Hasil Pencarian  ::  Simpan CSV :: Kembali

"ABSTRAKMengetahui nilai land surface temperature (LST) merupakan hal penting dalam eksplorasi geotermal. Pengukuran LST secara manual akan memakan waktu yang lama dan biaya yang besar. Penggunaan metode thermal infrared remote sensing untuk mencari nilai LST akan memakan waktu yang lebih cepat dan biaya yang sedikit. Data yang digunakan berasal dari satelit Landsat 8 dengan sensor Operational Land Imager (OLI) dan Thermal Infrared (TIRS). Dari data OLI akan didapatkan nilai emisivitas sementara dari data TIRS akan didapatkan nilai brightness temperature. Dengan menggunakan metode split-window algorithm, nilai LST bisa diketahui dari nilai emisivitas dan brightness temperature. Nilai LST yang didapat pada penelitian ini berada pada range nilai 14oC hingga 45oC. Nilai LST semakin meningkat apabila terdapat sesar yang berasosiasi dengan sistem geotermal. Nilai LST juga semakin meningkat apabila base of conductor semakin dekat dengan permukaan bumi. Nilai LST yang sudah didapatkan kemudian dipadukan dengan data geologi, geokimia, dan magnetotelurik sehingga menghasilkan model konseptual.

---

ABSTRACTKnowing the value of land surface temperature (LST) is important in geothermal exploration. LST measurements manually would take a long time and costly. The use of thermal infrared remote sensing method to find the value of LST will take faster and cost less. The data used are from the satellite Landsat 8 with sensor Operational Land Imager (OLI) and the Thermal Infrared (TIRS). From data OLI, will be obtained the value of emissivity while from data TIRS, will be obtained the value of brightness temperature. By using a split-window algorithm, the value of LST can be known from the value of emissivity and brightness temperature. LST value obtained in this study are in the range of values 14oC to 45oC. LST value increase if there is a fault associated with a geothermal system. LST value also increased when the base of conductor closer to the earth?s surface. LST value that has been obtained is then combined with geological, geochemical, and magnetotelluric data resulting conceptual model.;"

"This textbook is one of the first to explain the fundamentals and applications of remote sensing at both undergraduate and graduate levels. Topics include definitions and a brief history of payloads and platforms, data acquisition and specifications, image processing techniques, data integration and spatial modeling, and a range of applications covering terrestrial, atmospheric, oceanographic and planetary disciplines. The policy and law issues of remote sensing and the future trends on the horizon are also covered. Remote sensing is an exciting, dynamic technology that is transforming the Earth sciences - terrestrial, atmospheric, and marine - as well as the practices of agriculture, disaster response, engineering, natural resources, providing evidence in legal cases and documented humanitarian crises, and many other fields. Increasingly, understanding of these techniques will be central to a number of disciplines, particularly as the technology advances."

"Pemetaan prospek geothermal di daerah ldquo;Sigma rdquo; dilakukan dengan pendekatan analisis data penginderaan jauh PJ dan diintegrasikan dengan data Geosains berupa Geokimia dan magnetotelluric MT . Hasil penelitian menunjukkan bahwa arah umum kelurusan yang berasosiasi dengan struktur geologi di daerah geothermal ldquo;Sigma rdquo; adalah NW-SE dengan sub-ordinate N-S dan NE-SW. Struktur N-S merupakan stuktur paling awal, mengontrol vulkanisme di kompleks G. Maria. Sedangkan struktur NE-SW yang bersifat ekstensional berkaitan dengan munculnya manifestasi di daerah S. Apas, dan struktur paling akhir berarah NW-SE yang merupakan hasil pergerakan transpressional, berperan sebagai boundary dalam sistem geothermal daerah ldquo;Sigma rdquo;. Berdasarkan analisis geokimia, manifestasi mata air panas dan mud pool di sekitar S. Apas merupakan manifestasi outflow dengan zona upflow diperkirakan berada di Tenggara puncak G.Maria. Estimasi temperatur reservoir berdasarkan geothermometer Na-K-Ca adalah 186 C. Berdasarkan model inversi 3D MT lapisan claycap resistivitas le; 20 ?m tersebar di bagian Tenggara puncak G. Maria, dengan TOR top of reservoir pada kedalaman sekitar 800 m. Posisi reservoir berada di atas suatu bentukan dome yang diinterpertasikan sebagai heat source. Sistem geothermal daerah ldquo;Sigma rdquo; adalah sistem Vulkanik-Hidrothermal berumur Kuarter dengan temperatur sedang. Litologi penyusun komponen sistem geothermal adalah produk G. Maria, berupa piroklastik dan lava. Daerah prospek geothermal daerah ldquo;Sigma rdquo; berada di Tenggara puncak G. Maria dengan luas sekitar 8 km2.

