Janet Nichol
Honorary Professor

Selected publications

Article

Nichol, Janet E, Choi, Sin Yau, Wong, Man Sing and Abbas, Sawaid (2020) Temperature change and urbanisation in a multi-nucleated megacity: China’s Pearl River Delta. Urban Climate, 31. a100592. ISSN 2212-0955

Abbas, Sawaid, Nichol, Janet E, Zhang, Jinlong and Fischer, Gunter A (2019) The accumulation of species and recovery of species composition along a 70 year successional gradient in a tropical secondary forest. Ecological Indicators, 106 (105524). pp. 1-10. ISSN 1470-160X

Abbas, Sawaid, Nichol, Janet E, Fischer, Gunter A, Wong, Man Sing and Irteza, Syed M (2019) Impact assessment of a super-typhoon on Hong Kong’s secondary vegetation and recommendations for restoration of resilience in the forest succession. Agricultural and Forest Meteorology, 280. a107784. ISSN 0168-1923

Bilal, Muhammad, Nichol, Janet E, Nazeer, Majid, Shi, Yuan, Wang, Lunche, Kumar, K Raghavendra, Ho, Hung Chak, Mazhar, Usman, Bleiweiss, Max P, Qiu, Zhongfeng, Khedher, Khaled Mohamed and Lolli, Simone (2019) Characteristics of Fine Particulate Matter (PM2.5) over urban, suburban and rural areas of Hong Kong. Atmosphere, 10 (9). a496. ISSN 2073-4433

Bilal, Muhammad, Nazeer, Majid, Nichol, Janet, Bleiweiss, Max P, Qiu, Zhongfeng, Jäkel, Evelyn, Campbell, James R, Atique, Luqman and Lolli, Simone (2019) A new simplified and robust Surface Reflectance Estimation Method (SREM) for use over diverse land surfaces using multi-sensor data. Remote Sensing, 11 (11). pp. 1-24. ISSN 2072-4292

Hafeez, Sidrah, Wong, Man Sing, Ho, Hung Chak, Nazeer, Majid, Nichol, Janet, Abbas, Sawaid, Tang, Danling, Lee, Kwon Ho and Pun, Lilian (2019) Comparison of machine learning algorithms for retrieval of water quality indicators in case-II waters: a case study of Hong Kong. Remote Sensing, 11 (684). pp. 1-26. ISSN 2072-4292

Usman, Muhammad and Nichol, Janet (2019) Trends in farmland tree stocks in the agroforestry landscape of northern Nigeria: reconciling scientific and stakeholder perceptions. Journal of Rural Studies, 66. pp. 87-94. ISSN 0743-0167