Gis-driven analyses of remotely sensed data for quality assessment of existing land cover classification

Ammatzia Peled, Michael D. Gilichinsky

Research output: Contribution to journalConference articlepeer-review

Fingerprint

Dive into the research topics of 'Gis-driven analyses of remotely sensed data for quality assessment of existing land cover classification'. Together they form a unique fingerprint.

Keyphrases

Computer Science

Earth and Planetary Sciences

Engineering