Rainwater harvesting and green area retention potential detection using commercial unmanned aerial vehicles

Energy Management of Municipal Transportation Facilities and Transport - EMMFT 2017

Kamnik, Rok^1 ; Grajfoner, Blanka^1 ; Butyrin, Andrey^2 ; Perc, Matjaz Nekrep^1

Faculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, Slovenia^1

Moscow State University of Civil Engineering, Yaroslavskoe shosse, 26, Moscow

129337, Russia^2

关键词: Design parameters;    Elevation models;    Field test;    Green areas;    Mapping area;    Rain water harvesting;    Rainwater harvesting system;    Remote sensing data;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/90/1/012113/pdf
DOI  :  10.1088/1755-1315/90/1/012113

来源: IOP

【 摘 要 】

The objective of this work is to use simple photogrammetry to evaluate rainwater harvesting and green area retention potential in Maribor, Slovenia city centre. Several sources of remote sensing data have been described and a field test with semi-professional drone was performed by means of computer evaluation of rainwater harvesting and green area retention potential. Some of the most important design parameters for rainwater harvesting systems as roof area and slope and available green areas were identified and evaluated. The results have shown that even semi-professional low budget drones can be successfully used for mapping areas of interest. The results of six-minute flight over twelve hectares of Maribor city centre were comparable with professional results of plane remote sensing. Image segmentation from orthomosaic together with elevation model has been used to detect roofs and green areas.