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Unmanned Aerial Vehicle-Based Multispectral Remote Sensing for Commercially Important Aromatic Crops in India for Its Efficient Monitoring and Management J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-16 Sonam Bahuguna, Shubham Anchal, Deepak Guleria, Mamta Devi, Meenakshi, Devshree Kumar, Rakesh Kumar, P. V. S. Murthy, Amit Kumar
Aromatic plants cultivation, processing and marketing is an upcoming agro-industry. The yields from these plants are generally governed by its good management practices of timely, suitable and precise actions against damaging factors. Remote sensing in agriculture is not a new phenomenon anymore, but using unmanned aerial vehicle (UAV, commonly known as drones) for the same is a pertinent topic these
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Development of A Spatial Decision System for Irrigation Management J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-13 Ashish Pandey, Nikhil Mogarekar
Spatial decision system provides a framework for integrating database management systems, analytical models, and graphics to improve the decision-making process from a farm-scale to a regional level. In this study, a graphical user interface for irrigation management has been developed with the support of a geographical information system (GIS) customization using Visual Basic for Application (VBA)
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A Spatio-Temporal Assessment and Prediction of Surface Urban Heat Island Intensity Using Multiple Linear Regression Techniques Over Ahmedabad City, Gujarat J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-13 Pir Mohammad, Ajanta Goswami
The present study intends to understand the variability in land surface temperature and urban heat island over Ahmedabad city, Gujarat, from 2003 to 2018 using MODIS thermal data. The spatio-temporal variability of land surface temperature dynamics is understood by pixel to pixel linear regression analysis along with Mann–Kendall and Sen's slope estimator tests. A Gaussian fitting technique is employed
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A Comparative Study of 1D-Convolutional Neural Networks with Modified Possibilistic c -Mean Algorithm for Mapping Transplanted Paddy Fields Using Temporal Data J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-12 Anuvi Rawat, Anil Kumar, Priyadarshi Upadhyay, Shashi Kumar
With increasing availability of satellite data of high temporal resolution, a more robust classifier is needed which can exploit the temporal information along with the spectral information of the remote sensing images. Specific fuzzy-based and learning-based algorithms are two broad categories and have the potential to perform well in spectral–temporal domain. In the present study, for mapping paddy
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Simulating the Expansion of Built-Up Areas using the Models of Logistic Regression, Artificial Neural Network, and Geo-Mod in Marivan City, Iran J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-06 Sasan Vafaei, Mohammed Mahdi Karim, Satar Soltanian, Sabri Rasooli
Understanding and modeling land use and land cover changes are critically important subjects for the purposes of environmental management, planning, and civil engineering. Models are considered as good approaches for having better estimation or understanding of the phenomenon of land use, land cover changes, thoughtful planning, and alteration in better management of cities and villages. Therefore
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Three Decades of Nationwide Forest Cover Mapping Using Indian Remote Sensing Satellite Data: A Success Story of Monitoring Forests for Conservation in India J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-03 Subhash Ashutosh, P. S. Roy
India is a biodiversity-rich country. The panorama of Indian forests ranges from tropical evergreen rain forests in the Andaman and Nicobar Islands, the Western Ghats, and the north-eastern States, to Dry Alpine Scrub high in the Himalayas in the north. On the other extreme, tropical dry deciduous and thorn forest is found in the deserts and dry areas of Rajasthan and Gujarat. The variety and distribution
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Himalayan Cryospheric Science: A Paradigm Shift By IRS 1C/1D DATA J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-03 Anil V. Kulkarni, I. M. Bahuguna, D. P. Dobhal, H. S. Negi
Himalayan region is a water tower (W.T.) of Asia due to a large concentration of cryosphere. The area generates a large amount of water and used by the millions of people living in the Indo-Gangetic plains. The W.T. provides a sustainable source of water for Indus, Ganga, and Brahmaputra river basins. By considering the importance of the Himalayan cryosphere, the field-based glaciological programme
