Method for locating vegetation having a potential to impact a structure

1. A method for designating vegetation as potential impact vegetation, the method comprising:

identifying, via a processor, data relating to target vegetation from a dataset;

determining, by the processor, a reach distance of the target vegetation, the reach distance comprising a distance from a point on a ground to a point of the target vegetation that is farthest from the point on the ground;

comparing, by the processor, the reach distance of the target vegetation with a closest distance between the point on the ground and a structure to produce a compared reach distance value;

determining a health indicator value for the target vegetation;

comparing the health indicator value of the target vegetation to a health indicator threshold value; and

designating the target vegetation as having a potential to impact the structure based on the compared reach distance value and the comparison of the health indicator to the health indicator threshold.

2. The method of claim 1 , wherein the point on the ground is a point where the target vegetation grows out of the ground.

3. The method of claim 1 , wherein the point on the ground is a point substantially directly below the point of the target vegetation.

4. The method of claim 1 , wherein the closest distance between the point on the ground and the structure is a base distance; and

designating the target vegetation includes designating the target vegetation as having a potential to impact the structure if the reach distance is greater than or equal to the base distance.

5. The method of claim 1 , wherein the closest distance between the point on the ground and the structure is a base distance;

designating the target vegetation includes designating the target vegetation as having a potential to impact the structure if the reach distance is greater than or equal to the base distance less a threshold distance; and

the threshold distance is equal to a predetermined distance extending from the structure.

6. The method of claim 5 , wherein the predetermined distance extending from the structure includes a value associated with a safety buffer zone, and the safety buffer zone includes at least one of a power line safety buffer zone, a railroad track safety buffer zone, a railroad overhead conductor safety buffer zone, a phone line safety buffer zone, a phone line safety buffer zone, a road safety buffer zone, a highway safety buffer zone, and a communication cable safety buffer zone.

7. The method of claim 1 , wherein identifying data relating to target vegetation from a dataset includes identifying segments of the target vegetation.

8. The method of claim 6 , wherein the identifying the segments includes filtering segmentation input data with a filter that alters a number of inputs to a filter operator or weights of individual entries among the inputs, based on one or more vegetation properties corresponding to a filter location.

9. The method of claim 6 , wherein the identifying the segments includes, for each identified segment, altering one or more segmentation parameters of the segment based on one or more properties of a seed point from which the segment is started.

10. The method of claim 1 , wherein,

determining a health indicator value for the target vegetation includes determining, by the processor, the health indicator value for the target vegetation; and

comparing the health indicator value of the target vegetation includes comparing, by the processor, the health indicator value of the target vegetation with the health indicator threshold value.

11. The method of claim 10 , wherein determining a health indicator value for the target vegetation includes calculating a color difference between an analyzed pixel and a determined reference color.

12. The method of claim 11 , wherein determining the health indicator value for the target vegetation further includes analyzing aerial image data that includes at least one of R-G-B image data, CIR image data, and spectrometric image data.

13. The method of claim 10 , wherein the instruction to determine a health indicator value for the target vegetation includes calculating a color difference between an analyzed pixel and a determined reference color.

14. The method of claim 1 , further comprising at least one of:

notifying a user of a possible impact upon the structure by the target vegetation;

displaying one or more possible points of impact upon the structure by the target vegetation;

attributing a target vegetation database with an impact table record that describes an impact between the target vegetation and the structure; and

displaying an indication that the target vegetation on a map has potential to impact the structure.

15. The method of claim 1 , wherein the target vegetation comprises a tree and a tree crown, and the structure comprises a power line, a communications line, a road, or a railroad track.

16. The method of claim 1 , wherein determining the health indicator value includes determining the health indicator value from at least one of imaged data of the target vegetation and field observation of the target vegetation.

17. The method of claim 1 , wherein identifying data relating to target vegetation from a dataset comprises identifying the target vegetation from a dataset that includes light detection and ranging (LiDAR) data, laser scanning data, radar data, synthetic aperture radar data, data from a sensor based on scanning distance-measurement and providing point clouds, digital imagery, video, or hyperspectral imaging data.

18. A tangible computer readable storage medium, including instructions for instructing a processor to:

identify data relating to target vegetation from a dataset;

determine a reach distance of the target vegetation, the reach distance comprising a distance from a point on the ground to a point of the target vegetation that is farthest from the point on the ground;

compare the reach distance of the target vegetation with a closest distance between the point on the ground and a structure to produce a compared reach distance value;

determine a health indicator value for the target vegetation;

compare the health indicator value of the target vegetation with a health indicator value threshold; and

designate the target vegetation as having a potential to impact the structure based on the compared reach distance value and the comparison of the health indicator to the health indicator threshold.

19. The storage medium of claim 18 , wherein the closest distance between the point on the ground and the structure is a base distance; and

the instruction to designate the target vegetation includes designating the target vegetation as having a potential to impact the structure if the reach distance is greater than or equal to the base distance.

20. The method of claim 18 , wherein the closest distance between the point on the ground and the structure is a base distance;

the instruction to designate the target vegetation includes designating the target vegetation as having a potential to impact the structure if the difference between the base distance and the reach distance is greater than or equal to a threshold distance; and

the threshold distance is equal to a predetermined distance extending from the structure.

21. The method of claim 18 , wherein the instruction to identify data relating to target vegetation from a dataset includes designating segments of the target vegetation.

22. The method of claim 21 , wherein designating segments of the target vegetation includes adaptive filtering.

23. The method of claim 21 , wherein designating segments of the target vegetation includes adaptive thresholding.

24. A system for designating vegetation as potential impact target vegetation, comprising:

a processor configured to:

identify data relating to target vegetation from a dataset;

determine a reach distance of the target vegetation, the reach distance comprising a distance from a point on the ground to a point of the target vegetation that is farthest from the point on the ground;

compare the reach distance of the target vegetation with a closest distance between the point on the ground and a structure to produce a compared reach distance value;

determine a health indicator value for the target vegetation;

compare the health indicator value of the target vegetation with a health indicator value threshold; and

designate the target vegetation as having a potential to impact the structure if the reach distance is greater than or equal to the reach distance threshold and if the health indicator deviates from the health indicator threshold;

a data input coupled to the processor and configured to provide the processor with the dataset; and

a user interface coupled to at least one of the processor and the data input.

25. The system of claim 24 , further comprising a data sensing device selected from a group comprising a light detection and ranging (LiDAR) system, a laser scanning system, a radar system, a synthetic aperture radar system, a system using a sensor based on scanning distance-measurement and providing 3D point clouds, a digital imaging system, and a hyperspectral imaging system.

26. The system of claim 24 , wherein the structure includes at least one of a power line, a railroad track, a railroad overhead conductor, a phone line, a phone line, a road, a highway, and a communication cable.

27. The system of claim 24 , wherein the processor is further configured to select at least one action from a group of actions comprising:

notifying a user of a possible impact upon the structure by the target vegetation;

displaying one or more possible points of impact upon the structure by the target vegetation;

attributing a target vegetation database with an impact table record that describes an impact between the target vegetation and the structure; and

displaying an indication that the target vegetation on a map has potential to impact the structure.