GetPropertyInformation - v1.4


Introduction

The GetPropertyInformation service will take a lat/lon coordinate and return a metadata response (JSON or xml) for a single parcel with associated property attributes including building structures and their respective attributes and footprint geometry.

  • Assess insurable property features and condition

  • Display building footprints

  • Property feature change detection

This is a transactional service; each requests will be billed against the agreed upon rate and aggregated into a billing cycle. Please contact Customer Advocacy at support@vexcelgroup.com.


Technical Details

The Property Information service provides access to computer-generated property information on a parcel basis. Some attributes are parcel-specific while most are building-specific. All numeric units are metric as either meters or square meters (Imperial is now available as an option with unit-system). Property information can be generated against bluesky-ultra or bluesky-high, it is being precomputed in select locations (see table below) and is available on-demand worldwide. On-Demand requests for structure attributes are available worldwide wherever imagery exists. On-Demand requests for property attributes are limited by parcel availability. We will be continually indexing property information and parcel data to expand our coverage.

When a request is made to GetPropertyInformation, the response will vary depending on if the property has been precomputed or not:

  1. Precomputed - The property attributes are cached in a database; the property information will return in the REST body with little delay.

  2. On-Demand - The property information is not cached in a database but will be calculated on-demand. The REST body will return a request_id and indicate that the property is not immediately available, and a user will have two options to receive the property information: Callback URL or Download Service. Additionally, the GetStatus service can be used to query the status of an On-Demand request.

    1. Callback URL - If a callback url was provided, Vexcel will send the property information to the callback url as soon as it is computed. This will require a user to have a callback server with which to listen for callback responses. See the External Resources section for more information.

    2. Download Service - This is a multi-service process in which a user will use the provided request_id to download the property information via the Download service.

Location

Precomputed using:

On-Demand* containing:

bluesky-ultra

bluesky-high

Structure Attributes

Property Attributes

United States

Canada

Puerto Rico

Australia
France (including Corsica)
New Zealand
Spain
England, Scotland, Wales

Germany

North Rhine Westphalia

Other Regions TBD

Italy

Some Regions Available

Rest of World

(more countries will be added)

Last updated: May 2023

*where imagery coverage exists

Data Dictionary

The following list contains the available objects available from this service.

  • There may be slight variations in object names.

  • New objects are occasionally added. Previously precomputed properties may not contain new objects.

  • Properties that are not pre-computed will return back null in the property features response

Object

Description

Unit or Possible Values

Object

Description

Unit or Possible Values

structures

{

 

Each building in a separate object

footprint

area

Area of the building footprint

Meters

wkt

Geometry of the building footprint (WKT Polygon)

 

ground_elevation

value

Ground elevation, derived from DTM, measured at the center of a bounding box surrounding the structure geometry.

Meters

metadata

camera_technology

Type of camera used for imagery collection

 

gsd

Ground sample distance (average pixel size)

Meters

image_id

The name of the source image

 

version

Version of the Auto GPE pipeline used to produce this property information.

 

layer_name

Layer name of the source imagery

 

primaryStructure

Identifies if the building is the primary structure on the property

true, false

roof_condition

value

Condition of the roof.

5 - Roof is in great condition - No visible signs of defects. It looks new

4 - Roof is in good condition - Minimal signs of defects. Defects are cosmetic and do not affect the function and safety of the roof.

3 - Roof is in fair condition - Discoloration and damage are present but not as pronounced as scores 1 and 2. Defects may affect the function and safety of the roof if not addressed.

2 - Roof is in poor condition - Pronounced signs of defects that affect the function and safety of the roof. the damage is primarily at the barrier or surface materials.

1 - Roof is in bad condition - Pronounced signs of defects that significantly affect the function and safety of the roof. The damage is beyond the barrier or surface materials.

