SRTM Elevation Data and Bathymetry Measurements Analysis

Nov 29, 2025

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Explore the analysis of SRTM elevation data extracted from a polynomial fit and bathymetry measurements. Understand the terrain and water features with advanced mapping tools. Dive deep into the topographic details and underwater landscapes. Enhance your geographical research and planning with accurate elevation and bathymetry data. Discover valuable insights for scientific studies, environmental assessments, and marine explorations.

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SRTM Elevation Data and Bathymetry Measurements Analysis

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Presentation Transcript

SRTM elevation (from polynomial fit) X Bathymetry measurements y Z

BARE EARTH DEM FROM SRTM DATA

BARE EARTH DEM FROM SRTM DATA. CG. Objective of the project. Improve Digital Elevation Models (DEMs) from SRTM mission for hydrodynamic modeling and other applications. Obtain spatial and temporal structure of vegetation biomass.

683 views • 43 slides

Calibration Curves

Calibration Curves. 1000 to 5000 ppm – Increments of 1000 ppm. Calibration Curves. Calibration Curves. Linear Fit. 2 nd Order Polynomial. Logarithmic Fit. Calibration Curves. Experimental Results (70 C @ 55 min). Extract vs. Time. M-Sugars vs. Time. M-Sugars vs. Time (Normalized.

343 views • 18 slides

Definitions

Definitions. group , ring and field polynomial over a field F degree of a polynomial over F F[x] degree of a polynomial in F[x] gcd of two polynomials from F[x] irreducible polynomial over F function induced by a polynomial root of a polynomial

200 views • 3 slides

Chapter 4 Prediction, Goodness-of-fit, and Modeling Issues

Chapter 4 Prediction, Goodness-of-fit, and Modeling Issues. Walter R. Paczkowski Rutgers University. Chapter Contents. 4.1 Least Square Prediction 4.2 Measuring Goodness-of-fit 4 .3 Modeling Issues 4 .4 Polynomial Models 4 .5 Log-linear Models 4 .6 Log-log Models. 4.1

1.57k views • 125 slides

Front Elevation

ELEVATIONS AND PLAN VIEWS. Front elevation – The shape as viewed from the front. Plan View – The shape as viewed from above. Side View – The shape as viewed from the side. . Front Elevation. Side view. Plan view – looking from above. Plan View. Side Elevation. Front Elevation.

166 views • 2 slides

3D Geometry for Computer Graphics

3D Geometry for Computer Graphics. Class 4. The plan today. Least squares approach General / Polynomial fitting Linear systems of equations Local polynomial surface fitting. Motivation. y = f ( x ). Given data points, fit a function that is “close” to the points. y.

485 views • 38 slides

3D Geometry for Computer Graphics

3D Geometry for Computer Graphics. The plan today. Least squares approach General / Polynomial fitting Linear systems of equations Local polynomial surface fitting. Motivation. y = f ( x ). Given data points, fit a function that is “close” to the points. y. P i = ( x i , y i ). x.

536 views • 38 slides

The Polynomial ADT

The Polynomial ADT. By Karim Kaddoura For CS146-6. Polynomial ADT. What is it? ( Recall it from mathematics ) An example of a single variable polynomial: 4x 6 + 10x 4 - 5x + 3 Remark: the order of this polynomial is 6 (look for highest exponent). Polynomial ADT (continued).

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2.4 Factor and Solve Polynomial Equations

2.4 Factor and Solve Polynomial Equations. p. 111 Name two special factoring patterns for cubes. Name three ways to factor a polynomial. What is the difference between factoring a polynomial and solving a polynomial?. Types of Factoring:. From Chapter 1 we did factoring of:

569 views • 20 slides

Finding the equation of a Polynomial from the roots and a Graph

Finding the equation of a Polynomial from the roots and a Graph. A Polynomial Equation from Coordinates. General Rule of Thumb: An n th degree polynomial needs n + 1 points in order to find an accurate equation.

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Do Now: You may not use a calculator!

Do Now: You may not use a calculator!. Dividing Polynomials. Simple Division -. dividing a polynomial by a monomial. Simplify. Simplify. Long Division -. dividing a polynomial by a polynomial. Think back to long division from 3rd grade:

376 views • 25 slides

Front Elevation

ELEVATIONS AND PLAN VIEWS. Front elevation – The shape as viewed from the front. Plan View – The shape as viewed from above. Side View – The shape as viewed from the side. Front Elevation. Side view. Plan view – looking from above. Plan View. Side Elevation. Front Elevation.

286 views • 2 slides

Angle of Elevation

Angle of Elevation. The angle of elevation is measured from a horizontal line looking up at something. Angle of Depression. The Angle of Depression is measured from a horizontal line looking down at something.

252 views • 8 slides

Elevation -

Elevation -. height above sea level. Precipitation-. Elevation- the height above sea level. 1. What city do you think will have a higher elevation? Circle one: Amarillo or El Paso. Put the following in order from lowest to highest elevation.

287 views • 7 slides

Multiple Regression

Multiple Regression. A multiple regression model is a model that has more than one explanatory variable in it. Some of the reasons to use multiple regression models are: Often multiple X ’s arise naturally from a study. We want to control for some X ’s Want to fit a polynomial

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Warm Up: Solve & Sketch the graph:

Warm Up: Solve & Sketch the graph:. Real Zeros of Polynomial Functions. Objective. Long Division of Polynomials Short Division of Polynomials Write the Polynomial when given the zeros. Relevance. Learn how to evaluate data from real world applications that fit into a quadratic model.

173 views • 15 slides

Calculating the shape of a polynomial from regression coefficients

Calculating the shape of a polynomial from regression coefficients. Jane E. Miller, PhD. Overview. Functional form of a polynomial Solving a polynomial for values of the independent variable Illustrative example Calculations Chart Spreadsheet to perform calculations.

230 views • 17 slides

Curve Fitting with Polynomial Models

Curve Fitting with Polynomial Models. Essential Questions. How do we use finite differences to determine the degree of a polynomial that will fit a given set of data? How do we use technology to find polynomial models for a given set of data?. Holt McDougal Algebra 2. Holt Algebra 2.

155 views • 10 slides

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SRTM Elevation Data and Bathymetry Measurements Analysis

SRTM Elevation Data and Bathymetry Measurements Analysis

Presentation Transcript

BARE EARTH DEM FROM SRTM DATA

Calibration Curves

Definitions

Chapter 4 Prediction, Goodness-of-fit, and Modeling Issues

Front Elevation

3D Geometry for Computer Graphics

3D Geometry for Computer Graphics

The Polynomial ADT

2.4 Factor and Solve Polynomial Equations

Finding the equation of a Polynomial from the roots and a Graph

Do Now: You may not use a calculator!

Front Elevation

Angle of Elevation

Elevation -

Multiple Regression

Warm Up: Solve &amp; Sketch the graph:

Calculating the shape of a polynomial from regression coefficients

Curve Fitting with Polynomial Models

Warm Up: Solve & Sketch the graph: