2017
DOI: 10.22146/jik.28277
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Penggunaan Citra Satelit untuk Mengetahui Persebaran Dacrycarpus imbricatus (Blume) de Laub. di Bukit Tapak, Cagar Alam Batukahu Bali

Abstract: Pleaides image is an important asset to obtain data and information with regard to the structure of the vegetation in the forest

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Cited by 4 publications
(4 citation statements)
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“…Land-use changes were identified by interpreting verified images which were obtained from Google Earth, such as Landsat/Copernicus images (in 1998 and 2008) and CNES/Airbus images (in 2018). Image interpretation was conducted by using the following parameters, namely, tone and color, texture, shape, size, pattern, location, shadow, and association (Iryadi et al, 2017). Interpretation on images was adjusted to modified land-use classifications proposed by Anderson et al (1976) which consist of industrial, settlement, commercials and services, and non-built-up area.…”
Section: Figure 2 Research Analysis Flow Chartmentioning
confidence: 99%
“…Land-use changes were identified by interpreting verified images which were obtained from Google Earth, such as Landsat/Copernicus images (in 1998 and 2008) and CNES/Airbus images (in 2018). Image interpretation was conducted by using the following parameters, namely, tone and color, texture, shape, size, pattern, location, shadow, and association (Iryadi et al, 2017). Interpretation on images was adjusted to modified land-use classifications proposed by Anderson et al (1976) which consist of industrial, settlement, commercials and services, and non-built-up area.…”
Section: Figure 2 Research Analysis Flow Chartmentioning
confidence: 99%
“…Kondisi pH tanah di Bali dan Lombok yang agak masam ternyata tidak menghambat pertumbuhan pranajiwa. Kondisi pH tanah di CAB Bali sesuai dengan hasil temuan (Iryadi et al, 2017). Begitu juga halnya pH tanah di lokasi TNGR Lombok berada sejalan dengan temuan Dharmawibawa et al (2015) yang menyatakan bahwa pH tanah di TNGR pada umumnya adalah agak masam.…”
Section: Analisis Dataunclassified
“…Composite band merupakan penentuan kombinasi tiga kanal warma untuk mendapatkan informasi atau identifikasi citra melalui kemampuan interpretasi operator (Interpreter). Untuk mengenali objek yang terdapat pada tampilan citra seorang interpreter dapat melihat kunci interpretasi yang terdiri dari tekstur, warna, bentuk, ukuran, bayangan, pola, dan asosiasi (Iryadi et al, 2017). Untuk memaksimalkan proses interpretasi diperlukan referensi data lapangan sebagai validasi dari hasil interpretasi.…”
Section: Composite Bandunclassified