Professor Janet Nichol

I was born and brought up in Huddersfield, Yorkshire, England and attended Huddersfield High School where I studied all sports not much on the academic side. One other great institution I am proud of attending is the Woodstock Festival in the Catskill mountains of  Upper New York State in 1969. My academic career started the same year at Queen Mary College of London University where I did a BSc in Geography, MA at the Institute of Arctic and Alpine Research, University of Colorado, and PhD at the Remote Sensing Unit, Aston University in Birmingham, UK.

I am an Applied Geographer, specialising in Remote Sensing, Geo-Informatics and Environmental Management. My  main research interests are in the application of remote sensing to urban micro-climate monitoring, the use of satellite data for air pollution control, ecological change mapping,  and Quaternary environmental change. I currently teach undergraduate and postgraduate courses in Remote Sensing and climate change, and have previously lectured in the UK, northern Nigeria, Singapore and the Republic of Ireland. 

2014

Mijin K, Jhoon K, Wong, M.S. Yoon, J.,  Lee, J., Wu, D., Chan, P.W., Nichol, J.E., Chung, C-Y., Ou, M-L. (2013). Improvement of aerosol optical depth retrieval over Hong Kong from a geostationary meteorological satellite using critical reflectance with background optical depth correction. Remote Sensing of Environment 142, 176-187.

2013

Shahzad I., Nichol, J.E., Wang, J., Campbell, J., Chan, P.W. (2013). Estimating surface visibility in Hong Kong using ground-based lidar, sunphotometer and operational MODIS products.  Journal of Air and Waste Management Association, 63(9):1098-1110. (Impact Factor 1.6)

Nichol, J.E., Nichol, D.W. (2013). Pleistocene loess in the humid sub-tropical forest zone of East Asia. Geophysical Research Letters, 40(120):19778-1983.

Nichol, J.E., To, P.H., Ng, E. (2013). Temperature projection in a tropical city using remote sensing and dynamic modeling, Climate Dynamics 40(4): DOI 10.1007/s00382-013-1748-2. (A Grade, Impact factor 4.6)

Bilal, M., Nichol, J.E., Bleweiss, M.P., Dubois, D. A (2013). A simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use mixed surfaces. Remote Sensing of Environment 136: 135-145.

Nichol, J.E., King B.A., Ding, X.L. (2013). Remote sensing for sustainable urbanization: editorial, International Journal of Remote Sensing, 34(3), 755-758. (B Grade, Impact Factor 1.3)

Wong, M.S., J.E. Nichol, K.H Lee, (2013). Estimation of aerosol sources and aerosol transport pathways using AERONET clustering and backward trajectories: a case study of Hong Kong. International Journal of Remote Sensing, 34(3), 938-955. (B Grade, Impact Factor 1.3)

Wong, M.S., J.E. Nichol (2012). Spatial variability of frontal area index and its relationship with urban heat island intensity, International Journal of Remote Sensing, 34(3), 885-896. (B Grade, Impact Factor 1.3)

Wong, M.S., M.I. Shahzad, J. E. Nichol. K. H. Lee and P.W. Chan (2012). Validation of MODIS, MISR, OMI, and CALIPSO aerosol optical thickness using ground-based sunphotometers in Hong Kong. International Journal of Remote Sensing, 34(3), 897-918. (B Grade, Impact Factor 1.3)

Sarker, Md. L.R., J. Nichol, H.B. İz, and A.A. R Rahman (2013). Forest Biomass Estimation Using Texture Measurements of High-Resolution Dual-Polarization C-Band SAR Data, IEEE Transactions on Geoscience and Remote Sensing, 51(6)3371-3384. (A Grade, Impact factor 3.0, 3 of 24)

Wong, M.S., Sarker, M.L.R., Nichol, J.E., Chen, H., Chan, P.W. (2013). Modeling BVOC isoprene emissions based on a GIS and remote sensing database. International Journal of Earth Observation and Geo-Information 21, 66-77. (A Grade, Impact factor 2.3) (corresponding author)

2012

Nichol, J.E., To, P.H. (2012). Temporal characteristics of thermal satellite images for urban heat stress and heat island mapping. ISPRS Journal of Photogrammetry and Remote Sensing 74, 152-162. (A grade, Impact factor 2.9, Rank 2 of 24)

Sarker, L.R.H., Nichol, J.E, B. Ahmed, I. Busu, A. A. Rahman (2012). Potential of texture measurements of two-date dual-polarisation PALSAR data for the improvement of forest biomass information. ISPRS Journal of Photogrammetry and Remote Sensing 69, 146-166. (A grade, Impact factor 2.9, Rank 2 of 24).

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