PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

J

• Assmann, J. J., Kerby, J. T., Cunliffe, A. M., & Myers-Smith, I. H. (2019). Vegetation monitoring using multispectral sensors - best practices and lessons learned from high latitudes. Journal of Unmanned Vehicle Systems, 7(1), 54-75. https://doi.org/10.1139/juvs-2018-0018

• Bihuňová, M., Supuka, J., Tóth, A., Šinka, K., & Kuczman, G. (2021). Urban green areas and woody plant composition: Dwelling space quality factor in the Klokočina Housing Estate. Ekológia(Bratislava), 40(1), 80-90. https://doi.org/10.2478/eko-2021-0010

• Booth, D. T., Cox, S. E., Meikle, T., & Zuuring, H. R. (2008). Ground-cover measurements: Assessing correlation among aerial and ground-based methods. Environmental Management, 42(6), 1091-1100. https://doi.org/10.1007/S00267-008-9110-X/TABLES/5

• Cheela, V. R. S., John, M., Biswas, W., & Sarker, P. (2021). Combating urban heat island effect - A review of reflective pavements and tree shading strategies. Buildings, 11(3), 1-21. https://doi.org/10.3390/BUILDINGS11030093

• Chen, Y., Wang, X., Jiang, B., & Li, L. (2018). The leaf phenophase of deciduous species altered by land pavements. International Journal of Biometeorology, 62(6), 949-959. https://doi.org/10.1007/s00484-018-1497-3

• Colomina, I., & Molina, P. (2014). Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 79-97. https://doi.org/10.1016/j.isprsjprs.2014.02.013

• Conway, T. M., & Yip, V. (2016). Assessing residents’ reactions to urban forest disservices: A case study of a major storm event. Landscape and Urban Planning, 153, 1-10. https://doi.org/10.1016/j.landurbplan.2016.04.016

• de La Barra, J. R., Ponce-Donoso, M., Vallejos-Barra, O., Daniluk-Mosquera, G., & Coelho Duarte, A. P. (2018). Comparison of four methods of visual risk tree assessment in urban areas. Colombia Forestal, 21(2), 161-173. https://doi.org/10.14483/2256201X.12604

• de la Mota Daniel, F. J., Day, S. D., Owen, J. S., Stewart, R. D., Steele, M. K., & Sridhar, V. (2018). Porous-permeable pavements promote growth and establishment and modify root depth distribution of Platanus × acerifolia (Aiton) willd. in simulated urban tree pits. Urban Forestry and Urban Greening, 33, 27-36. https://doi.org/10.1016/j.ufug.2018.05.003

• Duffy, J. P., Cunliffe, A. M., DeBell, L., Sandbrook, C., Wich, S. A., Shutler, J. D., Myers-Smith, I. H., Varela, M. R., & Anderson, K. (2018). Location, location, location: considerations when using lightweight drones in challenging environments. Remote Sensing in Ecology and Conservation, 4(1), 7-19. https://doi.org/10.1002/rse2.58

• Dunster, J. A., Smiley, E. T., Matheny, N., & Lilly, S. (2017). Tree Risk Assessment Manual (2nd ed.). International Society of Arboriculture.

• Gashu, K., Gebre-Egziabher, T., & Wubneh, M. (2019). Local communities’ perceptions and use of urban green infrastructure in two Ethiopian cities: Bahir Dar and Hawassa. Journal of Environmental Planning and Management, 63(2), 287-316. https://doi.org/10.1080/09640568.2019.1578643

• Guo, M., Tan, Y., Wang, L., & Hou, Y. (2018). A state-of-the-art review on interfacial behavior between asphalt binder and mineral aggregate. In Frontiers of Structural and Civil Engineering (Vol. 12, Issue 2, pp. 248-259). Springer. https://doi.org/10.1007/s11709-017-0422-x

• Gupta, K., Kumar, P., Pathan, S. K., & Sharma, K. P. (2012). Urban neighborhood green index – A measure of green spaces in urban areas. Landscape and Urban Planning, 105(3), 325-335. https://doi.org/10.1016/j.landurbplan.2012.01.003

• Hasan, R., Othman, N., & Ismail, F. (2018). Developing Malaysian roadside tree species selection model in urban areas. Planning Malaysia Journal, 16(3), 248-260. https://doi.org/10.21837/pm.v16i7.515

• Hauer, R. J., & Peterson, W. D. (2016). Municipal tree care and management in the United States: A 2014 urban & community forestry census of tree activities. Special Publication, 16(1), 1-71.

