Introduction to GIS and Remote Sensing with R

Introduction to GIS and Remote Sensing with R, available at $39.99, has an average rating of 4.35, with 32 lectures, based on 15 reviews, and has 315 subscribers.

You will learn about Spatial analysis Vector processing Raster processing Some tidyverse functions This course is ideal for individuals who are Anyone interested in learning how to use R for GIS and remote sensing studies. It is particularly useful for Anyone interested in learning how to use R for GIS and remote sensing studies.

Enroll now: Introduction to GIS and Remote Sensing with R

Summary

Title: Introduction to GIS and Remote Sensing with R

Price: $39.99

Average Rating: 4.35

Number of Lectures: 32

Number of Published Lectures: 31

Number of Curriculum Items: 52

Number of Published Curriculum Objects: 51

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Spatial analysis
Vector processing
Raster processing
Some tidyverse functions

Who Should Attend

Anyone interested in learning how to use R for GIS and remote sensing studies.

Target Audiences

Anyone interested in learning how to use R for GIS and remote sensing studies.

Hello! I invite you to enroll in my course on GIS and remote sensing using R software, which you will be able to combine seamlessly with QGIS, ARCGIS, Google Earth Engine, among others.

Give a twist to your professional career with a new skill that will put you a step above the rest, because programming applied to GIS and remote sensing is here to stay!

R is a program widely used around the world and makes it easy to analyze satellite data. Forget about spending hours processing an image or vector file. Increase your productivity and don’t fill your computer with unnecessary memory.

Forget about having to perform the same procedure over and over again in a slow and tiring way. Create your own programming codes, giving them your special touch, because programming is an art and merged with GIS and remote sensing creates a masterpiece.

Welcome to the world of reproducible research, where through programming codes you will be able to replicate specific tasks and functions as many times as you want and in an easy way.

Be part of the worldwide R community, where everyone helps each other in order to learn as much as possible.

What are you waiting for! It’s up to you to join the world of Big Data in remote sensing!

See you in class!

Andrés.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course scripts

Lecture 2: Course files

Lecture 3: Load multiple packages

Chapter 2: Vectors

Lecture 1: Read shapefile

Lecture 2: Analyze shapefile

Lecture 3: Reproject vector

Lecture 4: Filter a shapefile

Lecture 5: Read many shapefiles

Lecture 6: CSV to shapefile

Lecture 7: Download country vector data from R

Lecture 8: Join Excel sheet with a shapefile

Lecture 9: Polygon area

Lecture 10: Line length

Lecture 11: Buffer

Lecture 12: Centroid

Lecture 13: Filter points within a polygon

Lecture 14: Drawing geometries and exporting them as a shapefile

Chapter 3: Raster

Lecture 1: Read raster

Lecture 2: Reproject raster

Lecture 3: Raster calculator

Lecture 4: Polygon to raster

Lecture 5: Raster to polygon

Lecture 6: Reclassify raster

Lecture 7: Resampling

Lecture 8: Crop raster

Lecture 9: Calculate NDVI

Lecture 10: Extract values from raster

Lecture 11: Raster mosaic

Lecture 12: Download DEM

Lecture 13: Download raster of climatic variables

Chapter 4: Last section

Lecture 1: Final message

Instructors

Andrés Salazar
Ingeniero Agrónomo MSc. Recursos Naturales

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 3 votes
5 stars: 10 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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