Remote Sensing data collection planning of satellite is made according to（customer’s） request

satellite instruments and ground station available.The varity requests of（customer’s） and the instrument constrains of satellite.Lead to an optimization problem

that is the utility of the satellite resources and ground station resources.This paper analyses the factors affecting satellite mission planning

then presents algorithms rules for remote sensing data collection planning.According to these algorithms rules

we established the executive flow for optimization algorithms which can solve the conflicts between（customer’s） requests and utility constrains of satellite and ground station.The（customer’s） requests could be satisfied more effectively.