{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T09:04:42Z","timestamp":1766048682884,"version":"build-2065373602"},"reference-count":65,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2016,4,19]],"date-time":"2016-04-19T00:00:00Z","timestamp":1461024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Multiple cropping provides China with a very important system of intensive cultivation, and can effectively enhance the efficiency of farmland use while improving regional food production and security. A multiple cropping index (MCI), which represents the intensity of multiple cropping and reflects the effects of climate change on agricultural production and cropping systems, often serves as a useful parameter. Therefore, monitoring the dynamic changes in the MCI of farmland over a large area using remote sensing data is essential. For this purpose, nearly 30 years of MCIs related to dry land in the North China Plain (NCP) were efficiently extracted from remotely sensed leaf area index (LAI) data from the Global LAnd Surface Satellite (GLASS). Next, the characteristics of the spatial-temporal change in MCI were analyzed. First, 2162 typical arable sample sites were selected based on a gridded spatial sampling strategy, and then the LAI information was extracted from the samples. Second, the Savizky-Golay filter was used to smooth the LAI time-series data of the samples, and then the MCIs of the samples were obtained using a second-order difference algorithm. Finally, the geo-statistical Kriging method was employed to map the spatial distribution of the MCIs and to obtain a time-series dataset of the MCIs of dry land over the NCP. The results showed that all of the MCIs in the NCP showed an increasing trend over the entire study period and increased most rapidly from 1982 to 2002. Spatially, MCIs decreased from south to north; also, high MCIs were mainly concentrated in the relatively flat areas. In addition, the partial spatial changes of MCIs had clear geographical characteristics, with the largest change in Henan Province.<\/jats:p>","DOI":"10.3390\/s16040557","type":"journal-article","created":{"date-parts":[[2016,4,19]],"date-time":"2016-04-19T10:41:58Z","timestamp":1461062518000},"page":"557","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Spatial and Temporal Distribution of Multiple Cropping Indices in the North China Plain Using a Long Remote Sensing Data Time Series"],"prefix":"10.3390","volume":"16","author":[{"given":"Yan","family":"Zhao","sequence":"first","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"Key Lab of Agri-information Service Technology, Ministry of Agriculture of China, Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China"}]},{"given":"Linyan","family":"Bai","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}]},{"given":"Jianzhong","family":"Feng","sequence":"additional","affiliation":[{"name":"Key Lab of Agri-information Service Technology, Ministry of Agriculture of China, Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China"}]},{"given":"Xiaosong","family":"Lin","sequence":"additional","affiliation":[{"name":"College of architecture and urban planning, Chongqing Jiaotong University, Chongqing 400074, China"}]},{"given":"Li","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}]},{"given":"Lijun","family":"Xu","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"}]},{"given":"Qiyun","family":"Ran","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"Key Lab of Agri-information Service Technology, Ministry of Agriculture of China, Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China"}]},{"given":"Kui","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"Key Lab of Agri-information Service Technology, Ministry of Agriculture of China, Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China"}]}],"member":"1968","published-online":{"date-parts":[[2016,4,19]]},"reference":[{"key":"ref_1","first-page":"1698","article-title":"Impacts of climate change on agricultural production of china","volume":"30","author":"Pan","year":"2011","journal-title":"J. Agro-Environ. Sci."},{"key":"ref_2","first-page":"1877","article-title":"Impact of global climate change on agro-ecosystem: A review","volume":"18","author":"Xiao","year":"2007","journal-title":"Chin. J. Appl. Ecol."},{"key":"ref_3","first-page":"2375","article-title":"Effects of long-term fertilization on soil particulate organic carbon and nitrogen in a wheat-maize cropping system","volume":"19","author":"Gong","year":"2008","journal-title":"Chin. J. Appl. Ecol."},{"key":"ref_4","first-page":"40","article-title":"Characteristics of climate change in the North China plain for recent 45 years","volume":"36","author":"Tan","year":"2010","journal-title":"Meteorol. Mon."