Zürcher Nachrichten - Drones help solve forest carbon capture riddle

EUR -
AED 4.164447
AFN 72.004008
ALL 94.192054
AMD 417.364792
ANG 2.030235
AOA 1040.391472
ARS 1677.41211
AUD 1.64532
AWG 2.042535
AZN 1.930749
BAM 1.955652
BBD 2.284927
BDT 139.536383
BGN 1.917381
BHD 0.427768
BIF 3380.74462
BMD 1.133954
BND 1.471889
BOB 7.839339
BRL 5.899396
BSD 1.134514
BTN 107.038914
BWP 15.480694
BYN 3.228585
BYR 22225.505097
BZD 2.281708
CAD 1.614791
CDF 2572.941842
CHF 0.922228
CLF 0.026522
CLP 1043.827275
CNY 7.700119
CNH 7.71754
COP 3900.247298
CRC 516.360994
CUC 1.133954
CUP 30.04979
CVE 110.255699
CZK 24.253412
DJF 202.022958
DKK 7.474296
DOP 66.85495
DZD 151.455507
EGP 56.136297
ERN 17.009315
ETB 178.928606
FJD 2.544817
FKP 0.861749
GBP 0.861788
GEL 2.993284
GGP 0.861749
GHS 12.759924
GIP 0.861749
GMD 82.212457
GNF 9941.249043
GTQ 8.655346
GYD 237.369976
HKD 8.890871
HNL 30.356707
HRK 7.536148
HTG 148.278799
HUF 355.563292
IDR 20390.766972
ILS 3.374079
IMP 0.861749
INR 107.019152
IQD 1486.187734
IRR 1559243.917571
ISK 144.012695
JEP 0.861749
JMD 178.806493
JOD 0.803924
JPY 183.550352
KES 146.948813
KGS 99.164194
KHR 4568.6146
KMF 492.135677
KPW 1020.559304
KRW 1750.190057
KWD 0.351197
KYD 0.94542
KZT 549.838465
LAK 25213.873004
LBP 101596.829476
LKR 382.341118
LRD 206.472582
LSL 18.787581
LTL 3.348272
LVL 0.685917
LYD 7.28545
MAD 10.680393
MDL 20.137301
MGA 4836.591994
MKD 61.64877
MMK 2380.776672
MNT 4063.891816
MOP 9.161727
MRU 45.062596
MUR 54.645287
MVR 17.519607
MWK 1967.234048
MXN 20.004786
MYR 4.668829
MZN 72.470882
NAD 18.787581
NGN 1564.641505
NIO 41.745926
NOK 11.216854
NPR 171.258288
NZD 2.011646
OMR 0.436007
PAB 1.134504
PEN 3.882321
PGK 4.978624
PHP 69.42412
PKR 315.72835
PLN 4.287396
PYG 6932.415194
QAR 4.135351
RON 5.232175
RSD 117.384725
RUB 85.611258
RWF 1667.159361
SAR 4.259484
SBD 9.130547
SCR 15.940623
SDG 680.372671
SEK 11.070479
SGD 1.471646
SHP 0.846611
SLE 28.120022
SLL 23778.459723
SOS 648.345307
SRD 42.478358
STD 23470.565428
STN 24.498149
SVC 9.92725
SYP 125.338352
SZL 18.785167
THB 37.877702
TJS 10.488215
TMT 3.96884
TND 3.368546
TOP 2.73029
TRY 52.745603
TTD 7.705418
TWD 36.116109
TZS 2969.757262
UAH 51.013146
UGX 4197.682909
USD 1.133954
UYU 45.516562
UZS 13627.97055
VES 703.905542
VND 29845.678273
VUV 135.871245
WST 3.149871
XAF 655.901669
XAG 0.019811
XAU 0.000285
XCD 3.064569
XCG 2.0446
XDR 0.814184
XOF 655.907453
XPF 119.331742
YER 270.589849
ZAR 18.783807
ZMK 10206.954842
ZMW 20.477273
ZWL 365.132835
  • NGG

    0.6800

    83.52

    +0.81%

  • CMSC

    -0.0450

    22.065

    -0.2%

  • GSK

    0.8300

    51.91

    +1.6%

  • RBGPF

    0.0000

    61.3

    0%

  • RIO

    0.9000

    94.95

    +0.95%

  • RYCEF

    -0.1600

    18

    -0.89%

  • JRI

    -0.0150

    12.58

    -0.12%

  • VOD

    -0.0200

    13.79

    -0.15%

  • RELX

    0.1450

    31.315

    +0.46%

  • BCE

    -0.0150

    23.2

    -0.06%

  • CMSD

    0.0600

    22.02

    +0.27%

  • BP

    -0.2050

    37.52

    -0.55%

  • BTI

    0.5700

    61.935

    +0.92%

  • BCC

    1.8300

    79.43

    +2.3%

  • AZN

    2.4800

    185.01

    +1.34%

Drones help solve forest carbon capture riddle
Drones help solve forest carbon capture riddle / Photo: MANAN VATSYAYANA - 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.

W.O.Ludwig--NZN