[1] Alberti, M., 2005: The effects of urban patterns on ecosystem function. Int. Regional Sci. Rev., 28, 168–192. doi: 10.1177/0160017605275160
[2] Badreldin, N., and R. Goossens, 2015: A satellite-based disturbance index algorithm for monitoring mitigation strategies effects on desertification change in an arid environment. Mitig. Adapt. Strateg. Glob. Change, 20, 263–276. doi: 10.1007/s11027-013-9490-y
[3] Cao, L., H. W. Hu, X. L. Meng, et al., 2011: Relationships between land surface temperature and key landscape elements in urban area. Chinese J. Ecol., 30, 2329–2334. (in Chinese) doi: 10.13292/j.1000-4890.2011.0317
[4] Chander, G., B. L. Markham, and D. L. Helder, 2009: Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sens. Environ., 113, 893–903. doi: 10.1016/j.rse.2009.01.007
[5] Chen, Q., Y. H. Chen, M. J. Wang, et al., 2015: Ecosystem quality comprehensive evaluation and change analysis of Dongting Lake in 2001−2010 based on remote sensing. Acta Ecol. Sinica, 35, 4347–4356. (in Chinese) doi: 10.5846/stxb201403250557
[6] Daramola, M. T., E. O. Eresanya, and K. A. Ishola, 2018: Assessment of the thermal response of variations in land surface around an urban area. Mod. Earth Syst. Environ., 4, 535–553. doi: 10.1007/s40808-018-0463-8
[7] Flombaum, P., L. Yahdjian, and O. E. Sala, 2017: Global-change drivers of ecosystem functioning modulated by natural variability and saturating responses. Global Change Biol., 23, 503–511. doi: 10.1111/gcb.13441
[8] Gupta, K., P. Kumar, S. K. Pathan, et al., 2012: Urban neighborhood green index—A measure of green spaces in urban areas. Landsc. Urban Plan., 105, 325–335. doi: 10.1016/j.landurbplan.2012.01.003
[9] Han, X. Z., S. M. Li, and F. L. Dou, 2012: Study of obtaining high resolution near-surface atmosphere temperature by using the land surface temperature from meteorological satellite data. Acta Meteor. Sinica, 70, 1107–1118. (in Chinese) doi: 10.11676/qxxb2012.093
[10] Hillger, D. W., and G. P. Ellrod, 2003: Detection of important atmospheric and surface features by employing principal component image transformation of GOES imagery. J. Appl. Meteor., 42, 611–629. doi: 10.1175/1520-0450(2003)042<0611:DOIAAS>2.0.CO;2
[11] Ivits, E., M. Cherlet, W. Mehl, et al., 2009: Estimating the ecological status and change of riparian zones in Andalusia assessed by multi-temporal AVHHR datasets. Ecol. Indic., 9, 422–431. doi: 10.1016/j.ecolind.2008.05.013
[12] Jiang, T., X. C. Li, Q. C. Chao, et al., 2014: Highlights and understanding of climate change 2014: Impacts, adaptation, and vulnerability. Climate Change Res., 10, 157–166. (in Chinese) doi: 10.3969/j.issn.1673-1719.2014.03.001
[13] Jiang, X. D., Y. Liu, and B. C. Xia, 2003: Global climate change and its impact on ecosystems. Sun Yatsen Univ. Forum, 23, 258–262. (in Chinese) doi: 10.3969/j.issn.1674-3202.2003.05.066
[14] Ke, R. P., and Z. X. Mei, 2010: Analysis on the influence of urbanization and greenland-degradation on city thermal environment. Ecol. Environ., 19, 2023–2030. (in Chinese) doi: 10.3969/j.issn.1674-5906.2010.09.002
[15] Li, B. L., C. P. Ti, and X. Y. Yan, 2016: Study of derivation of tasseled cap transformation for Landsat 8 OLI images. Sci. Surv. Mapp., 41, 102–107. (in Chinese) doi: 10.16251/j.cnki.1009-2307.2016.04.021
