期刊论文

[30] Chen S, Huang W*, Chen Y, Feng M. (2021). An adaptive thresholding approach to extract flood coverage from Sentinel-1 SAR imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (in revision). (SCI;EI)

[29] Huang W*, Min W, Ding J, Liu Y, Hu Y, Shen H. (2021). Forest height mapping using inventory and multi-source satellite data. Forest Ecosystem, 00253 (in revision). (SCI;EI)

[28] 丁家祺,黄文丽*,胡杨,刘迎春 (2021). 基于机器学习及多源数据的湘西北森林地上生物量估测. 2021, 57 (10) (EI)

[27] Song XP*, Huang W*, Hansen MC, Potapov P. (2021). An evaluation of Landsat, Sentinel-2, Sentinel-1 and MODIS data for crop type mapping. Science of Remote Sensing, 3, 100018. DOI: 10.1016/j.srs.2021.100018.

[26] Huang W*, Dolan K, Swatantran A, Johnson K, O'Neil Dunne J, Tang H, Dubayah R, Hurtt G. (2019). High-Resolution Mapping of Aboveground Biomass for Forest Carbon Monitoring System in the Tri-State Region of Maryland, Pennsylvania and Delaware, USA. Environment Research Letters. 14(6): 095002. DOI: 10.1088/1748-9326/ab2917 (SCI;EI) IF=6.096; 中科院2Top

[25] Huang W*, DeVries B, Huang C, Jones J, Lang, M, Creed I, undefinedamp; Carroll M. (2018). Automated Extraction of Surface Water Extent from Sentinel-1 data. Remote Sensing. 10 (5): 797-816. DOI: 10.3390/rs10050797(SCI;EI), IF=4.118; JCR Q1; 中科院2区;

[24] Huang W*, Swatantran A, Duncanson LI, Johnson K, Watkinson D, Dolan K, O-Neil Dune J, Hurtt G, undefinedamp; Dubayah R. (2017). County-Scale Biomass Map Comparison: a Case Study for Sonoma, California. Carbon Management. 8: 417-434. DOI: 10.1080/17583004.2017.1396840(SCI;EI)

[23] Huang W*, Swatantran A, Johnson K, Duncanson L, Tang H, O'Neil Dunne J, Hurtt G, Dubayah R. (2015). Local Discrepancies in Continental Scale Biomass Maps: A Case Study over Forested and Non-Forested Landscapes in Maryland, USA. Carbon Balance and Management. 10: 19. DOI: 10.1186/s13021-015-0030-9. IF=1.48; JCR-Q2;

[22] Huang W*, Sun G, Ni W, Zhang Z, Dubayah R. (2015). Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass, Remote Sensing. 8 (7): 9587-9609. DOI: 10.3390/rs70809587. (SCI;EI), IF=3.036; JCR-Q1; 中科院2;

[21] Huang W*, Sun G, Montesano P, Ni W, Zhang Z. (2013). Mapping biomass change after forest disturbance: Applying LiDAR footprint-derived models at key map scales. Remote Sensing of Environment. 134: 319-332. DOI: 10.1016/j.rse.2013.03.017.(SCI;EI), IF=7.65; JCR-Q1;

 

[20]  Dou P, Shen H, Li Z, X. Guan and Huang W. (2021). Remote Sensing Image Classification Using Deep–Shallow Learning, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 3070-3083, 2021, DOI: 10.1109/JSTARS.2021.3062635. (SCI;EI)

[19]  Ma L, Hurtt G, Tang H, Lamb R, Campbell E, Dubayah R, Guy M, Huang W, Lister A, Lu J, O'Neil-Dunne J, Rudee1 J, Shen Q undefinedamp; Silva C. (2021). High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA. Environmental Research Letters. 16 (4) 045014. DOI: 10.1088/1748-9326/abe4f4 (SCI;EI)

[18] 沈焕锋,李慧芳*,曾超,李全,黄文丽,武辰,张洪艳.(2021).测绘通报.大类培养模式下遥感概论课程的教学内容设计. 2021,0(1): 148-151.