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Aerial Close-Range Photogrammetry to Quantify Deformations of the Pile Retaining Walls J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-03 Abdullah Ekinci, Tanner Muturi, Pedro Miguel Vaz Ferreira
Today, as structures with life expectancy of more than 100 years are being constructed, it is vital to gain knowledge about the gradual decline in material properties. Accordingly, to ensure the longevity and safety of these structures, monitoring has been incorporated as a fundamental part of their service life. To monitor structural deformation, various methods have been developed, with the most
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Contribution of IRS-1C Data to Agricultural Monitoring: A Review J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-03 Shibendu S. Ray, Raghavendra P. Singh, Karan Choudhary
Indian Remote Sensing (IRS) program has always focused on food security needs and applications. IRS-1C was the fourth satellite on the IRS platform after many successful applications from IRS-1A, 1B, and P2 satellites. The LISS-I and LISS-II camera onboard IRS-1A/1B/P2 platform provided useful data for various natural resource management applications of country, including inventories of major crops
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Effect of Land Use\Land Cover Changes on Estimated Potential Runoff in the Nablus Mountains Watersheds of Palestine: A Case Study J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-03 Najeh F. Asmar, Jillian Ooi Lean Sim, Ahmed Ghodieh, Rosmadi Fauzi
Freshwater is a major concern in arid and semi-arid regions of the West Bank due to political conditions where the Israeli occupation controls the groundwater resources and physical drivers such as land use/land cover (LULC) changes. The Nablus Mountains region receives between 175 and 739.1 mm of annual rainfall. Hence, direct runoff is high and untapped because of surface and rainfall characteristics
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A Geospatial Study of Archaeological Remains at Halebidu: An Integrative Approach to Identify Unexplored Features J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-02 Sonia Das, M. B. Rajani
The site Halebidu in Karnataka, India, is famous for its ornately carved Hoysala style temples. This fortified city was the capital of Hoysala dynasty in the twelfth century AD and possessed unique and exquisite examples of temple architecture that was typical of Hoysala style, only a few of which have survived. The site of Halebidu features as one of the two sites in the "Sacred Ensembles of the Hoysala"
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Agricultural Field Detection from Satellite Imagery Using the Combined Otsu’s Thresholding Algorithm and Marker-Controlled Watershed-Based Transform J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-02 Mustafa Turker, Alireza Rahimzadeganasl
An accurate detection of agricultural fields is often needed for agricultural-related applications, such as subsidies monitoring, field-based crop yield estimation and agricultural statistics extraction. High-resolution space images have become the fundamental source to extract agricultural field boundaries. Manual boundary delineation is not practical. In this study, we present an approach to detect
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Prediction of Urban Heat Island Effect over Jinan City Using the Markov-Cellular Automata Model Combined with Urban Biophysical Descriptors J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-02 Xiangjin Meng, Fei Meng, Zhan Zhao, Chenglong Yin
The feasibility of integrating urban biophysical descriptors into land surface temperature (LST) prediction in a rapidly urbanizing region, Jinan, China, was explored. We combined several models, including LST and an urban biophysical descriptor generation algorithm, through regression analysis and cellular automata-Markov modeling. First, the relationship between the indices, including the soil-adjusted
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Remembering IRS-1C Imaging Payloads: A Giant Leap in Indian Space Imaging System Evolution J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-02 A. S. Kiran Kumar, D. R. M. Samudraiah
Indian Remote Sensing (IRS) programme started in 1970s and has grown very systematically in all aspects of sensors, data products and applications for resources survey. Imaging systems onboard IRS-1C satellite, flown in 1995, made a remarkable impact by providing on a single platform, the ability to simultaneously image in multiple spectral channels, multiple geometric resolutions and multiple revisit
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Menthol Mint ( Mentha arvensis L.) Crop Acreage Estimation Using Multi-temporal Satellite Imagery J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-01 Mohammad Saleem Khan, Swati Singh, Praveen Pandey, Manoj Semwal, Alok Kalra
Crop acreage estimation is an essential component for forecasting crop production. Menthol mint acreage estimation is a necessity as the crop production data change every year due to fluctuations in the market prices of menthol mint oil; hence, the rate available to farmers also changes every year. These acreage estimation studies would be helpful in reducing the uncertainties of menthol mint production
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Role of IRS-1C in Developing Remote Sensing Applications for Water Management in India J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2021-01-01 K. Abdul Hakeem, P. V. Raju, E. Siva Sankar, Saindranath Jonna
Efficient water management is essential for water and food security leading to socio-economic development. In order to build resilience and achieve water security, planning and management of water resources projects needs to be based on realistic assessment of related aspects. This requires comprehensive, reliable and easily accessible information on demand, availability and utilisation of water resources
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Comparison and Validation of Satellite-Derived Digital Surface/Elevation Models over India J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-12-04 R. Goyal, W. E. Featherstone, O. Dikshit, N. Balasubramania
India presents among the world’s most topographically complex geomorphologies, with land elevations ranging from –2 m to + 8586 m and terrain gradients sometimes exceeding 45°. Here, we present an evaluation of four freely available digital surface models (DSMs) on a model-to-model basis, as well as a validation using independent ground-truth data from levelled benchmarks in India. The DSMs tested
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Estimation of Soil Salinity Under Various Soil Moisture Conditions Using Laboratory Based Thermal Infrared Spectra J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-24 Lu Xu, Zhichun Wang, Jinshan Hu, Shuguo Wang, John Maina Nyongesah
Soil salinization is a world-wide phenomenon that threatens ecological environment and agricultural production. Modeling soil salt content (SSC) is a big challenge because of its huge spatiotemporal variation and the interference of soil water content (SWC) and soil salt types. Prior studies showed more interest in the use of hyperspectral reflectance, while few studies focused on thermal infrared
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Surveillance of Suspicious Activities of Chinese Army Near Indian LAC J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-24 Aditya Kakde, Bhavana Kaushik, Durgansh Sharma, Neelu Jyoti Ahuja
According to the agreement of border sharing between India and China, China was supposed to be posted till finger 8 position and India till finger 4 position and between the finger 8 and finger, 4 was considered no man’s land in which only patrolling is allowed. But in recent days, chinese has crossed finger 8 position and has set up its camp near finger 4 position means in no man’s land, therefore
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Remote Sensing Analysis of Agricultural Drone J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-24 S. Meivel, S. Maheswari
Farmers have more requirements for the completion of cultivations. Remote sensing is a big technology for reducing this requirement. Now, we need an organic spraying system at a low cost. We have two methods, first one neural network algorithm of quantum geographic information system (QGIS) and another one global positioning system (GPS) with drone. This paper describes the analysis of drone remote
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Detecting Water Depth from Remotely Sensed Imagery Based on ELM and GA-ELM J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-24 Guizhou Zheng, Weihua Hua, Zhonghang Qiu, Zimei Gong
The shallow seawater depth inversion based on remote sensing technology is important for water depth detection, which is of considerable significance to marine engineering, shipping, and marine military security. In this study, we took the Taiping Island and its adjacent waters in the South China Sea as a test bed and developed a water depth inversion model on the basis of extreme learning machine
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Identification of Desakota Region and Urban Growth Analysis in Patna City, India Using Remote Sensing Data and GIS J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-23 Baddiuzaman Khan, V. S. Rathore, A. P. Krishna
In India, the urban population is likely to be 40% of its total population by the year 2030. In such a scenario, managing urban areas is a challenge for planners in terms of developing sustainable infrastructures and addressing environmental issues. The transitional areas in the surroundings of the peripheral region of large and growing cities are called Desakota. Monitoring of such areas is essential
