TY - JOUR
T1 - Exploring the relationship of solid waste height and land surface temperature in municipality landfill site using Unmanned Aerial Vehicle (UAV) images
AU - Hernina, R.
AU - Rokhmatuloh,
AU - Setyawan, B. A.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - Increasing solid waste volume from human activities makes solid waste stockpiles grows higher in municipal landfill site. This phenomenon has potential risk especially in form of increasing land surface temperature (LST) when compared to surrounding environment. However, detailed survey of LST in solid waste piles using conventional tools might be time-consuming. Therefore, this study offers alternative of elevation and LST measurement in waste piles using combined images from unmanned aerial vehicle (UAV) and Landsat 8. Herein, DJI Phantom 4 Pro was flown in a waste stockpile located in Cipayung landfill site, Depok Municipality, Indonesia. Digital Surface Model (DSM) was acquired from UAV images processing. LST prediction is processed from Landsat 8 thermal infrared sensors (TIRS) band 10. Resampling technique was employed to match spatial resolution between DSM and LST. Both solid waste elevation and LST were paired statistically using Pearson correlation coefficient to observe linear relationship between them. Results show that waste elevation and LST have positive correlation.
AB - Increasing solid waste volume from human activities makes solid waste stockpiles grows higher in municipal landfill site. This phenomenon has potential risk especially in form of increasing land surface temperature (LST) when compared to surrounding environment. However, detailed survey of LST in solid waste piles using conventional tools might be time-consuming. Therefore, this study offers alternative of elevation and LST measurement in waste piles using combined images from unmanned aerial vehicle (UAV) and Landsat 8. Herein, DJI Phantom 4 Pro was flown in a waste stockpile located in Cipayung landfill site, Depok Municipality, Indonesia. Digital Surface Model (DSM) was acquired from UAV images processing. LST prediction is processed from Landsat 8 thermal infrared sensors (TIRS) band 10. Resampling technique was employed to match spatial resolution between DSM and LST. Both solid waste elevation and LST were paired statistically using Pearson correlation coefficient to observe linear relationship between them. Results show that waste elevation and LST have positive correlation.
UR - http://www.scopus.com/inward/record.url?scp=85092344584&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/561/1/012034
DO - 10.1088/1755-1315/561/1/012034
M3 - Conference article
AN - SCOPUS:85092344584
SN - 1755-1307
VL - 561
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012034
T2 - 2019 International Conference of Science and Applied Geography, ICOSAG 2019
Y2 - 24 August 2019
ER -
