Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification

References

• The Central People's Government of the People's Republic of China. Accessed March 29, 2021. http://www.gov.cn/gzdt/2010-11/27/content_1754795.htm.
   Google Scholar
• Jingyang county, Shaanxi Province. Accessed March 29, 2021. http://www.cnr.cn/sxpd/shgl/20210111/t20210111_525388580.shtml.
   Google Scholar
• Shaanxi. Accessed November 23, 2021. http://www.shaanxi.gov.cn/zfxxgk/zfgb/1999/d15q_4456/200806/t20080626_1635614.html.
   Google Scholar
• Agüera, F., M. A. Aguilar, and F. J. Aguilar. 2007. “Detecting Greenhouse Changes from QuickBird Imagery on the Mediterranean Coast.” International Journal of Remote Sensing 27 (21): 4751–4767.
   Web of Science ®Google Scholar
• Agüera, Francisco, Fernando J. Aguilar, and Manuel A. Aguilar. 2008. “Using Texture Analysis to Improve per-Pixel Classification of Very High Resolution Images for Mapping Plastic Greenhouses.” ISPRS Journal of Photogrammetry and Remote Sensing 63 (6): 635–646.
   Web of Science ®Google Scholar
• Aguilar, Manuel, Francesco Bianconi, Fernando Aguilar, and Ismael Fernández. 2014. “Object-Based Greenhouse Classification from GeoEye-1 and WorldView-2 Stereo Imagery.” Remote Sensing 6 (5): 3554–3582.
   Web of Science ®Google Scholar
• Aiello, Giuseppe, Irene Giovino, Mariangela Vallone, Pietro Catania, and Antonella Argento. 2018. “A Decision Support System Based on Multisensor Data Fusion for Sustainable Greenhouse Management.” Journal of Cleaner Production 172: 4057–4065.
   Web of Science ®Google Scholar
• Akıncı, Halil, Ayşe Yavuz Özalp, and Bülent Turgut. 2013. “Agricultural Land use Suitability Analysis Using GIS and AHP Technique.” Computers and Electronics in Agriculture 97: 71–82.
   Web of Science ®Google Scholar
• Amani, M., A. Ghorbanian, S. A. Ahmadi, M. Kakooei, and B. Brisco. 2020. “Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13: 5326–5350.
   Web of Science ®Google Scholar
• Aspinall, R. 2004. “Modelling Land use Change with Generalized Linear Models—a Multi-Model Analysis of Change Between 1860 and 2000 in Gallatin Valley, Montana.” Journal of Environmental Management 72 (1-2): 91–103.
   PubMed Web of Science ®Google Scholar
• Baddadi, Sara, Salwa Bouadila, Wahid Ghorbel, and AmenAllah Guizani. 2019. “Autonomous Greenhouse Microclimate Through Hydroponic Design and Refurbished Thermal Energy by Phase Change Material.” Journal of Cleaner Production 211: 360–379.
   Web of Science ®Google Scholar
• Batisani, Nnyaladzi, and Brent Yarnal. 2009. “Urban Expansion in Centre County, Pennsylvania: Spatial Dynamics and Landscape Transformations.” Applied Geography 29 (2): 235–249.
   Web of Science ®Google Scholar
• Batty, M., and P. A. Longley. 1988. “The Morphology of Urban Land Use.” Environment and Planning B: Planning and Design 15 (4): 461–488.
   Web of Science ®Google Scholar
• Belgiu, Mariana, and Lucian Drăguţ. 2016. “Random Forest in Remote Sensing: A Review of Applications and Future Directions.” ISPRS Journal of Photogrammetry and Remote Sensing 114: 24–31.
   Web of Science ®Google Scholar
• Breiman, L. 2001. “Random Forests.” Machine Learning 45: 5–32.
   Web of Science ®Google Scholar
• Chander, Gyanesh, Brian L. Markham, and Dennis L. Helder. 2009. “Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors.” Remote Sensing of Environment 113 (5): 893–903.
