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All Journal Indonesian Journal of Geography Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Alvidita Beatrix Indayani
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Computer Science & IT Earth & Planetary Sciences

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Testing a detailed classification scheme for land-cover/ land-use mapping of typical Indonesian landscapes: case study of Sarolangun, Jambi and Salatiga, Central Java Projo Danoedoro; Irvan Nurrahman Ananda; Candra Sari Djati Kartika; Assyria F Umela; Alvidita Beatrix Indayani
Indonesian Journal of Geography Vol 52, No 3 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.50080

Abstract

Land-cover/land-use (LCLU) mapping is an important activity to produce very useful information to support  various sectors, such as land supply, spatial planning, disaster mitigation, and agricultural development.  In Indonesia, a LCLU classification scheme has been developed at a scale of 1: 50,000, but it still requires an evaluation due to its advantages and limitations. This study tried to apply a classification scheme for LCLU-based on SNI 7645-1 2014 for two regions in Indonesia with different landscape characteristics, i.e.  Sarolangun in Jambi and Salatiga and surroundings in Central Java.. The trial was conducted by developing methods of Landsat-8 satellite image analysis and interpretation combining digital processing and manual delineation. Based on this research, a number of 52 LCLU classes were identified  in Sarolanguni and 32 classes were found in Salatiga and surrounding areas. The validation showed that the LCLU map of Jambi region reached 80.75.% of total accuracy, while that of Salatiga and surroundings reached 88.7%.  Different accuracies found related to the number of classes produced, the pattern of relationship between LCLU with the existing landform characteristics, and the quality of images due to cloud cover. 
ANALISIS SPEKTRAL DARI SERAPAN DAN PANTULAN DAUN LAMUN MENGGUNAKAN SPEKTRORADIOMETER TRIOS-RAMSES DI NUSA LEMBONGAN DAN PEMUTERAN, BALI Alvidita Beatrix Indayani
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 17 Nr. 2 Desember 2020
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2020.v17.a3384

Abstract

Knowledge and technological developments are needed to achieve the 14th sustainable development goals (SDGs), namely life below water.One of the developments in remote sensing technology is hyperspectral data for spectrometry analysis using underwater sensors. This study aims to determine the absorption and reflectance features as well as the specific location of the spectral channels of various seagrass leaf conditions. Spectral measurements were carried out on three species of seagrass, namely Cymodocea rotundata (Cr), Thalassia hemprichii (Th), and Enhalus acoroides (Ea) along with the physical conditions attached to seagrass leaves (green, yellow to brown, black, and covered leaves by epiphytic organisms) in shallow sea waters. Spectral measurements using a spectroradiometer equipped with an irradiance hyperspectral radiometer sensor from TriOS-RAMSES, have a spectral range of 320-950 nm and a spectral channel width of 3.3 nm. The measurement process is done with a Field of View (FOV) angle of seven degrees (70). The continuum removal algorithm is used to identify the spectral response features of various seagrass leaf conditions. The results show the location of absorption channels and reflections close together. The location of the absorption feature occurs in the blue channel region (463-493 nm) and the red-red edge channel (671-674 nm). The location of the reflected peaks in the green channel (560-577 nm) and red channel (648 nm) of various seagrass leaf conditions.
Co-Authors Assyria F Umela Candra Sari Djati Kartika Irvan Nurrahman Ananda Projo Danoedoro