Pan J - Search Results

1

Multi-Feature Classification of Multi-Sensor Satellite Imagery Based on Dual-Polarimetric Sentinel-1A, Landsat-8 OLI, and Hyperion Images for Urban Land-Cover Classification.

Zhou T, Li Z, Pan J. Zhou T, et al. Among authors: pan j. Sensors (Basel). 2018 Jan 27;18(2):373. doi: 10.3390/s18020373. Sensors (Basel). 2018. PMID: 29382073 Free PMC article.

2

Quantitative assessment of desertification using landsat data on a regional scale - a case study in the ordos plateau, china.

Xu D, Kang X, Qiu D, Zhuang D, Pan J. Xu D, et al. Among authors: pan j. Sensors (Basel). 2009;9(3):1738-53. doi: 10.3390/s90301738. Epub 2009 Mar 12. Sensors (Basel). 2009. PMID: 22573984 Free PMC article.

3

Simulation of runoff and nutrient export from a typical small watershed in China using the Hydrological Simulation Program-Fortran.

Li Z, Liu H, Luo C, Li Y, Li H, Pan J, Jiang X, Zhou Q, Xiong Z. Li Z, et al. Among authors: pan j. Environ Sci Pollut Res Int. 2015 May;22(10):7954-66. doi: 10.1007/s11356-014-3960-y. Epub 2014 Dec 18. Environ Sci Pollut Res Int. 2015. PMID: 25516253

4

Mapping Winter Wheat with Multi-Temporal SAR and Optical Images in an Urban Agricultural Region.

Zhou T, Pan J, Zhang P, Wei S, Han T. Zhou T, et al. Among authors: pan j. Sensors (Basel). 2017 May 25;17(6):1210. doi: 10.3390/s17061210. Sensors (Basel). 2017. PMID: 28587066 Free PMC article.

5

Eliminating redundant spatial variation to better understand the variance of interest of soil potentially toxic elements at different sampling scales in different soil types south of Nanjing, China.

Wang W, Li J, Li Z, Pan J, Zhang Y. Wang W, et al. Among authors: pan j. Environ Sci Pollut Res Int. 2018 Oct;25(29):29038-29053. doi: 10.1007/s11356-018-2872-7. Epub 2018 Aug 14. Environ Sci Pollut Res Int. 2018. PMID: 30109690

6

Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region.

Sun C, Bian Y, Zhou T, Pan J. Sun C, et al. Among authors: pan j. Sensors (Basel). 2019 May 26;19(10):2401. doi: 10.3390/s19102401. Sensors (Basel). 2019. PMID: 31130689 Free PMC article.

7

Differences in the responses of flow and nutrient load to isolated and coupled future climate and land use changes.

Luo C, Li Z, Liu H, Li H, Wan R, Pan J, Chen X. Luo C, et al. Among authors: pan j. J Environ Manage. 2020 Feb 15;256:109918. doi: 10.1016/j.jenvman.2019.109918. Epub 2019 Dec 5. J Environ Manage. 2020. PMID: 31818739

8

High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms.

Zhou T, Geng Y, Chen J, Pan J, Haase D, Lausch A. Zhou T, et al. Among authors: pan j. Sci Total Environ. 2020 Aug 10;729:138244. doi: 10.1016/j.scitotenv.2020.138244. Epub 2020 Apr 13. Sci Total Environ. 2020. PMID: 32498148

9

Prediction of soil organic carbon and the C:N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and Landsat-8 images.

Zhou T, Geng Y, Ji C, Xu X, Wang H, Pan J, Bumberger J, Haase D, Lausch A. Zhou T, et al. Among authors: pan j. Sci Total Environ. 2021 Feb 10;755(Pt 2):142661. doi: 10.1016/j.scitotenv.2020.142661. Epub 2020 Oct 2. Sci Total Environ. 2021. PMID: 33059134

10

Digital Mapping of Soil Organic Carbon Based on Machine Learning and Regression Kriging.

Zhu C, Wei Y, Zhu F, Lu W, Fang Z, Li Z, Pan J. Zhu C, et al. Among authors: pan j. Sensors (Basel). 2022 Nov 21;22(22):8997. doi: 10.3390/s22228997. Sensors (Basel). 2022. PMID: 36433592 Free PMC article.

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