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Perbandingan Metode Koreksi Topografi Pada Citra Satelit Landsat 8 Di Wilayah Gunung Telomoyo, Jawa Tengah Widhaningtyas, Tantri Utami; Putra, Akbar Cahyadhi Pratama; Fariz, Trida Ridho
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 17, No 2 (2020): July
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v17i2.22863

Abstract

Kondisi topografi mempengaruhi perbedaan besarnya energi sinar matahari yang ditangkap, dipantulkan balik dan diterima sensor penginderaan jauh. Hal ini membuat perlu dilakukan koreksi radiometri topografi pada proses pra pengolahan citra. Metode koreksi topografi terhitung banyak sedangkan penelitian terkait koreksi topografi ternilai cukup jarang dilakukan di Indoensia. Tujuan penelitan ini adalah membandingkan metode koreksi topografi. Adapun wilayah studi dalam penelitian ini adalah wilayah Gunung Telomoyo.Data yang digunakan dalam penelitian ini adalah citra satelit Landsat 8 dan DEMNAS. Adapun metode koreksi topografi yang diujikan dalam penelitian ini adalah metode koreksi topografi C Correction dan SCS+C.Hasil dari penelitian menunjukkan bahwa data DEMNAS dapat digunakan sebagai sumber data untuk koreksi radiometrik topografi. Metode koreksi topografi yang paling baik pada penelitian ini adalah metode SCS+C dilihat dari kenampakan visual dan memiliki nilai standar deviasi terendah dibandingkan dengan metode C Correction. Sehingga untuk wilayah dengan dominasi tutupan lahan hutan maka metode SCS+C bisa direkomendasikan. Koreksi topografi berguna dalam peningkatan akurasi perhitungan biomassa dan estimasi karbon di dataran tinggi menggunakan data penginderaan jauh.
PEMETAAN LAHAN KRITIS UNTUK KAJIAN PENATAAN RUANG DI KABUPATEN TABANAN Putra, Akbar Cahyadhi Pratama; Widhaningtyas, Tantri Utami; Fariz, Trida Ridho
Plano Madani : Jurnal Perencanaan Wilayah dan Kota Vol 13 No 2 (2024)
Publisher : Jurusan Teknik Perencanaan Wilayah dan Kota, Fakultas Sains dan Teknologi, Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jpm.v13i2.40000

Abstract

Tabanan Regency is one of the areas with a fairly rapid level of development through an increasing tourism and trade sector. Topographically, Tabanan Regency is also an area with a diverse topography. These two conditions make this area a potential critical land phenomenon. This study aims to map critical land in Tabanan Regency using spatial analysis based on GIS (Geographical Information System) and remote sensing and analyze the linkages of critical land with existing land use and analysis of spatial planning studies of the Spatial Planning of Tabanan Regency. The analysis used uses the overlay method of several thematic map parameters. To determine the value of each parameter using the scoring method. The results of the analysis show that in Tabanan Regency 60408.66 Ha or 71% is non-critical land, while 104.46 Ha or <1% is very critical land. The distribution of land use that has very critical land conditions is mostly dominated by existing land use settlements. In terms of spatial planning, the Spatial Planning zones of residential areas also fall into the category of very critical land conditions. It is necessary to regulate residential area zones to pay attention to the function of water catchment.
Mapping Age Of Oil Palm Trees Using Google Earth Engine Cloud Computing In Pt. Scp, Pulang Pisau Regency Putra, Akbar Cahyadhi Pratama; Widhaningtyas, Tantri Utami; Fariz, Trida Ridho; Prakoso, Aji
Jurnal Riset Perkebunan Vol. 4 No. 2 (2023): Jurnal Riset Perkebunan (JRP)
Publisher : Jurusan Budidaya Perkebunan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jrp.4.2.85-94.2023

Abstract

The aim of this research is to utilize remote sensing data and use the GEE platform to detect the age of oil palms using Landsat 8 OLI data at the Sebangau Kuala Plantation in Pulang Pisau Regency, Central Kalimantan. This research was analyzed using the Google Earth Engine using FCD (Forest Canopy Density) analysis. The results of the model correlation with the conditions of the year of planting in the field through ARESTA (area statement) are 0.63 or have a strong relationship. The RMSE (Root Mean Square Error) value of the FCD (Forest Canopy Density) model is 0.661, which means that the error value is small and can be used as a model reference. The use of remote sensing and GEE makes the process of mapping the age of oil palm more effective. The results of the research show that mapping the age of oil palm using GEE is very efficient based on computing time, so it is very suitable for use in oil palm plantations.