Our consultancy offers a technical solution for monitoring infrastructure project development relative to budget expenditures using advanced geospatial analytics. By integrating financial data with progress indicators captured via satellite imagery and on-site sensors, we create a dynamic dashboard that visualizes project advancement in real time. Python scripts automate the correlation between physical progress and financial spending, highlighting discrepancies and potential budget overruns. This facilitates proactive decision-making, ensuring that projects stay on schedule and within budget, and enhances transparency for all stakeholders involved.
Learn MoreWe utilize Google Earth Engine's vast geospatial databases in conjunction with Python to automate the modeling of dam water availability through surface water reflectance analysis. By processing satellite imagery, we extract historical and current data on reservoir surface areas, which is then related with known historical water volume levels. This automated system enables the detection of trends and anomalies in water availability, providing critical insights for national and regional agricultural stakeholders. The resulting models inform irrigation planning and water resource management, aiding in mitigating the impacts of water scarcity on crop yield and agricultural productivity.
Learn MoreLeveraging the capabilities of Google Earth Engine and Python, we automate the monitoring of vegetation changes in naturally protected areas using the Normalized Difference Vegetation Index (NDVI). Our system processes multi-temporal satellite imagery to detect subtle shifts in vegetation health and coverage. By identifying areas of deforestation, degradation, or ecological stress, we provide environmental agencies with actionable data to implement conservation strategies promptly. This technology-driven approach supports the preservation of biodiversity and the sustainable management of protected ecosystems.
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