[1]
|
Akhtar F, Awan U K, Tischbein B, 2017. A phenology based geo-informatics approach to map land use and land cover (2003-2013) by spatial segregation of large heterogenic river basins. Applied Geography, 88:48-61. doi: org/10.1016/j.apgeog.2017.09.003 |
[2]
|
Du P J, Xia J S, Zhang W et al., 2012. Multiple classifier system for remote sensing image classification:a review. Sensors, 12(4):4764-4792. doi: 10.3390/s120404764 |
[3]
|
Fang Chuanglin, 2017. The strategy and pattern of international economic cooperation in Tumen River area of China under the ‘the Belt and Road’. Northeast Asia Economic Research, 1(1):5-14. (in Chinese) |
[4]
|
Grant J A, Quinn M S, 2007. Factors influencing transboundary wildlife management in the North American ‘Crown of the Continent’. Journal of Environmental Planning and Manage-ment, 50(6):765-782. doi: 10.1080/09640560701609323 |
[5]
|
Guo X Y, Zhang H Y, Wang Y Q et al., 2015. Mapping and as-sessing typhoon-induced forest disturbance in Changbai Mountain National Nature Reserve using time series Landsat imagery. Journal of Mountain Science, 12(2):404-416. doi: 10.1007/s11629-014-3206-y |
[6]
|
Hansen M C, Loveland T R, 2012. A review of large area moni-toring of land cover change using Landsat data. Remote Sensing of Environment, 122(1):66-74. doi:10.1016/j.rse.2011. 08.024 |
[7]
|
He C Y, Liu Z F, Tian J et al., 2014. Urban expansion dynamics and natural habitat loss in China:a multiscale landscape per-spective. Global Change Biology, 20(9):2886-2902. doi: 10.1111/gcb.12553 |
[8]
|
Huang Qingxu, He Chunyang, Shi Peijun et al., 2009. Under-standing multi-scale urban expansion driving forces:in the case study of Beijing. Economic Geography, 29(5):714-721. (in Chinese) |
[9]
|
Kashaigili J J, Majaliwa A M, 2010. Integrated assessment of land use and cover changes in the Malagarasi river catchment in Tanzania. Physics and Chemistry of the Earth, Parts A/B/C, 35(13-14):730-741. doi: 10.1016/j.pce.2010.07.030 |
[10]
|
Li B, Liu Z F, Nan Y et al., 2018. Comparative analysis of urban heat island intensities in Chinese, Russian, and DPRK regions across the transnational urban agglomeration of the Tumen River in Northeast Asia. Sustainability, 10(8):2637. doi: 10.3390/su10082637 |
[11]
|
Ma Q, He C Y, Wu J G, 2016. Behind the rapid expansion of ur-ban impervious surfaces in China:major influencing factors revealed by a hierarchical multiscale analysis. Land Use Policy, 59:434-445. doi: 10.1016/j.landusepol.2016.09.012 |
[12]
|
Ma Q, He C Y, Wu J G et al., 2014. Quantifying spatiotemporal patterns of urban impervious surfaces in China:an improved assessment using nighttime light data. Landscape and Urban Planning, 130:36-49. doi:10.1016/j.landurbplan.2014. 06.009 |
[13]
|
Ma Q, Wu J G, He C Y et al., 2018. Spatial scaling of urban im-pervious surfaces across evolving landscapes:from cities to urban regions, Landscape and Urban Planning, 175:50-61. doi: 10.1016/j.landurbplan.2018.03.010 |
[14]
|
Mao D H, Wang Z M, Wu J G et al., 2018. China's wetlands loss to urban expansion. Land Degradation & Development, 29:2644-2657. |
[15]
|
Nan Ying, Ji Zhe, Dong Yehui et al., 2012. Study of land use/cover dynamic change in Tumen River across national border region during the last 30 years. Journal of Natural Science of Hunan Normal University, 35(1):82-89. (in Chinese) |
[16]
|
Pelorosso R, Leone A, Boccia L, 2009. Land cover and land use change in the Italian central Apennines:a comparison of as-sessment methods. Applied Geography, 29(1):35-48. doi:10. 1016/j.apgeog.2008.07.003 |
[17]
|
Prishchepov A V, Müller D, Dubinin M et al., 2013. Determinants of agricultural land abandonment in post-Soviet European Russia. Land Use Policy, 30(1):873-884. doi: 10.1016/j.landusepol.2012.06.011 |
[18]
|
Sun Q L, Feng X F, Ge Y et al., 2015. Topographical effects of climate data and their impacts on the estimation of net primary productivity in complex terrain:a case study in Wuling Mountainous area, China. Ecological Informatics, 27(27):44-54. doi: 10.1016/j.ecoinf.2015.02.003 |
[19]
|
Tao H, Nan Y, Liu Z F et al., 2017. Spatiotemporal patterns of forest in the transnational area of Changbai Mountain from 1977 to 2015:a comparative analysis of the Chinese and DPRK sub-regions. Sustainability, 9(6):1054. doi: 10.3390/su9061054 |
