Advanced Analytics and Data Visualisation in Forest Management and Planning

Advanced Analytics and Data Visualisation in
Forest Management and Planning
Autonomous UAV for Mapping and Remote
Sensing for Forest Plantation Management, Planning
and Operations
E. Noli Sicad, PhD
Renewable Resource Management and Services
ForestTECH 2017, 21-22 November 2017, Melbourne, Australia
3D
Map

Advanced Analytics and Data Visualisation in Forest Management and Planning
Forest
Management
is

Time
and
Space
Management.

Properly
Unleashing
the
Poten9al
of
our
Data

for
our
quest
for
Sustainable
Forest
Management

ü Data
from

-‐
Forest
Inventory
(P06,
P18,MRI,
PHI,
etc.)

-‐
Other
methods

ü Models

ü Analy9cs
and
Visualisa9on
Tools


Mathema9cal
Models
in
Forest
Management
&
Planning

ü Species
Growth
and
Yield
Model

ü Stand
Yield
Model
-‐>
Yield
Table

ü Forest
Estate
Model
(e.g.
FOLPI,
Woodstock,
Tigermoth

and
ForestValue)

StandYield

ForestValue

!

StandYield
Model
=>
Stocking
(THA)
and
MAI
Maps

!
!
!

Characteris9cs
of
Decision
Problems
in
Hierarchy


Hierarchical
Planning
System


Forest
Estate
Models
for
Sustainable
Forest
Management

ü Strategic
Linear
Programming
(LP)
Forest
Estate
Model

ü Tac9cal
Spa9al
Mixed
Integer
Programming
(MIP)

Estate
Model

ü Opera9onal
Spa9al
MIP
Harves9ng
Model


RGB
Aerial
Topographic
Map
–
1.83
cm
per
pixel

Opera9on
Research,
Sta9s9cs,
RS/GIS
and
Data
Analy9cs
Tools


Mathema9cal
Programming
Models
and
Solvers

ü  Linear
Programming
(LP)
Model

ü  Mixed
Integer
Programming
(MIP)
Model

Solvers

Matrix
Generators

Output
/

Reports

Input
-‐>
Matrix
Generators

Outputs

ü  MPS
format

ü  LP
format

ü  Mathema9cal
Programming
Language

*
GLPK/MathProg
(GMPL)

*
AMPL

*
GAMS

ü  Txt,
CSV,
dbf,
Excel

ü  SQL
Databases

ü  GIS
(dbf
and
Spa9al
SQL
databases)

Solvers

ü  GLPK,
CBC,
Mosek,
CPLEX,
Gurobi,
etc.


Mathema9cal
Programming
Language
Model

ü  A
Simple
GLPK/MathProg
(GMPL)
Timber
Harves9ng
Model
–
Model
I
formula9on

The
Model
Script


Mathema9cal
Programming
Language

Models

Model

Report

Data

ü  GLPK/MathProg
(GMPL)
and
AMPL

LP
and
MIP
Models

Advantages

ü  Model,
Data
and
Reports
are

separated

ü  Agile,
Flexible
and
Scalable

ü  Data
can
read
from
CSV,
txt,

dbf,
SQL
database,
etc.

ü  Reports
can
directly
wriaen

into
database
(spa9al
and

textual
SQL
databases)


Mathema9cal
Programming
Language
Model

Model

Report

Data

ü  A
Simple
GLPK/MathProg
(GMPL)
Timber
Harves9ng

Model
–
Model
I
formula9on

LP
Model

Output

ü  Another
Simple
Timber
Harves9ng
Model
1
using
dbf
data

in
Gusek/examples/dbf

haps://sourceforge.net/projects/gusek/

ForestValue,
FOLPI-‐based
Model
Formula9on

ü  LP
Model
–
Model
II
Formula9on
(
2
or
more
Rota9ons)

Ø  Objec9ve
Func9on

-‐

Maximise
Revenue
or
Volume

Ø  Structural
Constraints
of
FOLPI

-‐

Area
Must
be
Replanted

-‐

Area
Must
be
Harvested

-‐

Ini9al
Area
Must
be
Harvested

Ø  Variables

-‐

Y[t,i,j]
-‐>
Forest
area
to
be
harvested
/
cut

-‐

X[t,i,j]
-‐>
Forest
area
to
be
replanted

-‐

Z[t,I,j]
-‐>
Forest
area
to
be
transferred


ForestValue
–
FOLPI-‐based
GLPK/MathProg
Model

ü FOLPI
and
Tigermoth
Data
Input

Compa9ble

ü Mu9ple
Plahorm
IDE
(Gedit
(Mac),
GUSEK

(Windows),
Pluma
(Linux
(Ubuntu
Mate))

ü GLPK/MathProg
-‐
GMPL
/
AMPL
Script

ü Text
Tables

ü Excel
Graphs

R
Script
for
Report
and
Visualize
Insights

ForestValue
–
FOLPI-‐based
GLPK/MathProg
Model


Spa9al
MIP
Models
Formula9on
(Model
I)

ü  MIP
Model
–
Model
I
Formula9on

Ø  Objec9ve
Func9on

-‐

Maximise
Revenue
or
Volume

Ø  Constraints

-‐

Total
sum
of
forest
blocks
/
stands

<=
Total
Area

-‐

Non
Declining
Volume
(TRV)

