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Selecting and Obtaining Data

Introduction

When selecting and obtaining data for a project your first need to identify the project goals and the resolutions needs. This includes the type of remote sensing (active vs passive), the resolution needs and the cost and availability of data.

Sensor Type and Resolution

Sensor Type

Depending on the application, you will want to consider what type of remote sensing is needed. There are two primary types of remote sensing, active and passive. Most satellite based systems are passive, meaning they detect natural energy or radiation that is emitted or reflected by objects. In some applications, active remote sensing might be more appropriate. This includes all systems that provide their own energy, like Radar or Lidar systems.

Resolution

When considering resolution needs for a project, all four types of resolution need to be considered:

It is nearly impossible to acquire imagery that has high spatial, spectral, radiometric and temporal resolution. This is known as Resolution Trade-off, as it is difficult and expensive to obtain imagery with extremely high resolution. Raster files also grow exponentially in files size as the resolution increases. Therefore it is necessary to identify which types of resolutions are most important for a project and prioritize these resolutions when looking for data.

Cost and Availability

While data like Landsat are free, other data sources may cost a significant amount of money. It is important to consider cost and your project budget when choosing data. You will also need to determine the availability of the data. If you have budget and time you may be able to obtain your own data (using unmanned aircraft systems) or contract out the data acquisition

Data Sources

There are many different data sources available on the internet. The below list is not a complete list, but a guide listing some of the available resources:

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