   Web of Science ®Google Scholar
• Chang, Jie, Xu Wu, Anqin Liu, Yan Wang, Bin Xu, Wu Yang, Laura A. Meyerson, Baojing Gu, Changhui Peng, and Ying Ge. 2011. “Assessment of net Ecosystem Services of Plastic Greenhouse Vegetable Cultivation in China.” Ecological Economics 70 (4): 740–748.
   Web of Science ®Google Scholar
• Chen, Yongshan, Yongming Luo, Haibo Zhang, and Jing Song. 2011. “Preliminary Study on PAEs Pollution of Greenhouse Soils.” Acta Pedologica Sinica 48 (03): 516–523.
   Google Scholar
• Chen, Jun, Shen runping, Bolun Li, Chaopu Ti, Xiaoyuan Yan, Zhou minrui, and Shaowu Wang. 2019. “The Development of Plastic Greenhouse Index Based on Logistic Regression Analysis.” Remote Sensing for Land and Resources 31 (03): 43–50.
   Google Scholar
• Cheng, Jianquan, and Ian Masser. 2003. “Urban Growth Pattern Modeling: A Case Study of Wuhan City, PR China.” Landscape and Urban Planning 62 (4): 199–217. doi:10.1016/s0169-2046(02)00150-0.
   Web of Science ®Google Scholar
• Cui, Fang. 2016. “Study on the Sustainable Development of Protected Vegetable Industry in Gaoling District in Xi'an.” master. Northwest Agricultural and Forest University.
   Google Scholar
• Cui, F., M. Kim, C. Park, D. Kim, K. Mo, and M. Kim. 2021. “Application of Principal Component Analysis (PCA) to the Assessment of Parameter Correlations in the Partial-Nitrification Process Using Aerobic Granular Sludge.” Journal of Environmental Management 288: 112408.
   PubMed Web of Science ®Google Scholar
• Daily, China youth. Accessed November 23, 2021. http://zqb.cyol.com/html/2015-08/21/nw.D110000zgqnb_20150821_5-04.htm.
   Google Scholar
• Daldegan, Gabriel Antunes, Dar A. Roberts, and Fernanda de Figueiredo Ribeiro. 2019. “Spectral Mixture Analysis in Google Earth Engine to Model and Delineate Fire Scars Over a Large Extent and a Long Time-Series in a Rainforest-Savanna Transition Zone.” Remote Sensing of Environment 232: 111340.
   Web of Science ®Google Scholar
• Dong, Jinwei, Xiangming Xiao, Michael A. Menarguez, Geli Zhang, Yuanwei Qin, David Thau, Chandrashekhar Biradar, and Berrien Moore. 2016. “Mapping Paddy Rice Planting Area in Northeastern Asia with Landsat 8 Images, Phenology-Based Algorithm and Google Earth Engine.” Remote Sensing of Environment 185: 142–154.
   Web of Science ®Google Scholar
• Duan, Yuanqiang, Xing Li, Lianpeng Zhang, Wei Liu, Shu'an Liu, Dan Chen, and Hanyu Ji. 2020. “Detecting Spatiotemporal Changes of Large-scale Aquaculture Ponds Regions Over 1988–2018 in Jiangsu Province, China Using Google Earth Engine.” Ocean & Coastal Management 188: 105144.
   Web of Science ®Google Scholar
• Esri. 2014. ArcGIS 10.2 help: USA.
   Google Scholar
• Facility vegetable, Hancheng. www.sxncb.com. Accessed March 28, 2021. https://www.sxncb.com/2019-06/17/content_1958686.html.
   Google Scholar
• Fan, Ya’nan, Yanxia Zhang, Fabian Hess, Biao Huang, and Zhikun Chen. 2020. “Nutrient Balance and Soil Changes in Plastic Greenhouse Vegetable Production.” Nutrient Cycling in Agroecosystems 117 (1): 77–92.
   Web of Science ®Google Scholar
• FAO. 1977. A Framework for Land Evaluation. Wageningen: International Institute for Land Reclamation and Improvement.
