Study cases

CASE STUDY 1: Tool for generating deforestation and burning alerts

The Amazon Regional Observatory has developed a methodological tool based on an algorithm that allows generating deforestation and burning alerts. The methodology has three fundamental parts, the pre-processing of satellite data, the analysis of images and the interpretation of the results obtained. The entire methodology was developed on the Google Earth Engine platform, therefore the algorithm script and an application are available.

In order to use the tool, the following steps must be followed:

• As a first step, you must register on the Google Earth Engine Platform through the following link https://earthengine.google.com, to which requires a Gmail account. Once the registration is done, the user will receive a confirmation email in a few days.
  
• Once registered with Google Earth Engine, you can go to the following link https://code.earthengine .google.com/?accept_repo=users/rrcp/ORA, and select the script “Caso_1_Deforestation_Fires”, then you can run it.

Next, the developed application is presented:

CASE STUDY 2: Tool to detect changes in forest cover and other land uses.

The Amazon Regional Observatory has developed a case study on a methodological tool that allows processing and generating information about the spatial distribution of forests and other land use covers, defined within the framework of the IPCC (Intergovernmental Panel on Climate Change) guidelines. The methodology demonstrates the application of artificial intelligence through the use of machine learning algorithms, to obtain the spatial distribution of forests and other covers. The entire methodology was developed on the Google Earth Engine platform, so it has the algorithm script.

In order to use the tool, the following steps must be followed.

• As a first step, you must register on the Google Earth Engine Platform through the following link https://earthengine.google.com, to which is necessary to have a Gmail account. Once the registration has been made, the user will receive a confirmation e-mail in a few days.
• Once registered with Google Earth Engine, you can enter the following link https://code.earthengine.google.com/6c4f520a93b82753db0b67c0e2cc40ba< /a>.