1 to 5

roof_condition_report

discolorated

detected

Whether the network detected any discoloration

true, false

percentage

Percentage of detected discoloration that covers the roof

Percentage (0 - 100)

score

A confidence score for the detection

0 to 1

types

algae_staining

detected

Whether algae staining was detected

true, false

percentage

Percentage of the full roof that has detected algae staining

Percentage (0 - 100)

score

A confidence score for the detection

0 to 1

vent_staining

detected

Whether vent staining was detected

true, false

percentage

Percentage of the full roof that has detected vent staining

Percentage (0 - 100)

score

A confidence score for the detection

0 to 1

water_pooling

detected

Whether water pooling was detected

true, false

percentage

Percentage of the full roof that has detected water pooling

Percentage (0 - 100)

score

A confidence score for the detection

0 to 1

Debris

detected

Whether debris was detected

true, false

percentage

Percentage of the full roof that was covered by debris

Percentage (0 - 100)

score

A confidence score for the detection

0 to 1

Missing Material

detected

Whether missing material was detected

true, false

percentage

Percentage of the full roof that has detected missing material

Percentage (0 - 100)

score

A confidence score for the detection

0 to 1

Tarp

detected

Whether a tarp was detected

true, false

percentage

Percentage of the full roof that is covered by tarp

Percentage (0 - 100)

score

A confidence score for the detection

0 to 1

roof_material

class

Predominant material used for the roof

shingle, tile, metal, shake, gravel, membrane

score

A confidence score for the detection

0 to 1

roof_shape

value

Predominant architectural style used for the roof. hip = all sides slope down, gable = two opposing sides slope down, flat = less than 2/12 slope

hip, gable, flat

score

A confidence score for the detection

0 to 1

roof_solar

value

Indicates whether the roof contains one or more solar panels

Solar panel, No solar panel

score

A confidence score for the detection

0 to 1

roof_elements

ac_unit

count

A count of air conditioning units found on the roof

 

chimney

count

A count of chimneys found on the roof

 

roof_vent

count

A count of roof vents found on the roof

 

satellite_dish

count

a count of satellite dishes found on the roof

 

skylight

count

A count of skylights found on the roof

 

tree_cover

percent

Percentage of structure covered by trees

Percentage (0 - 100)

roof_top_location

wkt

Centroid of the building footprint (WKT Point)

 

defensible_space

image

image_id

Name of the image

 

region_contained

Indicates whether the image contains the full 100 ft buffer surrounding the building. If false, values are reported for areas with imagery coverage.

true, false

report

DSB5

Percentage of region within 5 ft of the structure that is other buildings

Percentage (0 - 100)

DST5

Percent of the region within 5 ft of the structure that is tree coverage

Percentage (0 - 100)

DSB30

Percent of the region within 30 ft of the structure that is other buildings

Percentage (0 - 100)

DST30

Percent of the region within 30 ft of the structure that is tree coverage

Percentage (0 - 100)

DSB100

Percentage of region within 100 ft of the structure that is other buildings

Percentage (0 - 100)

DST100

Percentage of region within 100 ft of the structure that is tree coverage

Percentage (0 - 100)

DSB200

Percentage of region within 200 ft of the structure that is other buildings

Percentage (0 - 100)

DST200

Percentage of region within 200 ft of the structure that is tree coverage

Percentage (0 - 100)

status

Whether the report generation was successful or not

SUCCESS, FAIL

status_msg

Description of the failure if status:fail

 

roof_elevation

value

Elevation of the roof_top_location above sea level derived from DSM

Meters

roof_height

value

Height of the roof_top_location above ground. Measured by subtracting DTM from DSM at roof_top_location

Meters

capture_date

Capture date of the source image.

YYYY-MM-DD

ortho_date_estimate

The estimated date of the pixels comprising the source ortho image.

MMM DD, YYY

property_features

parcel_wkt

Geometry of the parcel boundary (WKT Polygon).

ⓘ Sourced from a 3rd party, accuracy may vary.