---

The geothermal prospectivity mapping in ldquo Sigma rdquo area is conducted by remote sensing data analysis approach, integrated with geoscience data which are geochemistry and magnetotelluric MT . The results shows that the general trend of the lineament associated with the geological structure in the geothermal region Sigma is NW SE with sub ordinate N S and NE SW. The structure of the N S is the earliest, controlling volcanism process in the Mount Maria complex. While the NE SW structure is extensional in relation to the emergence of manifestations in the S. Apas region, and the most recent NW SE trending structure which is the result of transpressional movement, acting as a boundary in the geothermal system of the Sigma area. Based on geochemistry analysis, the manifestation of hot springs and mud pools around S. Apas is an outflow manifestation with an estimated upflow zone located in the southeastern peak of Mount Maria. Estimated reservoir temperature based on Na K Ca geothermometer is 186 C. Based on the 3D MT inversion model, claycap layer resistivity le 20 m is spread over the southeastern peak of Mount Maria, with TOR top of reservoir at around 800 m depth. The reservoir position is above a dome that is interpreted as heat source. The geothermal system in ldquo Sigma rdquo area is a Quarternary Hydrothermal Volcanic System with medium temperature. The lithology composed this geothermal system is the product of Mount Maria, which are the pyroclastic and lava. The geothermal prospect area located in the Southeast of Mount Maria peak with an area of about 8 km2."

"One aspect of the agricultural development is an information corresponding to potency and availability of land resources for both intensification and extensification

---

"

"Indonesia's geographic expanse and urgent need monitoring natural resourches make it a potentially large user of satellite remote sensing products. After a brief presentation of major institutions, universities, and organizations dealing with this technique, the paper reviews and analyses major constraints, i.e. cloud cover, atmosphere, landscape, and equipment. It is followed by some examples of SPOT-derived local operational achievements. These are related to cartographic aspects, land cover mapping, agricultural-suburban interface, forestly, soils and geology. Finally, economic aspects and perspectives are considered. As confirmed by other independent works, the SPOT-derived examples stress that this type of data, especially the 10m resolution data, seem to offer a viable alternative to more expensive aerial photographs, particularly when repetive coverage is required."

"Tahun 2008 Kabupaten Kebumen dilanda kekeringan. Masyarakat kesulitan air bersih dan air irigasi menyusul menurunnya debit sumber air. Penggunaan data penginderaan jauh dan Sistem Informasi Geografis (SIG) dapat digunakan untuk mengidentifikasi potensi daerah rawan kekeringan. Transformasi citra satelit Landsat TM untuk mendapatkan indeks kecerahan, indeks ke basahan, dan indeks vegetasi digunakan untuk mengetahui kondisi permukaan dalam hubungannya dengan kekeringan. Indeks kecerahan dan indeks kebasahan diperoleh dari modifikasi tasseled cap, sedangkan indeks vegetasi diperoleh dari nilai normalized difference vegetation index (NDVI). Parameter lain seperti kondisi akuifer, curah hujan serta jenis penggunaan lahan pertanian kering merupakan faktor dalam mengidentifikasi kekeringan. Data-data tersebut dilakukan sesuai dengan deskripsi zona wilayahnya guna mendapatkan kajian wilayah dalam hubungannya dengan kekeringan. Hasil dari penelitian ini mengidentifikasikan bahwa sebagian kecamatan di Kabupaten Kebumen yang meliputi Karanggayam, Karangsambun g, Sadang, Alian, Puring, Klirong, Buluspesantren, Ambal, dan Mirit terdeteksi memiliki potensi kekeringan.

---

Kebumen regency was drought in year 2008, community clean water shortages and irrigation water following a decline in water resources. The use of remote sensing data and GIS can be used to identify the potential for drought-prone areas. Transformation of Landsat TM satellite imagery to obtain the brightness index, wetness index and vegetation index used to determine surface conditions in relation to drought. Brightness index and wetness index derived from the tasseled cap modifications, while the vegetation index derived from normalized difference vegetation index (NDVI) values. Other parameters such as aquifer conditions, rainfall and other types of dry agricultural land use was a factor in identifying drought. The data are performed in accord ance with the zone description in order to get the study area in relation to regional drought. The result of the research is identified area the district of Karangsambung, Karanggayam, Sadang, Alian, Puring, Klirong, Buluspesantren, Ambal and Mirit potential drought."

"Remote sensing provides information on how remote sensing relates to the natural resources inventory, management, and monitoring, as well as environmental concerns. It explains the role of this new technology in current global challenges. Remote sensing will discuss remotely sensed data application payloads and platforms, along with the methodologies involving image processing techniques as applied to remotely sensed data. This title provides information on image classification techniques and image registration, data integration, and data fusion techniques. How this technology applies to natural resources and environmental concerns will also be discussed."

"Land use mapping can be defined as a mapping activity of land cover with cropping management and erosion control practice factors. The activity can be carried out by an application of remote sensing techniques, either air photos or Landsat images to gain land cover information. Cropping management and erosion control practice factors are derived from tables produced with cooperative activity in the field. Information on land cover resulting from remote sensing interpretation still needs to be checked in the field."