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郝鹏宇, Pengyu Hao
郝鹏宇, Pengyu Hao
FAO, UN
在 radi.ac.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Feature selection of time series MODIS data for early crop classification using random forest: A case study in Kansas, USA
P Hao, Y Zhan, L Wang, Z Niu, M Shakir
Remote Sensing 7 (5), 5347-5369, 2015
2782015
An overview of the applications of earth observation satellite data: impacts and future trends
Q Zhao, L Yu, Z Du, D Peng, P Hao, Y Zhang, P Gong
Remote Sensing 14 (8), 1863, 2022
1332022
Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples
P Hao, L Di, C Zhang, L Guo
Science of The Total Environment 733, 138869, 2020
1192020
An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery
M Wu, C Wu, W Huang, Z Niu, C Wang, W Li, P Hao
Information fusion 31, 14-25, 2016
932016
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer
C Zhang, L Di, P Hao, Z Yang, L Lin, H Zhao, L Guo
International Journal of Applied Earth Observation and Geoinformation 102 …, 2021
672021
The potential of time series merged from Landsat-5 TM and HJ-1 CCD for crop classification: a case study for Bole and Manas Counties in Xinjiang, China
P Hao, L Wang, Z Niu, A Aablikim, N Huang, S Xu, F Chen
Remote Sensing 6 (8), 7610-7631, 2014
56*2014
FROM-GLC Plus: Toward near real-time and multi-resolution land cover mapping
L Yu, Z Du, R Dong, J Zheng, Y Tu, X Chen, P Hao, B Zhong, D Peng, ...
GIScience & Remote Sensing 59 (1), 1026-1047, 2022
542022
Early-season crop type mapping using 30-m reference time series
P HAO, H TANG, Z CHEN, Q MENG, Y KANG
Journal of Integrative Agriculture 19 (7), 1897-1911, 2020
522020
AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine
C Zhang, L Di, Z Yang, L Lin, P Hao
Environmental Modelling & Software 129, 104694, 2020
512020
High resolution crop intensity mapping using harmonized Landsat-8 and Sentinel-2 data
P HAO, H Tang, Z CHEN, YU Le, M Wu
Journal of Integrative Agriculture 18 (12), 2883-2897, 2019
492019
Annual dynamic dataset of global cropping intensity from 2001 to 2019
X Liu, J Zheng, L Yu, P Hao, B Chen, Q Xin, H Fu, P Gong
Scientific Data 8 (1), 283, 2021
472021
Reconstruction of daily 30 m data from HJ CCD, GF-1 WFV, Landsat, and MODIS data for crop monitoring
M Wu, X Zhang, W Huang, Z Niu, C Wang, W Li, P Hao
Remote Sensing 7 (12), 16293-16314, 2015
472015
Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas
M Wu, W Huang, Z Niu, Y Wang, C Wang, W Li, P Hao, B Yu
Computers and Electronics in Agriculture 139, 1-9, 2017
462017
Crop classification using crop knowledge of the previous-year: Case study in Southwest Kansas, USA
P Hao, L Wang, Y Zhan, C Wang, Z Niu, M Wu
European Journal of Remote Sensing 49 (1), 1061-1077, 2016
452016
Comparison of hybrid classifiers for crop classification using normalized difference vegetation index time series: A case study for major crops in North Xinjiang, China
P Hao, L Wang, Z Niu
PloS one 10 (9), e0137748, 2015
452015
Using moderate-resolution temporal NDVI profiles for high-resolution crop mapping in years of absent ground reference data: a case study of bole and manas counties in Xinjiang …
P Hao, L Wang, Y Zhan, Z Niu
ISPRS International Journal of Geo-Information 5 (5), 67, 2016
432016
Spatiotemporal changes of urban impervious surface area and land surface temperature in Beijing from 1990 to 2014
P Hao, Z Niu, Y Zhan, Y Wu, L Wang, Y Liu
GIScience & Remote Sensing 53 (1), 63-84, 2016
432016
Annual cropland mapping using reference Landsat time series—a case study in Central Asia
P Hao, F Löw, C Biradar
Remote Sensing 10 (12), 2057, 2018
372018
A 1 km global cropland dataset from 10 000 BCE to 2100 CE
B Cao, L Yu, X Li, M Chen, X Li, P Hao, P Gong
Earth System Science Data 13 (11), 5403-5421, 2021
352021
Early-season crop mapping using improved artificial immune network (IAIN) and Sentinel data
P Hao, H Tang, Z Chen, Z Liu
PeerJ 6, e5431, 2018
322018
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