Biomass burning in an area will leave traces of fire such as charcoal, ash, and outcrop of land in the area known as the burned area. The burnt area is thought to have a relatively higher temperature than the surrounding area were not burned. This study aims to determine the characteristics of the temperature of the burned area using remote sensing data of Landsat-8 TIRS (Thermal Infra Red Sensor). The selected research locations are parts of Central Kalimantan and South Kalimantan incoming Landsat scene-8 path / row 118/062. The research method is a data processing Landsat-8 TIRS (channels 10 and 11) to produce an image of the brightness temperature as well as data analysis includes a statistical analysis of central tendency of the values of the brightness temperature of the sample (calculation of mean and standard deviation) as well as distance calculation (D-value). The results showed that the brightness temperature data either channel 10 or channel 11 Landsat-8 TIRS has good ability in separating the burned area and bare soil, but has a low ability to separate the burned areas and settlements. Thus, the brightness temperature parameter cannot be used as a single variable for the extraction of burned areas in a scene image of a single acquisition. Abstrak Peristiwa kebakaran biomassa pada suatu daerah akan menyisakan bekas-bekas kebakaran seperti arang, abu, serta singkapan tanah pada daerah tersebut yang dikenal dengan burned area. Daerah bekas kebakaran tersebut diduga memiliki temperatur yang relatif lebih tinggi dibandingkan dengan daerah sekitarnya yang tidak terbakar. Penelitian ini bertujuan untuk mengetahui karakteristik temperatur burned area menggunakan data penginderaan jauh Landsat-8 Thermal Infra Red Sensor (TIRS). Lokasi penelitian yang dipilih adalah sebagian wilayah Kalimantan Tengah dan Kalimantan Selatan yang masuk scene Landsat-8 path/row 118/062. Metode penelitian yang dilakukan adalah pengolahan data Landsat-8 TIRS (kanal 10 dan 11) untuk menghasilkan citra suhu kecerahan serta analisis data yang meliputi analisis statistik tendensi sentral dari nilai-nilai suhu kecerahan dari sampel (perhitungan rerata dan standar deviasi) serta perhitungan jarak (D-value). Hasil penelitian menunjukkan bahwa data suhu kecerahan baik kanal 10 maupun kanal 11 Landsat-8 TIRS memiliki kemampuan yang baik dalam memisahkan burned area dan lahan terbuka, namun memiliki kemampuan yang rendah untuk memisahkan burned area dan permukiman. Dengan demikian, parameter suhu kecerahan belum bisa dipergunakan sebagai variabel tunggal untuk ekstraksi burned area pada suatu scene citra perekaman tunggal.
The MODIS-Aqua data have been studied to map TSM distribution in coastal waters. TSM algorithm model for MODIS data with spatial resolution of 250 m, 500 m and 1000 m was developed by correlating the TSM derived from spectral values of MODIS and the TSM derived from Landsat-7 ETM data using the calibrated algorithm. Statistical test was conducted to see normality of data and level of influence from both parameters. Analysis was conducted to see the change of spectral value from bands of MODIS data with resolution of 1000 m towards the change of level of TSM concentration. The results shows that the TSM algorithm model is in the form of power (X a ) with the highest correlation coefficient is obtained from the correlation between the Landsat TSM value with the quantification of band 1 and band 2 of MODIS data for spatial resolution 250 m, ratio of band 4 and band 3 for spatial resolution 500 m, and ratio of band 13 and 11 for spatial resolution 1000 m. The pattern of TSM distribution in coastal waters can be identified in more accurate using MODIS data with resolution of 250 m and 500 m. The analysis result of the curve of MODIS spectral value data with resolution 1000 m shows that the change of TSM concentration influences significantly to the form of curve of spectral value, especially for band 11 -16 ( visible green, red and NIR).
Sabut kelapa merupakan salah satu limbah dari buah kelapa yang berpotensi untuk dimanfaatkan karena mudah diperoleh dan tersedia dalam jumlah yang banyak serta dapat diolah menjadi pupuk organik cair. Pupuk organik cair berbasis sabut kelapa dapat dimanfaatkan sebagai pupuk karena mengandung unsur Nitrogen(N), Fosfor (P), dan Kalium (K) sehingga dapat memenuhi kebutuhan unsur hara yang sangat diperlukan oleh tanaman sayur-sayuran. Pengabdian masyarakat ini dilakukan dengan tujuan untuk mengkaji pengaruh pemberian pupuk organik cair berbasis limbah sabut kelapa terhadap pertumbuhan dan perkembangan tanaman sayur-sayuran serta melatih masyarakat untuk lebih mandiri dalam memanfaatkan limbah sabut kelapa sebagai pupuk organik cair (POC). Pengabdian telah dilaksanakan di Desa Sigar Penjalin Kecamatan Tanjung Kabupaten Lombok Utara. Metode yang digunakan dalam melaksanakan program pengabdian adalah metode Participatory Research Appraisal (PRA) yaitu bentuk metode yang melibatkan semua anggota mitra sasaran dalam melakukan program kerja. Dari program yang telah dilaksanakan diperoleh hasil bahwa sekitar 75% anggota kelompok ibu-ibu PKK Desa Sigar Penjalin siap untuk mengolah limbah sabut kelapa menjadi pupuk organik cair. Hasil monitoring dan evaluasi menunjukkan bahwa pengolahan limbah sabut kelapa menjadi pupuk organik cair secara tidak langsung dapat meningkatkan pendapatan ibu-ibu PKK. Kesimpulan dari kegiatan pengabdian ini adalah tanaman sayur-sayuran yang diberikan pupuk organik cair berbasis limbah sabut kelapa memberikan perubahan yang signifikan terhadap pertumbuhan dan perkembangan tanaman yaitu pertumbuhannya lebih cepat, daunnya lebih lebar dan berwarna hijau segar.
Abstract. The position of Indonesia as part of a "ring of fire" bringing the consequence that the life of the nation and the state will also be influenced by volcanism. Therefore, it is necessary to map rapidly the affected areas of a volcano eruption. Objective of the research is to detect the affected areas of Mount Sinabung eruption recently in North Sumatera by using optical images Landsat 8 Operational Land Imager (OLI). A pair of Landsat 8 images in 2013 and 2014, period before and after eruption, was used to analysis the reflectance change from that period. Affected areas of eruption was separated based on threshold value of reflectance change. The research showed that the affected areas of Mount Sinabung eruption can be detected and separated by using Landsat 8 OLI images based on the change of reflectance value band 4, 5 and NDVI. Band 5 showed the highest values of decreasing and band 4 showed the highest values of increasing. Compared with another uses of single band, the combination of both bands (NDVI) give the best result for detecting the affected areas of volcanic eruption.
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