Citation: | Ji Yongjie, Xu Kunpeng, Zhang Wangfei, Shi Jianmin, Zhang Fuxiang. Comparative analysis of forest biomass retrieval from water cloud model (WCM) of polarized SAR data with different wavelengths[J]. Journal of Beijing Forestry University, 2023, 45(2): 24-33. DOI: 10.12171/j.1000-1522.20220006 |
[1] |
罗环敏. 基于极化干涉SAR的森林结构信息提取模型与方法[D]. 成都: 电子科技大学, 2011.
Luo H M. Models and methods of extracting forest structure information by polarmetric SAR interferometry[D]. Chengdu: University of Electronic Science and Technology of China, 2011.
|
[2] |
West P W. Tree and forest measurement[M]. Berlin: Springer Nature, 2004.
|
[3] |
Chen L, Wang Y, Ren C, et al. Assessment of multi-wavelength SAR and multispectral instrument data for forest aboveground biomass mapping using random forest kriging[J]. Forest Ecology and Management, 2019, 447: 12−25. doi: 10.1016/j.foreco.2019.05.057
|
[4] |
Toan T L, Beaudoin A, Riom J, et al. Relating forest biomass to SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(2): 403−411. doi: 10.1109/36.134089
|
[5] |
陈尔学. 合成孔径雷达森林生物量估测研究进展[J]. 世界林业研究, 1999, 12(6): 18−23.
Chen E X. Development of forest biomass estimation using SAR data[J]. World Forestry Research, 1999, 12(6): 18−23.
|
[6] |
姬永杰, 张王菲. 森林地上生物量合成孔径雷达技术反演研究综述[J]. 世界林业研究, 2022, 35(3): 32−39.
Ji Y J, Zhang W F. Review on retrieval of forest aboveground biomass by SAR technology[J]. World Forestry Research, 2022, 35(3): 32−39.
|
[7] |
李云, 张王菲, 崔鋆波, 等. 参数优选支持的光学与SAR数据森林地上生物量反演研究[J]. 北京林业大学学报, 2020, 42(10): 11−19.
Li Y, Zhang W F, Cui J B, et al. Inversion exploration on forest aboveground biomass of optical and SAR data supported by parameter optimization method[J]. Journal of Beijing Forestry University, 2020, 42(10): 11−19.
|
[8] |
史建敏, 张王菲, 曾鹏, 等. 联合GF-1和GF-3影像的森林地上生物量反演[J]. 北京林业大学学报, 2022, 44(11): 70−81.
Shi J M, Zhang W F, Zeng P, et al. Inversion of forest aboveground biomass from combined images of GF-1 and GF-3[J]. Journal of Beijing Forestry University, 2022, 44(11): 70−81.
|
[9] |
Attema E, Ulaby F T. Vegetation modeled as a water cloud[J]. Radio Science, 1978, 13(2): 357−364. doi: 10.1029/RS013i002p00357
|
[10] |
杨贵军, 岳继博, 李长春, 等. 基于改进水云模型和Radarsat-2数据的农田土壤含水量估算[J]. 农业工程学报, 2016, 32(22): 146−153.
Yang G J, Yue J B, Li C H, et al. Estimation of soil moisture in farmland using improved water cloud model and Radarsat-2 data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(22): 146−153.
|
[11] |
张智宏. 基于极化SAR的小麦倒伏灾害与长势监测研究[D]. 西安: 西安科技大学, 2017.
Zhang Z H. Research on wheat condition and growth monitoring based on compact polarimetric SAR[D]. Xi’an: Xi’an University of Science and Technology, 2017.
|
[12] |
Hosseini M, Mcnairn H, Mitchell S, et al. A comparison between support vector machine and water cloud model for estimating crop leaf area index[J/OL]. Remote Sensing, 2021, 13(7): 1348[2021−03−01]. https://doi.org/10.3390/rs13071348.
|
[13] |
Santoro M, Askne J, Eriksson L, et al. Seasonal dynamics and stem volume retrieval in boreal forests using JERS-1 backscatter[C]. Proceedings of SPIE. Berlin: the International Society for Optical Engineering, 2003.
|
[14] |
戴玉芳, 凌飞龙. 水云模型于L波段SAR和中国北方森林的适用性分析[J]. 遥感信息, 2013, 28(4): 44−49.
