A Circa 2010 Thirty Meter Resolution Forest Map for China. - Congcong Li; Jie Wang 036; Luanyun Hu; Le Yu 001; Nicholas Clinton; Huabing Huang; Jun Yang 016; Peng Gong 002 (Remote. Sens., 2014)

Mapping Urban Land Use by Using Landsat Images and Open Social Data. - Tengyun Hu; Jun Yang 016; Xuecao Li; Peng Gong 002 (Remote. Sens., 2016)

Quantifying Multi-Decadal Change of Planted Forest Cover Using Airborne LiDAR and Landsat Imagery. - Xiaoyi Wang; Huabing Huang; Peng Gong 002; Gregory S. Biging; Qinchuan Xin; Yanlei Chen; Jun Yang 016; Caixia Liu 002 (Remote. Sens., 2016)

Green Spaces as an Indicator of Urban Health: Evaluating Its Changes in 28 Mega-Cities. - Conghong Huang; Jun Yang 016; Hui Lu 003; Huabing Huang; Le Yu 001 (Remote. Sens., 2017)

Assessing Impacts of Urban Form on Landscape Structure of Urban Green Spaces in China Using Landsat Images Based on Google Earth Engine. - Conghong Huang; Jun Yang 016; Peng Jiang (Remote. Sens., 2018)

Combined Effects of Impervious Surface Change and Large-Scale Afforestation on the Surface Urban Heat Island Intensity of Beijing, China Based on Remote Sensing Analysis. - Na Yao; Conghong Huang; Jun Yang 016; Cecil C. Konijnendijk van den Bosch; Lvyi Ma; Zhongkui Jia (Remote. Sens., 2020)

A user-friendly assessment of six commonly used urban growth models. - Yuzhi Zhang; Mei-Po Kwan; Jun Yang 016 (Comput. Environ. Urban Syst., 2023)

Tracking the historical urban development by classifying Landsat MSS data with training samples migrated across time and space. - Zemin Feng; Yuqing Liu; Yan Shi; Jun Yang 016 (Int. J. Digit. Earth, 2023)

Landsat image classification using a deep learning model and multiple-source training samples. - Zhelun Sun; Xuecao Li; Hong Wei; Zemin Feng; Jun Yang 016 (Int. J. Digit. Earth, 2024)