Niu Z - Search Results

1

An index of non-sampling error in area frame sampling based on remote sensing data.

Wu M, Peng D, Qin Y, Niu Z, Yang C, Li W, Hao P, Zhang C. Wu M, et al. Among authors: niu z. PeerJ. 2018 Nov 12;6:e5824. doi: 10.7717/peerj.5824. eCollection 2018. PeerJ. 2018. PMID: 30473929 Free PMC article.

2

Range determination for generating point clouds from airborne small footprint LiDAR waveforms.

Qin Y, Vu TT, Ban Y, Niu Z. Qin Y, et al. Among authors: niu z. Opt Express. 2012 Nov 5;20(23):25935-47. doi: 10.1364/OE.20.025935. Opt Express. 2012. PMID: 23187409 Free article.

3

Modeling spatial patterns of soil respiration in maize fields from vegetation and soil property factors with the use of remote sensing and geographical information system.

Huang N, Wang L, Guo Y, Hao P, Niu Z. Huang N, et al. Among authors: niu z. PLoS One. 2014 Aug 26;9(8):e105150. doi: 10.1371/journal.pone.0105150. eCollection 2014. PLoS One. 2014. PMID: 25157827 Free PMC article.

4

Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China.

Wu M, Muhammad S, Chen F, Niu Z, Wang C. Wu M, et al. Among authors: niu z. Environ Sci Process Impacts. 2015 Apr;17(4):753-62. doi: 10.1039/c5em00061k. Environ Sci Process Impacts. 2015. PMID: 25797359

5

Synergistic application of geometric and radiometric features of LiDAR data for urban land cover mapping.

Qin Y, Li S, Vu TT, Niu Z, Ban Y. Qin Y, et al. Among authors: niu z. Opt Express. 2015 Jun 1;23(11):13761-75. doi: 10.1364/OE.23.013761. Opt Express. 2015. PMID: 26072748 Free article.

6

Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring.

Wu M, Li H, Huang W, Niu Z, Wang C. Wu M, et al. Among authors: niu z. Environ Sci Process Impacts. 2015 Aug;17(8):1396-404. doi: 10.1039/c5em00254k. Epub 2015 Jul 13. Environ Sci Process Impacts. 2015. PMID: 26165141

7

Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring.

Wu M, Huang W, Niu Z, Wang C. Wu M, et al. Among authors: niu z. Int J Environ Res Public Health. 2015 Aug 20;12(8):9920-37. doi: 10.3390/ijerph120809920. Int J Environ Res Public Health. 2015. PMID: 26308017 Free PMC article.

8

Comparison of Hybrid Classifiers for Crop Classification Using Normalized Difference Vegetation Index Time Series: A Case Study for Major Crops in North Xinjiang, China.

Hao P, Wang L, Niu Z. Hao P, et al. Among authors: niu z. PLoS One. 2015 Sep 11;10(9):e0137748. doi: 10.1371/journal.pone.0137748. eCollection 2015. PLoS One. 2015. PMID: 26360597 Free PMC article.

9

Generating Daily Synthetic Landsat Imagery by Combining Landsat and MODIS Data.

Wu M, Huang W, Niu Z, Wang C. Wu M, et al. Among authors: niu z. Sensors (Basel). 2015 Sep 18;15(9):24002-25. doi: 10.3390/s150924002. Sensors (Basel). 2015. PMID: 26393607 Free PMC article.

10

Crop Classification Based on Time Series MODIS EVI and Ground Observation for Three Adjoining Years in Xinjiang.

Muhammad S, Niu Z, Wang L, Aablikim A, Hao PY, Wang CY. Muhammad S, et al. Among authors: niu z. Guang Pu Xue Yu Guang Pu Fen Xi. 2015 May;35(5):1345-50. Guang Pu Xue Yu Guang Pu Fen Xi. 2015. PMID: 26415458

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