The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Combining remote sensing and ground census data to develop new maps of the distribution of rice agriculture in China
Open accessAbstract
Large‐scale assessments of the potential for food production and its impact on biogeochemical cycling require the best possible information on the distribution of cropland. This information can come from ground‐based agricultural census data sets and/or spaceborne remote sensing products, both with strengths and weaknesses. Official cropland statistics for China contain much information on the distribution of crop types, but are known to significantly underestimate total cropland areas and are generally at coarse spatial resolution. Remote sensing products can provide moderate to fine spatial resolution estimates of cropland location and extent, but supply little information on crop type or management. We combined county‐scale agricultural census statistics on total cropland area and sown area of 17 major crops in 1990 with a fine‐resolution land‐cover map derived from 1995–1996 optical remote sensing (Landsat) data to generate 0.5° resolution maps of the distribution of rice agriculture in mainland China. Agricultural census data were used to determine the fraction of crop area in each 0.5° grid cell that was in single rice and each of 10 different multicrop paddy rice rotations (e.g., winter wheat/rice), while the remote sensing land‐cover product was used to determine the spatial distribution and extent of total cropland in China. We estimate that there were 0.30 million km2 of paddy rice cropland; 75% of this paddy land was multicropped, and 56% had two rice plantings per year. Total sown area for paddy rice was 0.47 million km2. Paddy rice agriculture occurred on 23% of all cultivated land in China.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“On the other, however, single cropping dominates the U.S. crop systems, while multiple cropping has been significantly contributing to the overall harvest area and total annual crop production in China [56,57].”
From Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment (2018) · cites this paper as [57]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
HUMAN ALTERATION OF THE GLOBAL NITROGEN CYCLE: SOURCES AND CONSEQUENCES
Vitousek, P. M., Aber, J. D., Howarth, R. W., Likens, G. E., Matson, P. A., Schindler, D. W., Schlesinger, W. H., & Tilman, D. G. (1997) · Ecological Applications · doi:10.1890/1051-0761(1997)007[0737:haotgn]2.0.co;2 · Cited by 5,604
Estimating global land use change over the past 300 years: the HYDE database
Goldewijk, K. K. (2001) · Global Biogeochemical Cycles · doi:10.1029/1999gb001232 · Cited by 984
Bureau, C. S. S. (1985) · Oxford University Press eBooks · Cited by 736
Crop Rotation and Tillage Effects on Soil Organic Carbon and Nitrogen
Havlin, J. L., Kissel, D. E., Maddux, L. D., Claassen, M. M., & Long, J. H. (1990) · Soil Science Society of America Journal · doi:10.2136/sssaj1990.03615995005400020026x · Cited by 652
Biomass burning and global change
Levine, J. S., Cofer, W. R., Cahoon, D. R., Winsted, E. L., & Stocks, B. J. (1992) · AIP conference proceedings · doi:10.1063/1.43899 · Cited by 645
Technical Report: Human Alteration of the Global Nitrogen Cycle: Sources and Consequences
Vitousek, P. M., Aber, J. D., Howarth, R. W., Likens, G. E., Matson, P. A., Schindler, D. W., Schlesinger, W. H., & Tilman, D. G. (1997) · Ecological Applications · doi:10.2307/2269431 · Cited by 569
Modeling carbon biogeochemistry in agricultural soils
Li, C., Frolking, S., & Harriss, R. C. (1994) · Global Biogeochemical Cycles · doi:10.1029/94gb00767 · Cited by 486
Characterizing patterns of global land use: An analysis of global croplands data
Ramankutty, N., & Foley, J. A. (1998) · Global Biogeochemical Cycles · doi:10.1029/98gb02512 · Cited by 402
Soil management and greenhouse effect
(1996) · Choice Reviews Online · doi:10.5860/choice.33-2731 · Cited by 401
Xiao, X., Boles, S. H., Frolking, S., Salas, W., Moore, B., Li, C., Li, H., & Zhao, R. (2002) · International Journal of Remote Sensing · doi:10.1080/01431160110107734 · Cited by 388
Flagged first, then by citations
Research works printed but not linked: 11
- Crook F., 1993, in China International Agricultural and Trade Report, 33
- Editorial Committee, 1991, Hubei Province Agricultural Statistical Yearbook – 1991(in Chinese)
- Fu L. Q., 1993, in Remote Sensing Technique for Wheat, Maize, and Rice Yield Estimation, 8
- Lal R., 1995, in Soil Management and the Greenhouse Effect, 41
- Liu J., 1996, Macro‐Scale Survey and Dynamic Study of Natural Resources and Environment of China by Remote Sensing (in Chinese)
- 10.1111/j.1467-8306.1995.tb01797.x-i1 · DOI
- Prather M., 1995, in Climate Change 1994, 77
- Tang X. Studies on geo‐spatial data fusion and its applications Ph.D. dissertation Institute of Remote Sensing Applications (in Chinese) 139 pp. Chin. Acad. of Sci. Beijing 2000.
