LIDAR data and structural modeling based elevation determination

1. A method for determining elevation based on structural modeling and light detection and ranging (LIDAR) data, comprising:

determining a basis of structure boundary for a structure based, at least in part, on LIDAR data;

generating one or more multi-dimensional models based, at least in part, on photographic data of the structure, the one or more multi-dimensional models representing one or more portions of the structure that occlude earth from LIDAR signals;

determining a structure boundary for the structure based, at least in part, on the basis of structure boundary in combination with supplemental elevation data generated using the one or more multi-dimensional models;

determining a buffer boundary based, at least in part, on the structure boundary;

determining adjacent grade values based, at least in part, on a portion of the supplemental elevation data evaluated in accordance with the structure boundary and the buffer boundary; and

using the adjacent grade values to obtain an estimate of insurance.

2. The method of claim 1 , wherein generating the one or more multi-dimensional models is performed, at least in part, using a trained artificial intelligence engine.

3. The method of claim 1 , wherein determining the adjacent grade values is further based, at least in part, on a micro digital elevation model.

4. The method of claim 1 , wherein the LIDAR data is evaluated using an automatic machine examination.

5. The method of claim 1 , further comprising identifying and excluding one or more outlier elevation data points within the portion of the supplemental elevation data.

6. The method of claim 1 , wherein determining the adjacent grade values is further based, at least in part, on excluding one or more elevation data points that deviate substantially from an approximation of local slope.

7. The method of claim 1 , wherein determining the adjacent grade values comprises determining a highest adjacent grade (HAG) value and a lowest adjacent grade (LAG) value.

8. The method of claim 7 , further comprising:

automatically inputting the HAG value and the LAG value into an electronic elevation certificate record associated with the structure.

9. A non-transitory computer-readable storage medium having stored contents that, when executed by one or more processors, cause the one or more processors to perform actions comprising:

determining a basis of structure boundary for a structure based, at least in part, on LIDAR data;

generating one or more multi-dimensional models based, at least in part, on photographic data associated with the structure, the one or more multi-dimensional models representing one or more portions of the structure that occlude earth from LIDAR signals;

determining a structure boundary for the structure based, at least in part, on the basis of structure boundary in combination with supplemental elevation data generated using the one or more multi-dimensional models;

determining adjacent grade values based, at least in part, on a portion of the supplemental elevation data and the structure boundary; and

applying the adjacent grade values to an estimation of insurance.

10. The computer-readable storage medium of claim 9 , wherein generating the one or more multi-dimensional models is performed, at least in part, using a trained artificial intelligence engine.

11. The computer-readable storage medium of claim 9 , wherein determining the adjacent grade values is further based, at least in part, on a micro digital elevation model.

12. The computer-readable storage medium of claim 9 , wherein the LIDAR data is evaluated using an automatic machine examination.

13. The computer-readable storage medium of claim 9 , wherein determining the adjacent grade values is further based, at least in part, on excluding one or more elevation data points that deviate substantially from an approximation of local slope.

14. The computer-readable storage medium of claim 9 , wherein determining the adjacent grade values comprises determining a highest adjacent grade (HAG) value and a lowest adjacent grade (LAG) value.

15. A system, comprising:

one or more processors; and

memory storing contents that, when executed by the one or more processors, cause the system to:

determine a basis of structure boundary for a structure based, at least in part, on LIDAR data;

generate one or more multi-dimensional models based, at least in part, on photographic data associated with the structure, the one or more multi-dimensional models representing one or more portions of the structure that occlude earth from LIDAR signals;

determine a structure boundary for the structure based, at least in part, on the basis of structure boundary in combination with supplemental elevation data generated using the one or more three-dimensional models;

determine adjacent grade values based, at least in part, on a portion of the supplemental elevation data and the structure boundary; and

use the adjacent grade values for insurance estimation.

16. The system of claim 15 , wherein generating the one or more multi-dimensional models is performed, at least in part, using a trained artificial intelligence engine.

17. The system of claim 15 , wherein determining the adjacent grade values comprises developing a micro digital elevation model.

18. The system of claim 15 , wherein the LIDAR data is evaluated using an automatic machine examination.

19. The system of claim 15 , wherein determining the adjacent grade values is further based, at least in part, on excluding one or more elevation data points that deviate substantially from an approximation of local slope.

20. The system of claim 15 , wherein determining the adjacent grade values comprises determining a highest adjacent grade (HAG) value and a lowest adjacent grade (LAG) value.