 

sport_court

Basketball, tennis, etc.

detected

Whether the network detected sport_court(s) on the property

true, false

score

A confidence score for the detection

0 to 1

playground

Swingset, jungle gym etc.

detected

Whether the network detected playground(s) on the property

true, false

score

A confidence score for the detection

0 to 1

deck

Elevated, outdoor floor/platform

detected

Whether the network detected deck(s) on the property

true, false

score

A confidence score for the detection

0 to 1

area

April 2023

The total surface area of the detected deck(s) areas within a parcel

sqft

hardscapes

paved surfaces

area

The total surface area of the detected hardscape areas within a parcel

sqft

percent

The percentage of the total parcel area that has been detected as hardscape.

Percentage (0 - 100)

trampoline

Trampoline

detected

Whether the network detected trampoline(s) on the property

true, false

score

A confidence score for the detection

0 to 1

enclosure

Screen-made structure, like a pool enclosure

detected

Whether the network detected enclosure(s) on the property

true, false

score

A confidence score for the detection

0 to 1

pool

Swimming pool, above or below ground

detected

Whether the network detected pool(s) on the property

true, false

score

A confidence score for the detection

0 to 1

types

above_ground

area

The surface area of the above ground pool

sqft

detected

Whether the network detected an above ground pool

true, false

distance

The shortest distance from the edge of the above ground pool to the primary structure

ft

score

A confidence score for the detection

0 to 1

hot_tub

area

The surface area of the above hot tub

sqft

detected

Whether the network detected a hot tub

true, false

distance

The shortest distance from the edge of the above hot tub to the primary structure

ft

score

A confidence score for the detection

0 to 1

in_ground

area

The surface area of the in-ground pool

sqft

detected

Whether the network detected an in-ground pool

true, false

distance

The shortest distance from the edge of the in-ground pool to the primary structure

ft

score

A confidence score for the detection

0 to 1

water_slide

Slide associated with a pool

detected

Whether the network detected waterslide(s) on the property

true, false

score

A confidence score for the detection

0 to 1

diving_board

Diving board associated with a pool

detected

Whether the network detected diving board(s) on the property

true, false

score

A confidence score for the detection

0 to 1

vehicle

Vehicles found on the property

count

A count of vehicles found on the property

 

detected

Whether the network detected a vehicle on the property

true, false

score

A confidence score for the detection

0 to 1

types

automobile

detected

Whether the network detected an automobile on the property

true, false

count

A count of automobiles found on the property

 

score

A confidence score for the detection

0 to 1

boat

detected

Whether the network detected a boat on the property

true, false

count

A count of boats found on the property

 

score

A confidence score for the detection

0 to 1

parcel_tree_cover

Percentage of parcel covered by trees.

Percentage (0 - 100)

inside_parcel

Whether the requested_wkt falls within the parcel_wkt

true, false

requested_wkt

Geographic point used to query for a property (WKT Point)

 


GetPropertyInformation

This service is used to request property information for a parcel and/or structure. All requests must begin with this service. If the requested property has been pre-computed, the results will be returned via the response body. If the property must be computed on-demand the results will be returned via either the user-defined callbackURL or the Download service.

Base URL

This service will answer requests on the following URL (mandatory parameters only):

https://api.gic.org/property/GetPropertyInformation?wkt={wkt}&token={token}

Parameters

Parameter

Parameter Type

Data Type

Description

Example Format

Notes

Parameter

Parameter Type

Data Type

Description

Example Format

Notes

Mandatory:

wkt

Key Value Pair (KVP)

String

The “well-known-text” (WKT) representation of the requested point or polygon.

wkt=POINT(-82.71344369293386 27.85861704973314)

wkt=POLYGON((-87.02784238738897 33.229561586085204,-87.02378688735845 33.229561586085204,-87.02378688735845 33.22722819148422,-87.02784238738897 33.22722819148422,-87.02784238738897 33.229561586085204))

token

Key Value Pair (KVP)

String

The token used to authenticate the request.

token={token}

Optional:

callbackUrl

Key Value Pair (KVP)

String

The client provided URL with which a response will be sent in the instance where the property information has not been precomputed. After property information computation the response will be sent to the callback URL.

callbackUrl=https://example.com/callback

externalRequestId

Key Value Pair (KVP)

String

A client provided ID to be used exclusively by the client for the client’s internal indexing and data management purposes. This ID will not be used by Vexcel.

