Mapping Lomas

UNDP

Mapping Lomas is a project that uses satellite image technology to analyze the vegetation cover on the hills, identifying areas of greening and evaluating geographic factors such as orientation and altitude. By providing accurate vegetation data, this project supports environmental conservation and territorial planning. Their approach allows scientists and planners to gain a detailed understanding of the Lomas ecosystem, facilitating conservation efforts and helping to mitigate the impacts of climate change on these unique habitats.

Mapping Lomas responds to the need for detailed information on vegetation cover in lomas ecosystems. It uses satellite technology to provide accurate data that supports environmental conservation and territorial planning, allowing effective management of these vulnerable ecosystems.

Satellite Data Analysis: Utilizes MODIS imagery to study vegetation patterns. Time-Series Examination: Analyzes vegetation changes over a period of at least 20 years. Geographic Correlation: Investigates the influence of altitude, slope, and orientation on vegetation. Vegetation Mapping: Generates detailed maps showing vegetation frequency and distribution. Statistical Graphs Creation: Develops graphs to illustrate the correlation between vegetation and geographic factors. Data Visualization: Employs advanced visualization techniques for clear representation of findings.

Incorporates Modis satellite images for environmental analysis using moderate-resolution imaging spectroradiometer data. Applies NDVI metrics to accurately assess vegetation health. Implements Jupyter Notebooks to facilitate data analysis and visualization through modular Python notebooks. Employs advanced techniques for geospatial data processing, ensuring efficient information management. Follows a sequential analysis approach for comprehensive study. Utilizes visualization libraries like Matplotlib and Plotly for interactive and c