Research

Our Research

Our research has focused on the development of applications for new optical sensor technologies in field soil survey, land use management, hyperspectral remote sensing and environmental quality assessment. Moreover, our research has sought to independently evaluate and then synthesize for mutualistic benefit, two proximal soil sensing technologies, namely portable x-ray fluorescence (PXRF) spectrometry and visible near infrared diffuse reflectance spectrometry (VisNIR DRS). The advantages of these techniques over traditional sampling and laboratory analysis are truly revolutionary and allow for on-site quantification of both inorganic (heavy metals) and organic (hydrocarbon) pollutants along with a wide assortment of soil properties. Coupled with georeferencing, it is now possible to quite literally model contaminant plumes, develop remediation strategies, and assess remediation effectiveness, in a single day, on-site.

Current Projects

1. S. Chakraborty (PI). 2017-20. Rapid Assessment of Soil Arsenic and Lead Pollution Risks Via PXRF Based Spectral Modeling. ISIRD, SRIC.

2. S. Chakraborty (PI). 2017-20. Rapid Assessment of Soil Arsenic, Cadmium and Lead Pollution in Peri-urban Agricultural Fields via Portable X-Ray Fluorescence Spectrometry and Machine Learning. Department of Science and Technology(DST).

3. S. Chakraborty (Co-PI). 2016-19. Assessment of Suspended Sediments Concentration and Phytoplankton Contents in the Chilika Lagoon using Hyperspectral Remote Sensing. Ministry of Science and Technology, Department of Science and Technology (BIG Data Initiatives Division), Govt. of India.

4. S. Chakraborty (Co-PI). 2016-18. Estimation of Soil Properties and Crop Residue Cover Using AVIRIS Data. SPACE APPLICATIONS CENTRE, AHMEDABAD.

5. S. Chakraborty (Co-PI). 2017. Development of Spectral Algorithms for Selected Soil Properties to Improve Soil Management in Small Holding Cocoa Plantations of Papua New Guinea The University of Sydney.