01-remote_sensing.Rmd

# (PART) Remote Sensing {.unnumbered}

# Remote Sensing 101

## Learning outcomes

By the end of this practical you should be able to:

1.
1.

## Homework

Outside of our scheduled sessions you should be doing around 11 hours of extra study per week. Feel free to follow your own  interests, but good places to start include the following:

::: {.infobox .assignment data-latex="{note}"}

**Workbook**

Each week you need to write a response to the workbook questions

:::

::: {.infobox .note data-latex="{note}"}
**Reading**

- Landsat: Building a strong future, @lovelandLandsatBuildingStrong2012
- Global science for city policy, @MicheleAcuto2018
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat,  @wulderOpeningArchiveHow2012
- [NASA remote sensing background](https://earthdata.nasa.gov/learn/backgrounders/remote-sensing)

**Watching** 

- [What is remote sensing](https://www.youtube.com/watch?v=N49PzLDUIFQ)
:::

## Introduction 

Within this first practical we are going to focus on loading and manipulating remotely sensed data and exploring the different resolutions. 

All data from remote sensing is raster based, but the data itself can come in a variety of formats such as ASCII (ESRI format), GeoTiff, band sequential and more.It's important to know that fundamentally they are all still the same gridded raster data, but you may need to use different functions to load them. 

## Images 



## Resolutions 

In Earth Observation there are four main resolutions that dictate the viability (and usefulness) of the data, based on the application. These resolutions are:

* Spectral 
* Spatial
* Temporal
* Radiometric 

## Sensors 

## Data exploration