Published:
Read about a project completed during my internship at Descartes Labs. In this work, a Generative Adversarial Network was used to translate radar imagery into vegetation indices, providing a method for researchers to understand vegetation strength when optical imagery is clouded or unavailable.
Published:
Read about a project completed during my internship at Descartes Labs. In this work, a Generative Adversarial Network was used to translate radar imagery into vegetation indices, providing a method for researchers to understand vegetation strength when optical imagery is clouded or unavailable.
Published:
Check out a project that uses a Generative Adversarial Network and high-resolution satellite imagery to visualize features predictive of residential electricity consumption.
Published:
Check out a project that uses a Generative Adversarial Network and high-resolution satellite imagery to visualize features predictive of residential electricity consumption.
Published:
Check out a project that uses a Generative Adversarial Network and high-resolution satellite imagery to visualize features predictive of residential electricity consumption.
Published:
Read about a project completed during my internship at Descartes Labs. In this work, a Generative Adversarial Network was used to translate radar imagery into vegetation indices, providing a method for researchers to understand vegetation strength when optical imagery is clouded or unavailable.
Published:
Check out a project that uses a Generative Adversarial Network and high-resolution satellite imagery to visualize features predictive of residential electricity consumption.
Published:
Read about a project completed during my internship at Descartes Labs. In this work, a Generative Adversarial Network was used to translate radar imagery into vegetation indices, providing a method for researchers to understand vegetation strength when optical imagery is clouded or unavailable.
Published:
Read about a project completed during my internship at Descartes Labs. In this work, a Generative Adversarial Network was used to translate radar imagery into vegetation indices, providing a method for researchers to understand vegetation strength when optical imagery is clouded or unavailable.
Published:
Check out a project that uses a Generative Adversarial Network and high-resolution satellite imagery to visualize features predictive of residential electricity consumption.