(LACCEI, 2025-07-18) Andrés-F Jiménez López, Fabián-R Jiménez López and Fredy Hadid Villanueva de la Ossa; Universidad de los Llanos, Universidad Pedagógica y Tecnológica de Colombia
The observation of agricultural crop conditions through satellite platforms has been of vital
importance for the development of decision making systems in the field Passive sensors
determine land surface conditions by measuring the reflectance of solar radiation, while radar
satellites emit their own radiation Active satellites can acquire information even under cloudy
conditions, unlike passive satellites, which lose functionality The purpose of this work is to study
the use of both types of satellites for analyzing vegetation cover in citrus crops and to evaluate the
possibility of replacing passive sensor data with active data, along with training recurrent neural
networks, particularly Long Short Term Memory (