   Google Scholar
• Feng, S., H. Lu, and Y. Liu. 2021. “The Occurrence of Microplastics in Farmland and Grassland Soils in the Qinghai-Tibet Plateau: Different Land Use and Mulching Time in Facility Agriculture.” Environmental Pollution 279: 116939.
   PubMed Web of Science ®Google Scholar
• Gao, Mengjie, Qunou Jiang, Yiyang Zhao, Wentao Yang, and Mingchang Shi. 2018. “Comparison of Plastic Greenhouse Extraction Method Based on GF-2 Remote-Sensing Imagery.” Journal of China Agricultural University 23 (08): 125–134.
   Google Scholar
• Gorelick, Noel, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore. 2017. “Google Earth Engine: Planetary-Scale Geospatial Analysis for Everyone.” Remote Sensing of Environment 202: 18–27.
   Web of Science ®Google Scholar
• Guo, Yu, Huajian Zhao, Shanhong Zhang, Yang Wang, and David Chow. 2021. “Modeling and Optimization of Environment in Agricultural Greenhouses for Improving Cleaner and Sustainable Crop Production.” Journal of Cleaner Production 285: 124843.
   Web of Science ®Google Scholar
• Hasituya, Zhongxin Chen, Yoshio Inoue, and Prasad S. Thenkabail. 2017. “Mapping Plastic-Mulched Farmland with Multi-Temporal Landsat-8 Data.” Remote Sensing 9(6): 557.
   Web of Science ®Google Scholar
• Hasituya, Zhongxin Chen, Limin Wang, Wenbin Wu, Zhiwei Jiang, and He Li. 2016. “Monitoring Plastic-Mulched Farmland by Landsat-8 OLI Imagery Using Spectral and Textural Features.” Remote Sensing 8 (4): 353.
   Web of Science ®Google Scholar
• Hu, Zhiyong, and C. P. Lo. 2007. “Modeling Urban Growth in Atlanta Using Logistic Regression.” Computers, Environment and Urban Systems 31 (6): 667–688.
   Web of Science ®Google Scholar
• Hu, Yun-Cai, Zhi-Wen Song, Wen-Long Lu, C. Poschenrieder, and U. Schmidhalter. 2012. “Current Soil Nutrient Status of Intensively Managed Greenhouses.” Pedosphere 22 (6): 825–833. doi:10.1016/s1002-0160(12)60068-x.
   Web of Science ®Google Scholar
• Huang, Hong, Pengxin Wang, and li Li. 2011. “Correlations Between Weighted VTCI in Key Growth and Development Stages of Winter Wheat and Wheat Yields in the Guanzhong Plain.” College of Information and Electrical Engineering, China Agricultural University 29 (06): 173–178.
   Google Scholar
• iqilu. Accessed November 23, 2021. http://news.iqilu.com/shandong/kejiaoshehui/20190508/4263936.shtml.
   Google Scholar
• Ji, Li, Lianpeng Zhang, Yang Shen, Xing Li, Wei Liu, Qi Chai, Rui Zhang, and Dan Chen. 2019. “Object-Based Mapping of Plastic Greenhouses with Scattered Distribution in Complex Land Cover Using Landsat 8 OLI Images: A Case Study in Xuzhou, China.” Journal of the Indian Society of Remote Sensing 48 (2): 287–303.
   Web of Science ®Google Scholar
• Jiang, Weiguo, Zheng Chen, Xuan Lei, Kai Jia, and Yongfeng Wu. 2015. “Simulating Urban Land use Change by Incorporating an Autologistic Regression Model into a CLUE-S Model.” Journal of Geographical Sciences 25 (7): 836–850.
   Web of Science ®Google Scholar
• Kovalskyy, V., and D. P. Roy. 2013. “The Global Availability of Landsat 5 TM and Landsat 7 ETM+ Land Surface Observations and Implications for Global 30 m Landsat Data Product Generation.” Remote Sensing of Environment 130: 280–293.