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Modelling Spatial Drivers for LU/LC Change Prediction Using Hybrid Machine Learning Methods in Javadi Hills, Tamil Nadu, India J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-23 Sam Navin MohanRajan, Agilandeeswari Loganathan
The land-use/land-cover (LU/LC) information can be extracted through continuous monitoring and observation of the global environment in the field of RS and GIS (remote sensing and geographic information system). With many inventions on satellite technologies, RS plays a crucial role throughout the world, and the researchers had shown their interest in finding the past, present, and future LU/LC information
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Analysis of the Economic Value and Status of the Ecosystem Services Provided by the Ashtamudi Wetland Region, a Ramsar Site in Kerala J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-21 Nayana Merin Joy, Saikat Kumar Paul
Wetlands provide critical services such as protection against flooding and wave action, water quality maintenance, habitat provision, food products, etc. Ashtamudi is the second-largest wetland ecosystem in Kerala state, and it provides numerous ecosystem services (ES). This study has analysed the economic value and current status of 11 important ES provided by this wetland. The considered services
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Correction to: Assessment of Groundwater Potential in the Kalahandi District of Odisha (India) Using Remote Sensing, Geographic Information System and Analytical Hierarchy Process J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-20 T. Goitsemang, D. M. Das, S. K. Raul, C. R. Subudhi, B. Panigrahi
Groundwater
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UAV Hyperspectral Remote Sensing Estimation of Soybean Yield Based on Physiological and Ecological Parameter and Meteorological Factor in China J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-20 Changchun Li, Chunyan Ma, Yingqi Cui, Guozheng Lu, Fengyuan Wei
Accurate soybean yield estimates are important for establishing effective agricultural and soybean trade policies aimed at ensuring food security in China. Unmanned aerial vehicles (UAV) have been used to collect hyperspectral remote sensing data for soybean yield inversion owing to the flexibility, efficiency, and low cost of the technology. Traditional yield inversion algorithms are based on physiological
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UAV Remote Sensing for Campus Monitoring: A Comparative Evaluation of Nearest Neighbor and Rule-Based Classification J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-20 Anuj Tiwari, Surendra Kumar Sharma, Abhilasha Dixit, Vishal Mishra
UAV technology when aided with the unique data acquisition strategies, preprocessing techniques and analytical abilities of an established domain of remote sensing provide more affordable, customized and user-friendly option of “UAV-Remote Sensing”. This extended branch of remote sensing flourishes in both the mapping and measurement, if implemented in the ordered fashion to ensure remote sensing grade
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Estimation of Surface Moisture Content using Sentinel-1 C-band SAR Data Through Machine Learning Models J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-20 Subhadip Datta, Pulakesh Das, Dipanwita Dutta, Rakesh Kr. Giri
Monitoring the spatio-temporal variation in soil moisture content (SMC) of the surface soil layer is essential for agriculture and water resource management activities, especially in regions where the socio-economic condition and livelihood depend upon agriculture and allied sectors. In the present study, we have compared different machine learning (ML) and linear regression models to estimate the
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Time-Series Analysis of Surface-Water Quality in Xiong’an New Area, 2016–2019 J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-19 Mingxiu Wang, Yue Yao, Qian Shen, Hongjie Gao, Junsheng Li, Fangfang Zhang, Qingshuang Wu
The Xiong'an New Area was established by the Chinese government on 1 April 2017 as a new district in the Hebei Province, and soon after its establishment, investigations on the waterbodies of the district began to initiate governance. In this study, data from 105 Sentinel-2 cloudless images for the period April 2016–September 2019 were analysed to understand the changes in the concentrations of chlorophyll-a
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Two-Level Band Selection Framework for Hyperspectral Image Classification J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-19 Munmun Baisantry, Anil Kumar Sao, Dericks Praise Shukla