 

property-features

Key Value Pair (KVP)

String

Allows a user to select which feature of a property record to return. Other information within the parcel will be omitted from the response. Multiple options must be separated by comma.

undefined - default - returns all available objects of a property record.

structure-geometry - returns only the structure geometry object (building footprint wkt)

structure-attributes - returns only the objects within the structures object, excluding the structure geometry.

parcel-attributes - returns only the objects within the properties object.

property-features=parcel-attributes

format

Key Value Pair (KVP)

String

The format of the response

json - default - JavaScript Object Notation

xml - Extensible Markup Language

format=json

 

calculateHeights

Key Value Pair (KVP)

String

Returns the roof_height (above ground) and roof_elevation (above sea level) for each structure. Both values are measured in meters.

true - include roof_height and roof_elevation in the response

false - will not include roof_height and roof_elevation

calculateHeights=true

layer

Key Value Pair (KVP)

String

The imagery layer from which to derive the property information and building footprints.

bluesky-ultra-g - Urban data collected by Geomni in North America (7.5 GSD)

bluesky-ultra - Urban data collected with Osprey North America (7.5cm GSD)

bluesky-ultra-europe - Urban data collected with Osprey in Europe (7.5 GSD)

bluesky-ultra-oceania - Urban data collected with Osprey in Oceania (7.5 GSD)

bluesky-high - Wide area data collected with Condor in North America (20cm GSD)

bluesky-high-europe - Wide area data collected with Condor in Europe (20cm GSD)

graysky-g Gray Sky events collected by Geomni in North America

graysky - Gray Sky events collected with Ultracam sensors in North America

layer=bluesky-high

aoi

Key Value Pair (KVP)

String

The identifier of the Area of Interest (AOI) which contains the imagery from which to derive the property information and building footprints.

aoi=us-ca-losangeles-2021

orientationsource

Key Value Pair (KVP)

String

The imagery type from which to derive property information.

orientationsource=ortho

usecache

Key Value Pair (KVP)

Boolean

Determines if the request may come from cache or if an on-demand computation is required.

 

usecache=true

unit-system

Key Value Pair (KVP)

String

Determines the unitary system in which values are returned.

unit-system=imperial

 

suppliedparcel

Key Value Pair (KVP)

String

Enables the end user to provide a geometry (in wkt POLYGON() format) from which parcel attributes will be calculated. This is useful for locations where Vexcel does not have access to parcel data or where the end-user would prefer to use a specific geometry for the parcel attribute calculations.

suppliedparcel=POLYGON((-105.151810 39.968170,-105.151381 39.968170,-105.151381 39.967964,-105.151810 39.967964,-105.151810 39.968170))

permit-on-demand

Key Value Pair (KVP)

Boolean

Determines if a request my trigger an on-demand call to Verisk’s PropertyEssentials if unfulfilled by our database.

permit-on-demand=true

 

Optional (Only available for precomputed properties):

search_radius

Key Value Pair (KVP)

String

The radius in meters with which to search for the nearest intersecting property.

search_radius=15

requiredAttributes

Key Value Pair (KVP)

String

Defining requiredAttributes will force GetPropertyInformation to search for the nearest property containing attributes matching this list. Using this parameter requires that search_radius also be defined. All keywords must be separated by with a comma.

requiredAttributes=deck,roof_material=membrane
requiredAttributes=pool,pool_score>0.8

maxrecords

Key Value Pair (KVP)

Integer

The maximum number of records that will be returned. By default only one record will be returned. If defined the service will attempt to return properties up to the maximum number. If this parameter is present, properties will be returned within an array.

maxrecords=3


GetStatus

This service is used to check on the computation status of a previous on-demand GetPropertyInformation call. This service can be called repeatedly until a status is provided. When the status is “Complete” the property information will be returned via either the user-defined callbackURL or the Download service.