   Web of Science ®Google Scholar
• Krummel, J., R. Gardner, G. Sugihara, R. O'Neill, and P. Coleman. 1987. “Landscape Patterns in a Disturbed Environment.” Oikos 48: 321–324.
   Web of Science ®Google Scholar
• Lamont, William James. 1999. Vegetable Production Using Plasticulture. Tapei City, Republic of China on Taiwan: Food and Fertilizer Technology Center.
   Google Scholar
• Li, Zongnan, Yi Jiang, Xin Wang, Guocheng Ren, and Zhangcheng Li. 2018. “Remote Sensing Spatial-temporal Changes of Facility Planting Region in Luliang County.” Chinese Journal of Agricultural Resources and Regional Planning 39 (12): 21–25. +33.
   Google Scholar
• Li, Yan, Pengxin Wang, Junming Liu, Shuyu Zhang, and li Li. 2014. “Evaluation of Drought Monitoring Effects in the Main Growth and Development Stages of Winter Wheat Using Vegetation Temperature Condition Index Ⅲ.———Impact Evaluation of Drought on Wheat Yield.” Agricultural Research in the Arid Areas 32 (05): 218–222.
   Google Scholar
• Li, Deyi, and Shuwen zhang. 2010. “Evaluation of Land Development Suitability in Heilongjiang Province Based on PCA Method.” System Sciences and Comprehensive Studies in Agriculture 26 (1): 75–79.
   Google Scholar
• Lin, Yu-Pin, Hone-Jay Chu, Chen-Fa Wu, and Peter H. Verburg. 2011. “Predictive Ability of Logistic Regression, Auto-Logistic Regression and Neural Network Models in Empirical Land-use Change Modeling – a Case Study.” International Journal of Geographical Information Science 25 (1): 65–87.
   Web of Science ®Google Scholar
• Lv, H., S. Lin, Y. Wang, X. Lian, Y. Zhao, Y. Li, J. Du, Z. Wang, J. Wang, and K. Butterbach-Bahl. 2019. “Drip Fertigation Significantly Reduces Nitrogen Leaching in Solar Greenhouse Vegetable Production System.” Environmental Pollution 245: 694–701.
   PubMed Web of Science ®Google Scholar
• Ma, L. L., S. G. Chu, and X. B. Xu. 2003. “Phthalate Residues in Greenhouse Soil from Beijing Suburbs, People's Republic of China.” Bulletin of Environmental Contamination and Toxicology 71 (2): 394–399.
   PubMed Web of Science ®Google Scholar
• Ma, Yan, Zhen-Hai Liu, Bei-Dou Xi, Xiao-Song He, Qun-Liang Li, Yan-Jie Qi, Meng-Ye Jin, and Yi Guo. 2019. “Characteristics of Groundwater Pollution in a Vegetable Cultivation Area of Typical Facility Agriculture in a Developed City.” Ecological Indicators 105: 709–716.
   Web of Science ®Google Scholar
• Mandelbrot, B. B. 1977. Fractals: Form, Chance, and Dimension. San Francisco: W. H. Freeman.
   Google Scholar
• Manel, S., and Hcwj Ormerod. 2010. “Evaluating Presence-Absence Models in Ecology: The Need to Account for Prevalence.” Journal of Applied Ecology 38 (5): 921–931.
   Google Scholar
• Markham, B. L., J. C. Storey, D. L. Williams, and J. R. Irons. 2004. “Landsat Sensor Performance: History and Current Status.” IEEE Transactions on Geoscience and Remote Sensing 42 (12): 2691–2694.
   Web of Science ®Google Scholar
• Mingbao, Hu. Accessed November 23, 2021. http://www.farmer.com.cn/2021/11/12/99881758.html.
   Google Scholar
• Muzira, Nyaradzo Marilyn, Terrence Darlington Mushore, Menas Wuta, Collin Mutasa, and Emmanuel Mashonjowa. 2021. “Land Suitability Analysis of Zimbabwe for the Production of Sorghum (Sorghum -Bicolor) and Maize (Zea Mays) Using a Remote Sensing and GIS Based Approach.” Remote Sensing Applications: Society and Environment 23: 100553.
