白尚斌, 周国模, 王懿祥, 等. 2012. 天目山国家级自然保护区毛竹扩散过程的林分结构变化研究. 西部林业科学, 41(1):77-82. (Bai S B, Zhou G M, Wang Y X, et al. 2012. Stand structure change of Phyllostachys pubescens forest expansion in Tianmushan national nature reserve. Journal of West China Forestry Science, 41(1):77-82.[in Chinese]) 崔凯. 2012. 基于遥感技术的作物物候监测方法及动态变化分析研究. 长沙:中南大学硕士学位论文. (Cui K. 2012. Monitoring of crop phenology with remote sensing and dynamic change analysis. Changsha:MS thesis of Central South University.[in Chinese]) 崔瑞蕊, 杜华强, 周国模, 等. 2011. 近30 a安吉县毛竹林动态遥感监测及碳储量变化研究. 浙江农林大学学报, 28(3):422-431. (Cui R R, Du H Q, Zhou G M, et al. 2011. Remote sensing-based dynamic monitoring of moso bamboo forest and its carbon stock change in Anji County. Journal of Zhejiang A & F University, 28(3):422-431.[in Chinese]) 陈先刚, 张一平, 张小全, 等. 2008. 过去50年中国竹林碳储量变化. 生态学报, 28(11):5218-5227. (Chen X G, Zhang Y P, Zhang X Q, et al. 2008. Carbon stock changes in bamboo stands in china over the last 50 years. Acta Ecologica Sinica, 28(11):5218-5227.[in Chinese]) 丁丽霞, 王祖良, 周国模, 等. 2006. 天目山国家级自然保护区毛竹林扩张遥感监测. 浙江林学院学报, 23(3):297-300. (Ding L X, Wang Z L, Zhou G M, et al. 2006. Monitoring Phyllostachys pubescens stands expansion in national nature reserve of Mount Tianmu by remote sensing. Journal of Zhejiang A & F University, 23(3):297-300.[in Chinese]) 董德进. 2011. 雷竹林遥感监测及其碳储量动态影响研究. 杭州:浙江农林大学硕士学位论文. (Dong D J. 2011. Remote sensing-based monitor Phyllostachys praecox forest and its dynamic of carbon stocks. Hangzhou:MS thesis of Zhejiang A & F University.[in Chinese]) 杜华强, 周国模, 葛宏立, 等. 2008. 基于TM数据竹林遥感信息提取方法研究. 东北林业大学学报, 36(3):35-38. (Du H Q, Zhou G M, Ge H L, et al. 2008. Bamboo information extraction based on Landsat TM data. Journal of Northeast Forestry University, 36(3):35-38.[in Chinese]) 杜华强, 周国模, 徐小军. 2012. 竹林生物量碳储量遥感定量估算. 北京:科学出版社. (Du H Q, Zhou G M, Xu X J. 2012. Quantitative methods using remote sensing in estimating biomass and carbon storage of bamboo forest. Beijing:Science Press.[in Chinese]) 刘旭升. 2004. 基于人工神经网络的森林植被遥感的分类研究. 北京:北京林业大学硕士学位论文. (Liu X S. 2004. Remote sensing classification of forest vegetation based on artificial neural network. Beijing:MS Thesis of Beijing Forestry University.[in Chinese]) 梅安新, 彭望琭, 秦其明, 等. 2001. 遥感导论. 北京:高等教育出版社. (Mei A X, Peng W L, Qin Q M, et al. 2001. Introduction to remote sensing. Beijing:China Higher Education Press.[in Chinese]) 商珍珍. 2012. 基于多源遥感毛竹林信息提取及地上部分碳储量估算研究. 杭州:浙江农林大学硕士学位论文. (Shang Z Z. 2012. Moso bamboo forest extraction and AGC estimation based on multi-source remote sensor images. Hangzhou:MS Thesis of Zhejiang A & F University.[in Chinese]) 施拥军. 2003. 森林遥感分类技术研究-以浙西北山区为例. 杭州:浙江大学硕士学位论文. (Shi Y J. 2003. Research on technologies of forest classification by remote sensing -a case study of northwest mountainous area in Zhejiang. Hangzhou:MS thesis of Zhejiang University.[in Chinese]) 王秀兰, 包玉海. 1998. 土地利用动态变化研究方法探讨. 地理科学进展, 18(1):81-87. (Wang X L, Bao Y H. 1998. Study on the methods of land use dynamic change research. Progress in Geography, 18(1):81-87.[in Chinese]) 王颖洁, 刘良云, 王志慧. 2015. 基于时序Landsat数据的三江平原植被地表类型变化遥感探测研究. 遥感技术与应用, 30(5):959-968. (Wang Y J, Liu L Y, Wang Z H. 2015. Land cover mapping based on Landsat time-series stacks in Sanjiang plain. Remote Sensing Technology and Application, 30(5):959-968.[in Chinese]) 朱会义,李秀彬. 2003. 关于区域土地利用变化指数模型方法的讨论. 地理学报, 58(5):643-650. (Zhu H Y, Li X B. 2003. Discussion on the index method of regional land use change. Acta Geographica Sinica, 58(5):643-650.[in Chinese]) Cai B F, Yu R. 2009. Advance and evaluation in the long time series vegetation trends research based on remote sensing. Journal of Remote Sensing, 13(6):1170-1186. Chen X G, Zhang X Q, Zhang Y P, et al. 2009. Changes of carbon stocks in bamboo stands in China during 100 years. Forest Ecology and Management, 258(7):1489-1496. Congalton R G, Green K. 1998. Assessing the accuracy of remotely sensed data:principles and practices. Lewis Publishers:Boca Raton, FL, USA. Du H Q, Zhou G M, Fan W Y, et al. 2010. Spatial heterogeneity and carbon contribution of aboveground biomass of moso Bamboo by using geostatistical theory. Plant Ecology, 207(1):131-139. Lei X D, Peng C H, Tian D L, et al. 2007. Meta-analysis and its application in global change research. Chinese Science Bulletin, 52(3):289-299. Li P H, Zhou G M, Du H Q, et al. 2015. Current and potential carbon stocks in moso bamboo forest in China. Journal of Environmental Management, 156:89-96. Los S O, Justice C O, Tucker C J. 1994. A global 1 by 1 degree NDVI data set for climate studies derived from the GIMMS continental NDVI data. International Journal of Remote Sensing, 15(17):3493-3518. Han N, Du H Q, Zhou G M, et al. 2013. Spatiotemporal heterogeneity of Moso bamboo aboveground carbon storage with Landsat Thematic Mapper images. International Journal of Remote Sensing, 34(14):4917-4932. Han N, Du H Q, Zhou G M, et al. 2014. Object-based classification using SPOT5 imagery for moso bamboo forest mapping. International Journal of Remote Sensing, 35(3):1126-1142. Mao F J, Zhou G M, Li P H, et al. 2017. Optimizing selective cutting strategies for maximum carbon stocks and yield of moso bamboo forest using BIOME-BGC model. Journal of Environment Management, 191:126-135. Ying W, Jin J, Jiang H, et al. 2016. Satellite-based detection of bamboo expansion over the past 30 years in Mount Tianmushan, China. International Journal of Remote Sensing, 37(13):2908-2922. |