Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil)

The rainfall has a direct influence on the agricultural productivity, being indispensable the knowledge of its spatiotemporal behavior in order to establish trends that will assist in the management of water resources, agricultural planning, hydrological monitoring and prevention of natural disaster...

Full description

Autores:

Quirino, Dayanna Teodoro
Casaroli, Derblai
Jucá Oliveira, Rômulo Augusto
Mesquita, Márcio
Pego Evangelista, Adão Wagner
Alves Júnior, José

Tipo de recurso:

Article of journal

Fecha de publicación:

2017

Institución:

Universidad Nacional de Colombia

Repositorio:

Universidad Nacional de Colombia

Idioma:

spa

OAI Identifier:

oai:repositorio.unal.edu.co:unal/65972

Acceso en línea:

https://repositorio.unal.edu.co/handle/unal/65972
http://bdigital.unal.edu.co/66995/

Palabra clave:

63 Agricultura y tecnologías relacionadas / Agriculture
Precipitación
sensoriamento remoto
exactitud
TRMM

Rights

openAccess

License

Atribución-NoComercial 4.0 Internacional