   Google Scholar
• Nath, Arun Jyoti, Rakesh Kumar, N. Bijayalaxmi Devi, Pebam Rocky, Krishna Giri, Uttam Kumar Sahoo, Raj Kumar Bajpai, Netrananda Sahu, and Rajiv Pandey. 2021. “Agroforestry Land Suitability Analysis in the Eastern Indian Himalayan Region.” Environmental Challenges 4: 100199.
   Google Scholar
• Nie, Qunhai. 2017. “Evaluation and Application of Suzhou Land Suitability Based on GIS Technology and Principal Component Analysis.” master, Soochow University.
   Google Scholar
• Novelli, Antonio, Manuel A. Aguilar, Abderrahim Nemmaoui, Fernando J. Aguilar, and Eufemia Tarantino. 2016. “Performance Evaluation of Object Based Greenhouse Detection from Sentinel-2 MSI and Landsat 8 OLI Data: A Case Study from Almería (Spain).” International Journal of Applied Earth Observation and Geoinformation 52: 403–411.
   Web of Science ®Google Scholar
• Oh, Y. G., S. H. Yoo, S. H. Lee, and J. Y. Choi. 2011. “Prediction of Paddy Field Change Based on Climate Change Scenarios Using the CLUE Model.” Paddy and Water Environment 9 (3): 309–323.
   Web of Science ®Google Scholar
• Ostovari, Yaser, Afshin Honarbakhsh, Hamed Sangoony, Farhad Zolfaghari, Kimia Maleki, and Ben Ingram. 2019. “GIS and Multi-Criteria Decision-Making Analysis Assessment of Land Suitability for Rapeseed Farming in Calcareous Soils of Semi-Arid Regions.” Ecological Indicators 103: 479–487.
   Web of Science ®Google Scholar
• Ou, Cong, Jianyu Yang, Zhenrong Du, Yiming Liu, Quanlong Feng, and Dehai Zhu. 2020. “Long-Term Mapping of a Greenhouse in a Typical Protected Agricultural Region Using Landsat Imagery and the Google Earth Engine.” Remote Sensing 12 (1): 55.
   Web of Science ®Google Scholar
• Ouiyangkul, P., V. Tantishaiyakul, and N. Hirun. 2020. “Exploring Potential Coformers for Oxyresveratrol Using Principal Component Analysis.” International Journal of Pharmaceutics 587: 119630.
   PubMed Web of Science ®Google Scholar
• Paludo, Alex, Willyan Ronaldo Becker, Jonathan Richetti, Laíza Cavalcante De Albuquerque Silva, and Jerry Adriani Johann. 2020. “Mapping Summer Soybean and Corn with Remote Sensing on Google Earth Engine Cloud Computing in Parana State – Brazil.” International Journal of Digital Earth 13 (12): 1624–1636.
   Web of Science ®Google Scholar
• Pearson, K. 1901. “On Lines and Planes of Closest Fit to Systems of Points in Space.” The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 2: 559–572.
   Google Scholar
• qhnews. Accessed November 23, 2021. http://www.qhnews.com/zt/system/2007/10/15/002229176.shtml.
   Google Scholar
• Ramamurthy, V., G. P. Obi Reddy, and Nirmal Kumar. 2020. “Assessment of Land Suitability for Maize (Zea Mays L) in Semi-Arid Ecosystem of Southern India Using Integrated AHP and GIS Approach.” Computers and Electronics in Agriculture 179: 105806.
   Web of Science ®Google Scholar
• Roy, D. P., M. A. Wulder, T. R. Loveland, C. E. Woodcock, R. G. Allen, M. C. Anderson, D. Helder, et al. 2014. “Landsat-8: Science and Product Vision for Terrestrial Global Change Research.” Remote Sensing of Environment 145: 154–172.
