Mapping the spatial and temporal patterns of fallow land in mountainous regions of China

References

• Babu, Subhash, K. P. Mohapatra, Anup Das, Gulab Singh Yadav, Moutusi Tahasildar, Raghavendra Singh, A. S. Panwar, Vivek Yadav, and Puran Chandra. 2020. “Designing Energy-Efficient, Economically Sustainable and Environmentally Safe Cropping System for the Rainfed Maize–Fallow Land of the Eastern Himalayas.” Science of The Total Environment 722: 137874. doi:10.1016/j.scitotenv.2020.137874.
   PubMed 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. doi:10.1016/j.isprsjprs.2016.01.011.
   Web of Science ®Google Scholar
• Brinson, Mark M., and S. Diane Eckles. 2011. “U.S. Department of Agriculture Conservation Program and Practice Effects on Wetland Ecosystem Services: A Synthesis.” Ecological Applications 21 (sp1): S116–S127. doi:10.1890/09-0627.1.
   Web of Science ®Google Scholar
• Chandna, Parvesh Kumar, and Saptarshi Mondal. 2020. “Analyzing Multi-Year Rice-Fallow Dynamics in Odisha Using Multi-Temporal Landsat-8 OLI and Sentinel-1 Data.” GIScience & Remote Sensing 57 (4): 431–449. doi:10.1080/15481603.2020.1731074.
   Web of Science ®Google Scholar
• Chen, Jun, Jin Chen, Anping Liao, Xin Cao, Lijun Chen, Xuehong Chen, Chaoying He, et al. 2015. “Global Land Cover Mapping at 30m Resolution: A POK-Based Operational Approach.” ISPRS Journal of Photogrammetry and Remote Sensing 103: 7–27. doi:10.1016/j.isprsjprs.2014.09.002.
   Web of Science ®Google Scholar
• Chen, Hongji, Kangchuan Su, Lixian Peng, Guohua Bi, Lulu Zhou, and Qingyuan Yang. 2022. “Mixed Land Use Levels in Rural Settlements and Their Influencing Factors: A Case Study of Pingba Village in Chongqing, China.” International Journal of Environmental Research and Public Health 19 (10): 5845. doi:10.3390/ijerph19105845.
   PubMed Web of Science ®Google Scholar
• Chengming, Zhang, Liu Jiping, Yu Fan, Wan Shujing, Han Yingjuan, Wang Jing, and Wang Gang. 2018. “Segmentation Model Based on Convolutional Neural Networks for Extracting Vegetation from Gaofen-2 Images.” Journal of Applied Remote Sensing 12 (4): 1–18. doi: 10.1117/1.JRS.12.042804.
   Web of Science ®Google Scholar
• Conrad, Christopher, Stefan Dech, Olena Dubovyk, Sebastian Fritsch, Doris Klein, Fabian Löw, Gunther Schorcht, and Julian Zeidler. 2014. “Derivation of Temporal Windows for Accurate Crop Discrimination in Heterogeneous Croplands of Uzbekistan Using Multitemporal RapidEye Images.” Computers and Electronics in Agriculture 103: 63–74. doi:10.1016/j.compag.2014.02.003.
   Web of Science ®Google Scholar
• Estel, Stephan, Tobias Kuemmerle, Camilo Alcántara, Christian Levers, Alexander Prishchepov, and Patrick Hostert. 2015. “Mapping Farmland Abandonment and Recultivation Across Europe Using MODIS NDVI Time Series.” Remote Sensing of Environment 163: 312–325. doi:10.1016/j.rse.2015.03.028.
   Web of Science ®Google Scholar
• Felde, Gerald W., Gail P. Anderson, Thomas W. Cooley, Michael W. Matthew, Steven M. Adler-Golden, Alexander Berk, and Jamie Lee. 2003. “Analysis of Hyperion Data with the FLAASH Atmospheric Correction Algorithm.” IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), July 21–25.
