AI oo ku jira Kediska Falanqaynta Sawirka Satellite-ka

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

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. Muxuu 'isbeddel ogaanshaha' ku sameeyaa falanqaynta dayax-gacmeedka?
   • Wuxuu tiriyaa satalaytka wareegtada
   • Wuxuu barbar dhigayaa sawirada isla goobta waqti ka dib si uu u calaamadiyo kala duwanaansho macno leh
   • Wuxuu beddelaa midabka dayax-gacmeedka
   • Wuxuu ogaaday dayax-gacmeedyo cusub oo la diray
3. Waa maxay sababta raadaarka daloolka synthetic (SAR) uu gaar ahaan qiimo u leeyahay?
   • Waxay shaqeysaa oo kaliya maalmaha qorraxdu
   • Waxay u qaadaa sawirro midab leh dalxiisayaasha
   • Waxay ka dhex arki kartaa daruuraha waxayna shaqayn kartaa habeenkii
   • Waxay bedeshaa baahida AI kasta
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. Waa maxay 'semantic segmentation' ee falanqaynta sawirka?
   • Ku calaamadeynta pixel kasta heerkiisa, sida biyaha, wadada, ama kaynta
   • Tirtirka qaybaha sawirka
   • Ku cadaadi sawirka fayl yar
   • U turjumaya qoraallada sawirka ee luqado kale
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