   Web of Science ®Google Scholar
• Shaanxi, Government. Accessed March 28, 2021. http://www.shaanxi.gov.cn/zfxxgk/zfgb/1999/d15q_4456/200806/t20080626_1635614.html.
   Google Scholar
• Shangnan, Government. www.shangnan.gov.cn. Accessed March 28, 2021. http://www.shangnan.gov.cn/info/1215/38545.htm.
   Google Scholar
• Shen, Hongzheng, Yizheng Chen, Yongqiang Wang, Xuguang Xing, and Xiaoyi Ma. 2020. “Evaluation of the Potential Effects of Drought on Summer Maize Yield in the Western Guanzhong Plain, China.” Agronomy 10 (8): 1095.
   Google Scholar
• Sidhu, Nanki, Edzer Pebesma, and Gilberto Câmara. 2018. “Using Google Earth Engine to Detect Land Cover Change: Singapore as a Use Case.” European Journal of Remote Sensing 51 (1): 486–500.
   Web of Science ®Google Scholar
• Song, X. Z., C. X. Zhao, X. L. Wang, and J. Li. 2009. “Study of Nitrate Leaching and Nitrogen Fate Under Intensive Vegetable Production Pattern in Northern China.” Comptes Rendus Biologies 332 (4): 385–392.
   PubMed Web of Science ®Google Scholar
• Story, Michael, and Russell G. Congalton. 1986. “Accuracy Assessment: A User's Perspective.” Photogrammetric Engineering and Remote Sensing 52: 397–399.
   Web of Science ®Google Scholar
• Tarantino, Eufemia, and Benedetto Figorito. 2012. “Mapping Rural Areas with Widespread Plastic Covered Vineyards Using True Color Aerial Data.” Remote Sensing 4 (7): 1913–1928.
   Web of Science ®Google Scholar
• Tian, Huiren, Pengxin Wang, Kevin Tansey, Jingqi Zhang, Shuyu Zhang, and Hongmei Li. 2021. “An LSTM Neural Network for Improving Wheat Yield Estimates by Integrating Remote Sensing Data and Meteorological Data in the Guanzhong Plain, PR China.” Agricultural and Forest Meteorology 310: 108629.
   Web of Science ®Google Scholar
• Tsai, Yu Hsin, Douglas Stow, Li An, Hsiang Ling Chen, Rebecca Lewison, and Lei Shi. 2019. “Monitoring Land-Cover and Land-use Dynamics in Fanjingshan National Nature Reserve.” Applied Geography 111: 102077.
   Web of Science ®Google Scholar
• Vegetable industry. Jingyang. www.cri.cn. Accessed March 28, 2021. http://sn.cri.cn/2019-05-28/f14f9adb-4477-9e94-6383-2c9ff67e206b.html?from=timeline&isappinstalled=0.
   Google Scholar
• Vegetable, Qianxian. FARMER'S DAILY. Accessed March 28, 2021. http://szb.farmer.com.cn/2021/20210303/20210303_005/20210303_005_4.htm.
   Google Scholar
• Verburg, P. H., W. Soepboer, A. Veldkamp, R. Limpiada, V. Espaldon, and S. S. Mastura. 2002. “Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model.” Environmental Management 30 (3): 391–405.
   PubMed Web of Science ®Google Scholar
• Wagner, Paul D., and Björn Waske. 2016. “Importance of Spatially Distributed Hydrologic Variables for Land Use Change Modeling.” Environmental Modelling & Software 83: 245–254.
   Web of Science ®Google Scholar
• Wang, X., X. Xiao, Z. Zou, B. Chen, J. Ma, J. Dong, R. B. Doughty, et al. 2020. “Tracking Annual Changes of Coastal Tidal Flats in China During 1986–2016 Through Analyses of Landsat Images with Google Earth Engine.” Remote Sensing of Environment 238:110987.
