Priyakant Sinha

Phone+61 2 6773 3849
Emailpsinha2une.eduau

Research activity per year

Biographical Details

Dr Priyakant Sinha is a researcher and academic in the field of remote sensing and geospatial science and has more than 20 years of research and project experience in a range of geographic locations (Australia, Ethiopia and India) on diverse themes related to agriculture crops and plantation, pasture, land use and natural landscape. He is highly skilled in remote sensing data analysis for different optical sensors, LiDAR and UAV data analysis, spatial modelling, and has developed new methods for time-series change analysis. His research include advanced methodologies such as machine learning, Google Earth Engine (GEE), GDAL library usage, WeApp development for remote sensing data analysis and geospatial data processing.

Dr Sinha joined UNE's Precision Agricultural Research Group in 2016 and has since moved to work at the Applied Agricultural Remote Sensing Centre (AARSC) within UNE. He has worked across a range of research projects including: hyperspectral radiometer (ASD) and very high resolution WV3 data to identify and map banana species in Uganda (World Bank funded project); Sugarcane crop vigour and yield mapping at regional and block Level from SPOT/WV3 data for growers in QLD and NSW; High Resolution WV3 data for Mango yield forecasting for Australia Mango Growers; Canola Harvest timing prediction from UAV/Satellite time series data; Habitat suitability modelling for seabirds; habitat connectivity modelling and effective habitat area (EHA) change monitoring from time series remote sensing data; conservattion priorties in thretened eastern Himalayan mammals; and UAV/Drone based next generation high resolution 3D imaging techniques for improved farm management. In past (2012-13), he also worked with NSW Dept. of Environement and Heritage (OEH) and developed GIS raster based multi-criteria analysis shell modelling (MCAS-Model) for spatial Natural Resource Management (NRM) priorities strategies for Catchment Management Authorities (CMAs) (e.g., Murrumbidgee CMA and Upper and Lower Murray CMAs).

Dr Sinha has more than 10 years of experience in teaching remote sensing and geospatial courses to university students in Australia and Ethiopia and in developing new courses at post-graduation level. In India (2000-03), Dr Sinha was principal GIS and Remote Sensing analyst in the World Bank funded project on Sodic Land Reclamation for improving wheat crop production. He has published several research articles in reputed journals of his field.

Teaching

GISC334 Introduction to GIS and Spatial Thinking (T2, T3)

GISC433 Spatial Analysis and Modelling (T2)

PA335/435 - Precision Agriculture (T1)

Hort 420 - Remote Sensing Applications in Horticulture (T3)

Education/Academic qualification

Masters, Technology in Remote Sensing, Birla Institute of Technology, Mesra

Doctorate

Masters

Research Interests

Advanced Agriculture Remote Sensing
GIS analysis and modelling
Precision Agriculture
UAV/Phtogrammetry nd LiDAR based 3D image analysis
Hyperspectral and GIS modelling
Climate Chage Impact on Agricultural Productivity
Remote Sensing Digital Image processing
Environmental Monitoring
Prediction Modelling
Advanced Digital Imaging processing

Approved to Supervise

Approved PhD/HDR supervisor

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 15 Life on Land
SDG 16 Peace, Justice and Strong Institutions

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1 Similar Profiles

16 Article
2 Report
1 Chapter
1 Abstract

Exploring the Relationship Between Very-High-Resolution Satellite Imagery Data and Fruit Count for Predicting Mango Yield at Multiple Scales
Torgbor, B. A., Sinha, P., Rahman, M. M., Robson, A., Brinkhoff, J. & Suarez, L. A., 8 Nov 2024, In: Remote Sensing. 16, 22, p. 1-23 4170.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Citations (Scopus)
Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach
Torgbor, B. A., Rahman, M. M., Brinkhoff, J., Sinha, P. & Robson, A., 2 Jun 2023, In: Remote Sensing. 15, 12, p. 1-26 3075.
Research output: Contribution to journal › Article › peer-review

Open Access
36 Citations (Scopus)
Airborne LiDAR and high resolution multispectral data integration in Eucalyptus tree species mapping in an Australian farmscape
Verma, N. K., Lamb, D. W. & Sinha, P., 2022, In: Geocarto International. 37, 1, p. 70-90
Research output: Contribution to journal › Article › peer-review
9 Citations (Scopus)
Improving canola harvest management decisions with remote sensing
Dunn, M., Hart, J. & Sinha, P., 31 Dec 2022, Australia: Department of Primary Industries. 3 p.
Research output: Book/Report › Report › Other

Open Access
Estimation of Fruit Load in Australian Mango Orchards Using Machine Vision
Anderson, N. T., Walsh, K. B., Koirala, A., Wang, Z., Amaral, M. H., Dickinson, G. R., Sinha, P. & Robson, A. J., 27 Aug 2021, In: Agronomy. 11, 9, p. 1-20 1711.
Research output: Contribution to journal › Article › peer-review

Open Access
34 Citations (Scopus)

5 Finished

Accelerating the Development of Tools using Satellite Imagery and Environmental Data for optimum canola windrow timing (through NSW DPI)
Sinha, P. (UNE Lead Investigator), Naughton, C. (Co-Investigator), Pearlman, G. (Co-Investigator), Robson, A. (Co-Investigator) & Dunn, M. (Partner Investigator)
14/10/22 → 1/03/24
Project: Grant
Research and national capacity building regarding use of satellite-based methods for agricultural monitoring in Uganda
Robson, A. (UNE Lead Investigator), Dammalage, T. (Co-Investigator), Sinha, P. (Co-Investigator) & Suarez Cadavid, A. (Co-Investigator)
1/04/22 → 31/10/22
Project: Grant
Improving canola harvest management decisions with remote sensing (via DPIE)
Sinha, P. (UNE Lead Investigator), Dunn, M. (Co-Investigator), Pearlman, G. (Co-Investigator) & Robson, A. (Co-Investigator)
15/11/21 → 28/02/22
Project: Grant
World Bank Project: Mapping banana abundance and varietal composition in Uganda
Robson, A. (UNE Lead Investigator), Schneider, D. (Co-Investigator), Sinha, P. (Co-Investigator), Burnett, J. (Partner Investigator), Crossley, R. (Partner Investigator), Gray, R. (Partner Investigator), Ilukor, J. (Partner Investigator), Kernot, I. (Partner Investigator), Kerry, K. (Partner Investigator), Kilic, T. (Partner Investigator), Mungera, H. (Partner Investigator), Phinn, S. (Partner Investigator), Simpson, C. (Partner Investigator), Sukkarieh, S. (Partner Investigator), Tyas, J. (Partner Investigator) & Witte, C. (Partner Investigator)
24/07/17 → 31/01/19
Project: Grant
Quantifying and understanding root variation in winter cereals
Guppy, C. (UNE Lead Investigator), Carruthers, J. (Co-Investigator), Chochois, V. (Co-Investigator), Haling, R. (Co-Investigator), Sinha, P. (Co-Investigator), Tighe, M. (Co-Investigator), Watt, M. (Co-Investigator) & Young, I. (Co-Investigator)
1/07/13 → 30/09/18
Project: Grant