Dimensionality reduction strategies can be broadly categorized as band selection and feature extraction. Researchers and analysts from the remote sensing community give greater preference to band selection over feature extraction as the latter modifies the original reflectance values of hyperspectral data, making it difficult to understand the behavior of the materials in terms of their reflectance
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PSInSAR-Based Surface Deformation Mapping of Angkor Wat Cultural Heritage Site J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-18 Shashi Kumar, S. Kandasamy Vignesh, Arun Babu, Praveen K. Thakur, Shefali Agrawal
Satellite data are making revolutionary changes in the field of archaeology, and nowadays they have been widely used by the scientific community for regular mapping and monitoring of cultural heritage sites. The development of synthetic aperture radar (SAR) sensors helps in monitoring the heritage site with higher accuracy. This study uses the Persistent Scatter Interferometric SAR (PSInSAR), which
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Spatial–Spectral Image Classification with Edge Preserving Method J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-18 Suresh Merugu, Anuj Tiwari, Surendra Kumar Sharma
Classification of remotely sensed imagery with the integration of spatial context should be a constructive way of improved accuracy in image classification. An efficient spatial–spectral classification approach with colorimetric edge preservation of spatial–spectral modeling is processed. This research paper consists of three phases first, and the multispectral imagery [Captured by unmanned aerial
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UAV in Construction Site Monitoring and Concrete Strength Estimation J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-18 Kumar Kumarapu, M. Shashi, Venkata Reddy Keesara
Infrastructure is one of the main pillars and parameter for India’s overall development. Monitoring and evaluation of the construction activities and concrete elements at early ages is necessary to increase structural stability and durability. There is a need for sophisticated technologies for real-time monitoring of construction activities for visually updating the progress in construction, which
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OGC CityGML 3D City Models Enriched with Utility Infrastructures for Developing Countries J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-18 E. Vishnu, Saran Sameer
Momentous studies have substantiated semantically enriched 3D city models with numerous urban related applications. Utility networks plays a vital role, hence detailed 3D data modeling of utility networks along with 3D urban space can perform various simulations and analysis on urban planning, utility and asset management. Detailed representation of utility networks is not yet studied till now, as
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Unmanned Aerial Vehicle’s Vulnerability to GPS Spoofing a Review J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-16 Eshta Ranyal, Kamal Jain
The Unmanned Aerial Vehicle often known as UAV plays a central role in providing multifarious services which can be encapsulated under following major categories namely military, research and civil. Various studies have revealed that unlike the military UAV the civil UAV uses unauthenticated, unencrypted and predictable signals and thus can be easily manipulated. With the burgeoning dependency on UAVs
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Assessment of Rainfall–Runoff Due to the Impacts of Land-Use Changes by Integrated Geospatial Empirical Approach: Study on Koraiyar Basin, Tiruchirappalli City, India J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-16 Surendar Natarajan, Nisha Radhakrishnan
The changes that occur in various forms of land classes are known as land-use and land-cover changes (LULC). Such changes have a substantial impact on the contours of an urban basin and consequently have an effect on the surface runoff of the rainfall that occurs in the area. The runoff features obviously deteriorate because of the decrease in initial abstraction, and an increase in imperviousness
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Lidar-aided Autonomous Landing and Vision-based Taxiing for Fixed-Wing UAV J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-16 K. Senthil Kumar, M. Venkatesan, S. Karuppaswamy
Autonomous UAV technology is limited in its ability to land safely at distinct airfields that have not been precisely surveyed and where GPS is unavailable. In this paper, we present a multi-sensor system for the automatic landing of fixed-wing UAV. The system is composed of a high precision aircraft controller, a range finder (Lidar) and a vision module used for detection and tracking of runways.
