华北平原2002年和2012年农业土地利用变化（英文）
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摘要
Based on the MODIS NDVI data and Landsat TM/ETM data of 2002 and 2012, this paper extracts the planting area of winter wheat–summer maize, single spring maize, cotton and forest/fruit trees, vegetable and paddy, and made the agricultural land use map of the North China Plain(NCP). Agricultural land use area accounted for 63.32% compared to the total area of the NCP in 2002. And it increased to 65.66% in 2012, which mainly caused by the vegetables and forest/fruit trees increasing. Planting areas of winter wheat–summer maize, cotton, single spring maize, forest/fruit trees, vegetables and paddy were 5031.21×10~3, 865.90×10~3, 1226.10×10~3, 1271.17×10~3, 648.02×10~3, 216.51×10~3 ha in 2012. Rank of changes was: vegetables(+45%) > forest/fruit trees(+27.4%) > paddy(–23.7%) > cotton(–20.4%) > single spring maize(+17.3%) > winter wheat–summer maize(–0.6%). In developed region like Beijing and Tianjin, planting area of crops with high economic benefit(such as fruit trees and vegetables) increased significantly. Government policies for groundwater protection caused obvious decline of winter wheat cultivation in Hebei Province. Cotton planting in Shandong Province decreased more than 200,000 ha during 2002–2012. The data products will be published in the website: http://hydro.sjziam.ac.cn/Default.aspx. To clarify the agricultural land use in the NCP will be very helpful for the regional agricultural water consumption research, which is the serious problem in the NCP.
Based on the MODIS NDVI data and Landsat TM/ETM data of 2002 and 2012, this paper extracts the planting area of winter wheat–summer maize, single spring maize, cotton and forest/fruit trees, vegetable and paddy, and made the agricultural land use map of the North China Plain(NCP). Agricultural land use area accounted for 63.32% compared to the total area of the NCP in 2002. And it increased to 65.66% in 2012, which mainly caused by the vegetables and forest/fruit trees increasing. Planting areas of winter wheat–summer maize, cotton, single spring maize, forest/fruit trees, vegetables and paddy were 5031.21×10~3, 865.90×10~3, 1226.10×10~3, 1271.17×10~3, 648.02×10~3, 216.51×10~3 ha in 2012. Rank of changes was: vegetables(+45%) > forest/fruit trees(+27.4%) > paddy(–23.7%) > cotton(–20.4%) > single spring maize(+17.3%) > winter wheat–summer maize(–0.6%). In developed region like Beijing and Tianjin, planting area of crops with high economic benefit(such as fruit trees and vegetables) increased significantly. Government policies for groundwater protection caused obvious decline of winter wheat cultivation in Hebei Province. Cotton planting in Shandong Province decreased more than 200,000 ha during 2002–2012. The data products will be published in the website: http://hydro.sjziam.ac.cn/Default.aspx. To clarify the agricultural land use in the NCP will be very helpful for the regional agricultural water consumption research, which is the serious problem in the NCP.
Based on the MODIS NDVI data and Landsat TM/ETM data of 2002 and 2012, this paper extracts the planting area of winter wheat–summer maize, single spring maize, cotton and forest/fruit trees, vegetable and paddy, and made the agricultural land use map of the North China Plain(NCP). Agricultural land use area accounted for 63.32% compared to the total area of the NCP in 2002. And it increased to 65.66% in 2012, which mainly caused by the vegetables and forest/fruit trees increasing. Planting areas of winter wheat–summer maize, cotton, single spring maize, forest/fruit trees, vegetables and paddy were 5031.21×10~3, 865.90×10~3, 1226.10×10~3, 1271.17×10~3, 648.02×10~3, 216.51×10~3 ha in 2012. Rank of changes was: vegetables(+45%) > forest/fruit trees(+27.4%) > paddy(–23.7%) > cotton(–20.4%) > single spring maize(+17.3%) > winter wheat–summer maize(–0.6%). In developed region like Beijing and Tianjin, planting area of crops with high economic benefit(such as fruit trees and vegetables) increased significantly. Government policies for groundwater protection caused obvious decline of winter wheat cultivation in Hebei Province. Cotton planting in Shandong Province decreased more than 200,000 ha during 2002–2012. The data products will be published in the website: http://hydro.sjziam.ac.cn/Default.aspx. To clarify the agricultural land use in the NCP will be very helpful for the regional agricultural water consumption research, which is the serious problem in the NCP.
引文
An G,2018.Study on spatio-temporal change of ecological land in Yellow River Delta based on RS&GIS.E3SWeb of Conferences.EDP Sciences,38:01008.https://doi.org/10.1051/e3sconf/20183801008.
Boryan C,Yang Z,Mueller R et al.,2011.Monitoring US agriculture:The US Department of Agriculture,National Agricultural Statistics Service,Cropland Data Layer Program.Geocarto International,26(5):341-358.
Breiman L,Friedam J H,Olshen R A et al.,1984.Classification and Regression Trees.Belmont:Wadsworth International Group,1-358.
Chaudhuri A S,Singh P,Rai S C,2018.Modelling LULC change dynamics and its impact on environment and water security:geospatial technology based assessment.Ecology,Environment and Conservation,24(Suppl.):S292-S298.
