A non-intrusive image analysis technique for measurement of heterogeneity in grass species around tree vicinity in a green infrastructure. (January 2018)
- Record Type:
- Journal Article
- Title:
- A non-intrusive image analysis technique for measurement of heterogeneity in grass species around tree vicinity in a green infrastructure. (January 2018)
- Main Title:
- A non-intrusive image analysis technique for measurement of heterogeneity in grass species around tree vicinity in a green infrastructure
- Authors:
- Gadi, Vinay Kumar
Garg, Ankit
Prakash, Shiv
Wei, Lili
Andriyas, Sanyogita - Abstract:
- Highlights: Visual analysis as new measurement approach for studying tree-grass interaction. Vegetation density in tree vicinity is found to be more non-uniform than shoot growth. Vegetation growth is more heterogeneous during transition from dry to wet period. Grass growth is much higher away from tree stem than near tree stem. Abstract: Spatial heterogeneity of vegetation growth is important for maintenance of urban green space. It also governs the differential settlement of foundation of buildings and performance of biofiltration units. The objective of this study is to analyse the heterogeneity in vegetation density and shoot growth of a grass around a tree vicinity. A novel non-intrusive image analysis approach was designed and developed for quantifying heterogeneity in vegetation growth. A commercially available unmanned air vehicle (UAV; PHANTOM 3 STANDARD) was utilized to capture images. Vegetation density from these captured images were quantified using a public domain image processing program ImageJ. Atmospheric parameters were monitored by micro-climate monitoring system for interpreting vegetation growth. It is found that, at a given radial distance from stem of tree, vegetation density range is found more heterogenous than shoot growth. The basic assumption of symmetricity around tree vicinity as adopted in previous models for root water uptake is found to be not true. Variation of rainfall is one of the main reason causing heterogeneity in grass growth aroundHighlights: Visual analysis as new measurement approach for studying tree-grass interaction. Vegetation density in tree vicinity is found to be more non-uniform than shoot growth. Vegetation growth is more heterogeneous during transition from dry to wet period. Grass growth is much higher away from tree stem than near tree stem. Abstract: Spatial heterogeneity of vegetation growth is important for maintenance of urban green space. It also governs the differential settlement of foundation of buildings and performance of biofiltration units. The objective of this study is to analyse the heterogeneity in vegetation density and shoot growth of a grass around a tree vicinity. A novel non-intrusive image analysis approach was designed and developed for quantifying heterogeneity in vegetation growth. A commercially available unmanned air vehicle (UAV; PHANTOM 3 STANDARD) was utilized to capture images. Vegetation density from these captured images were quantified using a public domain image processing program ImageJ. Atmospheric parameters were monitored by micro-climate monitoring system for interpreting vegetation growth. It is found that, at a given radial distance from stem of tree, vegetation density range is found more heterogenous than shoot growth. The basic assumption of symmetricity around tree vicinity as adopted in previous models for root water uptake is found to be not true. Variation of rainfall is one of the main reason causing heterogeneity in grass growth around tree vicinity. Heterogeneity in vegetation growth more prominent near the tree vicinity than away from it. An increase in vegetation density is found within 2 m radial distance in both sides of tree stem due to presence of shredded leaves from tree during winter. … (more)
- Is Part Of:
- Measurement. Volume 114(2018)
- Journal:
- Measurement
- Issue:
- Volume 114(2018)
- Issue Display:
- Volume 114, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 114
- Issue:
- 2018
- Issue Sort Value:
- 2018-0114-2018-0000
- Page Start:
- 132
- Page End:
- 143
- Publication Date:
- 2018-01
- Subjects:
- Vegetation density -- Shoot growth -- Image processing -- Interactive effects -- Non-intrusive
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2017.09.010 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8567.xml