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Vegetation Characterization at Community Level Using Sentinel-2 Satellite Data and Random Forest Classifier in Western Himalayan Foothills, Uttarakhand J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-16 Arun Pratap Mishra, Ishwari Datt Rai, Divesh Pangtey, Hitendra Padalia
Characterization of forests is an important aspect for the management and conservation of biodiversity and satellite remote sensing provides opportunity to rapidly assess biodiversity patterns across large geographical areas. The present study aimed to characterize vegetation in a landscape with heterogenous topography using medium resolution Sentinel-2 satellite data and random forest (RF) machine
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Spatiotemporal Change of Urban Water Bodies in Bangladesh: A Case Study of Chittagong Metropolitan City Using Remote Sensing (RS) and GIS Analytic Techniques, 1989–2015 J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-16 Morshed Hossan Molla, Mohammad Abu Taiyeb Chowdhury, A. Z. Md. Zahedul Islam
This is an empirical study that attempts to explore the spatiotemporal changes of Urban Water Bodies (UWBs) in the Chittagong Metropolitan City from 1989 to 2015, using Remote Sensing and Geographic Information Systems analytic techniques. More precisely, Ground Truthing, along with Landsat™ data and/OLI satellite images was collected for the years 1989, 2001, 2010 and 2015, respectively; Checklist
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Assessment of Vegetation Cover of Bengaluru City, India, Using Geospatial Techniques J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-13 K. Ganesha Raj, Shivam Trivedi, K. S. Ramesh, R. Sudha, S. Rama Subramoniam, H. M. Ravishankar, A. Vidya
Bengaluru has a unique place due to its pleasant weather and green cover. Off late, the city has witnessed phenomenal urban growth, especially during last few decades. This study was envisaged to assess the decadal changes in vegetation cover of Bengaluru using multispectral IRS satellite imagery of 2006 and 2019 within Bruhat Bengaluru Mahanagara Palike (BBMP) area. Satellite datasets were analysed
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Polarimetric Calibration of L-Band UAVSAR Data J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-13 Arun Babu, Shashi Kumar, Shefali Agrawal
The polarimetric distortion in the PolSAR datasets causes the polarimetric decomposition and classification techniques to produce wrong outputs, which result in misinterpreting the scattering phenomenon and the ground targets. The most important polarimetric distortions in airborne PolSAR datasets are the channel imbalance and crosstalk. The minimization of these polarimetric distortions using polarimetric
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Design Criteria of a UAV for ISTAR and Remote Sensing Applications J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-13 Narayan Panigrahi, Smita Tripathy
Unmanned aerial vehicle (UAV) is a multi-role avionic system used for many applications. Photogrammetry is the art and science of locating and measuring the geometric property of spatial objects from photographs captured remotely using sensors from air and space. This paper discusses the design of a new integrated system combining the capability of three different technologies, viz. UAV, photogrammetry
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Cadastral Parcel Boundary Extraction from UAV Images J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-12 Ganesh Khadanga, Kamal Jain
Information extraction from unmanned aerial vehicle (UAV) images has progressed to a great extent. The focus for geospatial data sensing, representation, processing, visualization and information delineation has gradually shifted to UAV, because of its fast delivery with very high spatial resolution data. The users from various fields have started using the UAV data for potential field uses. The land
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Forest Degradation Assessment Using UAV Optical Photogrammetry and SAR Data J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-12 Arunima Singh, Sunni Kanta Prasad Kushwaha
The sequestration of carbon in the forest is very high after soil and ocean; this is one of the major factors which makes monitoring of forests very much essential. The traditional inventory techniques were very much exhaustive and needed encroachment into the inaccessible forest area, which create lot of difficulties to foresters and other researchers, that is why, most of the areas of intense forests
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Calibration of Satellite Imagery with Multispectral UAV Imagery J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-12 Kamal Jain, Akshay Pandey
