Publications by Ivan Lizarazo
Land Cover Change Metrics
1. Introduction This notebook illustrates land cover change in Montes de Maria from 2001 to 2017. Land cover categories are represented by two raster datasets extracted from the Collection 6 MODIS Land Cover MCD12Q1 product. MCD12Q1 supplies global maps of land cover at annual time steps and 500-m spatial resolution for 2001-present. The product ...
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Get Soil Moisture Data from R
Why this notebook? This notebook outlines a basic use workflow for the smapr library. It illustrates how to acquire and process NASA (Soil Moisture Active-Passive) SMAP data, crop the data to match the extent of the area of interest, save the output, and generate some simple visualizations. This notebook aims to help Geomatica Basica students at ...
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Getting Landsat 8 data from R
1. Introduction Getting satellite image datasets for the study area is a first task in several research projects. It is usually conducted throught a myriad of web applications set up by the data providers. This means that, many times, such a task is conducted independently of the remaining research processes. This notebook tests functionalities o...
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Thematic cartography in R
1. Why this notebook? This is an R Markdown Notebook illustrating thematic cartography for a Departament in Colombia. It has been created, compiled and published from RStudio Cloud. This notebook aims to help Geomatica Basica students at Universidad Nacional to learn how to make thematic maps in R. Every student should replicate this notebook BUT...
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Exploring and mapping agricultural statistics
1. Why this notebook? This is an R Markdown Notebook illustrating estadisticas agricolas for the Antioquia departamento in Colombia. It has been created, compiled and published from RStudio Cloud. You are advised to use your own RStudio local installation, if you have one. Otherwise, do it on the cloud. This notebook aims to help Geomatica Basica...
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Getting, processing and visualizing elevation data
1. Why this notebook? This is an R Notebook created using R Studio Cloud. It illustrates several functionalities to obtain, process and visualize digital elevation models in R. It aims to help Geomatica Basica students at Universidad Nacional with their home activities during this time of social distancing. Everybody should publish a similar note...
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How the sp method over works?
The GIS operation known as map overlay combines spatial features from one map layer with the attribute (numerical) properties of another. This R Markdown Notebook explains the R method over, which provides a consistent way to retrieve indices or attributes from a given spatial object (map layer) at the locations of another. It aims to help Percep...
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Landsat Image Exploration
Introduction This is an R Markdown Notebook which illustrates and extends instructions from the tutorial on remote sensing image analysis written by Aniruddha Ghosh and Robert J. Hijmans. In the original tutorial Ghosh and Hijmans describe how to access and explore satellite remote sensing data with R. They also show how to use them to make maps....
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Time series of MODIS vegetation indices
1. Introduction This notebook illustrates how to obtain time series of remote sensing data using a simple API. This notebook is written to help Geomatica Basica students at Universidad Nacional de Colombia to become familiar with geospatial functionalities provided by the R software environment. This notebookâs code follows closely the Web Time...
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Segmentation of natural color images
Introduction This notebook explores image segmentation for land cover classification. It aims to help Geomatica Basica students at Universidad Nacional de Colombia to become familiar with geospatial functionalities provided by R base and contributed libraries. Thus, our objective here is to develop a land classification of a given region based on...
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