Base URL

This service will answer requests on the following URL:

https://api.gic.org/property/GetStatus?requestId={requestId}&token={token}

Parameters

Parameter

Parameter Type

Data Type

Description

Example Format

Notes

Parameter

Parameter Type

Data Type

Description

Example Format

Notes

Mandatory:

requestId

Key Value Pair

String

A unique identifier for a GetPropertyInformation call. Found in the GetPropertyInformation response BODY

requestId=2173f474-ece3-4c81-a934-38b130171c7c

token

Key Value Pair (KVP)

String

The token used to authenticate the request.

token={token}


Download

This service is used to receive the results of an on-demand GetPropertyInformation call. The response will be stored temporarily (roughly a week) and should not be relied upon for long-term access.

Base URL

This service will answer to the requests on the following URL:
https://api.gic.org/property/Download?requestId={requestId}&token={token}

Parameters

Parameter

Parameter Type

Data Type

Description

Example Format

Notes

Parameter

Parameter Type

Data Type

Description

Example Format

Notes

Mandatory:

requestId

Key Value Pair

String

A unique identifier for a GetPropertyInformation call. Found in the GetPropertyInformation response BODY

requestId=2173f474-ece3-4c81-a934-38b130171c7c

token

Key Value Pair (KVP)

String

The token used to authenticate the request.

token={token}


Examples

Neighborhood in Knoxville, Tennessee - cached property information request property-features=structure-geometry, format=xml,

URL:
https://api.gic.org/property/GetPropertyInformation?wkt=POINT(-83.88721614672113 35.9600755614104)&format=xml&property-features=structure-geometry&token={token}

Response:

<ortho_date_estimate>May 20, 2022 12:00:00 AM</ortho_date_estimate><inside_parcel>true</inside_parcel><structures><primaryStructure>true</primaryStructure><footPrint><area>540.2845307967305</area><wkt>POLYGON((-83.88743063829281 35.960249534937944,-83.88727882413394 35.960257284258894,-83.88727218410212 35.960162330239,-83.88723348088834 35.96016411912269,-83.88723507693358 35.96018694313603,-83.88717868097031 35.96018954976654,-83.8871782021356 35.96018270219292,-83.88715011285561 35.96018396531366,-83.88714753459975 35.960147094759705,-83.88713903725147 35.96013884119355,-83.88714187657392 35.96012792464477,-83.88712766984106 35.96012858127368,-83.88712691281476 35.960114487869646,-83.88711973413105 35.96011474274069,-83.8871167794248 35.960072488417175,-83.88712563081754 35.960072079310734,-83.88712229350007 35.960024353378806,-83.88717412398127 35.96002155651298,-83.88717234685178 35.959996142542344,-83.88729393482208 35.959989581435245,-83.88730139423113 35.96007740464342,-83.88728465021744 35.96007817856652,-83.88728535440815 35.96008824867469,-83.8874255723061 35.96008176760627,-83.88743612001129 35.96023259823232,-83.88742947537104 35.96023290536122,-83.88743063829281 35.960249534937944))</wkt></footPrint></structures><requested_wkt>POINT(-83.88721614672113 35.9600755614104)</requested_wkt><request_id>null</request_id>

 

Geometric representation of the footprint wkt:


________________________________________________________________________________________

Neighborhood in Dijon, France, Europe - on-demand request, single structure, callback URL method, callbackUrl, externalRequestId, property-features=structure-attributes