- Wu C. (Editor in Chief) Land‐Use Map of China(1:1 000 000 scale) Science Press Beijing (In Chinese) 1990.
- Xi C., 1998, Soil of China (in Chinese)
- Yuyun B. I., 2000, Actual changes of cultivated area since the founding of the new China (in Chinese), Resour. Sci., 22, 8
Cited by
Sorted by citations
Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000
Ramankutty, N., Evan, A. T., Monfreda, C., & Foley, J. A. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb002952 · Cited by 1,942
Portmann, F. T., Siebert, S., & Döll, P. (2010) · Global Biogeochemical Cycles · doi:10.1029/2008gb003435 · Cited by 1,586
Monfreda, C., Ramankutty, N., & Foley, J. A. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb002947 · Cited by 1,895
Anthropogenic land use estimates for the Holocene – HYDE 3.2
Klein Goldewijk, K., Beusen, A., Doelman, J., & Stehfest, E. (2017) · Earth System Science Data · doi:10.5194/essd-9-927-2017 · Cited by 1,204
Houghton, R. A. (2003) · Tellus B · doi:10.3402/tellusb.v55i2.16764 · Cited by 1,186
Mapping paddy rice agriculture in southern China using multi-temporal MODIS images
Xiao, X., Boles, S. H., Liu, J., Zhuang, D., Frolking, S., Li, C., Salas, W., & Moore, B. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.12.009 · Cited by 1,067
LIU, J., Liu, M., Tian, H., Zhuang, D., Zhang, Z., Zhang, W. Y., Tang, X., & DENG, X. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.08.012 · Cited by 976
Zhang, A., Cui, L., Pan, G., Li, L., Hussain, Q., Zhang, X., Zheng, J., & Crowley, D. E. (2010) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2010.09.003 · Cited by 872
Zou, J., Huang, Y., Jiang, J., Zheng, X., & Sass, R. L. (2005) · Global Biogeochemical Cycles · doi:10.1029/2004gb002401 · Cited by 782
Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images
Xiao, X., Boles, S. H., Frolking, S., Li, C., Babu, J. Y., Salas, W., & Moore, B. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.10.004 · Cited by 780
Shang, Q., Yang, X., Gao, C., Wu, P., JinJian, L., Xu, Y., Shen, Q., Zou, J., & Guo, S. (2010) · Global Change Biology · doi:10.1111/j.1365-2486.2010.02374.x · Cited by 540
Cultivated land conversion and potential agricultural productivity in China
Deng, X., Huang, J., Rozelle, S., & Uchida, E. (2005) · Land Use Policy · doi:10.1016/j.landusepol.2005.07.003 · Cited by 388
Chen, J., Liu, X., Zheng, J., Zhang, B., Lu, H., Chi, Z., Pan, G., Li, L., Zheng, J., Zhang, X., et al. (2013) · Applied Soil Ecology · doi:10.1016/j.apsoil.2013.05.003 · Cited by 392
Tao, F., Yokozawa, M., Liu, J., & Zhang, Z. (2008) · Climate Research · doi:10.3354/cr00771 · Cited by 369
Salmon, J. M., Friedl, M. A., Frolking, S., Wisser, D., & Douglas, E. (2015) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2015.01.014 · Cited by 373
Zheng, J., Chen, J., Pan, G., Liu, X., Zhang, X., Li, L., Bian, R., Cheng, K., & Jinwei, Z. (2016) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2016.07.135 · Cited by 348
Ladha, J. K., Peoples, M. B., Reddy, P. M., Biswas, J. C., Bennett, A. B., Jat, M. L., & Krupnik, T. J. (2022) · Field Crops Research · doi:10.1016/j.fcr.2022.108541 · Cited by 336
Evolution of regional to global paddy rice mapping methods: A review