[16] Li, G. Y., S. Chen, C. Yu, et al., 2014: Spatial and temporal variation characteristics of forest biomass in south Jiangsu during the nearly twenty years. Ecol. Environ. Sci., 23, 1102–1107. (in Chinese) doi: 10.3969/j.issn.1674-5906.2014.07.002
[17] Li, Z., and J. H. Pan, 2018: Spatiotemporal changes in vegetation net primary productivity in the arid region of Northwest China, 2001 to 2012. Front. Earth Sci., 12, 108–124. doi: 10.1007/s11707-017-0621-8
[18] Lu, C. Y., Z. M. Wang, M. Y. Liu, et al., 2015: Analysis of conservation effectiveness of wetland protected areas based on remote sensing in West Songnen Plain. China Environ. Sci., 35, 599–609. (in Chinese)
[19] Luo, C., H. Liu, and L. Y. Qi, 2014: Ecological changes assessment based on remote sensing indices: A case study of Changning City. Remote Sens. for Land & Rsrc., 26, 145–150. (in Chinese) doi: 10.6046/gtzyyg.2014.04.23
[20] Ma, D. M., H. Jiang, S. R. Liu, et al., 2006: The preliminary analysis of forest ecosystem site index using remote sensed data. Acta Ecol. Sinica, 26, 2810–2816. (in Chinese) doi: 10.3321/j.issn:1000-0933.2006.09.005
[21] Murray, N. J., D. A. Keith, L. M. Bland, et al., 2018: The role of satellite remote sensing in structured ecosystem risk assessments. Sci. Total Environ., 619-620, 249–257. doi: 10.1016/j.scitotenv.2017.11.034
[22] Nichol, J., 2005: Remote sensing of urban heat islands by day and night. Photogramm. Eng. Remote Sens., 71, 613–621. doi: 10.14358/PERS.71.5.613
[23] Ochoa-Gaona, S., C. Kampichler, B. H. J. De Jong, et al., 2010: A multi-criterion index for the evaluation of local tropical forest conditions in Mexico. Forest Ecol. Manag., 260, 618–627. doi: 10.1016/j.foreco.2010.05.018
[24] Pan, Y., L. L. Cui, C. M. Liu, et al., 2018: Spatiotemporal distribution of urban heat Island effect based on MODIS data in Chongqing, China. Chinese J. Ecol., 37, 3736–3745. (in Chinese) doi: 10.13292/j.1000-4890.201812.039
[25] Schmidt, D. N., 2018: Determining climate change impacts on ecosystems: The role of palaeontology. Palaeontology, 61, 1–12. doi: 10.1111/pala.12335
[26] Sobrino, J. A., Jiménez-Muñoz J. C., and L. Paolini, 2004: Land surface temperature retrieval from LANDSAT TM 5. Remote Sens. Environ., 90, 434–440. doi: 10.1016/j.rse.2004.02.003
[27] Song, H. M., and L. Xue, 2016: Dynamic monitoring and analysis of ecological environment in Weinan City, Northwest China based on RSEI model. Chinese J. Appl. Ecol., 27, 3913–3919. (in Chinese) doi: 10.13287/j.1001-9332.201612.024
[28] Su, B. D., T. F. Wang, and Y. Z. Yin, 2014: Interpretation of the IPCC fifth assessment report on detection and attribution of observed impacts. Climate Change Res., 10, 203–207. (in Chinese) doi: 10.3969/j.issn.1673-1719.2014.03.008
[29] Sullivan, C. A., M. S. Skeffington, M. J. Gormally, et al., 2010: The ecological status of grasslands on lowland farmlands in western Ireland and implications for grassland classification and nature value assessment. Biol. Conserv., 143, 1529–1539. doi: 10.1016/j.biocon.2010.03.035
[30] Sun, P. J., and S. B. Ding, 2011: Spatial differentiation on Northeast China urbanization based on the perspective of population−economy−space. Econ. Geogr., 31, 1094–1100. (in Chinese) doi: 10.15957/j.cnki.jjdl.2011.07.007
