|
龚健雅. 人工智能时代测绘遥感技术的发展机遇与挑战. 武汉大学学报(信息科学版), 2018, 43 (12): 1788- 1796.
|
|
Gong J Y. Development opportunities and challenges of surveying and remote sensing technology in the age of artificial intelligence. Geomatics and Information Science of Wuhan University, 2018, 43 (12): 1788- 1796.
|
|
顾大形, 陈双林, 郑炜曼, 等. 竹子生态适应性研究综述. 竹子研究汇刊, 2010, 29 (1): 17- 23.
|
|
Gu D X, Chen S L, Zheng W M, et al. Review of the ecologicol adaptability of bamboo. Journal of Bamboo Research, 2010, 29 (1): 17- 23.
|
|
官凤英, 邓旺华, 范少辉. 毛竹林光谱特征及其与典型植被光谱差异分析. 北京林业大学学报, 2012, 34 (3): 31- 35.
|
|
Guan F Y, Deng W H, Fan S H. Spectral characteristics of Phyllostachys pubescens forests and spectral differences from typical vegetation. Journal of Beijing Forestry University, 2012, 34 (3): 31- 35.
|
|
国家林业和草原局. 2019. 中国森林资源报告(2014—2018). 北京: 中国林业出版社.
|
|
National Forestry and Grassland Administration. 2019. China forest resources report (2014−2018). Beijing: China Forestry Publishing House. [in Chinese]
|
|
国家林业和草原局. 2023. 2021中国林草生态综合监测评价报告. 北京: 中国林业出版社.
|
|
National Forestry and Grassland Administration. 2023. 2021 China forest and grassland ecological comprehensive monitoring and evaluation report. Beijing: China Forestry Publishing House. [in Chinese]
|
|
林兴稳, 闻建光, 吴胜标, 等. 地表反射率地形校正物理模型与效果评价方法研究进展. 遥感学报, 2020, 24 (8): 958- 974.
|
|
Lin X W, Wen J G, Wu S B, et al. Advances in physical models and evaluation methods for topographic correction of surface reflectance. Journal of Remote Sensing, 2020, 24 (8): 958- 974.
|
|
罗涟玲, 王修信, 农京辉, 等. 遥感图像林型纹理特征的ICA与SVM分类. 计算机工程与应用, 2012, 48 (13): 227- 229,239.
doi: 10.3778/j.issn.1002-8331.2012.13.048
|
|
Luo L L, Wang X X, Nong J H, et al. ICA and SVM classification of forest type texture features in remote sensing images. Computer Engineering and Applications, 2012, 48 (13): 227- 229,239.
doi: 10.3778/j.issn.1002-8331.2012.13.048
|
|
单博文, 李 祎, 石 雷, 等. 1960—2050年中国竹林区极端气候的时空变化. 林业科学, 2025, 61 (2): 50- 61.
doi: 10.11707/j.1001-7488.LYKX20220728
|
|
Shan B W, Li Y, Shi L, et al. Spatiotemporal change of the extreme climate in China’s bamboo forest during 1960—2050. Scientia Silvae Sinicae, 2025, 61 (2): 50- 61.
doi: 10.11707/j.1001-7488.LYKX20220728
|
|
孙晓艳, 杜华强, 韩 凝, 等. 面向对象多尺度分割的SPOT5影像毛竹林专题信息提取. 林业科学, 2013, 49 (10): 80- 87.
|
|
Sun X Y, Du H Q, Han N, et al. Object-oriented multi-scale segmentation for Phyllostachys pubescens information extraction from SPOT5 imagery. Scientia Silvae Sinicae, 2013, 49 (10): 80- 87.
|
|
田 宇. 2022. 基于生态环境效应约束的大庆市景观格局优化研究. 哈尔滨: 东北林业大学.
|
|
Tian Y. 2022. Research on landscape pattern optimization of Daqing City based on ecological environment effect constraints. Harbin: Northeast Forestry University. [in Chinese]
|
|
王李娟, 孔钰如, 杨小冬, 等. 基于特征优选随机森林算法的农耕区土地利用分类. 农业工程学报, 2020, 36 (4): 244- 250.
doi: 10.11975/j.issn.1002-6819.2020.04.029
|
|
Wang L J, Kong Y R, Yang X D, et al. Land use classification in agricultural areas based on feature selection and random forest algorithm. Transactions of the Chinese Society of Agricultural Engineering, 2020, 36 (4): 244- 250.
doi: 10.11975/j.issn.1002-6819.2020.04.029
|
|
严欣荣, 张美曼, 郑亚雄, 等. 基于Sentinel-2的丛生竹林信息提取方法比较及分布特征. 生态学杂志, 2020, 39 (3): 1056- 1066.