Dong, J.-W., & Xiao, X.-M. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2016.05.010 · Cited by 291
Waha, K., Müller, C., Bondeau, A., Dietrich, J. P., Kurukulasuriya, P., Heinke, J., & Lotze‐Campen, H. (2012) · Global Environmental Change · doi:10.1016/j.gloenvcha.2012.11.001 · Cited by 314
Luo, Y., Zhang, Z., Chen, Y., Li, Z., & Tao, F. (2020) · Earth system science data · doi:10.5194/essd-12-197-2020 · Cited by 322
Multiple cropping systems of the world and the potential for increasing cropping intensity
Waha, K., Dietrich, J. P., Portmann, F. T., Siebert, S., Thornton, P. K., Bondeau, A., & Herrero, M. (2020) · Global Environmental Change · doi:10.1016/j.gloenvcha.2020.102131 · Cited by 304
Modeling greenhouse gas emissions from rice‐based production systems: Sensitivity and upscaling
Li, C., Mosier, A. R., Waßmann, R., Cai, Z. C., Zheng, X., Huang, Y., Tsuruta, H., Boonjawat, J., & Lantin, R. S. (2004) · Global Biogeochemical Cycles · doi:10.1029/2003gb002045 · Cited by 291
Zou, J., Huang, Y., Zheng, X., & Wang, Y. (2007) · Atmospheric Environment · doi:10.1016/j.atmosenv.2007.06.049 · Cited by 282
Mapping rice areas of South Asia using MODIS multitemporal data
Gumma, M. K., Nelson, A., Thenkabail, P. S., & Singh, A. N. (2011) · Journal of Applied Remote Sensing · doi:10.1117/1.3619838 · Cited by 261
Ma, Y. C., Kong, X., Yang, B., Zhang, X. L., Yan, X., Yang, J., & Xiong, Z. (2012) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2012.11.003 · Cited by 259
Chapter 3 Crop Residue Management for Lowland Rice-Based Cropping Systems in Asia
Sıngh, B., Shan, Y., Johnson‐Beebout, S. E., Yadvinder‐Singh, & Buresh, R. J. (2008) · Advances in agronomy · doi:10.1016/s0065-2113(08)00203-4 · Cited by 252
Erb, K., Gaube, V., Krausmann, F., Plutzar, C., Bondeau, A., & Haberl, H. (2007) · Journal of Land Use Science · doi:10.1080/17474230701622981 · Cited by 243
Sources and sinks of carbon from land‐use change in China
Houghton, R. A., & Hackler, J. L. (2003) · Global Biogeochemical Cycles · doi:10.1029/2002gb001970 · Cited by 237
Luo, Y., Zhang, Z., Li, Z., Chen, Y., Zhang, L., Cao, J., & Tao, F. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab80f0 · Cited by 225
Xin, F., Xiao, X., Dong, J., Zhang, G., Zhang, Y., Wu, X., Li, X., Zou, Z., Ma, J., Du, G., et al. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135183 · Cited by 223
Kontgis, C. P., Schneider, A., & Mutlu Ozdogan, A. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.08.004 · Cited by 214
Inventory of anthropogenic methane emissions in mainland China from 1980 to 2010
Peng, S., Piao, S., Bousquet, P., Ciais, P., Li, B.-G., Lin, X., Tao, S., Wang, Z.-P., Zhang, Y., & Zhou, F. (2016) · Atmospheric chemistry and physics · doi:10.5194/acp-16-14545-2016 · Cited by 182
Qin, Y., Liu, S., Guo, Y., Liu, Q., & Zou, J. (2010) · Biology and Fertility of Soils · doi:10.1007/s00374-010-0493-5 · Cited by 200
Hu, N., Wang, B., Gu, Z., Tao, B., ZhengWen, Z., Hu, S., Zhu, L., & Meng, Y. (2016) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2016.02.027 · Cited by 199
Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series
Filho, H. C. D. C., Júnior, O. A. D. C., de Carvalho, O. L. F., de Bem, P. P., de Moura, R. D. S., de Albuquerque, A. O., Silva, C. R., Ferreira, P. H. G., Guimarães, R. F., & Gomes, R. A. T. (2020) · Remote Sensing · doi:10.3390/rs12162655 · Cited by 215
Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015
Zhang, G., Xiao, X., Biradar, Ç., Dong, J., Qin, Y., Menarguez, M. A., Zhou, Y., Zhang, Y., Jin, C., Wang, J., et al. (2016) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2016.10.223 · Cited by 196
Phalke, A. R., Özdoğan, M., Thenkabail, P. S., Erickson, T. A., Gorelick, N., Yadav, K., & Congalton, R. G. (2020) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2020.06.022 · Cited by 201
Li, C., Salas, W., DeAngelo, B. J., & Rose, S. K. (2006) · Journal of Environmental Quality · doi:10.2134/jeq2005.0208 · Cited by 191
Global Patterns of Cropland Use Intensity
Siebert, S., Portmann, F. T., & Döll, P. (2010) · Remote Sensing · doi:10.3390/rs2071625 · Cited by 191
Smith, P., Davies, C. A., Ogle, S., Zanchi, G., Bellarby, J., Bird, N., Boddey, R. M., McNamara, N. P., Powlson, D., Cowie, A., et al. (2012) · Global Change Biology · doi:10.1111/j.1365-2486.2012.02689.x · Cited by 185
Hou, H., Peng, S., Xu, J., Yang, S., & Mao, Z. (2012) · Chemosphere · doi:10.1016/j.chemosphere.2012.04.066 · Cited by 181
Wang, C., Liu, J., Shen, J., Chen, D., Li, Y., Jiang, B., & Wu, J. (2018) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2018.04.017 · Cited by 183
Li, C., Frolking, S., Xiao, X., Moore, B., Boles, S., Qiu, J., Huang, Y., Salas, W., & Sass, R. L. (2005) · Global Biogeochemical Cycles · doi:10.1029/2004gb002341 · Cited by 180
Biggs, T. W., Thenkabail, P. S., Gumma, M. K., Scott, C. A., Parthasaradhi, G., & Turral, H. N. (2006) · International Journal of Remote Sensing · doi:10.1080/01431160600851801 · Cited by 179
Long-term climate change impacts on agricultural productivity in eastern China
Chavas, D. R., Izaurralde, R. C., Thomson, A. M., & Gao, X. (2009) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2009.02.001 · Cited by 179
Li, C., Qiu, J., Frolking, S., Xiao, X., Salas, W., Moore, B., Boles, S., Huang, Y., & Sass, R. L. (2002) · Geophysical Research Letters · doi:10.1029/2002gl015370 · Cited by 179
Use of ENVISAT/ASAR wide-swath data for timely rice fields mapping in the Mekong River Delta
Bouvet, A., & Toan, T. L. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.12.014 · Cited by 178
Yao, Z., Zheng, X., Dong, H., Wang, R., Mei, B., & Zhu, J. (2012) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2012.02.004 · Cited by 178
Qin, Z., Zhuang, Q., Cai, X., He, Y., Huang, Y., Jiang, D., Lin, E., Liu, Y., Tang, Y., & Wang, M. Q. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.08.073 · Cited by 174
Zhang, Z. S., Guo, L., Liu, T. Q., Li, C. F., & Cao, C. (2015) · Atmospheric Environment · doi:10.1016/j.atmosenv.2015.09.065 · Cited by 167
An automated rice mapping method based on flooding signals in synthetic aperture radar time series
Zhan, P., Zhu, W., & Li, N. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.112112 · Cited by 167
Zou, J., Huang, Y., Qin, Y., LIU, S., Shen, Q., PAN, G., Lu, Y., & LIU, Q. (2008) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01775.x · Cited by 165
Shah, S. R., Qadri, S., Bibi, H., Shah, S. M. W., Sharif, M. I., & Marinello, F. (2023) · Agronomy · doi:10.3390/agronomy13061633 · Cited by 163