   PubMed Web of Science ®Google Scholar
• Wassenaar, T., P. Gerber, P. H. Verburg, M. Rosales, M. Ibrahim, and H. Steinfeld. 2007. “Projecting Land use Changes in the Neotropics: The Geography of Pasture Expansion Into Forest.” Global Environmental Change 17 (1): 86–104.
   Web of Science ®Google Scholar
• Wei, Hui, Changhe Lv, Yaqiu Liu, and Kaijie Yang. 2019. “Spatial Distribution and Temporal Changes of Facility Agriculture on the Tibetan Plateau.” Resources Science 41 (6): 1093–1101.
   Google Scholar
• Wu, Hao, Yurong Sun, Wenzhong Shi, Xiaoling Chen, and Dongjie Fu. 2013. “Examining the Satellite-Detected Urban Land Use Spatial Patterns Using Multidimensional Fractal Dimension Indices.” Remote Sensing 5 (10): 5152–5172.
   Web of Science ®Google Scholar
• Wu, Fulong, Anthony Yeh, and Gar On. 1997. “Changing Spatial Distribution and Determinants of Land Development in Chinese Cities in the Transition from a Centrally Planned Economy to a Socialist Market Economy: A Case study of Guangzhou.” Urban Studies 34 (11): 1851–1879.
   Web of Science ®Google Scholar
• Wu, Bin, and Liyan Zhang. 2013. “Farmer Innovation Diffusion via Network Building: A Case of Winter Greenhouse Diffusion in China.” Agriculture and Human Values 30 (4): 641–651.
   Web of Science ®Google Scholar
• Xie, Zunyi, Stuart R. Phinn, Edward T. Game, David J. Pannell, Richard J. Hobbs, Peter R. Briggs, and Eve McDonald-Madden. 2019. “Using Landsat Observations (1988–2017) and Google Earth Engine to Detect Vegetation Cover Changes in Rangelands – A First Step Towards Identifying Degraded Lands for Conservation.” Remote Sensing of Environment 232: 111317.
   Web of Science ®Google Scholar
• Xu, G., F. Li, and Q. Wang. 2008. “Occurrence and Degradation Characteristics of Dibutyl Phthalate (DBP) and di-(2-Ethylhexyl) Phthalate (DEHP) in Typical Agricultural Soils of China.” Science of The Total Environment 393 (2-3): 333–340.
   PubMed Web of Science ®Google Scholar
• Yan, Xiaotao, Xinying Peng, Yuzhi Qin, Zhiying Xu, Bohan Xu, Chuangkai Li, Nan Zhao, Jiaming Li, Qiongxiong Ma, and Qingmao Zhang. 2021. “Classification of Plastics Using Laser-Induced Breakdown Spectroscopy Combined with Principal Component Analysis and K Nearest Neighbor Algorithm.” Results in Optics 4: 100093.
   Google Scholar
• Yang, Chunfeng, and Shengkui Cheng. 1986. “Studies on Strip Patterns of Relay – Intercropping in the Irrigated Areas of Guanzhong Plain of Shaanxi Province.” The Agronomy Department of the Northwestern Agricultural University 02: 22–32.
   Google Scholar
• Yang, Guofu, Ronghua Xu, Yi Chen, Zhaoping Wu, Yuanyuan Du, Shun Liu, Zelong Qu, et al. 2021. “Identifying the Greenhouses by Google Earth Engine to Promote the Reuse of Fragmented Land in Urban Fringe.” Sustainable Cities and Society 67: 102743.
   Web of Science ®Google Scholar
• Yu, Shixiao, and Luo Guo. 2005. “Landscape Structures and Fractal Analyses of Taishan Mountain.” Acta Ecologica Sinica 25 (01): 129–134.
   Google Scholar
• Yu, Bohua, Wei Song, and Yanqing Lang. 2017. “Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China.” Sustainability 9 (3): 359.
   Web of Science ®Google Scholar
• Zhang, Shanhong, Yu Guo, Huajian Zhao, Yang Wang, David Chow, and Yuan Fang. 2020. “Methodologies of Control Strategies for Improving Energy Efficiency in Agricultural Greenhouses.” Journal of Cleaner Production 274: 122695.