Dai Y F, Ling F L. Suitability analysis of water cloud model for L-band synthetic aperture radar to forest in northeast China[J]. Remote Sensing Information, 2013, 28(4): 44−49.
|
[15] |
Askne J I H, Dammert P B G, Ulander L M H, et al. C-band repeat-pass interferometric SAR observations of the forest[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35: 25−35. doi: 10.1109/36.551931
|
[16] |
Cartus O, Santoro M, Kellndorfer J. Mapping forest aboveground biomass in the Northeastern United States with ALOS PALSAR dual-polarization L-band[J]. Remote Sensing of Environment, 2012, 124: 466−478. doi: 10.1016/j.rse.2012.05.029
|
[17] |
Santoro M, Eriksson L E B, Fransson J E S. Reviewing ALOS PALSAR backscatter observations for stem volume retrieval in swedish forest[J]. Remote Sensing, 2015, 7(4): 4290−4317. doi: 10.3390/rs70404290
|
[18] |
Santoro M, Cartus O. Research pathways of forest above-ground biomass estimation based on SAR backscatter and interferometric SAR observations[J/OL]. Remote Sensing, 2018, 10(4): 608[2018−04−01]. https://doi.org/10.3390/rs10040608.
|
[19] |
Santoro M, Beer C, Cartus O, et al. Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements[J]. Remote Sensing of Environment, 2011, 115: 490−507. doi: 10.1016/j.rse.2010.09.018
|
[20] |
张伟伦, 张延成, 范文义, 等. 干涉水云模型对不同极化方式哨兵数据估测森林生物量的精度比较[J]. 东北林业大学学报, 2020, 48(11): 27−32.
Zhang W L, Zhang Y C, Fan W Y, et al. Comparison of biomass accuracy with different polarization data with interferometric water cloud model[J]. Journal of Northeast Forestry University, 2020, 48(11): 27−32.
|
[21] |
穆喜云. 森林地上生物量遥感估测方法研究[D]. 呼和浩特: 内蒙古农业大学, 2015.
Mu X Y. A study on the estimating method of forest above ground biomass based on remote sensing data[D]. Hohhot: Inner Mongolia Agricultural University, 2015.
|
[22] |
冯琦, 陈尔学, 李增元, 等. 基于机载P波段全极化SAR数据的复杂地形森林地上生物量估测方法[J]. 林业科学, 2016, 52(3): 10−22.
Feng Q, Chen E X, Li Z Y, et al. Forest above-ground biomass estimation method of rugged terrain based on airborne P-band PolSAR data[J]. Scientia Silvae Sinicae, 2016, 52(3): 10−22.
|
[23] |
Pulliainen J, Heiska K, Hyyppae J, et al. Backscattering properties of boreal forests at C and X-band[J]. Ieee Transactions on Geoscience and Remote Sensing, 1994, 32(5): 1041−1050. doi: 10.1109/36.312892
|
[24] |
Cartus O, Santoro M. Exploring combinations of multi-temporal and multi-frequency radar backscatter observations to estimate above-ground biomass of tropical forest[J/OL]. Remote Sensing of Environment, 2019, 232: 111313[2022−07−01]. https://doi.org/10.1016/j.rse.2019.111313.
|
[25] |
Kumar S, Pandey U, Kushwaha S P, et al. Aboveground biomass estimation of tropical forest from Envisat advanced synthetic aperture radar data using modeling approach[J/OL]. Journal of Applied Remote Sensing, 2012, 6(1): 063588[2021−10−12]. https://doi.org/10.1117/1.JRS.6.063588.
|
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