• Hestir, E. L., Khanna, S., Andrew, M. E., Santos, M. J., Viers, J. H., Greenberg, J. A., Rajapakse, S. S., & Ustin, S. L. (2008). Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem. Remote Sensing of Environment, 112(11), 4034-4047. https://doi.org/10.1016/J.RSE.2008.01.022

• Kaewkhow, S., & Srivanit, M. (2020). Aggregation of Thai arborist judgments on urban tree hazard inventories used to determine tree health at single-tree level. IOP Conference Series: Materials Science and Engineering, 910, Article 012023. https://doi.org/10.1088/1757-899X/910/1/012023

• Kanniah, K. D. (2017). Quantifying green cover change for sustainable urban planning: A case of Kuala Lumpur, Malaysia. Urban Forestry & Urban Greening, 27, 287-304. https://doi.org/10.1016/J.UFUG.2017.08.016

• Klein, R. W., Koeser, A. K., Hauer, R. J., Hansen, G., & Escobedo, F. J. (2019). Risk assessment and risk perception of trees: A review of literature relating to arboriculture and urban forestry. Arboriculture and Urban Forestry, 45(1), 26-38. https://doi.org/10.48044/JAUF.2019.003

• Lachowycz, K., & Jones, A. P. (2011). Greenspace and obesity: A systematic review of the evidence. Obesity Reviews, 12(5), e183-e189. https://doi.org/10.1111/J.1467-789X.2010.00827.X

• Listyarini, S., Warlina, L., Indrawati, E., & Pardede, T. (2014). Optimization model for predicting green areas in Jakarta to minimize impacts of climate change. WIT Transactions on Ecology and the Environment, 191, 305-315. https://doi.org/10.2495/SC140261

• Lyytimäki, J., & Sipilä, M. (2009). Hopping on one leg – The challenge of ecosystem disservices for urban green management. Urban Forestry & Urban Greening, 8(4), 309-315. https://doi.org/10.1016/J.UFUG.2009.09.003

• Milligan, C., & Bingley, A. (2007). Restorative places or scary spaces? The impact of woodland on the mental well-being of young adults. Health & Place, 13(4), 799-811. https://doi.org/10.1016/J.HEALTHPLACE.2007.01.005

• Mitchell, R., & Popham, F. (2007). Greenspace, urbanity and health: Relationships in England. Journal of Epidemiology & Community Health, 61(8), 681-683. https://doi.org/10.1136/JECH.2006.053553

• Mullaney, J. (2015). Using Permeable Pavements to Promote Street Tree Growth. [Doctoral dissertation]. University of the Sunshine Coast, Queensland. https://doi.org/10.25907/00454

• Mullaney, J., Lucke, T., & Trueman, S. J. (2015). The effect of permeable pavements with an underlying base layer on the growth and nutrient status of urban trees. Urban Forestry & Urban Greening, 14(1), 19-29. https://doi.org/10.1016/j.ufug.2014.11.007

• Rahman, M. A., Moser, A., Rötzer, T., & Pauleit, S. (2017). Microclimatic differences and their influence on transpirational cooling of Tilia cordata in two contrasting street canyons in Munich, Germany. Agricultural and Forest Meteorology, 232, 443-456. https://doi.org/10.1016/j.agrformet.2016.10.006

• Rahman, M. A., Smith, J. G., Stringer, P., & Ennos, A. R. (2011). Effect of rooting conditions on the growth and cooling ability of Pyrus calleryana. Urban Forestry and Urban Greening, 10(3), 185-192. https://doi.org/10.1016/j.ufug.2011.05.003

• Rahman, M. A., Stringer, P., & Ennos, A. R. (2013). Effect of pit design and soil composition on performance of Pyrus calleryana street trees in the establishment period. Arboriculture and Urban Forestry, 39(6), 256-266.

