[1] Howard P C, Davenport T R B, Kigenyi F W, et al. Protected area planning in the tropics: Uganda’s national system of forest nature reserves[J]. Conservation Biology, 2000, 14(3): 858−875. doi:  10.1046/j.1523-1739.2000.99180.x
[2] Radeloff V C, Stewart S I, Hawbaker T J, et al. Housing growth in and near United States protected areas limits their conservation value[J]. Proceedings of the National Academy of Sciences USA, 2010, 107(2): 940−945. doi:  10.1073/pnas.0911131107
[3] Stein B A, Scott C, Benton N. Federal lands and endangered species: the role of military and other federal lands in sustaining biodiversity[J]. Bioscience, 2008, 58: 339−347. doi:  10.1641/B580409
[4] Millennium Ecosystem Assessment Board. Ecosystems and human well-being[M]. Washington: Island Press, 2003.
[5] Maiorano L, Falcucci A, Boitani L. Size-dependent resistance of protected areas to land-use change[J]. Proceedings of the Royal Society B: Biological Sciences, 2008, 275: 1297−1304. doi:  10.1098/rspb.2007.1756
[6] Heenkenda M K, Joyce K E, Maier S W, et al. Mangrove species identification: comparing WorldView-2 with aerial photographs[J]. Remote Sensing, 2014, 6(7): 6064−6088. doi:  10.3390/rs6076064
[7] Sun Z C, Leinenkugel P, Guo H D, et al. Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method[J/OL]. Journal of Applied Remote Sensing, 2017, 11(2): 026011[2019−03−11]. http://doi:10.1117/1.JRS.11.026011" target="_blank">10.1117/1.JRS.11.026011">http://doi:10.1117/1.JRS.11.026011.
[8] 郝泷, 陈永富, 刘华, 等. 基于纹理信息CART决策树的林芝县森林植被面向对象分类[J]. 遥感技术与应用, 2017, 32(2):386−394.

Hao S, Chen Y F, Liu H, et al. Object-oriented forest classification of Linzhi County based on CART decision tree with texture information[J]. Remote Sensing Technology and Application, 2017, 32(2): 386−394.
[9] 雷光斌, 李爱农, 谭剑波, 等. 基于多源多时相遥感影像的山地森林分类决策树模型研究[J]. 遥感技术与应用, 2016, 31(1):31−41.

Lei G B, Li A N, Tan J B, et al. Forest type mapping in mountainous area using multisource and multi-temporal satellite images and decision tree models[J]. Remote Sensing Technology and Application, 2016, 31(1): 31−41.
[10] 钱军朝, 徐丽华, 邱布布, 等. 基于WorldView-2影像数据对杭州西湖绿地信息提取研究[J]. 西南林业大学学报, 2017, 37(4):156−166.

Qian J C, Xu L H, Qiu B B, et al. Extraction of urban green space based on WorldView-2 images in West Lake District of Hangzhou[J]. Journal of Southwest Forestry University, 2017, 37(4): 156−166.
[11] Rouse J W J, Haas R H, Schell J A, et al. Monitoring vegetation systems in the Great Plains with ERTS[J]. Nasa Special Publication, 1974, 351: 309−314.
[12] Gao B C. NDWI: a normalized difference water index for remote sensing of vegetation liquid water from space[J]. Remote Sensing of Environment, 1996, 58(3): 357−366.
[13] 蔡耀君, 华璀, 卢远. 峰丛洼地农作物面向对象信息提取规则集[J]. 遥感信息, 2018, 34(10):245−252.

Cai Y J, Hua C, Lu Y. Rules for crop extraction on peak cluster of karst area using object-oriented classification technology[J]. Remote Sensing Information, 2018, 34(10): 245−252.
[14] 潘琛, 杜培军, 张海荣. 决策树分类算法及其在遥感图像处理中的应用[J]. 测绘科学, 2008, 33(1):208−211. doi:  10.3771/j.issn.1009-2307.2008.01.065

Pan C, Du P J, Zhang H R. Decision tree classification and its application in processing of remote sensing mages[J]. Science of Surveying and Mapping, 2008, 33(1): 208−211. doi:  10.3771/j.issn.1009-2307.2008.01.065
[15] Breiman L, Friedman J B, Stone C J, et al. Classification and regression tree[M]. Boca Raton F L: Chapman & Hall/CRC, 1984.
[16] 周志华. 机器学习[M]. 北京: 清华大学出版社, 2016.

Zhou Z H. Machine learning[M]. Beijing: Tsinghua University Press, 2016.
[17] 陈云, 戴锦芳, 李俊杰. 基于影像多种特征的CART决策树分类方法及应用[J]. 地理与地理信息科学, 2008, 24(2):33−36.

Chen Y, Dai J F, Li J J. CART-based decision tree classifier using multi-feature of image and its application[J]. Geography and Geo-Information of Science, 2008, 24(2): 33−36.
[18] 马宇龙, 林志垒. 基于面向对象和CART决策树方法的遥感影像湿地变化检测研究: 以龙祥岛地区为例[J]. 福建师范大学学报(自然科学版), 2017, 33(6):69−80.

Ma Y L, Dai Z L. Wetland change detection based on object-oriented and CART decision tree method[J]. Journal of Fujian Normal University (Natural Science Edition), 2017, 33(6): 69−80.
[19] 孙建伟, 王超, 王娜, 等. 基于CART决策树的ZY-3卫星遥感数据土地利用分类监测[J]. 华中师范大学学报(自然科学版), 2016, 50(6):937−943.

Sun J W, Wang C, Wang N, et al. Research on land use classification monitoring through the remote sensing data of ZY-3 satellite based on CART decision tree[J]. Journal of Central China Normal University (Natural Science Edition), 2016, 50(6): 937−943.
[20] 张小平, 曹卫彬, 刘姣娣. 基于遥感影像的棉花种植面积提取方法研究[J]. 安徽农业科学, 2011, 39(7):4226−4228, 4297. doi:  10.3969/j.issn.0517-6611.2011.07.172

Zhang X P, Cao W B, Liu J D. Study on the extraction method for cotton-growing area based on remote sensing image[J]. Journal of Anhui Agriculture Science, 2011, 39(7): 4226−4228, 4297. doi:  10.3969/j.issn.0517-6611.2011.07.172
[21] 陈天博, 胡卓玮, 魏铼, 等. 无人机遥感数据处理与滑坡信息提取[J]. 地球信息科学, 2017, 19(5):692−701.

Chen T B, Hu Z W, Wei L, et al. Data processing and landslide information extraction based on UAV remote sensing[J]. Journal of Geo-information Science, 2017, 19(5): 692−701.
[22] 李晓红, 陈尔学, 李增元, 等. 综合应用多源遥感数据的面向对象土地覆盖分类方法[J]. 林业科学, 2018, 54(2):68−80. doi:  10.11707/j.1001-7488.20180208

Li X H, Chen E X, Li Z Y, et al. Object based land cover classification method integrating multi-source remote sensing data[J]. Scientia Silvae Sinicae, 2018, 54(2): 68−80. doi:  10.11707/j.1001-7488.20180208
[23] 魏晶昱, 毛学刚, 方本煜, 等. 基于Landsat 8 OLI辅助的亚米级遥感影像树种识别[J]. 北京林业大学学报, 2016, 38(11):23−33.

Wei J Y, Mao X G, Fang B Y, et al. Submeter remote sensing image recognition of trees based on Landsat 8 OLI support[J]. Journal of Beijing Forestry University, 2016, 38(11): 23−33.