Unmanned aerial vehicle (UAV)-based multispectral remote sensing has shown a tremendous potential normalized difference vegetation index (NDVI) for precision agriculture. In this study, data captured from a UAV equipped with a Multispectral Mica Sense Red Edge camera used as ground-truth information to calibrate Sentinel-2 imagery. UAV-based NDVI allowed crop estimation at 10-cm pixel resolution by
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Identification of Suitable Aquaculture Sites Using Large-Scale Land Use and Land Cover Maps Factoring the Prevailing Regulatory Frameworks: A Case Study from India J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-11 Arur Anand, P. Krishnan, Arun S. Suryavanshi, S. B. Choudhury, G. Kantharajan, Ch. Srinivasa Rao, C. Manjulatha, D. E. Babu
Identification of a suitable site is a crucial step for the sustainability of an aquaculture venture. This study shows a framework for identifying areas suitable for freshwater and brackishwater aquaculture in India while integrating the governing regulations. Land use and land cover (LULC) maps at 1:10,000 scale derived from high-resolution imagery were used as base maps, along with allied layers
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Monitoring and Prediction of Dust and Investigating its Environmental Impacts in the Western Half of Iran and the Eastern Borders of Turkey and Iraq, Using Remote Sensing and GIS J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-10 Leila Mahmoudi, Sahar Amiri Doumari, Vahid Safarianzengir, Rahman Maleki, Saeed Kianinejad, Mohammadkia Kianian
In recent years, the damage caused by dust in different parts has increased dramatically. There are many dusty areas around the world. One of these regions in the southwest of Asia is Iran. The purpose of this study is to model and predict the hazardous dust phenomenon in dusty regions of Iran. For this purpose, dust data from 28 stations of intense dusty areas in Iran were collected at 29-year time
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How Photogrammetric Software Works: A Perspective Based on UAV’s Exterior Orientation Parameters J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-10 Kamal Jain
Earlier conventional photogrammetric techniques were used in the topographic mapping using a large format digital camera known as aerial photogrammetry. Recent advancements in UAV technology for photogrammetric purposes have provided a necessity of state-of-the-art photogrammetric software for processing images acquired using UAV. These so-called drones come with an inbuilt GPS and IMU system to geotag
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Regional Ecological Risk Assessment with Respect to Human Disturbance in the Poyang Lake Region (PYLR) Using Production–Living–Ecology Analysis J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-10 Hui Wang
In the regional ecological risk assessment (RERA) research with respect to human disturbance, risk source–receptor identification and corresponding indicators selection are of great importance. In this study, three regional function indexes, i.e., production function index, living function index, and ecology function index, were produced and incorporated into the human-caused RERA research. Among them
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Population Coding of Generative Neuronal Cells for Collaborative Decision Making in UAV-Based SLAM Operations J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-07 Ankush Rai, R. Jagadeesh Kannan
This study presents a modeling method for control system of multi-coupled nonlinear cyber physical system with the help of second-order dynamics of communicating membrane system of neuronal population based on a population coding algorithm. Here, the communicating membrane system is modeled based on the theory of fractional differential equations. Here, the challenge relies on the development of a
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Deep Learning Based Supervised Image Classification Using UAV Images for Forest Areas Classification J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-07 Mohd Anul Haq, Gazi Rahaman, Prashant Baral, Abhijit Ghosh
Applications of unmanned aerial vehicles (UAVs) based remote sensing is increasing rapidly due to their advanced accessibility, capability for fast and easy deployment, capability for miniaturization of sensors and efficient collection of remotely-sensed data from relatively low altitudes. Recently, UAV data sets have been found to be quite useful for forest feature identification due to their relatively
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Auto Neural Architecture Generator for UAV-Based Geospatial Surveillance for Aerial Crisis Mapping in Dark J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-07 Ankush Rai, R. Jagadeesh Kannan
Natural disasters such as flood, tsunami, earthquake and cyclones usually influence the microspaces and in urban areas, thereby causing the problem to rescuers to make way to the victims. Rescue operations in these situations are also hampered due to darkness caused by power cut and unavailability of other light sources to rescue people in peril or to even carry out evacuation operations. Therefore