   Web of Science ®Google Scholar
• Zhang, Y., P. Wang, L. Wang, G. Sun, J. Zhao, H. Zhang, and N. Du. 2015. “The Influence of Facility Agriculture Production on Phthalate Esters Distribution in Black Soils of Northeast China.” Science of The Total Environment 506-507: 118–125.
   PubMed Web of Science ®Google Scholar
• Zhao, Lu, Hongyan Ren, and Linsheng Yang. 2019. “Retrieval of Agriculture Greenhouse Based on GF-2 Remote Sensing Images.” Remote Sensing Technology and Application 34 (03): 677–684.
   Google Scholar
• Zhao, Yongping, and Yimou Wang. 1995. “Graphic Fractionation and its Application Based on Quantitative Research of Desertification.” Journal of Desert Research 15 (2): 175–180.
   Google Scholar
• Zheng, Zhen, Gerrit Hoogenboom, Huanjie Cai, and Zikai Wang. 2020. “Winter Wheat Production on the Guanzhong Plain of Northwest China Under Projected Future Climate with SimCLIM.” Agricultural Water Management 239: 106233.
   Web of Science ®Google Scholar
• Zhou, Y., J. Dong, X. Xiao, R. Liu, Z. Zou, G. Zhao, and Q. Ge. 2019. “Continuous Monitoring of Lake Dynamics on the Mongolian Plateau Using all Available Landsat Imagery and Google Earth Engine.” Science of The Total Environment 689: 366–380.
   PubMed Web of Science ®Google Scholar
• Zhou, Jie, Xiwei Fan, and Yaohui Liu. 2019. “Research on the Method of UAV Remote Sensing in Plastic Greenhouse.” China Agricultural Informatics 31 (01): 95–111.
   Google Scholar
• Zhou, Dianfan, Holger Meinke, Matthew Wilson, Leo F. M. Marcelis, and Ep Heuvelink. 2021. “Towards Delivering on the Sustainable Development Goals in Greenhouse Production Systems.” Resources, Conservation and Recycling 169: 105379.
   Web of Science ®Google Scholar
• Zhu, Dehai, Yiming Liu, Quanlong Feng, Cong Ou, Hao Guo, and Jiantao Liu. 2020a. “Spatial-temporal Dynamic Changes of Agricultural Greenhouses in Shandong Province in Recent 30 Years Based on Google Earth Engine.” Transactions of the Chinese Society for Agricultural Machinery 51 (01): 168–175.
   Google Scholar
• Zhu, Dehai, Yiming Liu, Quanlong Feng, Cong Ou, Hao Guo, and Jiantao Liu. 2020b. “Spatial-temporal Dynamic Changes of Agricultural Greenhouses in Shandong Province in Recent 30 Years Based on Google Earth Engine.” Transactions of The Chinese Society of Agricultural Machinery 51 (01): 168–175.
   Google Scholar
• Zikeli, Sabine, Lucia Deil, and Kurt Möller. 2017. “The Challenge of Imbalanced Nutrient Flows in Organic Farming Systems: A Study of Organic Greenhouses in Southern Germany.” Agriculture, Ecosystems & Environment 244: 1–13.
   Web of Science ®Google Scholar
• Zou, Lidong, Hang Guo, Xiufang Zhu, Yanyan Wang, Xuechang Zheng, and Jiankuo Wang. 2014. “Automatically Extracting the Spatial Distribution Information of Facility Agriculture.” Remote Sensing Technology and Application 29 (4): 669–674.
   Google Scholar
• Zurqani, Hamdi A., Christopher J. Post, Elena A. Mikhailova, Mark A. Schlautman, and Julia L. Sharp. 2018. “Geospatial Analysis of Land use Change in the Savannah River Basin Using Google Earth Engine.” International Journal of Applied Earth Observation and Geoinformation 69: 175–185.
   Web of Science ®Google Scholar