Dubai Telegraph - Drones help solve forest carbon capture riddle

EUR -
AED 4.193161
AFN 73.073718
ALL 94.138849
AMD 419.575587
ANG 2.044236
AOA 1047.582358
ARS 1691.189375
AUD 1.660896
AWG 2.055194
AZN 1.941446
BAM 1.954754
BBD 2.295772
BDT 140.484861
BGN 1.930604
BHD 0.429774
BIF 3391.115941
BMD 1.141774
BND 1.474424
BOB 7.893778
BRL 5.92444
BSD 1.13989
BTN 107.706393
BWP 15.490715
BYN 3.305732
BYR 22378.776576
BZD 2.292474
CAD 1.623232
CDF 2597.536421
CHF 0.922428
CLF 0.026755
CLP 1053.012399
CNY 7.757158
CNH 7.765464
COP 3933.412515
CRC 517.027993
CUC 1.141774
CUP 30.257019
CVE 110.206056
CZK 24.247233
DJF 202.981434
DKK 7.474454
DOP 67.784339
DZD 151.962952
EGP 56.174356
ERN 17.126615
ETB 181.485248
FJD 2.566994
FKP 0.865302
GBP 0.861623
GEL 3.014363
GGP 0.865302
GHS 12.892105
GIP 0.865302
GMD 83.913975
GNF 9992.74284
GTQ 8.696349
GYD 238.432473
HKD 8.952139
HNL 30.50857
HRK 7.532053
HTG 148.981621
HUF 353.999702
IDR 20464.021049
ILS 3.411108
IMP 0.865302
INR 108.229757
IQD 1496.29524
IRR 1571081.457826
ISK 144.000278
JEP 0.865302
JMD 179.484002
JOD 0.80956
JPY 184.911459
KES 147.83728
KGS 99.848573
KHR 4578.515147
KMF 493.246501
KPW 1027.597283
KRW 1766.102258
KWD 0.353459
KYD 0.949892
KZT 553.443987
LAK 25565.32623
LBP 102073.805207
LKR 383.275003
LRD 207.449045
LSL 18.748189
LTL 3.371363
LVL 0.690648
LYD 7.323083
MAD 10.715585
MDL 20.147224
MGA 4850.405731
MKD 61.625518
MMK 2397.32604
MNT 4087.469212
MOP 9.208075
MRU 45.842385
MUR 53.936843
MVR 17.651743
MWK 1983.261748
MXN 19.956582
MYR 4.63572
MZN 72.902063
NAD 18.747865
NGN 1575.819726
NIO 41.947931
NOK 11.346799
NPR 172.329828
NZD 2.022031
OMR 0.439001
PAB 1.13989
PEN 3.89683
PGK 5.004367
PHP 69.791523
PKR 316.96457
PLN 4.288561
PYG 6941.28741
QAR 4.162336
RON 5.241909
RSD 117.367569
RUB 87.917037
RWF 1673.305023
SAR 4.287701
SBD 9.208456
SCR 15.322575
SDG 685.631614
SEK 11.095449
SGD 1.476434
SHP 0.85245
SLE 28.316491
SLL 23942.440684
SOS 652.525787
SRD 42.810257
STD 23632.423089
STN 24.487117
SVC 9.973666
SYP 126.20271
SZL 18.842173
THB 38.00339
TJS 10.566448
TMT 4.007628
TND 3.363953
TOP 2.749119
TRY 53.263204
TTD 7.748855
TWD 36.400795
TZS 2997.161032
UAH 51.156838
UGX 4177.765497
USD 1.141774
UYU 45.86587
UZS 13737.652333
VES 710.461668
VND 30017.246744
VUV 136.075843
WST 3.175141
XAF 655.606345
XAG 0.01962
XAU 0.000285
XCD 3.085702
XCG 2.054301
XDR 0.815364
XOF 655.606345
XPF 119.331742
YER 272.425469
ZAR 18.776992
ZMK 10277.333557
ZMW 20.636962
ZWL 367.650864
  • RBGPF

    0.2000

    61.5

    +0.33%

  • CMSC

    0.1300

    22.06

    +0.59%

  • RYCEF

    0.0000

    18.75

    0%

  • GSK

    0.3100

    52.81

    +0.59%

  • RIO

    0.5500

    94.29

    +0.58%

  • AZN

    2.5400

    190.95

    +1.33%

  • BCE

    -0.6600

    22.26

    -2.96%

  • RELX

    -0.0500

    31.29

    -0.16%

  • BP

    0.2200

    37.35

    +0.59%

  • NGG

    0.7500

    83.76

    +0.9%

  • BTI

    -0.0200

    62.74

    -0.03%

  • CMSD

    0.1300

    21.9

    +0.59%

  • JRI

    0.0700

    12.86

    +0.54%

  • VOD

    -0.2000

    13.69

    -1.46%

  • BCC

    -1.7600

    79.26

    -2.22%

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.

U.Siddiqui--DT