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Earth And Space Sciences › Remote Sensing And Gis

Image Preprocessing for Remote Sensing

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Optical Remote SensingCoordinate Systems and Map Projections→→Change Detection in Remote SensingImage Classification in Remote Sensing+1 more
image-preprocessing atmospheric-correction geometric-correction radiometric-calibration

Core Idea

Raw satellite imagery contains systematic distortions that must be corrected before meaningful analysis. Preprocessing transforms raw sensor data into scientifically usable products through three main steps: radiometric calibration (converting raw digital numbers to physical units of radiance or reflectance), atmospheric correction (removing the atmosphere's contribution to isolate the surface signal), and geometric correction (aligning image pixels to accurate ground coordinates). Without preprocessing, pixel values do not represent true surface properties, multi-date comparisons are invalid, and data from different sensors cannot be combined.

Explainer

Raw satellite data straight from the sensor is not ready for analysis. It contains a mixture of surface information, atmospheric effects, and geometric distortions that must be systematically separated and corrected. This preprocessing chain is the unglamorous but essential foundation of all quantitative remote sensing.

Radiometric calibration converts raw digital numbers (DN) to physical units. Each sensor has calibration coefficients that convert DN to at-sensor radiance (watts per square meter per steradian per micrometer). From radiance, dividing by the solar irradiance at the top of the atmosphere (adjusted for Earth-Sun distance and solar zenith angle) yields top-of-atmosphere (TOA) reflectance -- a standardized quantity that removes sensor-specific and illumination effects but still includes the atmosphere.

Atmospheric correction is the most scientifically important step. The atmosphere scatters incoming sunlight into the sensor's field of view (path radiance), absorbs portions of both downwelling and upwelling radiation, and alters the spectral distribution of light reaching the surface. Physics-based models (6S, MODTRAN, libRadtran) simulate these processes using atmospheric parameters (aerosol optical depth, water vapor column, ozone) to estimate and remove the atmospheric contribution. The result is surface reflectance -- what the surface would look like if there were no atmosphere.

Geometric correction ensures that pixels map to correct geographic locations. Satellite ephemeris data provides an initial geometric model, but systematic and non-systematic errors require correction using ground control points and, for accurate results, orthorectification using a DEM to remove terrain-induced displacement. The result is an image where each pixel has a reliable geographic coordinate, enabling overlay with other geospatial data and precise multi-temporal registration essential for change detection.

Practice Questions 3 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Radian Measure → Converting Between Degrees and Radians → The Unit Circle → Graphing Sine and Cosine → Graphing Tangent and Reciprocal Trigonometric Functions → Derivatives of Trigonometric Functions → Antiderivatives → Indefinite Integrals → Basic Integration Rules → Riemann Sums → Definite Integral Definition → Double Integrals: Definition and Setup → Iterated Integrals and Fubini's Theorem → Double Integrals over Rectangular Regions → Double Integrals over General Regions → Applications of Double Integrals: Area, Mass, and Moments → Triple Integrals in Cartesian Coordinates → Triple Integrals in Cylindrical and Spherical Coordinates → Change of Variables and the Jacobian Determinant → Applications of Triple Integrals: Volume and Mass → Vector Fields and Their Representations → Line Integrals of Vector Fields → Work and Circulation → Line Integrals of Scalar and Vector Functions → Fundamental Theorem for Line Integrals → Conservative Vector Fields → Conservative Vector Fields and Potential Functions → Curl and Divergence of Vector Fields → Curl and Divergence → Divergence Theorem → Electric Flux and Divergence Theorem → Gauss's Law: Integral Form and Meaning → Solving Problems with Gauss's Law → Conductors in Electrostatic Equilibrium → Capacitance and Capacitors → Dielectrics → Dielectric Constant and Relative Permittivity → Electric Field Inside Dielectric Materials → Dielectric Materials and Polarization → Dielectric Susceptibility and Permittivity → Energy Density in Electric Fields → Electric Current and Current Density → Electrical Resistance and Resistivity → Ohm's Law and Circuit Elements → Electromotive Force (EMF) and Batteries → Kirchhoff's Circuit Laws: Voltage and Current → DC Circuit Network Analysis Methods → Transient Response in RC Circuits → RC Circuits → LC and RLC Circuits → AC Circuits: Fundamentals → Impedance and Reactance → AC Power and Resonance → Electromagnetic Waves → The Electromagnetic Spectrum → Electromagnetic Spectrum for Remote Sensing → Passive vs Active Remote Sensors → Satellite Orbits for Remote Sensing → Optical Remote Sensing → Image Preprocessing for Remote Sensing

Longest path: 134 steps · 852 total prerequisite topics

Prerequisites (2)

Optical Remote Sensinghard Coordinate Systems and Map Projectionssoft

Leads To (3)

Change Detection in Remote Sensinghard Image Classification in Remote Sensinghard Vegetation Indices and NDVIsoft