AUTOMATED
TREE INVENTORY

Essential tool for smart cities

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TREE INVENTORY:
ESSENTIAL
FOR SMART CITIES

Climate
modeling

Tree allocation
for air pollution
reduction

Make the city
resilient against
climate change

Tree allocation
for energy cost
reduction

‘

What city managers really need is better information. Indeed, if there is one thing that our benchmarking exercise made very clear, it's that very few cities have the data or the insights they require to make smart, evidence-based long-term decisions.

@2019 KPMG Benchmarking City Services
’

HAVE AN UP-TO-
DATE TREE INVENTORY ALWAYS AVAILABLE

More detailed data, 20x faster process and the savings of costs up to 90%

By automatically processing Mobile Laser Scan data:

  • Extract more relevant geometric information with higher accuracy
  • Create your tree inventory faster than ever
  • Update existing tree inventories easily

AUTOMATED TREE EXTRACTION

1

Input:
MLS Pointcloud

MLS Pointcloud
2

Process:
gH tree engine

gH tree engine
3

Output:
Up-to-date tree inventory

Up-to-date tree inventory

COLLECT MORE
DATA
AND MORE
ACCURATE
INFORMATION

Replace field work estimations with detailed and exact metric information.

GENERAL
location, height

CANOPY
size, orientation, eccentricity

TRUNK
girth, height, bending

VOXEL MODELS
branch, canopy

Tree geometric datas Tree geometric datas

NUMBER OF MAN-DAYS NEEDED TO CREATE A
TREE INVENTORY*

6143 1807 102 0 1750 3500 5250 manual survey traditional MLS extraction

* Example calculation for 1 million in-habitant city, 3000 km road network, 18% tree density, 307 000 trees

TREE INVENTORY IN LESS THAN
30 DAYS

Up to 20x faster than with
manual field survey.

FREE UP YOUR BOTANICAL EXPERT'S TIME

Let them focus more on greenery tasks.

MAKE BETTER DECISIONS AND PLAN FASTER

By having accurate and up-to-date information about your city’s vegetation, you can make better decisions. Plan highly precise heat and CO2 maps easier and faster.

IMPORTANT SAVINGS

Save up to 90% of tree inventory costs with choosing the automated gH process over expensive manual field work.

TOTAL COST OF A TREE INVENTORY DATABASE (INCLUDES SET UP AND UPDATES OVER A 5 YEAR SPAN)*

5.5 mill € 3.1 mill € 0.6 mill € 0 1 mill 2 mill 3 mill 4 mill 5 mill manual survey traditional MLS extraction

* Example calculation for 1 million in-habitant city, 3000 km road network, 18% tree density, 307 000 trees

ARE YOU INTERESTED IN A
LIVE DEMO?

Get access to the online gH portal and try out a sample project in depth filled with real data from Singapore.


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