  1. GetPropertyInformation Call:

    1. URL: https://api.gic.org/property/GetPropertyInformation?wkt=POINT(5.057357 47.323763)&callbackUrl=&http://fakecallback1234.com&externalRequestId=SampleID1234&property-features=structure-attributes&format=json&token={token}

    2. Response: HTTP 200: {"status":200,"message":"The job was launched. Please, wait for the asynchronous response.","requestId":"74d0ce5a-738f-43e1-8669-9edcb854f21d"}

  2. GetStatus Call (Optional):

    1. URL: https://api.gic.org/property/GetStatus?requestId=74d0ce5a-738f-43e1-8669-9edcb854f21d

    2. Responses:

      1. Computation Incomplete: HTTP 200: {status: "InProgress"}

      2. Computation Complete: HTTP 200: {"status":"Completed"}

      3. Computation Failed: HTTP 200 {"status": "Failed"}

  3. Receive response at callback URL:

    1. As soon as computation is complete the results will be sent to the callbackUrl in the form of an HTML file containing the output file in the desired format:

 

GET /property/GetPropertyInformation?wkt=POINT(-113.462401 53.515842)&format=json&property-features=structure-attributes&callbackUrl=http%3A%2F%2Ffakecallback1234.com&externalRequestId=SampleID1234 HTTP/1.1 Host: api.gic.org HTTP/1.1 200 content-type: application/json;charset=ISO-8859-1 content-length: 1656 access-control-allow-credentials: true access-control-allow-headers: DNT,Keep-Alive,User-Agent,X-Requested-With,If-Modified-Since,Cache-Control,Content-Type,Range,Authorization access-control-allow-methods: GET, PUT, POST, DELETE, PATCH, OPTIONS access-control-allow-origin: * access-control-max-age: 1728000 date: Mon, 23 Oct 2023 17:33:09 GMT x-cache: Miss from cloudfront via: 1.1 9dcf1f784090d97aac2d38aa49e628e2.cloudfront.net (CloudFront) x-amz-cf-pop: EWR53-C3 x-amz-cf-id: WRzoxcpyEw10RE0J3i9WB94qmancG1EIHcBwuQEKb46mlsnxYNzNeQ== {"structures":[{"roof_condition_report":{"Missing Material":{"detected":null,"percentage":null,"score":null},"Tarp":{"detected":null,"percentage":null,"score":null},"debris":{"detected":false,"percentage":0.0,"score":0.0},"discolorated":{"types":{"algae_staining":{"detected":true,"percentage":0.02,"score":0.37},"vent_staining":{"detected":false,"percentage":0.0,"score":0.0},"water_pooling":{"detected":false,"percentage":0.0,"score":0.0}},"detected":true,"percentage":0.02,"score":0.37}},"roof_condition":{"value":3.0,"precise_value":3.38},"roof_elements":{"ac_unit":{"count":0.0},"chimney":{"count":3.0},"roof_vent":{"count":2.0},"satellite_dish":{"count":0.0},"skylight":{"count":4.0}},"ground_elevation":{"value":248.1072},"metadata":{"camera_technology":"UltraCam_Osprey_4.1_f120","gsd":0.07264414528829058,"image_id":null,"version":"3.73.1","layer_name":"bluesky-ultra-europe","is_ortho_image":true,"aoi":null},"primaryStructure":true,"roof_material":{"score":0.9,"class":"metal"},"roof_shape":{"value":"gable","score":0.0},"roof_solar":{"value":"false","score":0.0},"tree_cover":{"percent":0.0},"roof_top_location":{"wkt":"POINT (5.0573742266058916 47.3237529793339462)"},"defensible_space":{"image":{"image_id":"Ortho_fr-bfc-dijon-2023_539015_367421_7_7_20_bluesky-ultra-europe","regionContained":false},"report":{"DSB5":null,"DSB30":27.0,"DSB100":27.0,"DSB200":null,"DST5":null,"DST30":12.0,"DST100":20.0,"DST200":null},"status":"SUCCESS"}}],"ortho_date_estimate":"May 31, 2023 12:00:00 AM","inside_parcel":true,"requested_wkt":"POINT(5.057357 47.323763)","request_id":"74d0ce5a-738f-43e1-8669-9edcb854f21d","external_request_id":"SampleID1234"}

