Adaptive satellite data acquisition optimization platform
An automated satellite data acquisition optimization platform is disclosed that dynamically manages and optimizes satellite-based data collection operations. The platform incorporates real-time analysis of multiple variables including but not limited to weather conditions, orbital parameters, sensor capabilities, and collection requirements to determine optimal data acquisition opportunities. Through continuous monitoring and assessment of physical feasibility factors such as satellite status, terrain obstructions, and environmental conditions, alongside competitive feasibility considerations including orbit availability and targeting geometries, the platform automatically selects and tasks the most suitable collection assets. The platform employs data enhancement capabilities to improve collection quality and maintains quality control through automated validation processes. By dynamically responding to changing conditions and requirements, the platform significantly reduces resource waste and improves collection success rates. The platform integrates with existing satellite infrastructure while providing a flexible framework for optimizing data acquisition across varying operational scenarios and mission requirements.
1 . A computing system for an adaptive satellite data acquisition optimization platform, the computing system comprising:
one or more hardware processors configured for:
receiving a work order that utilizes a first plurality of satellite assets, wherein the work order specifies imaging data collection requirements;
calculating a physical and temporal feasibility of the work order based on a plurality of physical and temporal conditions for the first plurality of satellite assets;
identifying a second plurality of satellite assets wherein the temporal and physical conditions allow the second plurality of satellite assets to complete the work order;
collecting a plurality of physical data to determine physical conditions, wherein the physical data includes at least Earth weather, space weather, and geographical conditions;
developing a data collection plan based on the determined physical and temporal feasibilities and a plurality of capabilities of the second plurality of satellite assets, wherein the plurality of capabilities comprises sensor imaging characteristics including at least sensor type and spatial resolution, and wherein developing the data collection plan comprises selecting between different sensor types based on the collected physical data; and
fulfilling the work order using an optimally selected satellite asset from the second plurality of satellite assets, wherein the optimally selected satellite is most capable of completing the work order based on the physical and temporal feasibilities.
2 . The computing system of claim 1 , wherein the plurality of capabilities includes at least spatial resolution, spectral capabilities, and basic orbital parameters.
3 . A computer-implemented method for an adaptive satellite data acquisition optimization platform, the computer-implemented method comprising the steps of:
receiving a work order that utilizes a first plurality of satellite assets, wherein the work order specifies imaging data collection requirements;
calculating a physical and temporal feasibility based on a plurality of physical and temporal conditions for the first plurality of satellite assets;
identifying a second plurality of satellite assets wherein the temporal and physical conditions allow the second plurality of satellite assets to complete the work order;
collecting a plurality of physical data to determine physical conditions, wherein the physical data includes at least Earth weather, space weather, and geographical conditions;
developing a data collection plan based on the determined physical and temporal feasibilities and a plurality of capabilities of the second plurality of satellite assets, wherein the plurality of capabilities comprises sensor imaging characteristics including at least sensor type and spatial resolution, and wherein developing the data collection plan comprises selecting between different sensor types based on the collected physical data; and
fulfilling the work order using an optimally selected satellite asset from the second plurality of satellite assets, wherein the optimally selected satellite is most capable of completing the work order based on the physical and temporal feasibilities.
4 . The computer-implemented method of claim 3 , wherein the plurality of capabilities includes at least spatial resolution, spectral capabilities, and basic orbital parameters.
5 . A system for an adaptive satellite data acquisition optimization platform, comprising one or more computers with executable instructions that, when executed, cause the system to:
receive a work order that utilizes a first plurality of satellite assets, wherein the work order specifies imaging data collection requirements;
calculate a physical and temporal feasibility based on a plurality of physical and temporal conditions for the first plurality of satellite assets;
identify a second plurality of satellite assets wherein the temporal and physical conditions allow the second plurality of satellite assets to viable complete the work order;
collect a plurality of physical data to determine physical conditions, wherein the physical data includes at least Earth weather, space weather, and geographical conditions;
develop a data collection plan based on the determined physical and temporal feasibilities and a plurality of capabilities of the second plurality of satellite assets, wherein the plurality of capabilities comprises sensor imaging characteristics including at least sensor type and spatial resolution, and wherein developing the data collection plan comprises selecting between different sensor types based on the collected physical data; and
fulfill the work order using an optimally selected satellite asset from the second plurality of satellite assets, wherein the optimally selected satellite is most capable of completing the work order based on the physical and temporal feasibilities.
6 . The system of claim 5 , wherein the plurality of capabilities includes at least spatial resolution, spectral capabilities, and basic orbital parameters.