   Google Scholar
• Girard, C. M., C. Le Bas, W. Szujecka, and M. C. Girard. 1994. “Remote Sensing and Fallow Land.” Journal of Environmental Management 41 (1): 27–38. doi:10.1006/jema.1994.1031.
   Web of Science ®Google Scholar
• Gong, Peng, Han Liu, Meinan Zhang, Congcong Li, Jie Wang, Huabing Huang, Nicholas Clinton, et al. 2019. “Stable Classification with Limited Sample: Transferring a 30-m Resolution Sample Set Collected in 2015 to Mapping 10-m Resolution Global Land Cover in 2017.” Science Bulletin 64 (6): 370–373. doi:10.1016/j.scib.2019.03.002.
   PubMed Web of Science ®Google Scholar
• Groier, M. 2000. “The Development, Effects and Prospects for Agricultural Environmental Policy in Europe.” Förderungsdienst 48 (4): 37–40.
   Google Scholar
• Gumma, Murali Krishna, Prasad S. Thenkabail, Kumara Charyulu Deevi, Irshad A. Mohammed, Pardhasaradhi Teluguntla, Adam Oliphant, Jun Xiong, Tin Aye, and Anthony M. Whitbread. 2018. “Mapping Cropland Fallow Areas in Myanmar to Scale Up Sustainable Intensification of Pulse Crops in the Farming System.” GIScience & Remote Sensing 55 (6): 926–949. doi:10.1080/15481603.2018.1482855.
   Web of Science ®Google Scholar
• Han, Ze, and Wei Song. 2019. “Spatiotemporal Variations in Cropland Abandonment in the Guizhou–Guangxi Karst Mountain Area, China.” Journal of Cleaner Production 238: 117888. doi:10.1016/j.jclepro.2019.117888.
   Web of Science ®Google Scholar
• Li, Han, and Wei Song. 2021. “Cropland Abandonment and Influencing Factors in Chongqing, China.” Land 10 (11): 1206. doi:10.3390/land10111206.
   Web of Science ®Google Scholar
• Liang, Xinyuan, and Yangbing Li. 2020. “Identification of Spatial Coupling Between Cultivated Land Functional Transformation and Settlements in Three Gorges Reservoir Area, China.” Habitat International 104: 102236. doi:10.1016/j.habitatint.2020.102236.
   Web of Science ®Google Scholar
• Liu, Luo, Xinliang Xu, Dafang Zhuang, Xi Chen, and Shuang Li. 2013. “Changes in the Potential Multiple Cropping System in Response to Climate Change in China from 1960-2010.” PloS one 8 (12): e80990. doi:10.1371/journal.pone.0080990.
   PubMed Web of Science ®Google Scholar
• Lu, Dan, Yahui Wang, Qingyuan Yang, Huiyan He, and Kangchuan Su. 2019. “Exploring a Moderate Fallow Scale of Cultivated Land in China from the Perspective of Food Security.” International Journal of Environmental Research and Public Health 16 (22): 4329. doi:10.3390/ijerph16224329.
   PubMed Web of Science ®Google Scholar
• Manzungu, Emmanuel, and Linda Mtali. 2012. “An Investigation Into the Spatial and Temporal Distribution of Fallow Land and the Underlying Causes in Southcentral Zimbabwe.” Journal of Geography and Geology 4 (4): 62. doi:10.5539/jgg.v4n4p62.
   Google Scholar
• Masek, J. G., E. F. Vermote, N. E. Saleous, R. Wolfe, F. G. Hall, K. F. Huemmrich, Gao Feng, J. Kutler, and Lim Teng-Kui. 2006. “A Landsat Surface Reflectance Dataset for North America, 1990-2000.” IEEE Geoscience and Remote Sensing Letters 3 (1): 68–72. doi:10.1109/LGRS.2005.857030.
   Web of Science ®Google Scholar
• Ministry of Agriculture and Rural Affairs of the People's Republic of China. 2017. “Notice of the Ministry of Agriculture and the Ministry of Finance on the Implementation of Projects Such as the Development of Agricultural Production in the Central Government in 2017.” Accessed January 10, 2021. http://www.moa.gov.cn/.