Neighborhood in San Diego - asynchronous request, two buildings, format=json, Download service method (no callbackUrl)

  1. First GetPropertyInformation Call:

    1. URL: https://api.gic.org/property/GetPropertyInformation?wkt=POINT(-117.14516226412331 32.99079940586982)&format=json

    2. Response: HTTP 200: {"status":0,"message":"The job was launched. Please, wait for the asynchronous response.","requestId":"2173f474-ece3-4c81-a934-38b130171c7c"}

  2. GetStatus Query

    1. URL: https://api.gic.org/property/GetStatus?requestId=2173f474-ece3-4c81-a934-38b130171c7c

    2. Responses:

      1. Computation Incomplete: HTTP 200: {status: "InProgress"}

      2. Computation Complete: HTTP 200: {"status":"Completed"}

      3. Computation Failed: HTTP 200 {"status":"Failed"}

  3. Download Call:

    1. URL: https://api.gic.org/property/Download?requestId=2173f474-ece3-4c81-a934-38b130171c7c

    2. Response: Sample Metadata file:

 

 

 

{ "structures": [ { "footPrint": { "area": 13361, "wkt": "POLYGON ((-117.1455547984834595 32.9908428350415406, -117.1455525384822494 32.9908829541825170, -117.1455385967880147 32.9908887357295910, -117.1455056971612834 32.9909508299514727, -117.1454818489732759 32.9909763919832102, -117.1454890242768556 32.9909811462173650, -117.1454523030882058 32.9910243965658054, -117.1454377214079017 32.9910357941814283, -117.1454186058909954 32.9910416407254772, -117.1453268645572052 32.9910371789585142, -117.1453056088109150 32.9910474139053278, -117.1452810996457998 32.9910826133111215, -117.1452686571265502 32.9910896228359789, -117.1452398004295787 32.9910881141046275, -117.1451707632001984 32.9910645556127236, -117.1451124041277865 32.9910617172579492, -117.1450889840947127 32.9910457580404852, -117.1450729003878024 32.9910141807791177, -117.1450534981738372 32.9909957715438935, -117.1450322864704106 32.9909947398727610, -117.1449953291024713 32.9909752708996535, -117.1449898024073093 32.9909554007394732, -117.1449688943376373 32.9909226184908988, -117.1449711320288998 32.9908899439436354, -117.1449937511715405 32.9908444411844215, -117.1450005267916197 32.9908420580681678, -117.1450338272025675 32.9908436777062164, -117.1450493033897260 32.9908506022571260, -117.1450881421782100 32.9908785582676813, -117.1450825890433407 32.9908840373776329, -117.1451109981085352 32.9909059513927545, -117.1451318114583700 32.9909069636771477, -117.1451622379287159 32.9908882464166453, -117.1451557676637805 32.9908807765603456, -117.1452000174199952 32.9908456069801872, -117.1452172134619758 32.9908148619258341, -117.1452787077841009 32.9907810725064792, -117.1453193976594065 32.9907413123584732, -117.1453482530329353 32.9907428218191754, -117.1454263371524860 32.9907692627572544, -117.1454479899180541 32.9907814538613380, -117.1455005396592526 32.9908269046143516, -117.1455421378213231 32.9908422193166970, -117.1455547984834595 32.9908428350415406))" }, "ground_elevation": { "value": 584 }, "metadata": { "camera_technology": "UltraCam_Osprey_4.1_f120", "gsd": 2.74, . . .

See Also

 

External Resources

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