Who is this class for: This course is targeted at those who have taken the first three courses in the GIS specialization, or who have equivalent foundational GIS experience. We encourage you to audit or enroll in those courses before taking this course.


Created by:  University of California, Davis

  • Nick Santos

    Taught by:  Nick Santos, Geospatial Applications Researcher

    Center for Watershed Sciences
Basic Info
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said
Syllabus

FAQs
How It Works
Trabajo del curso
Trabajo del curso

Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.

Ayuda de tus compañeros
Ayuda de tus compañeros

Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.

Certificados
Certificados

Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.

Creators
University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
Pricing
Comprar cursoAuditar
Accede a los materiales del curso

Available

Available

Accede a los materiales con calificación

Available

Not available

Recibe una calificación final

Available

Not available

Obtén un Certificado de curso para compartir

Available

Not available

Ratings and Reviews
Rated 4.9 out of 5 of 184 ratings

Spectacular. I am using these skills for risk assessment and I have become far more efficient and confident in my spatial analysis abilities.

Great course that helps the learner gain an understanding of remote sensing and the processing that can be done on that type of data. Also a good intro into automation (model builder). The final project helps students prepare for the Capstone.

good

good very good !