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INDONESIA
Jurnal Penginderaan Jauh Indonesia
Published by Masyarakat Ahli Penginderaan Jauh Indonesia
ISSN : -     EISSN : 26570378     DOI : -
Core Subject : Science, Agriculture, Social, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science
Jurnal Penginderaan Jauh Indonesia (JPJI) adalah media komunikasi dan diseminasi hasil penelitian, kajian dan pemikiran terkait teori, sains, dan teknologi penginderaan jauh serta pemanfaatannya yang diterbitkan oleh Masyarakat Ahli Penginderaan Jauh Indonesia (MAPIN). Fokus jurnal mencakup penginderaan jauh untuk objek dipermukaan bumi, baik di darat, laut maupun atmosfer. JPJI terbit 2 kali setahun, pada bulan Februari dan Agustus.
Arjuna Subject : -
Articles 3 Documents
 1 
Search results for , issue "Vol 2 No 1 (2019)" : 3 Documents clear
Analisis Land Surface Emissivity menggunakan Data NDVI Landsat 8 dan Pengaruhnya terhadap Formasi Land Surface Temperature di Wilayah Kota Kendari Nurgiantoro, Nurgiantoro; Aris, Armayanti
Jurnal Penginderaan Jauh Indonesia Vol 2 No 1 (2019)
Publisher : Masyarakat Ahli Penginderaan Jauh Indonesia (MAPIN) /Indonesian Society of Remote Sensing (ISRS)

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Abstract

Land surface emissivity (LSE) is an important part of urban environment studies, because these parameters are closely related to the material composition of an urban area, and also main role in analysis of land surface temperature (LST). The remote sensing approach using sensor OLI and TIRS onboard Landsat 8 will make it easier to find out the results. The goal of this study is to analyze the variation of LSE and its effect on LST formation in Kendari region within the last 5 years from 2014 and 2019 based on NDVI thresholds method (NDVITHM). The results show LSE values in the study area an average of ? > 0.96 in the emissivity unit. Whereas the NDVI has an average of 0.64 and 0.74 for 2014 and 2019, respectively. Formation of LST an average of 31.74 °C in 2014, and 23.47 °C in 2019 or approximately 7 °C difference from five years ago.
Analisis Pengaruh Tutupan Lahan terhadap Distribusi Suhu Permukaan: Kajian Urban Heat Island di Jakarta, Bandung dan Surabaya Muzaky, Handis; Jaelani, Lalu Muhamad
Jurnal Penginderaan Jauh Indonesia Vol 2 No 1 (2019)
Publisher : Masyarakat Ahli Penginderaan Jauh Indonesia (MAPIN) /Indonesian Society of Remote Sensing (ISRS)

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Abstract

In 2015, more than half of Indonesia's population lived in urban areas that caused the growth of impervious surface area. The impervious surface is high heat-absorbance. Thus, the air temperature in this area is higher compared to the surrounding area. This phenomenon is known as Urban Heat Island (UHI). To examine the impact of UHI, continuous temperature monitoring is needed. Temperature monitoring using weather stations has limitations in terms of coverage area, then remote sensing methods could be useful to obtain data with sufficient spatial distribution. This study examines UHI phenomena in three densest cities in Indonesia (Jakarta, Bandung, and Surabaya) using Landsat 8 OLI/TIRS imagery. Estimation of Land Surface Temperature (LST) using the Single Channel (SC) algorithm and land cover identification using three spectral indices: Vegetation Difference Index (NDVI), Modified Normalized Difference Water Index (MNDWI), and Visible Red Near Infrared Build-Up Index (VrNIR-BI). The average surface temperature in Jakarta, Bandung, and Surabaya were 35.21°C, 28.52°C, and 31.69°C respectively. The relationship between LST and land cover was analyzed using Pearson product-moment correlation. The correlation value between LST and NDVI in Jakarta, Bandung, and Surabaya were -0.49; -0,51; and -0.49 while between LST and VrNIR-BI were 0.49; 0.51; and 0.48.
IDENTIFIKASI FASE PERTUMBUHAN TANAMAN JAGUNG MENGGUNAKAN CITRA SAR SENTINEL-1A (STUDI KASUS: KECAMATAN GERUNG, LOMBOK BARAT, NTB) Wulandari, Baiq Arasya; Jaelani, Lalu Muhamad
Jurnal Penginderaan Jauh Indonesia Vol 2 No 1 (2019)
Publisher : Masyarakat Ahli Penginderaan Jauh Indonesia (MAPIN) /Indonesian Society of Remote Sensing (ISRS)

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Abstract

Accurate land resource information is needed to support agricultural management planning in Indonesia. Mapping regarding corn land needs to be performed because corn is one of the commodities that are highly required both for food and as a primary material for industry. Cornland mapping and identification is performed by monitoring its growth phase. By considering the area and spatial distribution of agricultural land, remote sensing becomes an efficient and accurate monitoring solution. In the tropical region, optical remote sensing is often obstructed by clouds; thus, a Synthetic Aperture Radar (SAR) sensor that has the ability to penetrate clouds and can operate in rainy weather conditions is required. For this reason,  time-series SAR Sentinel-1A radar image data recorded over Gerung District, West Lombok, in April 2018 to April 2019 were used for corn farms monitoring. The growth phase classification is carried out by the supervised classification method using the RGB: VV, VH, and cross-ratio of VV/VH composites. By analyzing the backscattering value (?°; backscatter), identification of corn stands, and the growth phase pattern of corn plants can be performed. The coefficient value of ?° of corn plant was known to be in the range of -14 to -23 dB for VH polarization and -8 to -14 dB for VV polarization with kappa accuracy of 67%.

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