Why Previsia Satellite Data is Important for the Amazon?

Previsia; With its enormous biodiversity and immense carbon sequestration potential, the Amazon rainforest is essential for maintaining a healthy environment around the world. However, in recent years, deforestation and other human-related activities have created serious threats to this critical region. To respond to these threats effectively and preserve the rainforest’s natural balance, it is vital that current insights into activity in the Amazon be enhanced. This is where PrevisIA Satellite Data comes into play; PrevisIA provides real-time monitoring capabilities to ensure accurate insights on land use change dynamics over large areas of the forested area such as that found within the Amazon Rainforest. In this blog post, we will explore why satellite data from PrevisIA has become an invaluable source of information for protecting this precious resource.

What is PrevisIA satellite data and how does it work?

Previa satellite data is a type of 3D mapping that collects information about the environment by using light waves. It is often used for monitoring natural disasters and can help first responders better understand how an event has unfolded.

Previa satellite data works by detecting the light waves that are bounced off of objects in the environment. This information is then processed to create a 3D map of the area. This data can be used to track changes in the environment over time, as well as to help first responders during a disaster.

 How is PrevisIA satellite data being used in the Amazon rainforest?

Previa satellite data is being used in the Amazon rainforest to help protect it from deforestation.

Precision agriculture, or “precision farming”, is a term that’s used to describe a set of modern farming practices that are aimed at improving the accuracy and precision with which crops are grown. One of the main goals of precision agriculture is to optimize inputs (e.g., water, fertilizer, seed) while reducing waste. Precision agriculture can be accomplished through the use of various technologies, including satellites.

One company that’s using satellite data to help protect the Amazon rainforest is called Previa. Previa is a French company that specializes in providing real-time mapping and monitoring services for forestry and agricultural professionals. By using 3D mapping technology, PrevisIA is able to provide insight into the land use changes that are occurring in the Amazon rainforest. This data can be used to better understand deforestation patterns and trends, as well as inform decision-making processes such as agricultural management practices.

What are some of the benefits of using PrevisIA satellite data in the Amazon?

Using PrevisIA satellite data in the Amazon can help improve understanding of the interactions between deforestation, climate and carbon emissions.

 

Previa is an innovative tool that merges different types of data (satellite images, meteorological observations, etc.) to provide high-resolution information on land use and land cover changes. This information can then be used to improve our understanding of the dynamics of the Amazon forest and its role in global climate change.

How can you get involved?

There are many ways to get involved in the fight against Alzheimer’s disease. You can start by educating yourself about Alzheimer’s and its risk factors. You can also donate time or money to organizations that are working to find a cure for Alzheimer’s. Finally, you can raise awareness about Alzheimer’s by sharing information about the disease on social media or by talking to your friends and family about it.

Final Thought

satellite data provides insights that help users understand and monitor potential fires in the Amazon. The data is also helpful for predicting how a fire will develop over time, which can help with preventative measures. PrevisIA offers a 14-day free trial so you can explore the benefits of their service for yourself.

 

 


Comments

Leave a Reply

Your email address will not be published. Required fields are marked *