[31] Wang, H., X. N. Chen, and W. P. Xu, 2013: Application study of atmospheric correction on multi-spectrum remote sensing image based on 6S model. J. Geom., 38, 49–51, 54. (in Chinese) doi: 10.14188/j.2095-6045.2013.05.006
[32] Wang, X. K., 2013: Urban ecosystem: Evolution, service and evaluation—Preface to the topic of “urban ecosystem research”. Acta Ecol. Sinica, 33, 2321. (in Chinese)
[33] Wu, S. H., Y. H. Yin, D. S. Zhao, et al., 2010: Impact of future climate change on terrestrial ecosystems in China. Int. J. Climatol., 30, 866–873. doi: 10.1002/joc.1938
[34] Xiao, P., and J. Su, 2019: An empirical analysis on the effect of urbanization on eco-environmental quality—Taking Dongting Lake region as an example. Theory & Practice of Fin. & Econ., 40, 150–155. (in Chinese) doi: 10.3969/j.issn.1003-7217.2019.01.022
[35] Xie, Z. K., F. X. Li, M. C. Li, et al., 2015: Study on the expansion of new residential land in the Nanjing downtown (south of the Yangtze River). Sci. Surve. Mapp., 40, 92–97. (in Chinese) doi: 10.16251/j.cnki.1009-2307.2015.06.0019
[36] Xing, L. P., and B. Fang, 2018: Spatial−temporal pattern and coordinated development of urbanization and ecological environment in Jiangsu Province. J. Nanjing Norm. Univ. (Nat.l Sci. Ed.), 41, 131–137. (in Chinese) doi: 10.3969/j.issn.1001-4616.2018.03.020
[37] Xu, H. Q., 2010: Analysis of impervious surface and its impact on urban heat environment using the normalized difference impervious surface index (NDISI). Photogramm. Eng. Remote Sens., 76, 557–565. doi: 10.14358/PERS.76.5.557
[38] Xu, H. Q., 2013a: A remote sensing urban ecological index and its application. Acta Ecol. Sinica, 33, 7853–7862. (in Chinese) doi: 10.5846/stxb201208301223
[39] Xu, H. Q., 2013b: A remote sensing index for assessment of regional ecological changes. China Environ. Sci., 33, 889–897. (in Chinese) doi: 10.3969/j.issn.1000-6923.2013.05.019
[40] Xu, H. Q., 2013c: Assessment of ecological change in soil loss area using remote sensing technology. Trans. Chinese Soc. Agric. Eng., 29, 91–97. (in Chinese) doi: 10.3969/j.issn.1002-6819.2013.07.012
[41] Xu, H. Q., and H. Zhang, 2015: Ecological response to urban expansion in an island city: Xiamen, southeastern China. Sci. Geogr. Sinica, 35, 867–872. (in Chinese)
[42] Yuan, F., and M. E. Bauer, 2007: Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sens. Environ., 106, 375–386. doi: 10.1016/j.rse.2006.09.003
[43] Zhang, X., R. C. Estoque, and Y. Murayama, 2017: An urban heat island study in Nanchang City, China based on land surface temperature and social−ecological variables. Sustain. Cities Soc., 32, 557–568. doi: 10.1016/j.scs.2017.05.005
[44] Zhao, Y. L., and L. J. Zhang, 1998: Study on method of quantitative assessment of fragile environment. Sci. Geogr. Sinica, 18, 73–79. doi: 10.1007/bf02791364
[45] Zheng, Y., 2014: Eco-environment index extraction and change analysis based on the TM data. Master dissertation, Nanjing Forestry University, Nanjing, 34 pp.
[46] Zhu, Z. R., 2017: Evaluation of ecological environment quality of Nanchang based on remote sensing based ecological index. Master dissertation, East China University of Technology, Nanchang, 27 pp.