The Fort Worth Press - Drones help solve forest carbon capture riddle

USD -
AED 3.67315
AFN 63.493234
ALL 82.893849
AMD 377.199436
ANG 1.790083
AOA 917.000252
ARS 1376.779803
AUD 1.436255
AWG 1.80225
AZN 1.696542
BAM 1.686202
BBD 2.015182
BDT 122.789623
BGN 1.709309
BHD 0.377512
BIF 2970
BMD 1
BND 1.279061
BOB 6.913944
BRL 5.223696
BSD 1.000522
BTN 94.115213
BWP 13.635619
BYN 2.965482
BYR 19600
BZD 2.012485
CAD 1.380855
CDF 2279.999898
CHF 0.791075
CLF 0.023239
CLP 917.594531
CNY 6.901497
CNH 6.90132
COP 3702.49
CRC 465.236584
CUC 1
CUP 26.5
CVE 95.624984
CZK 21.130199
DJF 177.720054
DKK 6.45369
DOP 60.375008
DZD 132.589624
EGP 52.529501
ERN 15
ETB 157.299098
EUR 0.863701
FJD 2.245988
FKP 0.747226
GBP 0.74735
GEL 2.694981
GGP 0.747226
GHS 10.950161
GIP 0.747226
GMD 73.498543
GNF 8780.000028
GTQ 7.657854
GYD 209.347342
HKD 7.81702
HNL 26.519668
HRK 6.508302
HTG 131.207187
HUF 333.793973
IDR 16846.35
ILS 3.11585
IMP 0.747226
INR 94.243603
IQD 1310
IRR 1313149.999755
ISK 123.67991
JEP 0.747226
JMD 157.605908
JOD 0.70903
JPY 159.263503
KES 129.749591
KGS 87.449199
KHR 4012.999815
KMF 427.000536
KPW 900.014346
KRW 1500.779793
KWD 0.30652
KYD 0.833829
KZT 482.773486
LAK 21585.000114
LBP 89550.000464
LKR 314.680461
LRD 183.649834
LSL 16.94008
LTL 2.95274
LVL 0.60489
LYD 6.374992
MAD 9.327504
MDL 17.495667
MGA 4170.000275
MKD 53.241151
MMK 2100.167588
MNT 3569.46809
MOP 8.057787
MRU 40.129923
MUR 46.469729
MVR 15.449832
MWK 1736.999516
MXN 17.730698
MYR 3.964499
MZN 63.952774
NAD 16.929973
NGN 1386.309982
NIO 36.720102
NOK 9.68736
NPR 150.586937
NZD 1.71787
OMR 0.384499
PAB 1.000578
PEN 3.460503
PGK 4.309501
PHP 60.0285
PKR 279.050244
PLN 3.69196
PYG 6510.184287
QAR 3.644048
RON 4.400402
RSD 101.435012
RUB 80.994805
RWF 1460
SAR 3.751581
SBD 8.042037
SCR 14.729951
SDG 601.000356
SEK 9.334045
SGD 1.279855
SHP 0.750259
SLE 24.549765
SLL 20969.510825
SOS 571.000338
SRD 37.340498
STD 20697.981008
STN 21.4
SVC 8.755292
SYP 110.948257
SZL 16.897857
THB 32.638498
TJS 9.58109
TMT 3.5
TND 2.9375
TOP 2.40776
TRY 44.358965
TTD 6.803525
TWD 31.907949
TZS 2570.05902
UAH 43.92958
UGX 3702.186911
UYU 40.504889
UZS 12199.999554
VES 462.09036
VND 26350
VUV 119.508072
WST 2.738201
XAF 565.560619
XAG 0.013803
XAU 0.00022
XCD 2.70255
XCG 1.803352
XDR 0.702492
XOF 563.498164
XPF 103.449958
YER 238.649993
ZAR 16.916097
ZMK 9001.198562
ZMW 18.736367
ZWL 321.999592
  • CMSC

    0.0400

    22.91

    +0.17%

  • BTI

    0.7500

    58.51

    +1.28%

  • AZN

    1.5400

    187.32

    +0.82%

  • BCE

    -0.2550

    25.575

    -1%

  • RIO

    0.6600

    87.43

    +0.75%

  • GSK

    1.9450

    54.895

    +3.54%

  • NGG

    2.1200

    84.45

    +2.51%

  • RBGPF

    -13.5000

    69

    -19.57%

  • CMSD

    0.1050

    22.735

    +0.46%

  • RYCEF

    0.3000

    15.9

    +1.89%

  • BCC

    0.9100

    74.48

    +1.22%

  • BP

    0.8250

    45.615

    +1.81%

  • VOD

    0.0950

    14.755

    +0.64%

  • RELX

    0.0250

    32.485

    +0.08%

  • JRI

    0.2800

    12.14

    +2.31%

Drones help solve forest carbon capture riddle
Drones help solve forest carbon capture riddle / Photo: © AFP

Drones help solve forest carbon capture riddle

On a hillside overlooking cabbage fields outside the northern Thai city of Chiang Mai, a drone's rotors begin to whir, lifting it over a patch of forest.