   Google Scholar
• Mondal, Md Surabuddin, Nayan Sharma, P. K. Garg, and Martin Kappas. 2016. “Statistical Independence Test and Validation of CA Markov Land use Land Cover (LULC) Prediction Results.” The Egyptian Journal of Remote Sensing and Space Science 19 (2): 259–272. doi:10.1016/j.ejrs.2016.08.001.
   Web of Science ®Google Scholar
• Nguyen, Can T., Amnat Chidthaisong, Phan Kieu Diem, and Lian-Zhi Huo. 2021. “A Modified Bare Soil Index to Identify Bare Land Features During Agricultural Fallow-Period in Southeast Asia Using Landsat 8.” Land 10 (3): 231. doi:10.3390/land10030231.
   Web of Science ®Google Scholar
• Phalke, Aparna R., and Mutlu Özdoğan. 2018. “Large Area Cropland Extent Mapping with Landsat Data and a Generalized Classifier.” Remote Sensing of Environment 219: 180–195. doi:10.1016/j.rse.2018.09.025.
   Web of Science ®Google Scholar
• Prosekov, Alexander Y., and Svetlana A. Ivanova. 2018. “Food Security: The Challenge of the Present.” Geoforum; Journal of Physical, Human, and Regional Geosciences 91: 73–77. doi:10.1016/j.geoforum.2018.02.030.
   Web of Science ®Google Scholar
• Rahman, Md, and S. Saha. 2009. “Spatial Dynamics of Cropland and Cropping Pattern Change Analysis Using Landsat TM and IRS P6 LISS III Satellite Images with GIS.” Geo-spatial Information Science 12 (2): 123–134. doi:10.1007/s11806-009-0249-2.
   Google Scholar
• Ram, Balak, and A. S. Kolarkar. 1993. “Remote Sensing Application in Monitoring Land-use Changes in Arid Rajasthan.” International Journal of Remote Sensing 14 (17): 3191–3200. doi:10.1080/01431169308904433.
   Web of Science ®Google Scholar
• Rasul, Azad, Heiko Balzter, Gaylan R. Faqe Ibrahim, Hasan M. Hameed, James Wheeler, Bashir Adamu, Sa’ad Ibrahim, and Peshawa M. Najmaddin. 2018. “Applying Built-Up and Bare-Soil Indices from Landsat 8 to Cities in Dry Climates.” Land 7 (3): 81. doi:10.3390/land7030081.
   Web of Science ®Google Scholar
• Sato, Hitoshi. 2001. “The Current State of Paddy Agriculture in Japan.” Irrigation and Drainage 50 (2): 91–99. doi:10.1002/ird.10.
   Web of Science ®Google Scholar
• Shi, Kaifang, Qingyuan Yang, Yuanqing Li, and Xiufeng Sun. 2019. “Mapping and Evaluating Cultivated Land Fallow in Southwest China Using Multisource Data.” Science of The Total Environment 654: 987–999. doi:10.1016/j.scitotenv.2018.11.172.
   PubMed Web of Science ®Google Scholar
• Siachalou, S., G. Mallinis, and M. Tsakiri-Strati. 2017. “Analysis of Time-Series Spectral Index Data to Enhance Crop Identification Over a Mediterranean Rural Landscape.” IEEE Geoscience and Remote Sensing Letters 14 (9): 1508–1512. doi:10.1109/LGRS.2017.2719124.
   Web of Science ®Google Scholar
• Silverman, Bernard W. 1986. Density Estimation For Statistics And Data Analysis. New York: Chapman and Hall.
   Google Scholar
• Song, Wei. 2019. “Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach.” Sustainability 11 (21): 5951. doi:10.3390/su11215951.
   Web of Science ®Google Scholar
• Song, Wei, and Xiangzheng Deng. 2017. “Land-use/land-cover Change and Ecosystem Service Provision in China.” Science of The Total Environment 576: 705–719. doi:10.1016/j.scitotenv.2016.07.078.
