AIRLINK 72.59 Increased By ▲ 3.39 (4.9%)
BOP 4.99 Increased By ▲ 0.09 (1.84%)
CNERGY 4.29 Increased By ▲ 0.03 (0.7%)
DFML 31.71 Increased By ▲ 0.46 (1.47%)
DGKC 80.90 Increased By ▲ 3.65 (4.72%)
FCCL 21.42 Increased By ▲ 1.42 (7.1%)
FFBL 35.19 Increased By ▲ 0.19 (0.54%)
FFL 9.33 Increased By ▲ 0.21 (2.3%)
GGL 9.82 Increased By ▲ 0.02 (0.2%)
HBL 112.40 Decreased By ▼ -0.36 (-0.32%)
HUBC 136.50 Increased By ▲ 3.46 (2.6%)
HUMNL 7.14 Increased By ▲ 0.19 (2.73%)
KEL 4.35 Increased By ▲ 0.12 (2.84%)
KOSM 4.35 Increased By ▲ 0.10 (2.35%)
MLCF 37.67 Increased By ▲ 1.07 (2.92%)
OGDC 137.75 Increased By ▲ 4.88 (3.67%)
PAEL 23.41 Increased By ▲ 0.77 (3.4%)
PIAA 24.55 Increased By ▲ 0.35 (1.45%)
PIBTL 6.63 Increased By ▲ 0.17 (2.63%)
PPL 125.05 Increased By ▲ 8.75 (7.52%)
PRL 26.99 Increased By ▲ 1.09 (4.21%)
PTC 13.32 Increased By ▲ 0.24 (1.83%)
SEARL 52.70 Increased By ▲ 0.70 (1.35%)
SNGP 70.80 Increased By ▲ 3.20 (4.73%)
SSGC 10.54 No Change ▼ 0.00 (0%)
TELE 8.33 Increased By ▲ 0.05 (0.6%)
TPLP 10.95 Increased By ▲ 0.15 (1.39%)
TRG 60.60 Increased By ▲ 1.31 (2.21%)
UNITY 25.10 Decreased By ▼ -0.03 (-0.12%)
WTL 1.28 Increased By ▲ 0.01 (0.79%)
BR100 7,546 Increased By 137.4 (1.85%)
BR30 24,809 Increased By 772.4 (3.21%)
KSE100 71,902 Increased By 1235.2 (1.75%)
KSE30 23,595 Increased By 371 (1.6%)
Technology

Scientists use drone technology to study Amazon rainforest’s health

Researchers from Harvard University have used drone-based systems to map Amazon rainforest's health. The group
Published September 14, 2019
  • Researchers from Harvard University have used drone-based systems to map Amazon rainforest's health.
  • The group aims to determine the unique ‘fingerprint’ of different rainforest ecosystems for helping them monitor the forest's health and understand its respond to climate change.
  • Researchers believe this system will help them know the functioning of forest and how it is changing.

Climate change has already done a lot of harm to our world including forest fires. Now researchers are using drone technology to better understand the forests and measure its health.

Researchers from Harvard University have now decided to use drones in order to better understand the Amazon rainforest. Through drone-based sensors, the team hopes to figure out the unique ‘fingerprint’ of various rainforest ecosystems, helping them monitor the health of the forest and understand how it is responding to climate change, deforestation and fire.

As reported by Engadget, each plant gives out a different chemical signal, volatile organic compound (VOC) signature, or fingerprint that helps them interact with organisms around them. These signals can change depending on factors such as drought or flood. By monitoring these fingerprints, the researchers can study how forest ecosystems adapt to stressors.

The Amazon’s VOCs were previously monitored by only some towers constructed in one type of ecosystem. The data gathered was limited and biased, and the biosphere emissions models assumed nearby ecosystem had the same VOC emissions.

The drone-based system has been worked upon since the last two years in order to map the VOCs given out in various ecosystems in central Amazonia. The research has proved that various ecosystems have various VOC signatures.

Researcher Scot Martin said, “With our chemical sensors, we can better understand the current functioning of the forest and how it is changing with shifting regional climate, including a more frequent occurrence of fires in recent years in the central part of the Amazon.”

For the future, the team plans to sample more ecosystems in water-logged valleys along rivers. For this, they will use a boat as a launching platform and also hope to test a three-drone fleet, as per Harvard University.

“This research highlights how little we understood forest heterogeneity,” said Martin. “But drone-assisted technologies can help us understand and quantify VOC emissions in different, nearby ecosystems in order to better represent them in climate and air quality model simulations.”

Copyright Business Recorder, 2019

Comments

Comments are closed.