2025 were successfully updated. Horizontal positional precision ranged from 0.0001 to 0.041 m, while the largest vertical precision value was 0.337 m at ITR05. Coordinate changes between ITRF2014 and ITRF2020 were generally 0.001–0.002 m, except at ITR12, where the change reached 0.119 m, requiring further evaluation and re-observation. Improving network geometry is recommended to enhance positioning precision and support infrastructure development at Itera.
Co-Authors Adam Irwansyah Fauzi Akbar Wahyu Nugraha Arif Rohman Aulia Atmojo Een Lujainatul Isnaini Misfallah Nurhayati Muhammad Deny Putra Pratama Muhammad Ulin Nuha Retno Triyani