Application of Unmanned Aerial Vehicle (UAV) for Urban Green Space Mapping in Urbanizing Indian Cities

Geospatial data of urban green spaces (UGS) is mostly unavailable for emerging Indian cities, which effects their provisioning, maintenance and monitoring. In absence of spatial data, the strategic vision and comprehensive urban planning to enhance urban environment of cities witnessing transition are compromised. Owing to the direct link between urban environment and wellbeing of urban dweller, it is utmost important to address this gap and support planning process by providing the required data set of desired spatial and temporal scale. Though satellite imagery and remotely sensed data are widely used in environmental studies, for urban greens the spatial resolution of images is inapt. In addition, high cost acts as a barrier towards its wide scale application. Thus, the study reviews current state of literature on application of UAVs for spatial data generation to allow integrated analysis to support urban planning process. A case example of Nagpur city is presented to highlight specific direct applications. The review finds UAVs as cost effective and efficient tool for images with relevant resolution for planners and decision makers. While regulation hinder its wide applicability, the cost component, flexibility, timely monitoring and accessibility weighs UAVs as suitable tool for data collection in urban areas. As use of UAVs in urban areas is still limited, the study recommends more experimentations and trials to arrive at set methodology which could help in mapping of UGS and other qualitative data gathering to support urban planning and urban greening.

[1]  J. Breuste,et al.  Perception and value of nature in urban landscapes: a comparative analysis of cities in Germany, Chile and Spain. , 2008 .

[2]  Jiahui Zhang,et al.  An effective Building Neighborhood Green Index model for measuring urban green space , 2016, Int. J. Digit. Earth.

[3]  M. C. Quilter,et al.  A proposed method for determining shrub utilization using (LA/LS) imagery , 2001 .

[4]  M. Alberti,et al.  Integrating Humans into Ecology: Opportunities and Challenges for Studying Urban Ecosystems , 2003 .

[5]  Stephan Getzin,et al.  Assessing biodiversity in forests using very high‐resolution images and unmanned aerial vehicles , 2012 .

[6]  N. Coops,et al.  Satellites: Make Earth observations open access , 2014, Nature.

[7]  Konstantinos Tzoulas,et al.  Mapping Urban Green Infrastructure: A Novel Landscape-Based Approach to Incorporating Land Use and Land Cover in the Mapping of Human-Dominated Systems , 2018 .

[8]  O. Hagner,et al.  Unmanned aircraft systems help to map aquatic vegetation , 2014 .

[9]  A. Troy,et al.  Mapping ecosystem services: Practical challenges and opportunities in linking GIS and value transfer , 2006 .

[10]  Jeffrey E. Herrick,et al.  Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management , 2009 .

[11]  Farid Kendoul,et al.  Modelling the effects of fundamental UAV flight parameters on LiDAR point clouds to facilitate objectives-based planning , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

[12]  C. M. Lee,et al.  Urban vegetation monitoring in Hong Kong using high resolution multispectral images , 2005 .

[13]  Lucas N Joppa,et al.  Satellites miss environmental priorities. , 2007, Trends in ecology & evolution.

[14]  K. Puntambekar,et al.  Evaluating the Urban Green Space benefits and functions at macro, meso and micro level: case of Bhopal City , 2014 .

[15]  George Vosselman,et al.  Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects , 2018, ISPRS Int. J. Geo Inf..

[16]  Karen Anderson,et al.  Lightweight unmanned aerial vehicles will revolutionize spatial ecology , 2013 .

[17]  A. Mahizhnan Smart cities: The Singapore case , 1999 .

[18]  Takashi Matsubara,et al.  Advantages of unmanned aerial vehicle (UAV) photogrammetry for landscape analysis compared with satellite data: A case study of postmining sites in Indonesia , 2018 .

[19]  Osamu Saito,et al.  Mapping Methodology of Public Urban Green Spaces Using GIS: An Example of Nagpur City, India , 2019, Sustainability.

