Follow
Peng Fu
Peng Fu
Assistant Professor@Harrisburg University, Applied Scientist@Perennial Climate Inc., U of Illinois
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
Q Weng, P Fu, F Gao
Remote Sensing of Environment 145, 55-67, 2014
5272014
A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery
P Fu, Q Weng
Remote Sensing of Environment 175, 205-214, 2016
4692016
Deep learning-based fusion of Landsat-8 and Sentinel-2 images for a harmonized surface reflectance product
Z Shao, J Cai, P Fu, L Hu, T Liu
Remote Sensing of Environment 235, 111425, 2019
2042019
Modeling annual parameters of clear-sky land surface temperature variations and evaluating the impact of cloud cover using time series of Landsat TIR data
Q Weng, P Fu
Remote Sensing of Environment 140, 267-278, 2014
1552014
A survey and analysis on automatic image annotation
Q Cheng, Q Zhang, P Fu, C Tu, S Li
Pattern Recognition 79, 242-259, 2018
1392018
High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity
K Meacham-Hensold, CM Montes, J Wu, K Guan, P Fu, EA Ainsworth, ...
Remote sensing of environment 231, 111176, 2019
1372019
Assessing the Impacts of Urbanization-Associated Land Use/Cover Change on Land Surface Temperature and Surface Moisture: A Case Study in the Midwestern United States
Y Jiang, P Fu, Q Weng
Remote Sensing 7 (4), 4880-4898, 2015
1252015
Hyperspectral leaf reflectance as proxy for photosynthetic capacities: an ensemble approach based on multiple machine learning algorithms
P Fu, K Meacham-Hensold, K Guan, CJ Bernacchi
Frontiers in Plant Science 10, 730, 2019
1082019
Mapping Urban Impervious Surface by Fusing Optical and SAR Data at the Decision Level
Z Shao, H Fu, P Fu, L Yin
Remote Sensing 8 (11), 945, 2016
1002016
Modeling diurnal land temperature cycles over Los Angeles using downscaled GOES imagery
Q Weng, P Fu
ISPRS Journal of Photogrammetry and Remote Sensing 97, 78-88, 2014
912014
Variability in annual temperature cycle in the urban areas of the United States as revealed by MODIS imagery
P Fu, Q Weng
ISPRS Journal of Photogrammetry and Remote Sensing 146, 65-73, 2018
862018
Temporal variations of artificial nighttime lights and their implications for urbanization in the conterminous United States, 2013–2017
Y Xie, Q Weng, P Fu
Remote Sensing of Environment 225, 160-174, 2019
802019
Responses of urban heat island in Atlanta to different land-use scenarios
P Fu, Q Weng
Theoretical and Applied Climatology, 1-13, 2017
802017
Consistent land surface temperature data generation from irregularly spaced Landsat imagery
P Fu, Q Weng
Remote Sensing of Environment 184, 175-187, 2016
802016
Mapping soil organic carbon stock by hyperspectral and time-series multispectral remote sensing images in low-relief agricultural areas
L Guo, X Sun, P Fu, T Shi, L Dang, Y Chen, M Linderman, G Zhang, ...
Geoderma 398, 115118, 2021
782021
A Deep Semantic Alignment Network for the Cross-Modal Image-Text Retrieval in Remote Sensing
Q Cheng, Y Zhou, P Fu, Y Xu, L Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
722021
Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images
L Guo, P Fu, T Shi, Y Chen, H Zhang, R Meng, S Wang
Soil and Tillage Research 196, 104477, 2020
632020
A physical model-based method for retrieving urban land surface temperatures under cloudy conditions
P Fu, Y Xie, Q Weng, S Myint, K Meacham-Hensold, C Bernacchi
Remote Sensing of Environment 230, 111191, 2019
632019
Estimating photosynthetic traits from reflectance spectra: A synthesis of spectral indices, numerical inversion, and partial least square regression
P Fu, K Meacham‐Hensold, K Guan, J Wu, C Bernacchi
Plant, Cell & Environment 43 (5), 1241-1258, 2020
602020
The Dynamic Analysis between Urban Nighttime Economy and Urbanization Using the DMSP/OLS Nighttime Light Data in China from 1992 to 2012
H Fu, Z Shao, P Fu, Q Cheng
Remote Sensing 9 (5), 416, 2017
602017
The system can't perform the operation now. Try again later.
Articles 1–20