   PubMed Web of Science ®Google Scholar
• Song, Wei, and Bryan C. Pijanowski. 2014. “The Effects of China's Cultivated Land Balance Program on Potential Land Productivity at a National Scale.” Applied Geography 46: 158–170. doi:10.1016/j.apgeog.2013.11.009.
   Web of Science ®Google Scholar
• Srivastava, Amit Kumar, Thomas Gaiser, Denis Cornet, and Frank Ewert. 2012. “Estimation of Effective Fallow Availability for the Prediction of yam Productivity at the Regional Scale Using Model-Based Multiple Scenario Analysis.” Field Crops Research 131: 32–39. doi:10.1016/j.fcr.2012.01.012.
   Web of Science ®Google Scholar
• Styger, Erika, Harivelo M. Rakotondramasy, Max J. Pfeffer, Erick C. M. Fernandes, and David M. Bates. 2007. “Influence of Slash-and-Burn Farming Practices on Fallow Succession and Land Degradation in the Rainforest Region of Madagascar.” Agriculture, Ecosystems & Environment 119 (3): 257–269. doi:10.1016/j.agee.2006.07.012.
   Web of Science ®Google Scholar
• Sullivan, Patrick, Daniel Hellerstein, Leroy Hansen, Robert Johansson, Steven Koenig, Ruben N. Lubowski, William D. McBride, David A. McGranahan, Michael J. Roberts, and Stephen J. Vogel. 2004. “The Conservation Reserve Program: Economic Implications for Rural America.” USDA-ERS Agricultural Economic Report 834: 112. doi:10.2139/ssrn.614511.
   Google Scholar
• Van der Linden, Sebastian, Andreas Rabe, Matthias Held, Benjamin Jakimow, J. Pedro Leitão, Akpona Okujeni, Marcel Schwieder, Stefan Suess, and Patrick Hostert. 2015. “The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing.” Remote Sensing 7 (9): 11249–11266. doi:10.3390/rs70911249.
   Web of Science ®Google Scholar
• van Vliet, Nathalie, Ole Mertz, Andreas Heinimann, Tobias Langanke, Unai Pascual, Birgit Schmook, Cristina Adams, et al. 2012. “Trends, Drivers and Impacts of Changes in Swidden Cultivation in Tropical Forest-Agriculture Frontiers: A Global Assessment.” Global Environmental Change 22 (2): 418–429. doi:10.1016/j.gloenvcha.2011.10.009.
   Web of Science ®Google Scholar
• Vermote, Eric, Chris Justice, Martin Claverie, and Belen Franch. 2016. “Preliminary Analysis of the Performance of the Landsat 8/OLI Land Surface Reflectance Product.” Remote Sensing of Environment 185: 46–56. doi:10.1016/j.rse.2016.04.008.
   PubMed Web of Science ®Google Scholar
• Wang, Fengjiao, Wei Liang, Bojie Fu, Zhao Jin, Jianwu Yan, Weibin Zhang, Shuyi Fu, and Nana Yan. 2020. “Changes of Cropland Evapotranspiration and its Driving Factors on the Loess Plateau of China.” Science of The Total Environment 728: 138582. doi:10.1016/j.scitotenv.2020.138582.
   PubMed Web of Science ®Google Scholar
• Wang, Can, Mahinda Siriwardana, and Samuel Meng. 2019. “Effects of the Chinese Arable Land Fallow System and Land-use Change on Agricultural Production and on the Economy.” Economic Modelling 79: 186–197. doi:10.1016/j.econmod.2018.10.012.
   Web of Science ®Google Scholar
• Wang, Yanwei, and Wei Song. 2021. “Mapping Abandoned Cropland Changes in the Hilly and Gully Region of the Loess Plateau in China.” Land 10 (12): 1341. doi:10.3390/land10121341.
   Web of Science ®Google Scholar
• Wu, Qing, and Hualin Xie. 2017. “A Review and Implication of Land Fallow System Research.” Journal of Resources and Ecology 8 (3): 223–231. doi:10.5814/j.issn.1674-764x.2017.03.002.
