Track And Monitor Forests Using EOfactory.ai – Saving The Amazon Rainforest Case Study
In the past few weeks, there has been news trending on various tablets and newsletters on a certain topic – Deforestation of the Amazon rainforest. It has been estimated that in 2019 alone, Brazil destroyed more than 10,000 sq km of the healthy Amazon forest. In this regard, it is particularly important for governments to keep monitoring their forests on a weekly basis. The Amazon is the world’s largest rainforest and the largest river basin on the planet. The rainforest accounts for about 10% of animal species in the world. Isn’t that fascinating? Today, Amazon is facing many threats as a result of unsustainable economic development; 20% of the Amazon biome has already been lost and the trend will worsen if gone unchecked. WWF estimates that 27 percent – more than a quarter – of the Amazon biome will be without trees by 2030 if the current rate of deforestation continues
Our EOFactory.ai platform provides forest officers with a powerful tool, the online downloading of imagery. It can download satellite images covering district/statewide areas. EOfactory.ai can then run image analytics on this imagery downloaded. EOFactory.ai can extract the forest cover within a couple of hours and document it for further analysis. The added advantage with EOFactory.ai is the RADAR accessibility when there is cloud cover and optical images fail to provide the required information, RADAR will cover the blind spot.
A Case Study – Rondônia, Brazil – Done on EOfactory.ai
Rondônia is one of the 26 states of Brazil, located in the western part of the country, next to Bolivia. Rondônia is one of the worst deforested states in Brazil.
The green in the images shows not much man-made activities being done in the forest. However, other colors shows the man-made activities that are occurring in the forest.
Conclusion: With EOFactory.ai, any forest authority can monitor their forest and take required legal actions against encroachment. With RADAR + Optical image accessibility, there is no blind spot and no one can challenge its authenticity.