Publikasi

@conference{Putri2019,

title = {Tree carbon stock estimation model based on canopy density in green open space area Depok City},

author = {Hafidzah Putri and Rachmad Hermawan and Yudi Setiawan},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11372/2540430/Tree-carbon-stock-estimation-model-based-on-canopy-density-in/10.1117/12.2540430.short},

doi = {10.1117/12.2540430},

year  = {2019},

date = {2019-12-28},

volume = {11372},

publisher = {SPIE},

abstract = {Depok is a city with rapid undergoing economic and infrastructure development in Indonesia. Such increasing growth in infrastructure affected positively to increase the population, and then, it threat an existence of remaining green open areas. Vegetation on green open areas has a role as the carbon storage in forms of trees. This research aim is to find the correlation between tree carbon stock and Leaf Area Index (LAI) in green open space. The method were used vegetation analysis and field measurement to collect diameter data for estimate carbon stock and hemispherical photography to measure the LAI. The result shown that the highest tree carbon stock were located in University of Indonesia City Forest (87.02 ton C/ha) with the highest vegetation index was Falcataria moluccana. The amount of tree carbon stock in Pancoran Mas Forest Park was 13.96 ton C/ha and in Lembah Gurame Park was 6.25 ton C/ha. LAI estimated in University of Indonesia City Forest was between 3.30 – 6.55, Pancoran Mas Forest Park 2.96 – 3.77 and Lembah Gurame Park 1.46 – 2.92. The correlation between the two variables were weak, rxy=0.32 and has polynomial equation C = -2.0874LAI2 + 10.188LAI - 9.5021 with R2= 0.477.},

keywords = {canopy density, carbon stock},

pubstate = {published},

tppubtype = {conference}

}