Analysis of land use in the Banyuasin district using the image Landsat 8 by NDVI method

Abstract

Abstract. Land use is one important factor in the planning of infrastructure development. The development that does not consider land use may cause an impact to environmental degradation. In minimizing the time and costs, the introduction of land use in an area could be done with remote sensing technology, one of the methods that could be used is the Normalized Different Vegetation Index (NDVI). NDVI is a combination of a multi-spectral band by using a wavelength Red and Near Infra-Red (NIR) on image Landsat 8 to estimate the vegetation cover. Than each classification of vegetation density will provide the reflectance value. In this study, the land cover classification result based on vegetation density by NDVI method, namely 0.5120 -0.3706 for the low-density vegetation area; 0.3706 -0.6149 for the moderate density vegetation area; and 0.6149 -0.8677 for the high-density vegetation area. While the overall accuracy percentage of land use classification was 80%.

The analysis of land use weights on road traces selection

“…The goal of this study is to obtain the weight of land use from stakeholders in the selection of road traces especially in swamp areas, where the classification of land use taken is based on previous research results that divide land use in swamp areas into 6 classes, namely forest, plantation, rice field, shrubs/ bushes, settlements, and water body [1] [2] [13]. This research is a follow-up study to find the suitability of road trace in swamp area which has been done by previous researcher so that the land use used refers to the result of the research.…”

“…Meanwhile, in natural conditions before it is opened, swamps are covered with a variety of aquatic plants, shrub or forest vegetation, the soil is water-saturated or has shallow groundwater or is inundated [8]. While in some swampy areas land use is dominated by agriculture, plantations, and forests such as swamp areas in Banyuasin Regency [1] [2] [13]. At this time development in the swamp area is more massively done considering the land in the increasingly limited productive areas and the government continues to develop swamp areas both in the agricultural sector, plantations, and fisheries [9], so to support the development in this swamp area of course road infrastructure is needed.…”

“…The existence of spatial layout will affect the class of road, where the construction of new roads should not spoil the existing spatial layout. In swamp areas, land use is more dominated by agriculture, plantations, and forests such as the presence of swamp areas in Banyuasin District [1][2] [13]. The development of swamp areas that are currently being upgraded requires road infrastructure, so it is necessary to undertake a study of the selection of road traces based on existing land use, then in order to gain priority of the land use based on the importance level on the selection of road traces opinion from stakeholders is required, so the selection of road traces in swamp areas can be more economical.…”

IDENTIFIKASI KERENTANAN BANJIR BANDANG MENGGUNAKAN METODE AHP (ANALYTICAL HIERARCHY PROCESS) BERBASIS SIG DI SUB DAS AIR MULAK, KABUPATEN LAHAT (Identification of Flash Flood Vulnerability Using GIS-Based AHP (Analytical Hierarchy Process) Method in Air Mulak Sub-watershed, Lahat Regency)

“…Nilai NDVI 0,1 -0,7 mempresentasikan vegetasi rendah -sedang dan nilai > 0,7 menunjukkan tingkat kerapatan vegetasi yang tinggi. Dalam hal ini, nilai yang besar terdapat perbedaan yang besar antara gelombang Red dan NIR yang menunjukkan tingginya aktifitas fotosintesis, sebaliknya nilai NDVI yang rendah menunjukkan terdapat sedikit perbedaan antara gelombang Red dan NIR karena aktifitas fotosintesis yang sedikit atau sedikitnya reflectance cahaya NIR, seperti pantulan air dari gelombang NIR sangat sedikit (Indrayani et al, 2017).…”

Utilization of Remote Sensing Technology for Flood Distribution in Palembang City Web-based

“…Several studies use land use factors, rainfall, land slope, and topography in determining the flood-prone areas [5][12] [13]. Changes in land use certainly have a connection with the intensity of floods that occur in the city of Palembang, where the less air catchment areas will cause an increase in the intensity of floods that occur [4]. Likewise rainfall, an increase of rainfall in an area will cause high flood susceptibility in that area [8] [12].…”