| Idea Name: |
Reforestation Pakistan |
| Slogan: |
Analysis of Reforestation Potential in Pakistan |
| Supervisor Name: |
Rafia Mumtaz |
| Supervisor Designation: |
Tenured Professor |
| Supervisor School: |
SEECS |
| Supervisor Department: |
Department of Computing |
| Contact number: |
+923425563343 |
| Email ID: |
[email protected] |
| Abstract: |
| Pakistan is one of the countries most at risk due to climate change. Only 6% of our area is forested while the recommended is 20%. Our approach is to analyse the potential for reforestation using ML. |
| What is the unmet need in society that your idea will fulfill ? |
| To simplify the process of Reforestation and provide useful insights on the subject using modern tools and techniques while providing useful metrics for identification of areas with high potential for reforestation. |
| Who needs it ? How many would benefit ? |
| It is required by government as well as climate change action groups. The benefits of this project would encompass the entire global society. |
| How will the solution works |
| We shall apply unsupervised ML on dataset images gathered via satellites such as Sentinel 2 and MODDIS. After that, we shall further apply DL algorithms to see the difference in formation of clusters. Finally, we shall apply a time series data analysis to effectively quantify the effect of deforestation in areas of potential. |
| Who are your competitors ? How is your solution different |
| This approach has not been explored in Pakistan nor has it been explored at the scale being undertaken by us. |
| Status: |
new |
| Entry Date & Time: |
2021-12-14 (0510) |