},{"key":"ref_5","first-page":"2088","article-title":"Analysis of the potential influence of global climate change on cropping systems in China \u2162. The change characteristics of climatic resources in northern China and its potential influence on cropping systems","volume":"43","author":"Li","year":"2010","journal-title":"Sci. Agric. Sin."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"905","DOI":"10.3724\/SP.J.1011.2010.00905","article-title":"Impact of climatic change on agricultural production and response strategies in China","volume":"18","author":"Liu","year":"2010","journal-title":"Chi. J. Eco-Agric."},{"key":"ref_7","first-page":"889","article-title":"Spatial-temporal difference analysis of arable land use intensity based on emergy in Poyang Lake Eco-economic Zone","volume":"67","author":"Xie","year":"2012","journal-title":"Acta Geogr. Sin."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.3390\/su6031260","article-title":"Exploring the dynamic mechanisms of farmland abandonment based on a spatially explicit economic model for environmental sustainability: A case study in Jiangxi Province, China","volume":"6","author":"Xie","year":"2014","journal-title":"Sustainability"},{"key":"ref_9","first-page":"1940","article-title":"Impacts of land use change on net primary productivity in the Taihu basin, China","volume":"33","author":"Xu","year":"2011","journal-title":"Resour. Sci."},{"key":"ref_10","first-page":"220","article-title":"New method for extracting multiple cropping index of North China Plain based on wavelet transform","volume":"27","author":"Tang","year":"2011","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_11","unstructured":"Shen, X.N., and Liu, Z.H. (1983). More Ripeness Cultivation, Agriulture Press."},{"key":"ref_12","first-page":"628","article-title":"A methodology for retrieving cropping index from NDVI profile","volume":"8","author":"Fan","year":"2004","journal-title":"J. Remote Sens."},{"key":"ref_13","first-page":"3828","article-title":"Crop monitoring using a Multiple Cropping Index based on multi-temporal MODIS data","volume":"7","author":"Peng","year":"2012","journal-title":"Afr. J. Agric. Res."},{"key":"ref_14","first-page":"33","article-title":"A comparison between the algorithms for removing cloud pixel from MODIS NDVI time series data","volume":"1","author":"Liang","year":"2011","journal-title":"Remote Sens. Land Resour."},{"key":"ref_15","first-page":"722","article-title":"Analysis on Spatial and Temporal Pattern of Multiple Cropping Index in Jiangxi Province by Taking County as a Unit","volume":"34","author":"Yang","year":"2013","journal-title":"Res. Agric. Mod."},{"key":"ref_16","first-page":"189","article-title":"Remote Sensing Monitoring Analysis for the Multiple Cropping Index of the Cultivated Land in Shanxi Province based on the Long Time-series NDVI","volume":"32","author":"Zhou","year":"2014","journal-title":"Agric. Res. Arid Areas"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2595","DOI":"10.1080\/01431160500114698","article-title":"Deriving cropping system performance indices using remote sensing data and GIS","volume":"26","author":"Panigrahy","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.rse.2013.02.029","article-title":"Mapping cropping intensity of smallholder farms: A comparison of methods using multiple sensors","volume":"134","author":"Jain","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_19","first-page":"553","article-title":"Progress in the Research on the Multiple Cropping Index","volume":"24","author":"Zuo","year":"2009","journal-title":"J. Nat. Resour."},{"key":"ref_20","first-page":"120","article-title":"Monitoring of Phenology by Reconstructing LAI Time Series Data for Winter Wheat","volume":"29","author":"Liu","year":"2013","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.rse.2006.08.002","article-title":"A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data","volume":"106","author":"Bradley","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1911","DOI":"10.1080\/014311600209814","article-title":"Reconstructing cloudfree NDVI composites using Fourier analysis of time series","volume":"21","author":"Roerink","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.rse.2004.03.014","article-title":"A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter","volume":"91","author":"Chen","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_24","first-page":"2998","article-title":"Comparison and Application Analysis of Several NDVI Time-Series Reconstruction Methods","volume":"47","author":"Zhang","year":"2014","journal-title":"Sci. Agric. Sin."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1080\/17538947.2010.505664","article-title":"A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America","volume":"4","author":"Atzberger","year":"2011","journal-title":"Int. J. Dig. Earth"},{"key":"ref_26","first-page":"2879","article-title":"Recent progresses in monitoring crop spatial patterns by using remote sensing technologies","volume":"43","author":"Tang","year":"2010","journal-title":"Sci. Agric. Sin."