   Google Scholar
• Xie, Hualin, and Shengtian Jin. 2019. “Evolutionary Game Analysis of Fallow Farmland Behaviors of Different Types of Farmers and Local Governments.” Land Use Policy 88: 104122. doi:10.1016/j.landusepol.2019.104122.
   Web of Science ®Google Scholar
• Xu, Xinliang. 2017. “China GDP Spatial Distribution Kilometer Grid Data Set.” Data Registration and Publishing System of Resources and Environmental Sciences Data Center, Chinese Academy of Sciences.
   Google Scholar
• Xu, X. L., J. Y. Liu, S. W. Zhang, R. D. Li, C. Z. Yan, and S. X. Wu. 2018. “Remote Sensing Monitoring Data Set for Land Use and Cover Change in China (CNLUCC).” Data Registration and Publishing System of Resource and Environment Science Data Center of Chinese Academy of Sciences. http://www.resdc.cn. doi:10.12078/2018070201.
   Google Scholar
• Yamamoto, Yukiyo, Thomas Oberthür, and Rod Lefroy. 2009. “Spatial Identification by Satellite Imagery of the Crop–Fallow Rotation Cycle in Northern Laos.” Environment, Development and Sustainability 11 (3): 639–654. doi:10.1007/s10668-007-9134-z.
   Google Scholar
• Yang, Shanshan, Jiahua Zhang, Jingwen Wang, Sha Zhang, Yun Bai, Siqi Shi, and Dan Cao. 2022. “Spatiotemporal Variations of Water Productivity for Cropland and Driving Factors Over China During 2001–2015.” Agricultural Water Management 262: 107328. doi:10.1016/j.agwat.2021.107328.
   Web of Science ®Google Scholar
• Yin, He, Amintas Brandão, Johanna Buchner, David Helmers, Benjamin G. Iuliano, Niwaeli E. Kimambo, Katarzyna E. Lewińska, et al. 2020. “Monitoring Cropland Abandonment with Landsat Time Series.” Remote Sensing of Environment 246: 111873. doi:10.1016/j.rse.2020.111873.
   Web of Science ®Google Scholar
• Yuanyang County People’s Government Office. 2020. “1989-2019 Yuanyang County Statistical Yearbook.” Accessed January 3, 2020. http://www.yy.hh.gov.cn/.
   Google Scholar
• Zambon, Ilaria, Pere Serra, Rosanna Salvia, and Luca Salvati. 2018. “Fallow Land, Recession and Socio-Demographic Local Contexts: Recent Dynamics in a Mediterranean Urban Fringe.” Agriculture 8 (10): 159. doi:10.3390/agriculture8100159.
   Google Scholar
• Zhang, Ying, Xiubin Li, and Wei Song. 2014. “Determinants of Cropland Abandonment at the Parcel, Household and Village Levels in Mountain Areas of China: A Multi-Level Analysis.” Land Use Policy 41: 186–192. doi:10.1016/j.landusepol.2014.05.011.
   Web of Science ®Google Scholar
• Zhang, Xiaomei, Tengfei Long, Guojin He, and Yantao Guo. 2019. “Gobal Forest Cover Mapping Using Landsat and Google Earth Engine Cloud Computing.” 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), July 16–19.
   Google Scholar
• Zhong, Y., C. Giri, P. S. Thenkabail, P. Teluguntla, G. Congalton, R. K. Yadav, J. A. Oliphant, J. Xiong, J. Poehnelt, and C. Smith. 2017. “NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 South America 30 m V001.” Edited by NASA EOSDIS Land Processes DAAC. NASA EOSDIS Land Processes DAAC.
   Google Scholar
• Zhu, Zhe, Shixiong Wang, and Curtis E. Woodcock. 2015. “Improvement and Expansion of the Fmask Algorithm: Cloud, Cloud Shadow, and Snow Detection for Landsats 4–7, 8, and Sentinel 2 Images.” Remote Sensing of Environment 159: 269–277. doi:10.1016/j.rse.2014.12.014.
   Web of Science ®Google Scholar