RSDM-GeoSci 2023 Node

Glad to present our ongoing work about "finding hidden earthquakes from DAS data" RSDM-GeoSci 2023. Also, learned a lot from other works going on for sensing data. Below a quick node to share.

RSDM-GeoSci 2023, ?

1, Promote the use of NASA acquired commercial data. Large volume of images/many files. S3 storage, STAC (spatiotemporal asset catalog) index, Apache Airflow, Inconsistent in spatial and temporal data. Aerosol Optical Depth, sea ice, surface water extent, https://www.earthdata.nasa.gov/esds

?Scalable Data Management and Applications for NASA’s Commercial Smallsat Data Acquisition (CSDA) Program, Authors Dr. Aaron Kaulfus

2,? Using drone to Protect the Wildlife

Edge Computing for Efficient Data Management in Remote Sensing with a Group of Aerial Robots: Design Considerations” Authors: Juliet Lee?

3, ? Use “population mental health,? population health, geoscience” data to predict the stroke in a Personalized way.??

Topics:“Predicting Stroke Risk: An Analysis of Demographic and Clinical Factors Using Machine Learning Methods”; Authors: Manoj P

4,? (1)DataStorm: End-to-end disaster planning and response via simulation, which considers geo-spatial frames and different resolutions over time.? DataStorm also provides real-time queries (requires deadline-driven I/O scheduling).? (2) Federated analytics based contact tracing. knowledge distillation and federated learning.?

“DataStorm (from Cloud to Edge): A Data-driven System for Disaster Management” Dr. Ming Zhao

5,? How to find hidden earthquakes on data from highly dense sensors.?

Topics: “Complexity of Parallelizing Template-matching Algorithm for Earthquake Detection on DAS Data”

Authors: Bin Dong, Avinash Nayak, Kesheng Wu, Veronica Rodriguez, Jonathan Ajo-Franklin

6,? Using satellite images to study the soil salinity.

Topics: “Assessing soil salinity mapping through land degradation index using remote sensing techniques”

Authors: Abdelwahed Chaaou, Mohamed Chikhaoui, Mustapha Naimi, Aissa Kerkour El Miad and Marieme Seif-Ennasr

Missed all below great talks.?

7, Topic: “Data-efficient Deep Learning for Remote Sensing” Prof. Dr. Damian Borth

8, Topics: “Advanced Machine Learning Algorithms for Multi-Remote Sensing Data Analysis and Disaster Management: A Case Study of Typhoon Mangkhut” Yuetong Ma and Hui Zeng

10,? Topic: “A Foundation Model for Earth Observation”

Invited speaker: Dr. Dan Hammer