[17] DeVries B*, Huang C, Armstrong J, Huang W, Jones J, Megan L. (2020). Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine. Remote Sensing of Environment240. DOI: 10.1016/j.rse.2020.111664 (SCI;EI), IF=7.65;

[16] Hu Y, Xu X, Wu F, Sun Z, Xia H, Meng Q, Huang W, Zhou H, Gao J, Li W, Peng D*, Xiao X. (2020). Estimating Forest Stock Volume in Hunan Province, China, by Integrating in Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models. Remote Sens. 2020, 12(1), 186; DOI: doi.org/10.3390/rs12010186 . (SCI;EI), IF=4.848; JCR Q2; 中科院2区;

[15] Hurtt G*, Zhao M, Sahajpal R, Armstrong A, Birdsey RA, Campbell K, Dolan K, Dubayah R, Fish JP, Huang C, Huang W, Johnson K, Lamb R, Ma L, Marks R, O'Leary III D, O'Neil-Dunne J, Swantaran A, undefinedamp; Tang H. (2019). Beyond MRV: High-resolution forest carbon modeling for climate mitigation planning over MD, USA. Environment Research Letters, 14 (4): 045013DOI: 10.1088/1748-9326/ab0bbe(SCI;EI) IF=4.54;

[14] Duncanson L*, Huang W, Johnson K, Swatantran A, O-Neil Dune J, Hurtt G, and Dubayah R. Implications of Allometric Equation Selection for County-level Biomass Mapping (2017). Carbon Balance and Management. 2017 Dec; 12: 18. DOI: 10.1186/s13021-017-0086-9. (SCIIF=3.0; 2区;

[13] Johnson K*, Domke GM, Russell MB, Walters B, Hom J, Peduzzi A, Birdsey R, Katelyn D, undefinedamp; Huang W. (2017). Estimating aboveground live understory vegetation carbon in the United States. Environmental Research Letters. 12, 125010. DOI: 10.1088/1748-9326/aa8fdb (SCI;EI), IF=4.04; 2Top;

[12 DeVries B*, Huang C, Lang M, Jones J, Huang W, Creed I, undefinedamp; Carroll M. (2017). Automated quantification of surface water fraction in wetlands using optical Landsat and Sentinel-2 imagery. Remote Sensing 9(8), 807; DOI: 10.3390/rs9080807(SCI;EI), IF=3.24; JCR-Q2;

[11] Zhang Z, Ni W*, Sun G, Huang W, Ranson KJ, Cook BD, undefinedamp; Guo Z. (2017). Biomass retrieval from L-band polarimetric UAVSAR backscatter and PRISM stereo imagery. Remote Sensing of Environment, 194, 331-346. DOI: 10.1016/j.rse.2017.03.034. (SCI;EI), IF=7.65;

[10] Rosette J*, Cook B, Nelson R, Huang C, Masek JG, Tucker C, Sun G, Huang W, Montesano P, Rubio-Gil J, undefinedamp; Ranson J. (2015). Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative. IEEE Geoscience and Remote Sensing Letters, 12 (7): 1511-1515; DOI: 10.1109/LGRS.2015.2411262. (SCI;EI), IF=2.76;

[9] Cheng X*, Huang W, undefinedamp; Gong J. (2015). Adaptive polarimetric decomposition using incoherent ground scattering models without reflection symmetry assumption. Geo-spatial Information Science, 18, 1-10. DOI: 10.1080/10095020.2015.1016201. (CSCD), IF=0.9;

[8] Ni W*, Sun G, Ranson KJ, Zhang Z, He Y, Huang W, undefinedamp; Guo, Z. (2014). Model-Based Analysis of the Influence of Forest Structures on the Scattering Phase Center at L-Band. IEEE Transactions on Geoscience and Remote Sensing, 52(9): 3937-3945. DOI: 10.1109/TGRS.2013.2278171. (SCIundefinedamp;EI), IF=4.94;

[7] Cheng X*, Huang W, Gong J. (2014). An Unsupervised Scattering Mechanism Classification Method for PolSAR Images. IEEE Geoscience and Remote Sensing Letters. 11: 1677-1681. DOI: 10.1109/LGRS.2014. 2305655. (SCI;EI), IF=2.76;

[6] Ni W*, Sun G, Ranson KJ, Zhang Z, He Y, Huang W, undefinedamp; Guo, Z. (2014). Model-Based Analysis of the Influence of Forest Structures on the Scattering Phase Center at L-Band. IEEE Trans. Geos. Remote Sens., 52(9). DOI: 10.1109/TGRS.2013.2278171. (SCI;EI)

[5] Cheng X*, Huang W, Gong J. (2014). Improved van Zyl Polarimetric Decomposition Lessening the Overestimation of Volume Scattering Power. Remote Sensing. 6(7): 6365-6385. DOI: 10.3390/rs6076365 . (SCI;EI), IF=2.62;

