Awards & Nominations
WRM has received the following awards and nominations. Way to go!
WRM has received the following awards and nominations. Way to go!
To explore marine debris quickly and developed. We will develop an application that helps to sense marine debris and determine its size and type in an effective and other harmful way. It can be used at any time and in an easy way
Our application is aimed at all people in general and sailors in particular to facilitate the detection and disposal of marine debris. Our app works by sensing and exploring marine debris. The language used is Python
[Data] Marine Debris Monitoring and Assessment Project (MDMAP) Accumulation Report: Plastic Pollution (https://globalearthchallenge.earthday.org/datasets/671a16c229a34123b80a3db8ec2bcb2c_0/explore) Sourced from the NOAA, this is the integrated, cleaned, and filtered version of the Marine Debris Monitoring and Assessment Program's Accumulation Data set. Sourced from the Ocean Conservancy
2. CYGNSS Level 2 Climate Data Record Version 1.1 (https://cmr.earthdata.nasa.gov/search/concepts/C2001277246-PODAAC.html )
This dataset contains the Version 1.1 CYGNSS Level 2 Climate Data Record which provides the time-tagged and geolocated average wind speed (m/s) and mean square slope (MSS) with 25x25 kilometer resolution from the Delay Doppler Mapping Instrument aboard the CYGNSS satellite constellation
A wonderful experience full of benefits and experiences. I thank my co-operative and hard-working team
Python by jupiter notebook
User interface design by flask
#marinrdebris
This project has been submitted for consideration during the Judging process.
Marine debris is one of the most pervasive threats to the health of coastal areas, oceans, and waterways. Your challenge is to leverage Artificial Intelligence/Machine Learning to monitor, detect, and quantify plastic pollution and increase our understanding about using these techniques for this purpose.

