Biodiversity and Evolution| Scanning for Lifeforms
Scanning for Lifeforms
Generate alert for the impact that animal migration has on biodiversity in Caquetá, Colombia
Summary
This project will be developed in the Department of Caqueta, Colombia, where a progressive deforestation is detected by observing the Terra satellite of NASA. This has affected and caused an alteration in biodiversity due to its proximity to the Chiribiquete Natural Park, being an important biome in Colombia. A reduction in habitat quality bioindicator families, such as Ursidae, Aligatoridae and Felidae, will be observed. They will be monitored by means of hyperspectral cameras according to the temperature range and morphology that characterizes each family, where it will be sought to analyze their behavior that they present when their habitat is altered
How We Addressed This Challenge
What did you develop?
We are developing a heat sensor monitoring system that captures a range of temperature according to the families that we select as the object of study since they are threatened by the fragmentation of their habitat as a result of deforestation.
Why is it important?
This monitoring system is important since by capturing the temperature range we will be able to find the selected families, thus observing the behavior that individuals present when their habitat is being altered, having a record that helps to raise awareness, prioritize and reserve these areas for mitigate human-caused deforestation product of fragmentation by livestock and agriculture.
What does it do?
This monitoring looks for an established heat trace for the different families in study. Once the monitoring is obtained, the body temperature of the specimen will be automatically measured and a family check will be carried out by digitizing the infrared image obtained, comparing it with a database that must be carried out beforehand through the test exercises that are made. to the drone.
How does it work?
Our drone will be put into operation to scan an area. This drone will be fitted with a series of thermal hyper spectral cameras. These cameras will digitize an image in which we can obtain information with the temperature range of the family, classifying it into Ursidae, Alligatoridae and Felidae, depending on a range of body temperature that is characteristic of the families. In order for the image digitization process to be carried out, it is necessary to work with neural networks that can be programmed using Python software. In order to automatically discriminate the specimens of the different families analyzed, a database must be created previously, said database will be built using the FLIR Duo Pro R camera in the visible and infrared spectrum modes. These measurements will be carried out during the day to visualize the data obtained in both spectra and perform a manual classification of these images in the three families studied (Ursidae, Alligatoridae and Felidae).
What results can we expect?
With this system, we hope to be able to make an accurate record of the abundance of specimens per family and that this may influence entities in charge of protecting biodiversity such as Corpoamazonia, to make final decisions regarding these biomes that are being fragmented and deforested.
How We Developed This Project
What inspired us to work?
Concern for the environment has been in decline in recent years in an alarming way, human actions such as deforestation generate ecological impact on issues such as global warming due to the accumulation of greenhouse gases. The endemic conditions of the species are affected by these factors and generate migratory processes towards areas that offer them resources for their survival.
What is your approach to developing this project?
Implement artificial intelligence in drones to be able to track species as objects of study, taking into account their temperature and body silhouette for the benefit of the preservation and registration of biodiversity
What tools?
AeroHyb Hybrid Drone, FLIR Duo Pro R camera, PC, Pyton, Microsoft, Filmora.
Databases: EARTH DATA - Terra - gbif - Scielo- Java- Panoply.
What problems and achievements did the team have?
Achievements
Good teamwork- Acquire knowledge on various topics- Meet people from different localities- Learn about biodiversity from other regions- We develop skills in managing scientific databases- Multicultural and professionals from various areas - People committed to the end
Problems
Event platform did not work when sending the project, it generated errors when transcribing the project- Connectivity
How We Used Space Agency Data in This Project
The data provided by NASA and other space agencies were used to draw conclusions or corroborate quantitative and qualitative hypotheses about the environmental problem caused by deforestation, which is one of the most important consequences that we consider, produce the displacement of fauna in the Caquetá. For example, thanks to the tool provided by NASA such as Giovanni - Nasa, we were able to extract soil temperature and CO2 data for the Caquetá in specific, and we were able to graph the relationships of these variables versus months of the year, we also managed to verify how The increase in CO2 (carbon dioxide) influences the increase in soil temperature, as well as quickly visualizing the potential deforestation alerts that exist in Caquetá.
Project Demo
Data & Resources
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