High-Level Project Summary
This project detects transportation types which emits greenhouse gases, quantify them and determine their possible effect in different geographical areas from satellite images. There are many identifiable greenhouse gas emission entities, but for prototype purposes the most common ones were chosen, such as cars, trucks, ships and airplanes; and in order to carry out a counterweight, the detection and quantification of trees was also included, all this from a satellite image of a certain geographic area. This is important because the government having this information can develop better plans to face climate change and improve the urban planning.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
It has been known for many years that global warming is a global problem and if immediate changes are not applied, it will have serious consequences for future generations.
Glaciers are melting at a rate never seen before, sea levels rise due to thawing, forests dry up and fauna and flora struggle to survive in a scenario of sudden and complex changes that seriously impact biodiversity, floods occur. , heat waves, crop losses, among other consequences that should put climate change at the forefront of the global agenda. Scientific evidence declares that human industrial activity has caused most of the global warming of the last century through the emission of greenhouse gases and although recently there are attempts to implement regulations for their control, there are areas in which their application is difficult or null due to ignorance and lack of resources.
Therefore, this project tries to detect those factors that promote the emission of greenhouse gases, quantify them and determine their possible effect in different geographical areas from satellite images. There are many identifiable greenhouse gas emission entities, but for prototype purposes the most common ones were chosen, such as cars, trucks, ships and airplanes; and in order to carry out a counterweight, the detection and quantification of trees was also included, all this from a satellite image of a certain geographic area.
From the quantifiable data obtained, different studies can be carried out, mainly of environmental impact and without a doubt in the short term it is planned to include many other pollution factors also detectable through satellite images and make our model more robust and reliable.
We propose a transfer learning approach using the yolo-V5 model (https://github.com/ultralytics/yolov5). The approach proposed consists of three stages: preprocessing, detection of ROI (Region of Interest), and an overview of the content. First, preprocessing, the images are first resized to the size of 500 × 500 so that it can be fed to the yolo-V5 model. Second, detection of ROI, The yolo-V5 model is composed of several convolutional layers connected in a sequential way, we used this technique to detect our ROI. Finally, we did a sequential count of the different elements present in the analysis image.
In addition; we develop a mobile application to allow a user to enter the satellite image as input, send it to the processing service through REST APIs and obtain the tagged image accompanied by metadata obtained from the processing and display it to the user.
Space Agency Data
Space Agency Data*
We did not use data from NASA. We used a dataset with different satellite images (https://github.com/ihians/simd/tree/master/images). However, we labeled it for our specific task. The dataset contains 65 images with many sources of greenhouse gas such as boats, planes, trucks, and cars. Besides, we labeled tree images
Hackathon Journey
It was a pleasant experience to share knowledge with different people, see various points of view and above all it was very motivating as each of the participants tried to solve the different problems that affect our environment. It is events like this that inspire people to promote technology and make the most of it to generate solutions to everyday problems and make our existence more satisfying.
As global warming is a global problem and requires the highest priority, we wanted to do our bit to reduce it as soon as possible.
To define the solution perspective, several discussions were held, until it was concluded that the emission of greenhouse gases comes mainly from the combustion of fossil fuels, which is why it was decided to face the problem by analyzing the entities that consume.
References
Tags
#greenhouse, #yolo, #climatechange