[20]
|
Tuia D, Ratle F, Pacifici F et al., 2009. Active learning methods for remote sensing image classification. IEEE Transactions on Geoscience and Remote Sensing, 47(7):2218-2232. doi: 10.1109/TGRS.2008.2010404 |
[21]
|
Tuia D, Volpi M, Copa L et al., 2011. A survey of active learning algorithms for supervised remote sensing image classification. IEEE Journal of Selected Topics in Signal Processing, 5(3):606-617. doi: 10.1109/JSTSP.2011.2139193 |
[22]
|
Verburg P H, Neumann K, Nol L, 2011. Challenges in using land use and land cover data for global change studies. Global Change Biology, 17(2):974-989. doi:10.1111/j.1365-2486. 2010.023.07.x |
[23]
|
Wang J W, Zhang D, Nan Y et al., 2020. Spatial patterns of net primary productivity and its driving forces:a multi-scale anal-ysis in the transnational area of the Tumen River. Frontiers of Earth Science, 14(1):124-139. doi: 10.1007/s11707-019-0759-7 |
[24]
|
Wang N H, Brown D G, An L et al., 2013. Comparative perfor-mance of logistic regression and survival analysis for detecting spatial predictors of land-use change. International Journal of Geographical Information Science, 27(10):1960-1982. doi: 10.1080/13658816.2013.779377 |
[25]
|
Wu J G, 2004. Effects of changing scale on landscape pattern analysis:scaling relations. Landscape Ecology, 19(2):125-138. doi: 10.1023/B:LAND.0000021711.40074.ae |
[26]
|
Wu J G, 2013. Landscape sustainability science:ecosystem ser-vices and human well-being in changing landscapes. Landscape Ecology, 28(6):999-1023. doi: 10.1007/s10980-013-9894-9 |
[27]
|
Wu Jianguo, Guo Xiaochuan, Yang Jie et al., 2014. What is sus-tainability science? Chinese Journal of Applied Ecology, 25(1):1-11. (in Chinese) |
[28]
|
Wu L, Deng F, Xie Z et al., 2016. Spatial analysis of severe fever with thrombocytopenia syndrome virus in China using a geo-graphically weighted logistic regression model. International Journal of Environmental Research and Public Health, 13(11):1125. doi: 10.3390/ijerph13111125 |
[29]
|
Wu Xue, Gao Jungang, Zhang Yili et al., 2017. Land cover status in the Koshi River Basin, Central Himalayas. Journal of Re-sources and Ecology, 8(1):10-19. doi: 10.5814/j.issn.1674-764x.2017.01.003 |
[30]
|
Yang Y M, Zhang D, Nan Y et al., 2019. Modeling urban expan-sion in the transnational area of Changbai Mountain:a scenario analysis based on the zoned Land Use Scenario Dynam-ics-urban model. Sustainable Cities and Society, 50:101622. doi: 10.1016/j.scs.2019.101622 |
[31]
|
Ye Baoying, Huang Fang, Zhang Shuwen et al., 2001. The driving forces of land use/cover change in the upstream area of the Nenjiang River. Chinese Geographical Science, 11(4):377-377. doi: 10.1007/s11769-001-0054-9 |
[32]
|
Zhang D, Huang Q X, He C Y et al., 2017. Impacts of urban ex-pansion on ecosystem services in the Beijing-Tianjin-Hebei urban agglomeration, China:a scenario analysis based on the Shared Socioeconomic Pathways. Resources, Conservation and Recycling, 125:115-130. doi:10.1016/j.resconrec.2017. 06.003 |
[33]
|
Zhang D, Huang Q X, He C Y et al., 2019. Planning urban land-scape to maintain key ecosystem services in a rapidly urbanizing area:a scenario analysis in the Beijing-Tianjin-Hebei urban agglomeration, China. Ecological Indicators, 96:559-571. doi: 10.1016/j.ecolind.2018.09.030 |
[34]
|
Zhang X P, Zhang L, Zhao J et al., 2008. Responses of streamflow to changes in climate and land use/cover in the Loess Plateau, China. Water Resources Research, 44(7):W00A07. doi: 10.1029/2007WR006711 |
[35]
|
Zhou W Q, Troy A, Grove M, 2008. Object-based land cover classification and change analysis in the Baltimore metropolitan area using multitemporal high resolution remote sensing data. Sensors, 8(3):1613-1636. doi: 10.3390/s8031613 |
[36]
|
Zhu Weihong, Guo Yanli, Sun Peng et al., 2012. Wetland ecosys-tem health assessment of the Tumen River downstream. Acta Ecologica Sinica, 32(21):6609-6618. (in Chinese) |
[37]
|
Zhu Weihong, Miao Chengyu, Zheng Xiaojun et al., 2014. Study on ecological safety evaluation and warning of wetlands in Tumen River watershed based on 3S technology. Acta Eco-logica Sinica, 34(6):1379-1390. (in Chinese) |