| Bahan Kajian | - Dasar-dasar remote sensing: prinsip dasar penginderaan jauh, interaksi gelombang elektromagnetik dengan material geologi, konsep reflektansi dan emisi, serta karakteristik sensor optis, thermal, dan microwave. Dibahas pula jenis resolusi (spasial, spektral, radiometrik, dan temporal) serta peran remote sensing dalam tahapan eksplorasi sumberdaya bumi.
- Foto udara dan citra satelit: prinsip pengambilan data foto udara dan citra satelit, jenis sensor multispektral dan hiperspektral, serta pertimbangan pemilihan data sesuai tujuan eksplorasi.
- Pengolahan citra sensor optis (visible–shortwave infrared): engolahan citra melalui koreksi geometrik dan atmosferik, komposit RGB, penajaman citra, band ratio, indeks spektral, serta Principal Component Analysis (PCA). Fokus diberikan pada identifikasi indikasi geologi dari data multispektral
- Pengolahan citra hiperspektral: karakteristik data hiperspektral dan teknik analisis spektral berbasis kurva reflektansi untuk identifikasi mineral.
- Citra thermal infrared: prinsip radiasi termal dan interpretasi temperatur permukaan, aplikasinya dalam eksplorasi panas bumi dan alterasi hidrotermal melalui analisis contoh kasus.
- Citra sensor microwave: prinsip dasar radar dan karakteristik backscatter, kemudian mengeksplorasi pengolahan dasar data SAR untuk identifikasi struktur geologi dan lineament dalam konteks eksplorasi.
- Digital elevation model (DEM) dan analisis morfostruktur: derivatif DEM seperti slope, aspect, dan hillshade serta melakukan ekstraksi kelurusan.
- Geobotanical remote sensing: prinsip geobotani dan hubungan vegetasi dengan mineralisasi, kemudian mengeksplorasi indikator stres vegetasi yang berkaitan dengan potensi mineral di wilayah tertutupi vegetasi tropis.
- Integrasi remote sensing dengan data lapangan: integrasi data remote sensing dengan data geologi, geokimia, dan geofisika melalui studi kasus sederhana.
| - Fundamentals of remote sensing: Basic principles of remote sensing, interaction of electromagnetic waves with geological materials, concepts of reflectance and emission, and characteristics of optical, thermal, and microwave sensors. Types of resolution (spatial, spectral, radiometric, and temporal) are also discussed, along with the role of remote sensing in the stages of earth resource exploration.
- Aerial photography and satellite imagery: principles of data acquisition using aerial photography and satellite imagery, types of multispectral and hyperspectral sensors, and considerations in selecting appropriate data according to exploration objectives.
- Optical sensor image processing (visible–shortwave infrared): Image processing techniques including geometric and atmospheric correction, RGB composites, image enhancement, band ratios, spectral indices, and Principal Component Analysis (PCA). The focus is on identifying geological indications from multispectral data.
- Hyperspectral image processing: characteristics of hyperspectral data and spectral analysis techniques based on reflectance curves for mineral identification.
- Thermal infrared imagery: principles of thermal radiation and surface temperature interpretation, and their applications in geothermal exploration and hydrothermal alteration analysis through selected case studies.
- Microwave (radar) imagery: basic principles of radar systems and backscatter characteristics, followed by fundamental SAR data processing for identifying geological structures and lineaments in exploration contexts.
- Digital elevation model (DEM) and morphostructural analysis: DEM derivatives such as slope, aspect, and hillshade, as well as lineament extraction techniques for structural interpretation.
- Geobotanical remote sensing: principles of geobotany and the relationship between vegetation and mineralization, including the exploration of vegetation stress indicators associated with mineral potential in tropical vegetated regions.
- Integration of remote sensing with field data: integrate remote sensing data with geological, geochemical, and geophysical data through a simple case study.
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mahasiswa mampu menjelaskan prinsip fisika dan karakteristik sensor remote sensing (optis, thermal, dan microwave) serta implikasinya dalam eksplorasi sumberdaya bumi.
- Mahasiswa mampu mengolah dan menganalisis data citra (multispektral, radar, dan DEM) menggunakan teknik dasar pengolahan citra digital untuk identifikasi indikasi geologi.
- Mahasiswa mampu menginterpretasikan dan mengintegrasikan hasil analisis remote sensing dengan data geologi atau geokimia untuk menyusun indikasi awal zona prospektif.
| - Students are able to explain the physical principles and characteristics of remote sensing sensors (optical, thermal, and microwave) and their implications for earth resource exploration
- Students are able to process and analyze image data (multispectral, radar, and DEM) using fundamental digital image processing techniques to identify geological indications.
- Students are able to interpret and integrate remote sensing analysis results with geological or geochemical data to develop preliminary prospectivity indications.
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