[1] |
DONG Jiarui, ROBERT K K, RANGA B M, et al. Remote sensing estimates of boreal and temperate forest woody biomass: carbon pools, sources, and sinks [J]. Remote Sensing of Environment, 2003, 84(3): 393 − 410. |
[2] |
王书贤, 张加龙, 廖易. 基于Landsat时间序列数据的森林地上生物量估测研究进展[J]. 世界林业研究, 2021, 34(6): 20 − 26.
WANG Shuxian, ZHANG Jialong, LIAO Yi. Research progress in above-ground forest biomass estimation based on landsat time series data [J]. World Forestry Research, 2021, 34(6): 20 − 26. |
[3] |
BACCINI A, GOETZ S J, WALKER W S, et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps [J]. Nature Climate Change, 2012, 2(3): 182 − 185. |
[4] |
田晓敏, 张晓丽. 森林地上生物量遥感估算方法[J]. 北京林业大学学报, 2021, 43(8): 137 − 147.
TIAN Xiaomin, ZHANG Xiaoli. Estimation of forest aboveground biomass by remote sensing [J]. Journal of Beijing Forestry University, 2021, 43(8): 137 − 147. |
[5] |
BACCINI A, GOETZ S J, LAPORTE N, et al. Comment on“A first map of tropical Africa’s above-ground biomass derived from satellite imagery” [J]. Environmental Research Letters, 2011, 6(4): 49001 − 49006. |
[6] |
BOUVET A, MERMOZ S, TOAN T L, et al. An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR [J]. Remote Sensing of Environment, 2018, 206: 156 − 173. |
[7] |
陈园园, 张晓丽, 高显连, 等. 基于Sentinel-1和Sentinel-2A的西小山林场平均树高估测[J]. 应用生态学报, 2021, 32(8): 2840 − 2846.
CHEN Yuanyuan, ZHANG Xiaoli, GAO Xianlian, et al. Estimating average tree height in Xixiaoshan forest farm, northeast China based on Sentinel-1 with Sentinel-2A data [J]. Chinese Journal of Applied Ecology, 2021, 32(8): 2840 − 2846. |
[8] |
MERMOZ S, RÉJOU-MÉCHAIN M, VILLARD L, et al. Decrease of L-band SAR backscatter with biomass of dense forests [J]. Remote Sensing of Environment, 2015, 159: 307 − 317. |
[9] |
潘磊, 孙玉军, 王轶夫, 等. 基于Sentinel-1和Sentinel-2数据的杉木林地上生物量估算[J]. 南京林业大学学报(自然科学版), 2020, 44(3): 150 − 157.
PAN Lei, SUN Yujun, WANG Yifu, et al. Estimation of aboveground biomass in a Chinese fir (Cunninghamia lanceolata) forest combining data of Sentinel-1 and Sentinel-2 [J]. Journal of Nanjing Forestry University Natural Sciences Edition, 2020, 44(3): 150 − 157. |
[10] |
PANDIT S, TSUYUKI S, DUBE T. Estimating above-ground biomass in sub-tropical buffer zone community forests, Nepal, using Sentinel 2 data [J/OL]. Remote Sensing, 2018, 10(4): 601[2022-11-01]. doi:10.3390/rs10040601. |
[11] |
DOBOS E, MONTANARELLA L, NÈGRE T, et al. A regional scale soil mapping approach using integrated AVHRR and DEM data [J]. International Journal of Applied Earth Observations &Geoinformation, 2001, 3(1): 30 − 42. |
[12] |
周蔚, 吕延杰, 林起楠. 联合光学和合成孔径雷达数据的太平湖森林地上生物量反演研究[J]. 西北林学院学报, 2023, 38(2): 193 − 200.