[20]  Russell G. Congalton,et al.  Assessing the accuracy of remotely sensed data : principles and practices , 1998 .

[21]  Salman Qureshi,et al.  Human–environment interactions in urban green spaces — A systematic review of contemporary issues and prospects for future research , 2015 .

[22]  Steven C. Chapra,et al.  Remote Sensing of Submerged Aquatic Vegetation in a Shallow Non-Turbid River Using an Unmanned Aerial Vehicle , 2014, Remote. Sens..

[23]  M. Yusof True colours of urban green spaces : identifying and assessing the qualities of green spaces in Kuala Lumpur, Malaysia , 2013 .

[24]  D. Satterthwaite Cities' contribution to global warming: notes on the allocation of greenhouse gas emissions , 2008 .

[25]  D. Govindarajulu,et al.  Urban green space planning for climate adaptation in Indian cities , 2014 .

[26]  O. Saito,et al.  Benchmark assessment of recreational public Urban Green space provisions: A case of typical urbanizing Indian City, Nagpur , 2019, Urban Forestry & Urban Greening.

[27]  K. Gaston,et al.  Historical influences on the current provision of multiple ecosystem services , 2015 .

[28]  Khairul Nizam Tahar,et al.  Identification of rut and pothole by using multirotor unmanned aerial vehicle (UAV) , 2019, Measurement.

[29]  Mazlan Hashim,et al.  Remote sensing UAV/drones and its applications for urban areas: a review , 2018, IOP Conference Series: Earth and Environmental Science.

[30]  John R. Taylor,et al.  Supplying urban ecosystem services through multifunctional green infrastructure in the United States , 2013, Landscape Ecology.

[31]  N. Coops,et al.  Application of high spatial resolution satellite imagery for riparian and forest ecosystem classification , 2007 .

[32]  A. Kaźmierczak,et al.  Promoting ecosystem and human health in urban areas using Green Infrastructure: A literature review , 2007 .

[33]  Robert S. Nuske,et al.  Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests , 2014, Remote. Sens..

[34]  Rajashree Kotharkar,et al.  Assessment of Urban Heat Island through Remote Sensing in Nagpur Urban Area Using Landsat 7 ETM+ Satellite Images , 2017 .

[35]  G. Bramley,et al.  Urban green nation: Building the evidence base , 2010 .

[36]  J. Théau,et al.  Recent applications of unmanned aerial imagery in natural resource management , 2014 .

[37]  Patricia Chow-Fraser,et al.  Use of fixed-wing and multi-rotor unmanned aerial vehicles to map dynamic changes in a freshwater marsh1 , 2016 .

[38]  Scot E. Smith,et al.  Small Unmanned Aircraft Systems for Low-Altitude Aerial Surveys , 2010 .

[39]  Burghard C. Meyer,et al.  MULBO: Model framework for multicriteria landscape assessment and optimisation. A support system for spatial land use decisions , 2008 .

[40]  N. Silvestri,et al.  Using unmanned aerial vehicles for vegetation mapping and identification of botanical species in wetlands , 2019, Landscape and Ecological Engineering.

[41]  Sofia Bajocco,et al.  A bibliometric analysis on the use of unmanned aerial vehicles in agricultural and forestry studies , 2019, International Journal of Remote Sensing.

[42]  A. Sia,et al.  Perspectives on five decades of the urban greening of Singapore , 2013 .

[43]  S. Qureshi,et al.  What determines the use of urban green spaces in highly urbanized areas? – Examples from two fast growing Asian cities , 2016 .

[44]  P. Verma,et al.  Ecosystem based Disaster Risk Reduction approaches (EbDRR) as a prerequisite for inclusive urban transformation of Nagpur City, India , 2018, International Journal of Disaster Risk Reduction.

[45]  Ian Mell,et al.  Green Infrastructure , 2021, The Palgrave Handbook of Global Sustainability.

[46]  Priya Narayanan,et al.  Role of green space in urban planning: Outlook towards smart cities , 2017 .