Dr Priyakant Sinha
Lecturer in Spatial Science - Applied Agricultural Remote Sensing Centre; School of Environmental and Rural Science
Biography
Qualifications
PhD in Remote Sensing and GIS application in Vegetation Change Detection - University of New England, Australia (2013)
MS in Environmental Science and Management - University of New England (2018)
M. Tech in Remote Sensing - Birla Institute of Technology, India (1999)
Awards
- UNE International Faculty Award for PhD Research (2009-2012), Australia
- UNE PhD Research Completion Scholarship (2012), Australia
- People choice award for Best Poster in SERS, UNE, Three minute thesis competition (2011), Australia
- First Class (top ranked student) in Master of Technology with Distinction (1999), India
- First Class (top ranked student, all disciplines) in B.Sc. Honours with Distinction, (1995), India
- Best Graduate Award at Vinoba Bhave University, (1995), India
- National Scholarship in H.Sc (Distinction in Physics and Chemistry), (1990), India
Teaching Areas
Lectures and Labs
PA335/435 - Precision Agriculture - T1 (Current)
Hort420 – Remote Sensing applications in Horticulture – T3 (Current)
Extension School - Lab Sessions (past)
EM334/534 - Introduction to GIS
NR331/531 - Remote Sensing and Surveying
EM336-536 - Remote Sensing Image Analysis
Primary Research Area/s
Advanced Agriculture Remote Sensing; GIS; Precision AgricultureResearch Interests
High level multidisciplinary and collaborative research in optical remote sensing and GIS in crop assessment, time-series crop monitoring and yield predictions, crop spatio-temporal nutrient and water management, pasture biomass, vegetation species mapping and change detection, agriculture environmental monitoring and assessment, land use change and prediction modelling, landscape characterization, UAV/Photogrammetry and LiDAR based 3D image analysis, Hyperspectral and GIS modelling.
Research Supervision Experience
Co-supervision
1. Manoj Kumer Ghosh – PhD. (2015-2018). Remote sensing based change detection study of Mangrove forest in Bangladesh
2. Xavier Daphna– PhD (2014-2018). Remote Sensing and GIS based natural hazard assessment in Philippines
Publications
Scholarly Book Chapter
- Sinha, P., Robson, A., Schneider, D., Kilic, T., Mugera, H., Ilukor, J., Tindamanyire, J. The potential of in-situ hyperspectral remote sensing for differentiating 12 banana genotypes grown in Uganda ISPRS Journal of Photogrammetry and Remote Sensing. 2020, 167, 85-103.
- Kumar, L., Sinha, P., Brown, J.F., Ramsey, R.D., Rigge, M., Stam, C.A., Hernandez, A.J., Hunt, E.R., and Reeves, M. (2015). Chapter 13: Characterization, Mapping, and Monitoring of Rangelands: Methods and Approaches. Remote Sensing Handbook Series: Land Resources Monitoring, Modelling, and Mapping with Remote Sensing, Edited by Prasad S. Thenkabail, CRC Press. USA. ISBN 9781482217957 - CAT# K22130
Refereed Journal Article - Dorji, S., Ratnam, R., Vernes, K., Stephen, W, Falconi, L., and Sinha, P. (2018). Identifying gaps and conservation priorities for eastern Himalayan threatened mammals. Conservation Biology, 32 (5), 1162-1173.
- Sinha, P., Lamb, D., and Robson, A. (2018). An assessment of the potential of remote sensing based irrigation scheduling for sugarcane in Australia. ELibrary-Sugarcane Research Australia. (https://elibrary.sugarresearch.com.au/handle/11079/17435)
- Albed, A., Kumar, L and Sinha, P. (2017). Soil salinity and vegetation cover change detection from multi-temporal remotely sensed imagery in Al Hassa Oasis in Saudi Arabia. Geocarto International. http://dx.doi.org/10.1080/10106049.2017.1303090.
- Sinha, P., Kumar, L., and Reid, N., (2016). Rank-based method for selection of landscape metrics for land cover pattern change detection. Remote Sensing, 8, 107; doi:10.3390/rs8020107.
- Alquarshi, A, Kumar, L., Sinha, P., (2016). Urban land cover change modelling using time-series satellite images: A case study of urban growth in five cities of Saudi Arabia. Remote Sensing, 8(10), 838; doi:10.3390/rs8100838.