-‐

No
Adjacency
of
forest
blocks
/
stands

X[t,i,j]
-‐>
Forest
Stand
to
be
harvested
by
Period
(t),

Croptype
(i)
and
AgeClass
(j)

X[t,i,j]
is
binary
(0/1)

TRV[t]
>
Total
Recoverable
Volume

MAI[t]
-‐>
MAI
(Mean
Annual
Increment
(m3/yr)

Ø  Variables


Spa9al
MIP
Models
Formula9on
(Model
II

ü  MIP
Model
–
Model
II
Formula9on
(
2
Rota9ons)

Ø  Objec9ve
Func9on

-‐

Maximise
Revenue
or
Volume

Ø  Addi9onal
Constraints

-‐

Total
sum
of
forest
blocks
/
stands

<=
Total
Area

-‐

Non
Declining
Volume
(TRV)

-‐

No
Adjacency
of
forest
blocks
/
stands

Ø  Structural
Constraints
of
FOLPI

-‐

Area
Must
be
Replanted

-‐

Area
Must
be
Harvested

-‐

Ini9al
Area
Must
be
Harvested

Ø  Binary
Variables

(0/1)

-‐

Y[t,i,j]
-‐>
Forest
area
to
be
harvested
/
cut

-‐

X[t,i,j]
-‐>
Forest
area
to
be
replanted


LP
and
Spa9al
MIP
Models
for
Eucalypts
Pulp
Planta9on

ForestValue
-‐

LP
-‐
Model
II

The
Models
Timeframes

Spa9al
MIP
Models

Spa9al
MIP
Model

25
years
(5
Rota9ons)

MIP
Model

-‐
Model
II
MIP
Model

-‐
Model
I

MIP
Model

-‐
Model
I

10
years
(2
Rota9ons)

5
years
(1
Rota9on)

3
years

(Planning
Period)

Forest
Estate
Modelling
and
Hierarchical
Planning
System
using

Mathema9cal
Programming
Models

ForestValue
-‐

LP
-‐
Model
II

LP
Model
for
Eucalypts
Pulp
Planta9on
Timeframes

25
years
(5
Rota9ons)

(Planning
Period)

Strategic
Planning
LP
Model
–
ForestValue
Strategic
(25
years)


LP
Model
for
Eucalypts
Pulp
Planta9on
Timeframes

(Planning
Period)

Tac9cal
Planning
–
Spa9al
MIP
Models

MIP
Model

-‐
Model
II
MIP
Model

-‐
Model
I

10
years
(2
Rota9ons)

5
years
(1
Rota9on)

Timber
Harvest
Sequence

Model
I

Timber
Harvest
Sequence

Model
II


MIP
Model
Result
can
be
easy
joined
in
ArcGIS
or
QGIS


Forest
Management
Hierarchical
Planning
System
using

Mathema9cal
Programming
Models

Tac9cal
Planning
-‐
Spa9al
MIP
Model
I
Formula9on

Tac9cal
Planning
-‐
Spa9al
MIP
Model
II
Formula9on


Opera9onal
Planning
-‐
Spa9al
MIP
Model
with
Log
Alloca9on
to
Mills


LP
and
Spa9al
MIP
Models
for
Radiata
Pine

ForestValue
-‐

LP
-‐
Model
II

The
Models
Timeframes

Spa9al
MIP
Models

Spa9al
MIP
Model

60
years
(2
Rota9ons)

MIP
Model

-‐
Model
II
MIP
Model

-‐
Model
I

MIP
Model

-‐
Model
I

30
years
(1
Rota9on)

15
years

(No
Replan9ng)

5
years

(Planning
Period)

7
years


Summary

ü  Agility
of
scrip9ng
(e.g.
GMPL
and
R)
is
powerful

tool
for
forest
estate
modelling,
report
wri9ng

and
visualisa9on
of
results

ü  Easy
to
conversion
FOLPI
and
Tigermoth
forest

estate
models
and
database
data
input

Current
Endeavour
and
Future
Plan

Autonomous UAV for Mapping and Remote Sensing
for Forest Plantation Management, Planning and Operations
ü  UAV

Mapping,
Survey
and
Aerial
Raster
Analy9cs
(i.e.
Geospa9al
Imagery

Analy9cs)

ü  Seek
Consul9ng
Work
with
Forestry
Asset
and
Agriculture
Estate
Managers

ü  Solar
Panels
Inspec9on
and
Thermal
Mapping

ü  Engage
Partnership
with
Forest
Inventory
Companies
for
UAV
mapping

ü  Engage
Partnership
in
providing
consul9ng
work
in
Forest
Estate
Modelling

especially
for
small
tree
growers
in
New
Zealand
and
Australia

Contact

Renewable
Resource
Management

and

Services

12/47
Evansdale
Rd.
Hawthorn

VIC
3122

Email:
nsicad@gmail.com

Phone:0449
109
753

RE
Soilstone
Pty
Ltd

ABN
881328681

P.O.
Box
4847,
North
Rocks

NSW
2151,
Australia

Advanced Analytics and Data Visualisation in Forest Management and Planning

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