Integration of vegetation indices into digital solutions for agriculture unlock multiple opportunities for software providers, especially when satellite analytics custom solutions can be tailored to specific customer needs.
In 2021, there have been many natural disasters, most of them due to climate change. In the future, the situation will worsen unless we change production methods and improve the global environmental management system.
EOS Data Analytics, a global provider of AI-powered satellite imagery analytics, has signed an agreement with Dragonfly Aerospace that the latter will deliver the first satellite for the EOS AgriSat constellation in 2022.
EOS Data Analytics launches a platform for satellite monitoring of forest stands to provide stakeholders with sustainable forest management tools. Software will help track deforestation and detect fire hazards, save resources and preserve the environment.
Forest fires cause whopping losses globally every year and often start due to human-related ignition. Therefore, caution and wildfire prevention measures are important. Satellite monitoring helps notice and address the problem on time.
Clouds are often obstacles for optical NDVI, which negatively affect image quality and data analytics. Cloud-free NDVI helps resolve the problem as it uses radar-based imagery. This way it is possible to get accurate data even with cloud cover.
Cloud masking is important to prepare satellite images for analysis and hide useless data. It helps to reduce the probability of error and obtain more accurate results. The technique benefits many industries and is widely used in farming software.
Satellite imagery provides accurate information on environmental disasters. Use cases of natural calamities spatial monitoring in 2020 promote weighted decisions in ecological tragedy response.
GIS mapping is a widely used technology for geospatial data analysis and visualization. Take a closer look at the modern practice of interactive mapping for better decision-making.