[4] Cheng X*, Huang W, Gong J. (2013). A decomposition-free scattering mechanism classification method for PolSAR images with Neumann’s model. Remote Sensing Letters, 4:1176-1184. DOI: 10.1080/2150704X.2013.858840. (SCI), IF=1.53;

[3] 窦爱霞*, 马宗晋黄文丽王晓青袁小祥(2013)基于机载LiDAR和多光谱图像的建筑物震害自动识别方法遥感信息. 2013, 28 (4): 103-109. (CSCD)

[2] Ni W*, Sun G, Guo Z, Zhang Z, He Y, Huang W. (2013), Retrieval of Forest Biomass from ALOS PALSAR Data Using a Lookup Table Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(2): 875-886. DOI: 10.1080/2150704X.2013.858840. (SCI;EI), IF=2.91;

[1] Wang D, Wan Y*, Xiao J, Lai X, Huang W, Xu J. (2012) Aerial Image Mosaicking with the Aid of Vector Roads. Photogrammetric Engineering and Remote Sensing. 78 (11): 1141-1150. DOI: 10.14358/PERS.78.11.1141(SCI;EI)

 

数据产品

    [3] Dubayah, R., Swatantran, A., Huang, W.*, Duncanson, L., Johnson, K., Tang, H., Dunne, J., Hurtt, G. (2018). CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Tri-State (MD, PA, DE) Region V2. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1538    

    [2] Dubayah, R., Swatantran, A., Huang, W.*, Duncanson, L., Johnson, K., Tang, H., Dunne, J., Hurtt, G. (2017). CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Sonoma County, California 2013. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1523.

    [1] Dubayah, R., Swatantran, A., Huang, W.*, Duncanson, L., Johnson, K., Tang, H., Dunne, J., Hurtt, G. (2016). CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1320.

 

著作章节

    [2] 孙国清*, 庞勇, 倪文俭, 黄文丽, 李增元 (2013). 植被高度和空间结构. 《定量遥感:理念与算法》, 梁顺林, 李小文, 王锦地(主编), 第14章, 中国科学出版社, 北京.

    [1] Sun, G.*, Pang, Y., Ni, W., Huang, W., Li, Z., (2012). Chapter 14 - Vegetation Height and Vertical Structure. Advanced Remote Sensing (pp. 439-466). Boston: Academic Press in Liang et al. 2012, ISBN: 978-0-12-385954-9. DOI: 10.1016/B978-0-12-385954-9.00014-9.

    *通讯作者

 

会议论文

    [7] Huang, W., DeVries, B., Huang, C., Jones, J., Lang, M., Creed, I. (2017). Automated Extraction of Inland Surface Water Extent from Sentinel-1 data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017 (pp. 2259-2262). Fort Worth, Texas, USA. DOI: 10.1109/IGARSS.2017.8127439. (EI).

    [6] Huang, W., Sun, G., Zhang, Z., Ni, W. (2013). Sensitivity of multi-source SAR backscatter to changes of forest aboveground biomass. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2013 (pp. 2457-2460). DOI: 10.1109/IGARSS.2013.6723318. (EI).

    [5] Huang, W., Sun, G., Dubayah, R., Zhang, Z., Ni, W. (2012). Mapping Forest Above-ground Biomass and its Changes from LVIS Waveform Data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2012. Munich, Germany. DOI: 10.1109/igarss.2012.6352096. (EI).  

    [4] Huang, W., Liu, H., Bai, M. (2009). Urban Expansion Simulation Based On Constrained Artificial Neural Network Cellular Automata Model. Beijing, China. Proc. of SPIE. Geoinformatics 2009. DOI: 10.1109/GEOINFORMATICS.2009.5293544. (EI).

    [3] Huang, W., Liu, H., Luan, Q., Jiang, Q. (2008). Detection and Prediction of Land Use Change in Beijing Based on Remote Sensing and GIS. Beijing, China. Proc. of (ISPRS), vol. XXXVII. Part B6b. XXXVII/congress/6b_pdf/13.pdf (EI). 

    [2] Zhang, Z., Sun, G., Wang, Y., Ni, W., Huang, W., Zhang, L. (2011). Biomass Retrieval based on Polarimetric Target Decomposition. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2011. DOI: 10.1109/IGARSS.2011.6049506. (EI). 

    [1] Zhang, Z., Sun, G., Zhang, L., Ni, W., Huang, W., (2011). Biomass Retrieval based on UAV SAR Polarimetric Data, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2010. DOI: 10.1109/IGARSS.2010.5651641. (EI).