In our ongoing efforts to address the challenges faced by wildfires in Zimbabwe, we are actively employing satellite-based multivariate alteration detection techniques. Here's a deeper look into the specifics of this initiative and its relevance to our broader agricultural goals.
Understanding the Process
Data Source: We have chosen to work with multispectral satellite data, notably at a resolution of 10 meters. This fine resolution offers the ability to discern details that are crucial for accurate monitoring.
Frequency of Data Collection: Currently, we collect data every 10 days. We're looking into the possibility of increasing this frequency. By 2024, we aim to shorten the interval to every 5 days, allowing for more regular monitoring.
Optical Image Bands: Our primary focus has been on bands 2, 3, and 4 for optical captures. Our recent data, captured between 20/07/2023 and 30/07/2023, provides a snapshot using these bands.
Change Detection: An important aspect of our analysis involves detecting changes over time. To this end, we've employed a multivariate change detection method, which notably uses bands 4 and 8.
Relevance to Zimbabwe's Agricultural Landscape
Regular and systematic collection of this satellite data offers a methodical approach to understanding the progression and behaviour of wildfires. Fireguards, a preventive measure, can potentially be planned more efficiently using such data. With the information at hand, there's a possibility to better allocate resources and possibly reduce the negative impacts of wildfires, especially for our small-scale farmers who often find themselves at high risk.
Beyond Wildfires
It's worth noting that our interest in multivariate alteration detection extends beyond just wildfire monitoring. As part of our larger agricultural project, this technique might be applied to other areas, such as soil analysis, water resource management, and more.
In Summary
Our endeavour to merge satellite data with agricultural and ecological challenges in Zimbabwe continues. As we advance in this project, we remain committed to sharing our findings and progress. We encourage feedback and collaboration as we navigate this intricate domain.
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