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Dailiang Peng
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2020 – today
- 2024
- [j34]Weifeng Xu
, Jun Li
Vertical Accuracy Assessment and Improvement of Five High-Resolution Open-Source Digital Elevation Models Using ICESat-2 Data and Random Forest: Case Study on Chongqing, China. Remote. Sens. 16(11): 1903 (2024) - [j33]Junfeng Xu
Matching Spring Phenology Indicators in Ground Observations and Remote-Sensing Metrics. Remote. Sens. 16(13): 2309 (2024) - [j32]Dailiang Peng, Enhui Cheng, Xuxiang Feng, Jinkang Hu, Zihang Lou, Hongchi Zhang, Bin Zhao, Yulong Lv, Hao Peng, Bing Zhang:
A Deep-Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data. Remote. Sens. 16(19): 3613 (2024) - [j31]Fumin Wang
Estimating Soybean Yields Using Causal Inference and Deep Learning Approaches With Satellite Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 14161-14178 (2024) - [j30]Enhui Cheng
A GT-LSTM Spatio-Temporal Approach for Winter Wheat Yield Prediction: From the Field Scale to County Scale. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - 2023
- [j29]Zhenrong Du, Le Yu, Xiyu Li, Jiyao Zhao, Xin Chen, Yidi Xu, Peng Yang, Jianyu Yang, Dailiang Peng, Yueming Xue, Peng Gong:
Integrating remote sensing temporal trajectory and survey statistics to update land use/land cover maps. Int. J. Digit. Earth 16(2): 4428-4445 (2023) - 2022
- [j28]Pengliang Wei
Rice mapping based on Sentinel-1 images using the coupling of prior knowledge and deep semantic segmentation network: A case study in Northeast China from 2019 to 2021. Int. J. Appl. Earth Obs. Geoinformation 112: 102948 (2022) - [j27]Shengwei Liu
The Accuracy of Winter Wheat Identification at Different Growth Stages Using Remote Sensing. Remote. Sens. 14(4): 893 (2022) - [j26]Qiang Zhao
An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends. Remote. Sens. 14(8): 1863 (2022) - [j25]Zihang Lou, Dailiang Peng, Xiaoyang Zhang
Soybean EOS Spatiotemporal Characteristics and Their Climate Drivers in Global Major Regions. Remote. Sens. 14(8): 1867 (2022) - [j24]Yuhao Pan
Characteristics of Greening along Altitudinal Gradients on the Qinghai-Tibet Plateau Based on Time-Series Landsat Images. Remote. Sens. 14(10): 2408 (2022) - [j23]Fumin Wang, Siting Chen, Qiuxiang Yi, Dailiang Peng, Xiaoping Yao
Characterizing Spatial Patterns of the Response Rate of Vegetation Green-Up Dates to Land Surface Temperature in Beijing, China (2001-2019). Remote. Sens. 14(12): 2788 (2022) - 2021
- [j22]Helin Zhang
Spatiotemporal Dynamics of Net Primary Productivity in China's Urban Lands during 1982-2015. Remote. Sens. 13(3): 400 (2021) - [j21]Qiang Zhao
Progress and Trends in the Application of Google Earth and Google Earth Engine. Remote. Sens. 13(18): 3778 (2021) - [j20]Yong Shi, Zhihui Wang
Improving Estimation of Woody Aboveground Biomass of Sparse Mixed Forest over Dryland Ecosystem by Combining Landsat-8, GaoFen-2, and UAV Imagery. Remote. Sens. 13(23): 4859 (2021) - 2020
- [j19]Siyuan Chen, Liangyun Liu
Upscaling from Instantaneous to Daily Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) for Satellite Products. Remote. Sens. 12(13): 2083 (2020) - [j18]Yan Wang
Contrasting Effects of Temperature and Precipitation on Vegetation Greenness along Elevation Gradients of the Tibetan Plateau. Remote. Sens. 12(17): 2751 (2020) - [j17]Yan Wang
Monitoring Crop Growth During the Period of the Rapid Spread of COVID-19 in China by Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6195-6205 (2020)
2010 – 2019
- 2019
- [j16]Qiaoyun Xie
Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 80: 187-195 (2019) - [j15]Bing Zhang
Remotely sensed big data: evolution in model development for information extraction [point of view]. Proc. IEEE 107(12): 2294-2301 (2019) - [j14]Liangyun Liu
Global White-Sky and Black-Sky FAPAR Retrieval Using the Energy Balance Residual Method: Algorithm and Validation. Remote. Sens. 11(9): 1004 (2019) - [j13]Dailiang Peng, Helin Zhang
Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables. Remote. Sens. 11(19): 2270 (2019) - [c6]Xuan Yang, Zhengchao Chen, Baipeng Li, Dailiang Peng, Pan Chen, Bing Zhang:
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning. IGARSS 2019: 5913-5916 - [i1]Xuan Yang, Zhengchao Chen, Baipeng Li, Dailiang Peng, Pan Chen, Bing Zhang:
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning. CoRR abs/1908.03438 (2019) - 2018
- [j12]Yue Shi
Partial Least Square Discriminant Analysis Based on Normalized Two-Stage Vegetation Indices for Mapping Damage from Rice Diseases Using PlanetScope Datasets. Sensors 18(6): 1901 (2018) - [j11]Shezhou Luo
Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 300-310 (2018) - [j10]Qiaoyun Xie
Vegetation Indices Combining the Red and Red-Edge Spectral Information for Leaf Area Index Retrieval. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(5): 1482-1493 (2018) - 2017
- [j9]Shezhou Luo, Cheng Wang, Xiaohuan Xi, Feifei Pan
Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 58: 107-117 (2017) - [c5]Liwei Li, Yixin Wu, Xianfeng Zhou, Linyi Liu, Yunxia Wei, Dailiang Peng, Liping Lei, Wenjiang Huang, Bing Zhang:
Analysis of change detection algorithms with Landsat-8 data on landslide mapping in the Kaikoura earthquake. IGARSS 2017: 1950-1953 - 2016
- [j8]Junsheng Li, Shenglei Wang, Yanhong Wu, Bing Zhang, Xiaoling Chen, Fangfang Zhang, Qian Shen, Dailiang Peng, Liqiao Tian:
MODIS observations of water color of the largest 10 lakes in China between 2000 and 2012. Int. J. Digit. Earth 9(8): 788-805 (2016) - 2014
- [j7]Yong Hu, Liangyun Liu, Lingling Liu, Dailiang Peng, Quanjun Jiao
A Landsat-5 Atmospheric Correction Based on MODIS Atmosphere Products and 6S Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(5): 1609-1615 (2014) - 2013
- [j6]Fumin Wang, Jingfeng Huang
Monitoring nitrogen concentration of oilseed rape from hyperspectral data using radial basis function. Int. J. Digit. Earth 6(6): 550-562 (2013) - [j5]Liangyun Liu, Dailiang Peng, Yong Hu, Quanjun Jiao:
A Novel in Situ FPAR Measurement Method for Low Canopy Vegetation Based on a Digital Camera and Reference Panel. Remote. Sens. 5(1): 274-281 (2013) - [j4]Dailiang Peng, Zhangyan Jiang, Alfredo R. Huete
Response of Spectral Reflectances and Vegetation Indices on Varying Juniper Cone Densities. Remote. Sens. 5(10): 5330-5345 (2013) - 2012
- [j3]Dailiang Peng, Bing Zhang, Liangyun Liu:
Comparing spatiotemporal patterns in Eurasian FPAR derived from two NDVI-based methods. Int. J. Digit. Earth 5(4): 283-298 (2012) - [j2]Dailiang Peng, Bing Zhang, Liangyun Liu, Dongmei Chen, Hongliang Fang, Yong Hu:
Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI. Int. J. Digit. Earth 5(5): 439-455 (2012) - 2011
- [j1]Dailiang Peng, Alfredo R. Huete
Detection and estimation of mixed paddy rice cropping patterns with MODIS data. Int. J. Appl. Earth Obs. Geoinformation 13(1): 13-23 (2011) - [c4]Hao Zhang, Zhengchao Chen, Bing Zhang, Dailiang Peng:
Comparison of two water vapor retrieval algorithms for HJ1A hyperspectral imagery. IGARSS 2011: 1732-1735 - [c3]Qian Shen, Bing Zhang, Junsheng Li, Yuanfeng Wu, Yanhong Wu, Hao Zhang, Dailiang Peng:
Retrieval total suspended substance concentration of Three Gorges based on CHRIS/PROBA remote sensing images. IGARSS 2011: 1736-1739 - [c2]Dailiang Peng, Liangyun Liu, Bing Zhang, Qian Shen:
Comparisons of FPAR derived from GIMMS AVHRR NDVI and MODIS product. IGARSS 2011: 1842-1845 - [c1]Liwei Li, Bing Zhang, Liping Lei, Lianru Gao, Dailiang Peng, Yanhong Wu, Jianwen Ma:
Rapid detection of collapsed built-up structures using postevent VHR in earthquake-affected areas. IGARSS 2011: 1870-1873
Coauthor Index
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last updated on 2024-10-25 20:15 CEST by the dblp team
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