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5503","DOI":"10.1080\/01431160601086043","article-title":"Fourier analysis of historical NOAA time series data to estimate bimodal agriculture","volume":"28","author":"Canisius","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2005.09.007","article-title":"Spatio-temporal distribution of rice phenology and cropping systems in the Mekong Delta with special reference to the seasonal water flow of the Mekong and Bassac rivers","volume":"100","author":"Sakamoto","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.rse.2007.05.017","article-title":"Wavelet analysis of modis time series to detect expansion and intensification of row-crop agriculture in brazil","volume":"112","author":"Galford","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_30","first-page":"86","article-title":"The Monitoring for Cropping Index of Arable Land in Northwest Region using SPOT NDVI: A Case of Shaanxi Province","volume":"25","author":"Li","year":"2011","journal-title":"J. Arid Land Resour. Environ."},{"key":"ref_31","first-page":"588","article-title":"The remote sensing inversion for spatial and temporal changes of multiple cropping index and detection for influencing factors around bohai rim in china","volume":"33","author":"Yang","year":"2013","journal-title":"Sci. Geogr. Sin."},{"key":"ref_32","first-page":"141","article-title":"Multiple cropping index of Northern China based on MODIS\/EVI","volume":"25","author":"Zuo","year":"2009","journal-title":"Trans. CSAE"},{"key":"ref_33","first-page":"1915","article-title":"Changes of Cropping System in China Based on Remotely Sensed NDVI data","volume":"48","author":"Yang","year":"2015","journal-title":"Sci. Agric. Sin."},{"key":"ref_34","first-page":"1352","article-title":"The monitoring for sequential cropping index of arable land in Zhejiang Province using MODIS-NDVI","volume":"39","author":"Peng","year":"2006","journal-title":"Sci. Agric. Sin."},{"key":"ref_35","first-page":"559","article-title":"Remotely sensed multiple cropping index variations in China during 1981\u20132000","volume":"60","author":"Yan","year":"2005","journal-title":"Acta Geogr. Sin."},{"key":"ref_36","first-page":"161","article-title":"Preliminary study on cropping pattern mapping using MODIS_EVI image time series","volume":"24","author":"Zhang","year":"2008","journal-title":"Trans. CSAE"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.eja.2004.11.004","article-title":"Mapping multi-year cropping patterns in small irrigation districts from time-series analysis of Landsat TM images","volume":"23","author":"Casterad","year":"2005","journal-title":"Eur. J. Agron."},{"key":"ref_38","first-page":"879","article-title":"Comparison of Kriging interpolation precision in different soil sampling interval in precision agriculture","volume":"42","author":"Jiang","year":"2011","journal-title":"Chin. J. Soil Sci."},{"key":"ref_39","first-page":"31","article-title":"Sensitivity analyses of result of sampling point number on inverse distance weighted inter polation","volume":"4","author":"Wang","year":"2012","journal-title":"Geomat. World"},{"key":"ref_40","unstructured":"Sheng, L.Y., Wang, W.B., and Zhong, S.Y. (2013). China Statistical Yearbook of 2013, China Statistics Press."},{"key":"ref_41","first-page":"949","article-title":"Validation of the GLASS LAI Products in Xilinhot Grassland","volume":"28","author":"Sun","year":"2013","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_42","unstructured":"Liang, S.L., and Xiao, Z.Q. (2012). Global Land Surface Products: Leaf Area Index product data collection (1985\u20132010), Beijing Normal University."},{"key":"ref_43","first-page":"573","article-title":"Validation of Global LAnd Surface Satellite (GLASS) leaf area index product","volume":"18","author":"Xiang","year":"2014","journal-title":"J. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1109\/TGRS.2013.2237780","article-title":"Use of general regression neural networks for generating the GLASS Leaf Area Index Product from Time Series MODIS Surface Reflectance","volume":"52","author":"Xiao","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_45","first-page":"373","article-title":"Study on spatial pattern of land-use change in China during 1995\u20132000","volume":"46","author":"Liu","year":"2003","journal-title":"Sci. Chin."},{"key":"ref_46","unstructured":"National Bureau of Statistics of the People\u2019s Republic of China (1983\u20132013). China Statistical Yearbook."},{"key":"ref_47","first-page":"604","article-title":"Spatiotemporal differences and influencing factors of multiple cropping index in China during 1998\u20132012","volume":"70","author":"Xie","year":"2015","journal-title":"Acta Geogr. Sin."