• Rahman, M., Haque, S., & Rahman, Z. (2020). Identifying and categorizing opinions expressed in Bangla sentences using deep learning technique. International Journal of Computer Applications, 176(17), 13-17. https://doi.org/10.5120/ijca2020920119

• Rotherham, I. D. (2020). Routledge handbook of urban forestry. Arboricultural Journal, 42(3), 180-183. https://doi.org/10.1080/03071375.2020.1738787

• Schmidlin, T. W. (2009). Human fatalities from wind-related tree failures in the United States, 1995-2007. Natural Hazards, 50(1), 13-25. https://doi.org/10.1007/s11069-008-9314-7

• Schneider, A., Friedl, M. A., & Potere, D. (2010). Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions.’ Remote Sensing of Environment, 114(8), 1733-1746. https://doi.org/10.1016/J.RSE.2010.03.003

• Seifert, E., Seifert, S., Vogt, H., Drew, D., van Aardt, J., Kunneke, A., & Seifert, T. (2019). Influence of drone altitude, image overlap, and optical sensor resolution on multi-view reconstruction of forest images. Remote Sensing, 11(10), Article 1252. https://doi.org/10.3390/rs11101252

• Semeraro, T., Scarano, A., Buccolieri, R., Santino, A., & Aarrevaara, E. (2021). Planning of urban green spaces: An ecological perspective on human benefits. Land, 10(2), Article 105. https://doi.org/10.3390/land10020105

• Seng, H. W., Ratnam, W., Noor, S. M., & Clyde, M. M. (2004). The effects of the timing and method of logging on forest structure in Peninsular Malaysia. Forest Ecology and Management, 203(1-3), 209-228. https://doi.org/10.1016/J.FORECO.2004.07.050

• Song, Y., Li, F., Wang, X., Xu, C., Zhang, J., Liu, X., & Zhang, H. (2015). The effects of urban impervious surfaces on eco-physiological characteristics of Ginkgo biloba: A case study from Beijing, China. Urban Forestry and Urban Greening, 14(4), 1102-1109. https://doi.org/10.1016/j.ufug.2015.10.008

• Staples, G. W., & Elevitch, C. R. (2006). Samanea saman (rain tree). In C. R. Elevitch (Ed.), Species Profiles for Pacific Island Agroforestry (pp. 1-14). Permanent Agriculture Resources (PAR).

• Stathers, T. E., Rees, D., Kabi, S., Mbilinyi, L., Smit, N., Kiozya, H., Jeremiah, S., Nyango, A., & Jeffries, D. (2003). Sweetpotato infestation by Cylas spp. in East Africa: I. Cultivar differences in field infestation and the role of plant factors. International Journal of Pest Management, 49(2), 131-140. https://doi.org/10.1080/0967087021000043085

• Vaz, A. S., Kueffer, C., Kull, C. A., Richardson, D. M., Vicente, J. R., Kühn, I., Schröter, M., Hauck, J., Bonn, A., & Honrado, J. P. (2017). Integrating ecosystem services and disservices: Insights from plant invasions. Ecosystem Services, 23, 94-107. https://doi.org/10.1016/j.ecoser.2016.11.017

• Vogt, J., Hauer, R. J., & Fischer, B. C. (2015). The costs of maintaining and not maintaining the urban forest: A review of the urban forestry and arboriculture literature. Arboriculture and Urban Forestry, 41(6), 293-323.

• Wang, J., Rich, P. M., & Price, K. P. (2003). Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. International Journal of Remote Sensing, 24(11), 2345-2364. https://doi.org/10.1080/01431160210154812

• Wang, X. M., Wang, X. K., Su, Y. B., & Zhang, H. X. (2019). Land pavement depresses photosynthesis in urban trees especially under drought stress. Science of the Total Environment, 653, 120-130. https://doi.org/10.1016/j.scitotenv.2018.10.281

• Wang, X., Wang, X., Sun, X., Berlyn, G. P., & Rehim, A. (2020). Effect of pavement and water deficit on biomass allocation and whole-tree transpiration in two contrasting urban tree species. Urban Ecosystems, 23(4), 893-904. https://doi.org/10.1007/s11252-020-00953-z

• Weier, J., & Herring, D. (2000). Measuring Vegetation (NDVI & EVI). Earth Observatory. National Aeronautics and Space Administration.

• Xiao, Q., & McPherson, E. G. (2005). Tree health mapping with multispectral remote sensing data at UC Davis, California. Urban Ecosystems, 8(3-4), 349-361. https://doi.org/10.1007/s11252-005-4867-7

• Yang, C., He, X., Wang, R., Yan, F., Yu, L., Bu, K., Yang, J., Chang, L., & Zhang, S. (2017). The effect of urban green spaces on the urban thermal environment and its seasonal variations. Forests, 8(5), Article 153. https://doi.org/10.3390/F8050153