Chen, J., Liu, X., Li, L., Zheng, J., Qu, J., Zheng, J., Zhang, X., & Pan, G. (2015) · Applied Soil Ecology · doi:10.1016/j.apsoil.2015.02.012 · Cited by 162
Liu, S., Qin, Y., Zou, J., & Liu, Q. (2009) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2009.11.002 · Cited by 158
Land cover characterization of Temperate East Asia using multi-temporal VEGETATION sensor data
Boles, S. H., Xiao, X., Liu, J., Zhang, Q., Munkhtuya, S., Chen, S., & Ojima, D. S. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.01.016 · Cited by 158
Qin, Y., Xiao, X., Dong, J., Zhou, Y., Zhu, Z., Zhang, G., Du, G., Jin, C., Kou, W., Wang, J., et al. (2015) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.04.008 · Cited by 153
Mapping Crop Cycles in China Using MODIS-EVI Time Series
Li, L., Friedl, M. A., Xin, Q., Gray, J., Pan, Y., & Frolking, S. (2014) · Remote Sensing · doi:10.3390/rs6032473 · Cited by 147
Direct human influence on atmospheric CO2 seasonality from increased cropland productivity
Gray, J., Frolking, S., Kort, E. A., Ray, D. K., Kucharik, C. J., Ramankutty, N., & Friedl, M. A. (2014) · Nature · doi:10.1038/nature13957 · Cited by 146
Occurrence of crop pests and diseases has largely increased in China since 1970
Wang, C., Wang, X., Jin, Z., Müller, C., Pugh, T. A. M., Chen, A., Wang, T., Huang, L., Zhang, Y., Li, L., et al. (2021) · Nature Food · doi:10.1038/s43016-021-00428-0 · Cited by 147
Liu, X.-Y., Qu, J.-J., Li, L.-Q., Zhang, A.-F., Jufeng, Z., Zheng, J.-W., & Pan, G.-X. (2012) · Ecological Engineering · doi:10.1016/j.ecoleng.2012.01.016 · Cited by 136
Natural disasters detection in social media and satellite imagery: a survey
Said, N., Ahmad, K., Riegler, M., Pogorelov, K., Hassan, L., Ahmad, N., & Conci, N. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-07942-1 · Cited by 133
Qian, L., Chen, L., Joseph, S. D., Pan, G., Li, L., Zheng, J., Zhang, X., Zheng, J., Yu, X., & Wang, J. (2014) · Carbon Management · doi:10.1080/17583004.2014.912866 · Cited by 122
Zhang, A., Bian, R., Hussain, Q., Li, L., Pan, G., Zheng, J., Zhang, X., & Zheng, J. (2013) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2013.04.001 · Cited by 119
Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series
Clauss, K., Yan, H., & Kuenzer, C. (2016) · Remote Sensing · doi:10.3390/rs8050434 · Cited by 116
Zhang, Y., & Niu, H. (2016) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2016.06.017 · Cited by 115
Wang, H., Shen, M., Hui, D., Chen, J., Sun, G., Wang, X., Lu, C., Sheng, J., LiuGen, C., Luo, Y., et al. (2019) · Soil and Tillage Research · doi:10.1016/j.still.2019.104377 · Cited by 112
Direct emission factor for NO from rice–winter wheat rotation systems in southeast China
Zou, J., Huang, Y., LU, Y., Zheng, X., & Wang, Y. (2005) · Atmospheric Environment · doi:10.1016/j.atmosenv.2005.04.028 · Cited by 114
Pan, L., Xia, H., Yang, J., Niu, W., Wang, R., Song, H., Guo, Y., & Qin, Y. (2021) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2021.102376 · Cited by 116
Pan, L., Xia, H., Zhao, X., Guo, Y., & Qin, Y. (2021) · Remote Sensing · doi:10.3390/rs13132510 · Cited by 110
Li, H., Song, X., Hansen, M. C., Becker‐Reshef, I., Adusei, B., Pickering, J., Wang, L., Wang, L., Lin, Z., Zalles, V., et al. (2023) · Remote Sensing of Environment · doi:10.1016/j.rse.2023.113623 · Cited by 110