|
|
Yan X R, Zhang M M, Zheng Y X, et al. Comparison of extraction methods and distribution characteristics of clumping bamboo forests based on Sentinel-2. Chinese Journal of Ecology, 2020, 39 (3): 1056- 1066.
|
|
杨 丽, 李 祎, 单博文, 等. 竹林土壤碳储量的空间变异分析: 以四川长宁县为例. 生态学杂志, 2023, 42 (4): 854- 861.
|
|
Yang L, Li Y, Shan B W, et al. Spatial variation of soil organic carbon of bamboo forest: a case study in Changning County, Sichuan Province. Chinese Journal of Ecology, 2023, 42 (4): 854- 861.
|
|
姚茂林, 江 洪, 张丽玉. 基于Sentinel-2影像红边光谱指数与特征优选的竹林提取研究. 海南大学学报(自然科学版), 2022, 40 (4): 373- 381.
|
|
Yao M L, Jiang H, Zhang L Y. Bamboo forest extraction based on red-edge spectral indices and feature selection from Sentinel-2 imagery. Journal of Hainan University (Natural Science Edition), 2022, 40 (4): 373- 381.
|
|
郑容姝. 2003. 沿海沙地引种绿竹等竹子的抗盐抗旱机理研究. 福州: 福建农林大学.
|
|
Zheng R S. 2003. Study on the salt and drought resistance mechanism of introducing bamboo such as green bamboo into coastal sandy land. Fuzhou: Fujian Agriculture And Forestry University. [in Chinese]
|
|
周芳纯. 1998. 竹林培育学. 北京: 中国林业出版社.
|
|
Zhou F C. 1998. Bamboo forest cultivation. Beijing: China Forestry Publishing House. [in Chinese]
|
|
Abbas A M, Amanabo U H. Harnessing the economic and environmental benefits of bamboo in Nigeria. Alanya Academic Review, 2017, 1 (3): 39- 47.
|
|
Leo B. Random forests. Machine Learning, 2001, 45 (1): 5- 32.
doi: 10.1023/A:1010933404324
|
|
Li J F, Wang L Y, Liu S Q, et al. An automatic cloud detection model for Sentinel-2 imagery based on Google Earth Engine. Remote Sensing Letters, 2022, 13 (2): 196- 206.
doi: 10.1080/2150704X.2021.1988753
|
|
Li L, Li N, Lu D, et al. Mapping moso bamboo forest and its on-year and off-year distribution in a subtropical region using time-series Sentinel-2 and Landsat 8 data. Remote Sensing of Environment, 2019, 231, 111265.
doi: 10.1016/j.rse.2019.111265
|
|
Li M N, Li C C, Jiang H, et al. 2016. Tracking bamboo dynamics in Zhejiang, China, using time-series of Landsat data from 1990 to 2014. International Journal of Remote Sensing 37(7): 1714−1729.
|
|
Linderman M, Liu J, Qi J, et al. Using artificial neural networks to map the spatial distribution of understorey bamboo from remote sensing data. International Journal of Remote Sensing, 2004, 25 (9): 1685- 1700.
doi: 10.1080/01431160310001598971
|
|
Liu G, Li L, Gong H, et al. Multisource remote sensing imagery fusion scheme based on bidimensional empirical mode decomposition (BEMD) and its application to the extraction of bamboo forest. Remote Sensing, 2016, 9 (1): 19.
doi: 10.3390/rs9010019
|
|
McFeeters S K. The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 1996, 17 (7): 1425- 1432.
doi: 10.1080/01431169608948714
|
|
Nagler L P, Scott L R, Westenburg C, et al. Evapotranspiration on western U. S. rivers estimated using the enhanced vegetation index from MODIS and data from eddy covariance and Bowen ratio flux towers. Remote Sensing of Environment, 2005, 97 (3): 337- 351.
doi: 10.1016/j.rse.2005.05.011
|
|
Qi S, Bin Song, Liu C, et al. Bamboo forest mapping in China using the dense Landsat 8 image archive and Google Earth Engine. Remote Sensing, 2022, 14 (3): 762.
doi: 10.3390/rs14030762
|
|
Shoko C, Mutanga O. Examining the strength of the newly-launched Sentinel 2 MSI sensor in detecting and discriminating subtle differences between C3 and C4 grass species. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 129, 32- 40.
doi: 10.1016/j.isprsjprs.2017.04.016
|
|
Takeuchi W, Yasuoka Y. Development of normalized vegetation, soil and water indices derived from satellite remote sensing data. Journal of the Japan Society of Photogrammetry and Remote Sensing, 2005, 43 (6): 7- 19.
|
|
You S, Zheng Q, Lin Y, et al. Specific bamboo forest extraction and long-term dynamics as revealed by landsat time series stacks and Google Earth Engine. Remote Sensing, 2020, 12 (18): 3095.
doi: 10.3390/rs12183095
|