- Sinha, P., Verma, N.K., Ayele, E. (2016). Urban Built-up Area Extraction and Change Detection of Adama Municipal Area using Time-Series Landsat Images. International Journal of Advanced Remote Sensing and GIS, 5(8), 1886-1895.
- Kumar, L., Sinha, P., Taylor, S., and Alquarshi, A. (2015). Use of Remote Sensing for biomass estimation to support renewable energy generation. Journal of Applied Remote Sensing. 9 (1); 097696, doi:10.1117/1.JRS.9.097696.
- Sinha, P., Kumar, L., Drielsma, M., and Barrett, T. (2014).Time-series effective habitat area (EHA) modelling using cost-benefit raster based technique. Ecological Informatics, Vol 19, No.1, page 16-25.
- Kumar, L., and Sinha, P. (2014). Mapping salt-marsh land-cover vegetation using high-spatial and hyperspectral satellite data to assist wetland inventory. GIScience and Remote Sensing, 51(5), 483-497.
- Kumar, L., Sinha, P., and Taylor, S. (2014). Improving image classification in a complex wetland ecosystem through image fusion techniques. Journal of Applied Remote Sensing. 8 (1), 083616-1 (June 11, 2014); doi: 10.1117/1.JRS.8.083616.
- Albed, A, Kumar, L., and Sinha, P., (2014). Mapping and Modelling Spatial Variation in Soil Salinity in the Al Hassa Oasis Based on Remote Sensing Indicators and Regression Techniques. Remote Sensing, 6, 1137-1157. doi:10.3390/rs6021137.
- Sinha, P., Kumar, L., (2013). Markov land cover change modelling using multiple pairs of time-series satellite images. Photogrammetric Engineering & Remote Sensing, 79(11), 1037-1051.
- Sinha, P., Kumar, L., (2013). Independent Two-step Thresholding of Binary Images in Inter-Annual Land Cover Change/No-Change Identification. ISPRS Journal of Photogrammetry and Remote Sensing, 81(7), 31-43.
- Sinha, P., Kumar, L., (2013). Binary images in seasonal land-cover change identification: a comparative study in parts of NSW, Australia. International Journal of Remote Sensing, 34(6), 2162-2186.
- Sinha, P., Kumar, L., and Reid, N., (2012) Seasonal variation in landcover classification accuracy in diverse region, Photogrammetric Engineering & Remote Sensing, 78(3), 781-780.
- Sinha, P., Kumar, L., and Reid, N., (2012). Three-date Landsat TM composite in seasonal land-cover change identification in a mid-latitudinal region of diverse climate and land-use. Journal of Applied Remote Sensing. 6 (1), 063595 (October 30, 2012); doi: 10.1117/1.JRS.6.063595.
- Sinha, P., Kumar, L. (2012) A new technique for seasonal land-cover change analysis using directional brightness differencing. GSTF Journal of Engineering Technology, 1(1): 61-66. DOI:10.5176/2251-3701_1.1.11.
- Sinha, P (Priyakant), Verma, N.K., Rao., L.I.M., and Mathur, A. (2009). Surface Approximation of Point Data using different Interpolation Techniques- A GIS based approach. Geospatial World. (published online: September 1, 2009, http://www.geospatialworld.net/article/surface-approximation-of-point-data-using-different-interpolation-techniques-a-gis-approach/
- Mathur, A., Sinha, P. (2005). GIS Based delineation of suitable Ground Water Quality zones for drinking purpose: A case study of District Mainpuri, Uttar Pradesh, Pollution Research, Enviromedia. 24 (1): 59-68. 21.
- Sinha, P., Kanade G.S., Deshpande, A. and Kondawar, V.K. (2001). Geographical Information System for complete environmental study in context of mining: a case study. Journal of Indian Association of Environment Management. 28(2): 109-112.
Clinical Skills and Experience
Advanced Digital image processing (pixel, object based), GIS analysis and modelling, UAV/ LiDAR and Hyperspectral data processing. Software: ENVI, Erdas Imagine, ArcGIS, QGIS, eCognition, Pix4D, PhotoScan, GDAL Python scripts usage.
Memberships
Life membership of Indian Society of Remote Sensing (since 1999)
Consultancy Interests
Remote Sensing/Photogrammetry and GIS applications in Agriculture landscape management, Environmental Monitoring research, Climate Change Impact on Agriculture Productivity, Prediction Modelling, land use change.