Mapping contemporary global cropland and grassland distributions on a 5 × 5 minute resolution
Goldewijk, K. K., Drecht, G. V., & Bouwman, L. (2007) · Journal of Land Use Science · doi:10.1080/17474230701622940 · Cited by 109
Climate change and critical thresholds in China’s food security
Xiong, W., Lin, E., Ju, H., & Xu, Y. (2007) · Climatic Change · doi:10.1007/s10584-006-9123-5 · Cited by 107
Sewage irrigation increased methane and nitrous oxide emissions from rice paddies in southeast China
Zou, J., Liu, S., Qin, Y., Pan, G., & Zhu, D. (2008) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2008.11.006 · Cited by 108
Effects of controlled irrigation and drainage on growth, grain yield and water use in paddy rice
Shao, G., Deng, S., Liu, N., Yu, S., Wang, M., & She, D. (2013) · European Journal of Agronomy · doi:10.1016/j.eja.2013.10.005 · Cited by 107
He, Y., Dong, J., Liao, X., Sun, L., Wang, Z., You, N., Li, Z., & Fu, P. (2021) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2021.102351 · Cited by 108
Gao, B., Ju, X., Zhang, Q., Christie, P., & Zhang, F. S. (2011) · Biogeosciences · doi:10.5194/bg-8-3011-2011 · Cited by 106
Re-estimating NH3 Emissions from Chinese Cropland by a New Nonlinear Model
Zhou, F., Ciais, P., Hayashi, K., Galloway, J. N., Kim, D., Yang, C., Li, S., Liu, B., Shang, Z., & Gao, S. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b03156 · Cited by 105
Guo, T., Zhang, Q., Ai, C., Liang, G., He, P., & Zhou, W. (2018) · Scientific Reports · doi:10.1038/s41598-018-20293-5 · Cited by 105
Zhang, L., Jianchu, Z., LiuGen, C., Shen, M., Zhang, X., Zhang, M., Bian, X., Zhang, J., & Zhang, W. (2014) · European Journal of Agronomy · doi:10.1016/j.eja.2014.11.005 · Cited by 104
BRASWELL, B. H., Hagen, S. C., Frolking, S., & Salas, W. A. (2003) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.06.002 · Cited by 100
Liu, B., Li, H., Li, H., Zhang, A., & Rengel, Z. (2020) · GCB Bioenergy · doi:10.1111/gcbb.12766 · Cited by 103
Shang, Q., Gao, C., Yang, X., Wu, P., Ling, N., Shen, Q., & Guo, S. (2013) · Biology and Fertility of Soils · doi:10.1007/s00374-013-0891-6 · Cited by 96
Liu, Y., Zhou, Z., Zhang, X., Xu, X. Y., Chen, H., & Xiong, Z. (2015) · Atmospheric Environment · doi:10.1016/j.atmosenv.2015.06.018 · Cited by 96
Modeling soil organic carbon change in croplands of China, 1980–2009
Yu, Y., Huang, Y., & Zhang, W. J. (2011) · Global and Planetary Change · doi:10.1016/j.gloplacha.2011.12.005 · Cited by 95
Wang, W., Sardans, J., Lai, D. Y. F., Wang, C., Zeng, C., Tong, C., Liang, Y., & Peñuelas, J. (2014) · Field Crops Research · doi:10.1016/j.fcr.2014.10.014 · Cited by 93
Cai, X., & Sharma, B. R. (2009) · Agricultural Water Management · doi:10.1016/j.agwat.2009.09.021 · Cited by 93
Wang, J., Hasegawa, T., Li, L., Lam, S. K., Zhang, X., Liu, X., & Pan, G. (2018) · New Phytologist · doi:10.1111/nph.15661 · Cited by 92
Mansaray, L. R., Wang, F., Huang, J., Yang, L., & Kanu, A. S. (2019) · Geocarto International · doi:10.1080/10106049.2019.1568586 · Cited by 92
Change analysis of rice area and production in China during the past three decades
Liu, Z., Li, Z., Tang, P., Li, Z., Wu, W., Yang, P., You, L., & Tang, H. (2013) · Journal of Geographical Sciences · doi:10.1007/s11442-013-1059-x · Cited by 91
