Citation: | LI Bo, LI Bin, YANG Hong-ze. Preliminary studies on the functional and structural design of forest fire helmet[J]. Journal of Beijing Forestry University, 2010, 32(6): 155-158. |
[1] | Yan Jin, Zhou Xiaocheng, Huang Tingting, Le Tongchao, Wang Yongrong, Wu Shanqun. Evaluation of forest ecological quality in coastal zone counties of Fujian Province, eastern China based on multi-source remote sensing data[J]. Journal of Beijing Forestry University, 2024, 46(5): 12-25. DOI: 10.12171/j.1000-1522.20230200 |
[2] | Luo Youqing, Liu Yujie, Huang Huaguo, Yu Linfeng, Ren Lili. Pathway and method of forest health assessment using remote sensing technology[J]. Journal of Beijing Forestry University, 2021, 43(9): 1-13. DOI: 10.12171/j.1000-1522.20210107 |
[3] | Chen Jidai, Niu Shukui. Classification and change analysis of forest fuels by multi-temporal high resolution remote sensing images[J]. Journal of Beijing Forestry University, 2018, 40(12): 38-48. DOI: 10.13332/j.1000-1522.20180269 |
[4] | HE You-yun, ZHANG Yu-bo, LI Jun-qing, WANG Juan-le. Estimation of stem biomass of individual Abies faxoniana through unmanned aerial vehicle remote sensing[J]. Journal of Beijing Forestry University, 2016, 38(5): 42-49. DOI: 10.13332/j.1000-1522.20150383 |
[5] | WANG Xue-jun, MA Wei, HUANG Guo-sheng, CHEN Xin-yun, DANG Yong-feng.. Estimation of forest area by large plot interpretation and division based on remote sensing.[J]. Journal of Beijing Forestry University, 2015, 37(11): 1-9. DOI: 10.13332/j.1000-1522.20150083 |
[6] | LI Shi-ming, WANG Zhi-hui, HAN Xue-wen, JIA Ke4. Overview of forest resources change detection methods using remote sensing techniques.[J]. Journal of Beijing Forestry University, 2011, 33(3): 132-138. |
[7] | LIU Jian, YU Kun-yong, HONG Zhen-hua, LAI Ri-wen, MENG Xian-yu, LAI Mei-fei, L Heng-bin. Retrieval and dynamical monitor of suspended sediment by remote sensing data.[J]. Journal of Beijing Forestry University, 2008, 30(增刊1): 94-97. |
[8] | FU Xiao, WANG Xue-jun, HAN Ai-hui, FENG Zhong-ke. Dynamic monitoring and analysis of eucalyptus resources in pulp origin place based on remote sensing.[J]. Journal of Beijing Forestry University, 2008, 30(增刊1): 89-93. |
[9] | WANG Jia, , XIONG Ni-na, DONG Bin, YAN Xiu-jing, SUI Hong-da, FENG Zhong-ke. Land-use and landscape pattern changes in Beijing in recent 20 years based on remote sensing.[J]. Journal of Beijing Forestry University, 2008, 30(增刊1): 83-88. |
[10] | DU Hua-qiang, FAN Wen-yi, ZHAO Xian-wen, WANG Xue. Fractal and geo-statistic analysis software system for remote sensing data based on Matlab[J]. Journal of Beijing Forestry University, 2005, 27(5): 92-97. |
1. |
刘兴良,刘杉,蔡蕾,李旭华,徐峥静茹,潘红丽,冯秋红,张利,刘千里. 中国天然次生林研究动态及其进展. 四川林业科技. 2022(01): 1-11 .
![]() | |
2. |
尤海舟,毕君,王超,任启文,李联地. 河北小五台山不同海拔白桦林土壤有机碳密度分布特征及影响因素. 生态环境学报. 2018(03): 432-437 .
![]() | |
3. |
任继勤,夏景阳. 基于碳密度-林龄关系的黑龙江省森林碳汇潜力预测. 环境科学研究. 2017(04): 552-558 .
![]() | |
4. |
毕君,王超,尤海舟. 基于温室气体清单的河北省森林碳汇量研究. 生态科学. 2016(04): 113-118 .
![]() | |
5. |
郑瞳,牟长城,张毅,李娜娜. 立地类型对张广才岭天然白桦林生态系统碳储量的影响. 生态学报. 2016(19): 6284-6294 .
![]() | |
6. |
张毅,牟长城,郑曈,李娜娜. 小兴安岭天然白桦林生态系统碳储量. 北京林业大学学报. 2015(04): 38-47 .
![]() | |
7. |
李娜娜,牟长城,郑瞳,张毅,程家友,曹万亮. 立地类型对长白山天然白桦林生态系统碳储量的影响. 林业科学研究. 2015(05): 618-626 .
![]() | |
8. |
韩营营,黄唯,孙涛,陆彬,毛子军. 不同林龄白桦天然次生林土壤碳通量和有机碳储量. 生态学报. 2015(05): 1460-1469 .
![]() | |
9. |
刘群舫. 燕山山地山杨天然次生林的碳汇量研究. 河北林业科技. 2013(04): 15-17 .
![]() | |
10. |
孙宝刚,陈飞,王健敏,陈晓鸣,杨子祥,蔡学勇,李彬. 不同径级云南松各部位生物量及其分布规律. 林业科学研究. 2012(01): 71-76 .
![]() | |
11. |
贾彦龙,许中旗,纪晓林,徐学华,黄选瑞. 燕山北部山地人工林和天然次生林的生物碳贮量. 自然资源学报. 2012(07): 1241-1251 .
![]() | |
12. |
毕君,王超,李联地,史靖. 基于IPCC的河北省2005年森林碳储量. 东北林业大学学报. 2011(12): 36-38 .
![]() |