Role of Unmanned Aerial Systems for Natural Resource Management
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Role of Unmanned Aerial Systems for Natural Resource Management Prabuddh Kumar Mishra1
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Aman Rai1
Received: 5 October 2020 / Accepted: 22 October 2020 Ó Indian Society of Remote Sensing 2020
Abstract Natural resources management (NRM) is an important application of satellite remote sensing. The need for cost-effective, accurate, demand-based high-resolution data for natural resources management is growing in developing countries. However, the higher cost of satellite data, limitations of temporal and spatial resolution are the biggest hurdle for continuous monitoring of the dynamics of natural resources, i.e. agriculture, forest, water and land resources. Due to these limitations, unmanned aerial system (UAS)-based remote sensing studies for natural resource management are rapidly growing, as it offers several advantages, i.e. flexibility, efficiency, easy operation, higher spatial resolution, multispectral resolution and cost-effectiveness over high-resolution satellite data. The role of UAS is optimal in remote areas for mapping and monitoring. The constantly improving technology of UAS has led to several advantages over satellite data, however; some challenges remain the same as the main focus of UAS developers is to reduce the cost and payload weight. The challenges include poor radiometric and geometric performance, small payload, large dataset, data processing, regulation and restrictions. The application of UAS is still in its initial phase; however, its ability to produce applicationspecific data at relatively lower cost has proved that UAS has a great potential for natural resources management. Based on the existing literature, this study is an attempt to evaluate the current status of the use of UAS for NRM along with its major strength, opportunity, weakness, threats and future perspective. Keywords Natural resource management Satellite remote sensing UAS Agriculture Forest
Introduction Unmanned aerial systems (UASs) commonly known as drones or unmanned aerial vehicle (UAV) have gained significant popularity in recent years (De-Rango et al. 2017). UAS has been identified as a potential technology that can acquire real-time high-resolution remote sensing data (Wozencraft and Lillycrop 2003; Turner et al. 2016). Even though the earth observational satellites increased in numbers and range (Drusch et al. 2012; Hand 2015), their high spatial and temporal resolution is generally too coarse for various quantitative remote sensing applications making it inadequate to be useful for various real-time natural
& Prabuddh Kumar Mishra [email protected] Aman Rai [email protected] 1
Department of Geography, Shivaji College, University of Delhi, New Delhi, India
resource mapping and monitoring applications. The demand for quick, frequent, easy to deploy and immediate accessibility of remote sensing data is rising in most RS applications. Development of the UAS technology over the last decade has made it lightweight, flexible, secure, easy to deploy and cost-effective (Colom
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