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A UAV Traffic Management System for India: Requirement and Preliminary Analysis J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-07 Anshul Yadav, Salil Goel, Bharat Lohani, Shubhanshi Singh
The unmanned air vehicle (UAV) industry is prophesized to play a profoundly vital role in global technological advancement. The emerging global market for drone-powered solutions is valued at 127 billion dollars, and a projected increase in the number of UAVs between 2017 and 2022 is from 1.1 to 2.4 million. This increased UAV usage will cause an ecstatic burden on the airspace resulting in collisions
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Analysis of Survey Approach Using UAV Images and Lidar for a Chimney Study J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-06 Harshit, Kamal Jain, Vaishnavi Mishra
UAVs for aerial photography have been promoted as the new way to map large areas efficiently. The cost of the technology is comparable to that of GNSS survey, and the results are comparable with much greater resolution. This is a major leap forward. The objective of this paper is to analyze the survey methodologies using a Lidar- and UAV-based photogrammetry and compare an overall approach over a chimney
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Road Extraction from High-Resolution Orthophoto Images Using Convolutional Neural Network J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-06 Abolfazl Abdollahi, Biswajeet Pradhan, Nagesh Shukla
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Automatic Extraction of Buildings from UAV-Based Imagery Using Artificial Neural Networks J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-06 Prakash Pilinja Subrahmanya, Bharath Haridas Aithal, Satarupa Mitra
The rapid growth of major cities across the counties demands accurate building extraction techniques. Unmanned Aerial Vehicles (UAV) help in obtaining terrain information that can be used to extract urban features. Recent advancement has led to the capture of aerial images of the earth surface in micro-detail using UAV. These aerial images enable us to perform classification, feature extraction, and
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Automated Tax Mapping from UAV Multispectral Imagery J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-05 Srinivasa Raju Kolanuvada, Goutaam Thiyagarajan
Tax mapping is an essential element for efficient management of real estate property and tax management, paving the way for effective implementation of g-governance practices in India. Conventional mapping of individual buildings and their attributes involves large effort and is time-consuming. The use of high-resolution UAV imagery facilitates the process of automatic extraction of land parcel, roof
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Investigation on the Effects of Polarization Orientation Angle Shift in the UAVSAR Polarimetric Decomposition J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-05 Arun Babu, Shashi Kumar, Himanshu Govil
The polarization orientation angle (POA) shift results in higher cross-polarization intensity in the HV and VH channels making the reflection asymmetrical. The L-band quad-pol dataset acquired over the Fujiyama mountain, Japan by the Uninhabited Aerial Vehicle Synthetic Aperture Radar of JPL/NASA was used in this study to analyse the effect of POA shift in the polarimetric decomposition techniques
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An Adaptive Technique to Detect and Remove Shadow from Drone Data J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-05 Ankush Agarwal, Sandeep Kumar, Dharmendra Singh
Unmanned aerial vehicles (UAVs)/drones are used to capture and monitor real-time data for various applications. Different sensors may be mounted on the UAV like 4K RGB camera, RedEdge-M and many others. 4K camera is used to capture an image in RGB bands, and RedEdge-M captures an image in five bands namely Blue, Green, Red, RedEdge and Near Infrared having a center wavelength of 475, 560, 668, 717
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An Integrated Object and Machine Learning Approach for Tree Canopy Extraction from UAV Datasets J. Indian Soc. Remote Sens. (IF 0.997) Pub Date : 2020-11-04 Abhishek Adhikari, Minakshi Kumar, Shefali Agrawal, Raghavendra S
Unmanned aerial vehicles (UAV) have emerged as new platforms for acquiring ultra-high resolution images, which are challenging for extraction of features using conventional image processing approaches. Tree canopies are required to be constantly monitored for better planning and management. UAV is currently one way to survey canopies over a large area for precisely estimating their geometry. Conventional