Granted Patent B2

US 12,573,143 · App. 18/327,742 · Granted Mar 10, 2026

Inventors: Nicole Beck (Santa Cruz, CA); Tyler Nodine (Santa Cruz, CA); Catherine Riihimaki (Annandale, NJ); Gary Conley (Santa Cruz, CA); Margaret Mathias (Santa Cruz, CA); Nathaniel Evatt (Oceanside, CA); Patrick Smyth (Santa Fe, NM)

Assignee: 2ndNature Software Inc.

G06T17/05G06Q50/26

Abstract

Claims (40)

1 . A method for identifying stormwater management opportunities, comprising:

gathering spatial data for a region;

rasterizing the spatial data into a set of raster data layers;

forming a plurality of benefit maps of the region using subsets of the set of raster data layers, wherein the plurality of benefit maps corresponds to a plurality of benefit categories, wherein each benefit map indicates an opportunity for improvement in the corresponding plurality of benefit categories for the region;

generating an opportunity map by combining a subset of the plurality of benefit maps using a set of weights where each of the set of weights assigns a relative importance to one of the subset of the plurality of benefit maps, wherein the opportunity map includes an opportunity score for a portion of the region that indicates an estimated potential for achieving the benefits of the subset of benefit maps if stormwater management projects are implemented; and

displaying the opportunity map on a user interface.

2 . The method of claim 1 , further comprising:

normalizing the set of raster data layers.

3 . The method of claim 1 , wherein the spatial data includes data of at least one data type selected from the group consisting of vector data and raster data.

4 . The method of claim 1 , wherein the spatial data relates to at least one data category selected from the group consisting of stormwater pollution, drainage distance to impaired waterbody, water pollution risk, trash priority land use area, stormwater runoff, drought risk, groundwater basin, soil infiltration capacity, hydrologic soil type, area of imperviousness, local flooding frequency, historical precipitation, projected change in precipitation, biodiversity, urban heat island condition, current greenness level, community socioeconomic status, park proximity, and public exposure.

5 . The method of claim 1 , wherein the plurality of benefit categories includes at least one benefit category selected from the group consisting of runoff reductions, water quality improvements, urban greening, community enhancement, natural habitat protection, water supply resilience, flood risk protection, urban temperature reductions, and climate change mitigation.

6 . The method of claim 1 , wherein the weights are specified by a user.

7 . The method of claim 1 , further comprising:

synthesizing multiple raster data layers from the set of raster data layers to form a synthesized raster data layer; and

adding the synthesized raster data layer to the set of raster data layers.

8 . The method of claim 1 , wherein generating the opportunity map is further performed by combining the subset of the plurality of benefit maps using a model structure.

9 . The method of claim 8 , wherein the model structure is specified by a user.

10 . The method of claim 1 , wherein generating the opportunity map is further performed by joining the combined subset of the plurality of benefit maps with at least one supplemental data layer selected from the group consisting of a parcel data layer and a road data layer.

11 . A system for identifying stormwater management opportunities, comprising:

a processor; and

a memory containing an application for identifying stormwater management opportunities, wherein execution of the application directs the processor to:

gather spatial data for a region;

rasterize the spatial data into a set of raster data layers;

form a plurality of benefit maps of the region using subsets of the set of raster data layers, wherein the plurality of benefit maps corresponds to a plurality of benefit categories, wherein each benefit map indicates an opportunity for improvement in the corresponding plurality of benefit categories for the region;

generate an opportunity map by combining a subset of the plurality of benefit maps using a set of weights where each of the set of weights assigns a relative importance to one of the subset of the plurality of benefit maps, wherein the opportunity map includes an opportunity score for a portion of the region that indicates an estimated potential for achieving the benefits of the subset of benefit maps if stormwater management projects are implemented; and

display the opportunity map on a user interface.

12 . The system of claim 11 , wherein execution of the application further directs the processor to:

normalize the set of raster data layers.

13 . The system of claim 11 , wherein the spatial data includes data of at least one data type selected from the group consisting of vector data and raster data.

14 . The system of claim 11 , wherein the spatial data relates to at least one data category selected from the group consisting of stormwater pollution, drainage distance to impaired waterbody, water pollution risk, trash priority land use area, stormwater runoff, drought risk, groundwater basin, soil infiltration capacity, hydrologic soil type, area of imperviousness, local flooding frequency, historical precipitation, projected change in precipitation, biodiversity, urban heat island condition, current greenness level, community socioeconomic status, park proximity, and public exposure.

15 . The system of claim 11 , wherein the plurality of benefit categories includes at least one benefit category selected from the group consisting of runoff reductions, water quality improvements, urban greening, community enhancement, natural habitat protection, water supply resilience, flood risk protection, urban temperature reductions, and climate change mitigation.

16 . The system of claim 11 , wherein the weights are specified by a user.

17 . The system of claim 11 , wherein execution of the application further directs the processor to:

synthesize multiple raster data layers from the set of raster data layers to form a synthesized raster data layer; and

add the synthesized raster data layer to the set of raster data layers.

18 . The system of claim 11 , wherein generating the opportunity map is further performed by combining the subset of the plurality of benefit maps using a model structure.

19 . The system of claim 18 , wherein the model structure is specified by a user.

20 . The system of claim 11 , wherein generating the opportunity map is further performed by joining the combined subset of the plurality of benefit maps with at least one supplemental data layer selected from the group consisting of a parcel data layer and a road data layer.

21 . The method of claim 1 , wherein the opportunity map provides a ranking of portions of the region based on the opportunity score for each portion of the region.

22 . The system of claim 11 , wherein the opportunity map provides a ranking of portions of the region based on the opportunity score for each portion of the region.

Assignments (1)

Continuity (2)

References Cited (95)