EOS Data Analytics improves its EOSDA Forest Monitoring solution to further promote sustainable forest management

EOS Data Analytics improves its EOSDA Forest Monitoring solution to further promote sustainable forest management

By Dr. Kyle Muller

Eos Data Analytics has presented an improved version of its Eosda Forest Monitoring solution to help the planet cope with the growing environmental crisis. Designed to evaluate various conditions of forest masses, the platform becomes a customary solution with a client -centered approach and a series of new functions, and marks an important milestone in the field of sustainable forest management.

In this ecology article, we explain all about what Eos Data Analytics has improved its EOSDA Forest Monitoring solution to further promote a Sustainable forest management.

What are Eos Data Analytics and its Eosda Forest Monitoring solution

Forests not only absorb carbon, the main cause of climate change, but also contribute to the well -being of local communities and restore biodiversity. But these vital ecosystems are increasingly threatened by the reduction of up to 10 million hectares a year due to climate change, urbanization and aggressive felling. These alarming statistics underline the urgency of adapting intelligent and data -based forest management.
Eos data analytics, World Supplier of Satellite Image Analysis promoted by AIhas been at the forefront of this mission. Founded by Dr. Max Polyakov, the company offers EOSDA Forest Monitoring since 2021, an online software based on satellite data for a Sustainable management of forest masses.

The new EOSDA Forest Monitoring update is a personalized solution adapted to the unique needs of each client. The platform allows a wide range of users, from landowners and forest managers to wood companies, food processing companies, financial and investment organizations and research institutes, monitoring the health of forests remotely using satellite images.

Artiom Anisimov, general director of EOS Data Analytics, believes that the objective of EOSDA Forest Monitoring is to revolutionize the work of the companies dedicated to forest management, providing them with unique vision and control of their operations. The new set of functions responds exactly to that idea and allows users to make better decisions based on data, balancing productivity with sustainability. The final objective of the product is simple: greater operational efficiency for companies and a healthier planet for all of us.

The updated platform offers a series of advanced functions.

1. Forest coverage

This function detects forest coverage by comparing satellite images, offering frequent monitoring options and guaranteeing precision greater than 90% with the help of EOSDA experts. This advanced capacity can adapt to the needs of the client, offering an exhaustive knowledge of the forest landscape.

2. Deforestation

This function identifies deforestation within the specified area of ​​interest for a certain period of time. It is a crucial tool for deforestation monitoring and mitigate its impact, one of the main taxpayers to global greenhouse gases emissions.

EOS Data Analytics improves its EOSDA Forest Monitoring solution to further promote sustainable forest management - 2. Deforestation

Image: Deforestation in Western Java, Indonesia, between 2016 and 2018. Image. Eos data analytics

3. Reforestation

This function analyzes specific areas to identify those regions in which the forest has growing again. Taking advantage of satellite data, it can effectively determine where the forest has been recovered, providing valuable information for reforestation efforts.

4. Arboreal species

This function allows to distinguish between general categories of trees, such as oak, pine, birch and others, providing valuable information for specific forest management. Understanding the composition of the tree species of a forest is essential for the conservation of biodiversity and forest health management.

EOS Data Analytics improves its EOSDA Forest Monitoring solution to further promote sustainable forest management - 4. Arborean species

Image: Classification of tree species in Zhytomyr, Ukraine, 2021. Image. Eos data analytics

5. Burned area

In 2022 alone, forest fires caused the loss of 4.12 million hectares of tree coverage. This function offers an evaluation of the damage caused by fires to assess the affected territories and classify the degree of forest damage. It can also be integrated with other functions, for example, reforestation monitoring algorithms to help customers measure the effectiveness of their reforestation efforts over time.

EOS Data Analytics improves its EOSDA Forest Monitoring solution to further promote sustainable forest management - 5. Burned Area

Image: Burned Areas Before and After The California Wildfire of 2022.image. Eos data analytics

6. Forest health monitoring

This function analyzes the health of forests using a series of vegetation indexes, providing both a historical and current information with updated data approximately every eight days. The system mainly uses images of the Modis satellite, which offers a resolution of 250 meters, although it is able to use data from other satellites if necessary.

EOS Data Analytics improves its EOSDA Forest Monitoring solution to further promote sustainable forest management - 6. Forest health monitoring

Image: Forest health status before and after a forest fire in Guarda, Portugal, in 2022. Image. Eos data analytics

Future EOSDA Forest Monitoring updates of EOS Data Analytics

Future updates will include the functions of biomass estimation and carbon reserves, which will contribute to efforts to mitigate climate change. The biomass estimation function will provide information on the total mass of organic matter in a given area, which will allow to know the productivity of the forest precisely. And the carbon reserves function will allow quantifying the carbon stored in the forest.

Each function makes use of advanced artificial intelligence algorithms and a wide range of satellite data sources, such as Sentinel 1 and Sentinel 2, and, later, EOS Sat-1 of EOSDA, the first satellite of EOS SAT, the next constellation of satellites of the company. Its design allows a more precise monitoring of forest dynamics from space, providing exact and useful information for any area of ​​interest, regardless of its size.

Eos Data Analytics undertakes to promote sustainable forest practices through the power of satellite technology. Vera Petryk, Marketing Director of EOSDA, believes that solutions such as EOSDA Forest Monitoring can ultimately help preserve land health for coming generations.

The company continually perfects and expands its offer, guaranteeing that its platforms and solutions remain at the forefront of technology.

If you want to read more articles similar to EOS Data Analytics improves its EOSDA Forest Monitoring solution to further promote sustainable forest managementwe recommend that you enter our category of ecological technology.

Kyle Muller
About the author
Dr. Kyle Muller
Dr. Kyle Mueller is a Research Analyst at the Harris County Juvenile Probation Department in Houston, Texas. He earned his Ph.D. in Criminal Justice from Texas State University in 2019, where his dissertation was supervised by Dr. Scott Bowman. Dr. Mueller's research focuses on juvenile justice policies and evidence-based interventions aimed at reducing recidivism among youth offenders. His work has been instrumental in shaping data-driven strategies within the juvenile justice system, emphasizing rehabilitation and community engagement.
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