Wang, J., Xiao, X., Qin, Y., Dong, J., Zhang, G., Kou, W., Jin, C., Zhou, Y., & Zhang, Y. (2015) · Scientific Reports · doi:10.1038/srep10088 · Cited by 90
Wang, S., Shan, J., Xia, Y., Tang, Q., Xia, L., Lin, J., & Yan, X. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.03.159 · Cited by 91
Ni, K., Wang, Y., Li, D., Cai, Y., & Pang, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0121967 · Cited by 89
Mapping Asian Cropping Intensity With MODIS
Gray, J., Friedl, M. A., Frolking, S., Ramankutty, N., Nelson, A., & Gumma, M. K. (2014) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2014.2344630 · Cited by 88
Multiple cropping intensity in China derived from agro-meteorological observations and MODIS data
Yan, H., Xiao, X., Huang, H., Liu, J., Chen, J., & Bai, X. (2013) · Chinese Geographical Science · doi:10.1007/s11769-013-0637-2 · Cited by 87
Changes in Arable Land Demand for Food in India and China: A Potential Threat to Food Security
Nath, R., Luan, Y., Yang, W., Yang, C., Chen, W., Li, Q., & Cui, X. (2015) · Sustainability · doi:10.3390/su7055371 · Cited by 86
Kibue, G. W., Liu, X., Zheng, J., Zhang, X., Pan, G., Li, L., & Han, X. (2016) · Environmental Management · doi:10.1007/s00267-016-0661-y · Cited by 84
Zhou, M., Zhu, B., Brüggemann, N., Wang, X., Zheng, X., & Butterbach‐Bahl, K. (2015) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2015.07.010 · Cited by 83
Xu, J., Zhao, B., Chu, W., Mao, J., & Zhang, J. (2016) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2016.10.118 · Cited by 81
Wang, J., Liu, X., Zhang, X., Smith, P., Li, L., Filley, T. R., Cheng, K., Shen, M., He, Y., & Pan, G. (2016) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2016.01.028 · Cited by 81
Metadata
- Authors
- Frolking, S., Qiu, J., Boles, S., Xiao, X., Liu, J., Zhuang, Y., Li, C., & Qin, X.
- Affiliations
- University of New Hampshire (US)
- Institute of Agricultural Resources and Regional Planning (CN)
- Chinese Academy of Sciences (CN)
- Venue
- Global Biogeochemical Cycles
- Publisher
- American Geophysical Union (AGU)
- Published
- 2002-11-19
- Volume
- 16
- Issue
- 4
- ISSN
- 0886-6236 (ISSN-L)
- 1944-9224
- OpenAlex
- W1891144596
- Cited by
- 348
- References
- 28
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 19 · 2023: 25 · 2022: 23 · 2021: 26 · 2020: 17 · 2019: 16 · 2018: 20 · 2017: 19 · 2016: 19 · 2015: 23 · 2014: 21 · 2013: 15 · 2012: 18
- FWCI
- 7.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Global Biogeochemical Cycles (publishedVersion)
- University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) (submittedVersion)
- Funders
- National Science Foundation
- U.S. Department of Energy
- National Aeronautics and Space Administration
- U.S. Department of Agriculture
- Chinese Academy of Sciences
- Chinese Academy of Agricultural Sciences
- Topics
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Social Sciences › Geography, Planning and Development › Remote Sensing and Land Use
- Keywords
- rice cultivation, paddy rice, cropland distribution, agricultural census data, Landsat, crop rotation, multiple cropping, sown area, food production potential, China
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review