ZHOU Wei, LÜ Yanjie, LIN Qi’nan. Retrieval of above ground biomass in Taiping lake forests using optical and SAR dataset [J]. Journal of Northwest Forestry University, 2023, 38(2): 193 − 200. |
[13] |
CHEN Lin, REN Chunying, ZHANG Bai, et al. Estimation of forest above-ground biomass by geographically weighted regression and machine learning with sentinel imagery [J/OL]. Forests, 2018, 9(10): 582[2022-11-01]. doi: 10.3390/f9100582. |
[14] |
LIU Yanan, GONG Weishu, XING Yanqiu, et al. Estimation of the forest stand mean height and aboveground biomass in northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 151(5): 277 − 289. |
[15] |
CHEN Lin, WANG Yeqiao, REN Chunying, et al. Optimal combination of predictors and algorithms for forest above-ground biomass mapping from Sentinel and SRTM data [J/OL]. Remote Sensing, 2019, 11(4): 414[2022-11-01]. doi: 10.3390/rs11040414. |
[16] |
LAURIN G V, BALLING J, CORONA P, et al. Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data[J/OL]. Journal of Applied Remote Sensing, 2018, 12(1): 16008[2022-11-01]. doi: 10.1117/1.JRS.12.016008. |
[17] |
WEISS M, BARET F, JAY S. S2ToolBox Level 2 Products LAI, FAPAR, FCOVER [D]. Paris: Paris-Saclay University, 2016. |
[18] |
STATISTICS L B, BREIMAN L. Random forests [J]. Machine Learning, 2001, 45: 5 − 32. |
[19] |
GISLASON P O, BENEDIKTSSON J A, SVEINSSON J R. Random forests for land cover classification [J]. Pattern Recognition Letters, 2006, 27(4): 294 − 300. |
[20] |
DÍAZ-URIARTE R, de ANDRÉS S A. Gene selection and classification of microarray data using random forest [J]. BMC Bioinformatics, 2006, 7(1): 1 − 13. |
[21] |
VAFAEI S, SOOSANI J, ADELI K, et al. Improving accuracy estimation of forest aboveground biomass based on incorporation of ALOS-2 PALSAR-2 and Sentinel-2A imagery and machine learning: a case study of the Hyrcanian forest area (Iran) [J/OL]. Remote Sensing, 2018, 10(2): 172[2022-11-01]. doi: 10.3390/rs10020172. |
[22] |
ZHAO Panpan, LU Dengsheng, WANG Guanxing, et al. Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data [J]. International Journal of Applied Earth Observation and Geoinformation, 2016, 53: 1 − 15. |
[23] |
NAVARRO J A, ALGEET N, FERNÁNDEZ-LANDA A, et al. Integration of UAV, Sentinel-1, and Sentinel-2 data for mangrove plantation aboveground biomass monitoring in Senegal [J/OL]. Remote Sensing, 2019, 11(1): 77[2022-11-01]. doi: 10.3390/rs11010077. |
[24] |
MALENOVSKY Z, ROTT H, CIHLAR J, et al. Sentinels for science: potential of Sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land [J]. Remote Sensing of Environment, 2012, 120: 91 − 101. |
[25] |
WANG Jie, XIAO Xiangming, BAJGAIN R, et al. Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and landsat images [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 154: 189 − 201. |
[26] |
CHEN Yuyun, LI Longwei, LU Dengsheng, et al. Exploring bamboo forest aboveground biomass estimation using Sentinel-2 data [J/OL]. Remote Sensing, 2018, 11(1): 7[2022-11-01]. doi: 10.3390/rs11010007. |
[27] |
GUCCIONE P, LOMBARDI A, GIORDANO R. Assessment of seasonal variations of radar backscattering coefficient using Sentinel-1 data [C]// IEEE. 2016 IEEE International Geoscience and Remote Sensing Symposium. Beijing: IEEE. 2016: 3402 − 3405. |
[28] |
LAURIN G V, LIESENBERG V, CHEN Qi, et al. Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa [J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 21: 7 − 16. |
[29] |
PULLIAINEN J T, KURVONEN L, HALLIKAINEN M T. Multitemporal behavior of L-and C-band SAR observations of boreal forests [J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(2): 927 − 937. |