Geographic Information Systems and Remote Sensing Fundamentals

Classified in Physics

Written on in English with a size of 2.8 KB

1. Astronomical Importance

The Tropics

2. Land Cover

Land use map

3. Panchromatic Imaging

Visible spectrum

4. UTM Coordinates

Transverse Mercator projection (meridian-based)

5. Vector vs. Raster Data

Raster is divided into pixels; vector represents discrete variables.

6. Types of DBMS

Hierarchical, network, and relational

7. Raster Data Types

Exhaustive enumeration, coding, and run-length encoding

8. Vector Data Models

Spaghetti, topological, and arc-node (DIME)

9. GIS Functions

Capturing, analyzing, modeling, and representation

10. Buffer Analysis

Establishing a specific area at a set distance from an object

11. Spatial Patterns

Random, concentrated, and regular

12. Snow Reflectance

Visible spectrum (emitted and reflected)

13. Remote Sensing Elements

Energy source, land cover, sensor system, reception, and interpretation system

14. Types of Resolution

Spatial (pixel), spectral (bands), radiometric (bit depth), and temporal (revisit time)

15. Scale and Measurement

Measurements may vary depending on the scale

16. Map Series

SGE IGN 1:50,000 and 1:25,000

17. Electromagnetic Spectrum

Visible, infrared (near, mid, far), and thermal microwave

18. Data Errors

User, measurement, and processing errors

19. Interpolation

Predicting variable values at unknown locations based on known conditions

20. Digital Elevation Models (DEM)

Formed from elevation levels and contour lines

21. Map Projections

Conformal (angles), equivalent (area), and equidistant (distance)

22. Database Elements

File, entity, attributes, records, and key fields

23. Climate Model Analysis

Tmax, potential sunstroke, and solar irradiance energy

24. Reflectance Modifiers

Solar altitude, position, atmosphere, phenology, and substrate

25. Neighborhood Analysis

Delaunay triangulation and Thiessen polygons

26. Cloud Cover Impact

Increased cloud cover reduces band availability, pixel size, and temporal resolution

27. Nearest-Neighbor Index

Do = total distance / number of points; R1 = Do / Dm. R1=0 (concentrated), R1=1 (random), R1=2.5 (regular).

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