Jianqiao Liu

Education:

Master of Geography, University at Buffalo, 2019

BS, GIS, Beijing Forestry University, 2014

Research Interests:

Remote Sensing, Agroforestry classification, Water quality monitoring

Bio:

Jianqiao Liu is a PhD candidate working on urban and forestry change detection in Bali Island, Indonesia and water quality monitoring and assessment of the Great Lakes. He works with high spatial resolution images from Planet Labs (3m) and Sentinel (10m) using machine learning (svm, neural network).

GitHub link-Cocktail: https://github.com/realtechsupport/cocktail

Recent Courses Taught: 

GEO 483/553 Remote Sensing Lab

GEO 105 Intro to Geography Lab

Publications:

Liu, Jianqiao., Iryadi, Rajif., Böhlen, Marc. (2023). Agroforestry in the alas mertajati of Bali, Indonesia. A case study in sustainable small-scale farming practices and GEOAI. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W7-2023, 101-108. https://doi.org/10.5194/isprs-archives-xlviii-4-w7-2023-101-2023

Böhlen, Marc., Liu, Jianqiao., Iryadi, Rajif. (2022). Who speaks for the forest? local knowledge, participatory mapping and collaborative evaluation for GIS analysis in the tropics of central Bali, Indonesia. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W1-2022, 73-80. https://doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-73-2022

Böhlen, Marc., Liu, Jianqiao., Iryadi, Rajif. (2022). Combining landsat, sentinel2 and planet lab satellite assets for Resource-constrained land cover analysis in the Tropics. Abstracts of the ICA, 5, 1-2. https://doi.org/10.5194/ica-abs-5-44-2022