Text size:

It moves back and forth atop the rich canopy, transmitting photos to be knitted into a 3D model that reveals the woodland's health and helps estimate how much carbon it can absorb.

Drones are part of an increasingly sophisticated arsenal used by scientists to understand forests and their role in the battle against climate change.

The basic premise is simple: woodlands suck in and store carbon dioxide, the greenhouse gas that is the largest contributor to climate change.

But how much they absorb is a complicated question.

A forest's size is a key part of the answer -- and deforestation has caused tree cover to fall 12 percent globally since 2000, according to Global Forest Watch.

But composition is also important: different species sequester carbon differently, and trees' age and size matter, too.

Knowing how much carbon forests store is crucial to understanding how quickly the world needs to cut emissions, and most current estimates mix high-level imagery from satellites with small, labour-intensive ground surveys.

"Normally, we would go into this forest, we would put in the pole, we would have our piece of string, five metres long. We would walk around in a circle, we would measure all the trees in a circle," explained Stephen Elliott, research director at Chiang Mai University's Forest Restoration Research Unit (FORRU).

But "if you've got 20 students stomping around with tape measures and poles... you're going to trash the understory," he said, referring to the layer of vegetation between the forest floor and the canopy.

That is where the drone comes in, he said, gesturing to the Phantom model hovering overhead.

"With this, you don't set foot in the forest."

- 'Every tree' -

Three measurements are needed to estimate a tree's absorptive capacity: height, girth and wood density, which differs by species.

As an assistant looks through binoculars for birds that might collide with the drone, the machine flies a path plotted into a computer programme.

"We collect data or capture (images) every three seconds," explained Worayut Takaew, a FORRU field research officer and drone operator.

"The overlapping images are then rendered into a 3D model that can be viewed from different angles."

The patch of woodland being surveyed is part of a decades-long project led by Elliott and his team that has reforested around 100 hectares by planting a handful of key species.

Their goal was not large-scale reforestation, but developing best practices: planting native species, encouraging the return of animals that bring in seeds from other species and working with local communities.

The drone's 3D model is a potent visual representation of their success, particularly compared to straggly untouched control plots nearby.

But it is also being developed as a way to avoid labour-intensive ground surveys.

"Once you've got the model, you can measure the height of every tree in the model. Not samples, every tree," said Elliott.

A forest's carbon potential goes beyond its trees, though, with leaf litter and soil also serving as stores.

So these too are collected for analysis, which Elliott says shows their reforested plots store carbon at levels close to undamaged woodland nearby.

- 'More and more precise' -

But for all its bird's-eye insights, the drone has one major limitation: it cannot see below the canopy.

For that, researchers need technology like LiDAR -- high-resolution, remote-sensing equipment that effectively scans the whole forest.

"You can go inside the forest... and really reconstruct the shape and the size of each tree," explained Emmanuel Paradis, a researcher at France's National Research Institute for Sustainable Development.

He is leading a multi-year project to build the most accurate analysis yet of how much carbon Thailand's forests can store.

It will survey five different types of forests, including some of FORRU's plots, using drone-mounted LiDAR and advanced analysis of the microbes and fungi in soil that sustain trees.

"The aim is to estimate at the country level... how much carbon can be stored by one hectare anywhere in Thailand," he said.

The stakes are high at a time of fierce debate about whether existing estimates of the world's forest carbon capacity are right.

"Many people, and I'm a bit of this opinion, think that these estimates are not accurate enough," Paradis said.

"Estimations which are too optimistic can give too much hope and too much optimism on the possibilities of forests to store carbon," he warned.

The urgency of the question is driving fast developments, including the launch next year of the European Space Agency's Biomass satellite, designed to monitor forest carbon stocks.

"The technology is evolving, the satellites are more and more precise... and the statistical technologies are more and more precise," said Paradis.

K.Ibarra--TFWP