AI dalam Kuis Analisis Citra Satelit

Jawaban dan penjelasan muncul saat Anda mengikuti kuis.

1. What can AI help analysts do with large collections of satellite images?
   • Find patterns and changes across imagery for human interpretation
   • Replace all field observations with certain diagnoses
   • Guarantee that every land-cover label is correct
   • Create satellite observations where no sensor data exist
2. Apa yang dilakukan 'deteksi perubahan' dalam analisis satelit?
   • Menghitung satelit di orbit
   • Membandingkan gambar tempat yang sama dari waktu ke waktu untuk menandai perbedaan yang berarti
   • Mengubah warna satelit
   • Mendeteksi satelit baru yang diluncurkan
3. Mengapa radar aperture sintetis (SAR) sangat berharga?
   • Ini hanya berfungsi pada hari-hari cerah
   • Dibutuhkan foto berwarna untuk wisatawan
   • Ia dapat melihat menembus awan dan beroperasi di malam hari
   • Ini menggantikan kebutuhan akan AI apa pun
4. What does the USGS describe NDVI as measuring?
   • A complete diagnosis of plant health
   • The amount of rainfall in a watershed
   • The concentration of minerals in soil
   • The contrast between near-infrared and red reflectance used as a vegetation index
5. Apa yang dimaksud dengan 'segmentasi semantik' dalam analisis gambar?
   • Memberi label pada setiap piksel berdasarkan kelasnya, seperti air, jalan, atau hutan
   • Menghapus bagian dari suatu gambar
   • Mengompresi gambar ke file yang lebih kecil
   • Menerjemahkan keterangan gambar ke bahasa lain
6. What PlanetScope coverage did Planet document for its Dove fleet?
   • Continuous video of every location
   • Near-daily multispectral coverage over landmasses
   • Daily imagery of every ocean depth
   • A guaranteed clear image of every land parcel each day
7. Why are large satellite scenes often divided into smaller image tiles before model processing?
   • It turns radar data into visible-light photographs
   • It guarantees every tile shows a different land-cover class
   • Tiling makes a very large scene manageable for computation and localized analysis
   • It removes the need to align images from different dates
8. What can combining multiple spectral or radar bands help an analyst infer beyond visible color?
   • The exact identity of every person on the ground
   • The satellite's remaining fuel
   • A guaranteed forecast of next year's weather
   • Properties such as vegetation condition, soil moisture, or flooding