},{"key":"ref_48","first-page":"529","article-title":"Monitoring for Multiple Cropping Index of Cultivated Land in Central China Using Time Series of MODIS-EVI","volume":"19","author":"Wang","year":"2010","journal-title":"Resour. Environ. Yangtze Basin"},{"key":"ref_49","first-page":"21","article-title":"Progress in Multiple Crop Index based on Remote Sensing Technologies","volume":"31","author":"Tang","year":"2010","journal-title":"Chin. J. Agric. Resour. Reg. Plan."},{"key":"ref_50","first-page":"1080","article-title":"Spatial and temporal variations of multiple cropping index in China based on SPOT-NDVI during 1999\u20132013","volume":"70","author":"Ding","year":"2015","journal-title":"Acta Geogr. Sin."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/S1671-2927(07)60036-4","article-title":"Monitoring the Sequential Cropping Index of Arable Land in Zhejiang Province of China Using MODIS-NDVI","volume":"6","author":"Peng","year":"2007","journal-title":"Agric. Sci. China"},{"key":"ref_52","first-page":"199","article-title":"Recent progresses in Monitoring Multiple Cropping Index by Using Remote Sensing Technologies","volume":"30","author":"Zhang","year":"2015","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_53","first-page":"148","article-title":"Spatial and temporal changes of multiple cropping index in 1995\u20132010 in Taihu Lake basin, China","volume":"29","author":"Xu","year":"2013","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_54","first-page":"24","article-title":"Analysis on cropping changes and contributing factors of double cropping: Empirical study based on 10 major rice producing provinces","volume":"11","author":"Yang","year":"2013","journal-title":"Rural Econ."},{"key":"ref_55","first-page":"227","article-title":"Farmland marginalization in the mountainous areas: Characteristics, influencing factors and policy implications","volume":"69","author":"Shao","year":"2014","journal-title":"Acta Geogr. Sin."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.agrformet.2014.06.007","article-title":"A comparative analysis of multitemporal MODIS EVI and NDVI data for large-scale rice yield estimation","volume":"197","author":"Son","year":"2014","journal-title":"Agric. For. Meteorol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1641","DOI":"10.1080\/01431160310001598999","article-title":"Earth observation of vegetation status in the Sahelian and Sudanian West Africa: Comparison of Terra MODIS and NOAA AVHRR satellite data","volume":"25","author":"Fensholt","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.rse.2005.08.014","article-title":"Multi-platform comparisons of MODIS and AVHRR normalized difference vegetation index data","volume":"99","author":"Gallo","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_59","first-page":"1","article-title":"Spatiotemporal changes of vegetation on the Tibetan Plateau and relationship to climatic variables during multiyear periods from 1982\u20132012","volume":"75","author":"Du","year":"2015","journal-title":"Environ. Earth Sci."},{"key":"ref_60","first-page":"134","article-title":"Validation methods of LAI products on the basis of scaling effect","volume":"19","author":"Liao","year":"2015","journal-title":"J. Remote Sens."},{"key":"ref_61","first-page":"492","article-title":"Spatial-temporal Distribution and Developmental Potentials Analysis on Multiple Cropping Index in Shaanxi Province from 2000 to 2012","volume":"32","author":"Zhang","year":"2015","journal-title":"Arid Zone Res."},{"key":"ref_62","first-page":"362","article-title":"Advance in method comparison of reconstructing remote sensing time series data sets","volume":"29","author":"Geng","year":"2014","journal-title":"Remote Sens.Technol. Appl."},{"key":"ref_63","first-page":"2","article-title":"Research on spatial data interpolation based on Kriging interpolation","volume":"16","author":"Zeng","year":"2007","journal-title":"Eng. Surv. Mapp."},{"key":"ref_64","first-page":"52","article-title":"Research on geomagnetic data interpolation based on Kriging","volume":"12","author":"Yu","year":"2012","journal-title":"Ship Electron. Eng."},{"key":"ref_65","first-page":"6216","article-title":"Research on spatiotemporal pattern of crop phenological characteristics and cropping system in North China based on NDVI time series data","volume":"29","author":"Li","year":"2009","journal-title":"Acta Ecol. Sin."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/4\/557\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:22:30Z","timestamp":1760210550000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/4\/557"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,19]]},"references-count":65,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2016,4]]}},"alternative-id":["s16040557"],"URL":"https:\/\/doi.org\/10.3390\/s16040557","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2016,4,19]]}}}