Clevers J G P W,1997.A simplified approach for yield prediction of sugar beet based on optical remote sensing data.Remote Sensing of Environment,61(2):221-228.
Cohen Y,Shoshany M,2002.A national knowledge-based crop recognition in Mediterranean environment.International Journal of Applied Earth Observation and Geoinformation,4(1):75-87.
Conrad C,Lamers J P A,Ibragimov N et al.,2016.Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing:A case study on post-Soviet agricultural land use.Journal of Arid Environments,124:150-159.
de Oliveira S N,de Carvalho Júnior O A,Gomes R A T et al.,2017.Landscape-fragmentation change due to recent agricultural expansion in the Brazilian Savanna,Western Bahia,Brazil.Regional Environmental Change,17(2):411-423.
Fan J,Wu B,2004.A methodology for retrieving cropping index from NDVI profile.Journal of Remote Sensing,8(6):628-636.(in Chinese).
Fang Q,Ma L,Green T et al.,2010.Water resources and water use efficiency in the North China Plain:Current status and agronomic management options.Agricultural Water Management,97(8):1102-1116.
Frolking S,Qiu J,Boles S et al.,2002.Combining remote sensing and ground census data to develop new maps of the distribution of rice agriculture in China.Global Biogeochemical Cycles,16(4):38-1-38-10.
Gallego F,1999.Crop area estimation in the MARS Project.Conference on ten years of the MARS Project.
Kingra P,Majumder D,Singh S P,2016.Application of remote sensing and GIS in agriculture and natural resource management under changing climatic conditions.Agricultural Research Journal,53(3):295-302.
Kleweno D D,Miller C E,1981.1980 AgRISTARS DC/LC Project Summary Crop Area Estimates for Kansas and Iowa.U.S.Department of Agriculture Economics and Statistics Service Statistical Research Division.ESSStaff Report,No.AGESS-810414.
Li X,Tong L,Niu J et al.,2017.Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor,Northwest China.Agricultural Water Management,179:55-63.
Liang S,Ma W,Sui X et al.,2017.Extracting the spatiotemporal pattern of cropping systems from NDVI time series using a combination of the spline and HANTS algorithms:A case study for Shandong Province.Canadian Journal of Remote Sensing,43(1):1-15.
Liu J,Kuang W,Zhang Z et al.,2014.Spatiotemporal characteristics,patterns,and causes of land-use changes in China since the late 1980s.Journal of Geographical Sciences,24(2):195-210.
Liu J,Liu M,Tian H et al.,2005.Spatial and temporal patterns of China's cropland during 1990-2000:An analysis based on Landsat TM data.Remote Sensing of Environment,98(4):442-456.
Liu J,Liu M,Zhuang D et al.,2003.Study on spatial pattern of land-use change in China during 1995-2000.Science in China Series D:Earth Sciences,46(4):373-384.
Liu J,Zhang Z,Xu X et al.,2010.Spatial patterns and driving forces of land use change in China during the early21st century.Journal of Geographical Sciences,20(4):483-494.
Lu Y,Zhang X,Chen S et al.,2016.Changes in water use efficiency and water footprint in grain production over the past 35 years:A case study in the North China Plain.Journal of Cleaner Production,116:71-79.
MacDonald R,Hall F G,Erb R,1975.The use of Landsat data in a large area crop inventory experiment(LACIE).
Marshall M,Thenkabail P,2015.Developing in situ non-destructive estimates of crop biomass to address issues of scale in remote sensing.Remote Sensing,7(1):808.
Murakami T,Ogawa S,Ishitsuka N et al.,2001.Crop discrimination with multitemporal SPOT/HRV data in the Saga Plains,Japan.International Journal of Remote Sensing,22(7):1335-1348.
Oguro Y,Suga Y,Takeuchi S et al.,2001.Comparison of SAR and optical sensor data for monitoring of rice plant around Hiroshima.Advances in Space Research,28(1):195-200.
Panigrahy S,Sharma S A,1997.Mapping of crop rotation using multidate Indian remote sensing satellite digital data.ISPRS Journal of Photogrammetry and Remote Sensing,52(2):85-91.
Pei H,Scanlon B R,Shen Y et al.,2015.Impacts of varying agricultural intensification on crop yield and groundwater resources:Comparison of the North China Plain and US High Plains.Environmental Research Letters,10(4):044013.
Roerink G,Menenti M,Verhoef W,2000.Reconstructing cloudfree NDVI composites using Fourier analysis of time series.International Journal of Remote Sensing,21(9):1911-1917.
Serra P,Salvati L,Queralt E et al.,2016.Estimating water consumption and irrigation requirements in a long-established mediterranean rural community by remote sensing and field data.Irrigation and Drainage,65(5):578-588.
Tang H,Wu W,Yang P et al.,2010.Recent progresses in monitoring crop spatial patterns by using remote sensing technologies.Scientia Agricultura Sinica,43(14):2879-2888.
Turner M D,Congalton R G,1998.Classification of multi-temporal SPOT-XS satellite data for mapping rice fields on a West African floodplain.International Journal of Remote Sensing,19(1):21-41.
Wardlow B D,Egbert S L,2008.Large-area crop mapping using time-series MODIS 250 m NDVI data:An assessment for the U.S.Central Great Plains.Remote Sensing of Environment,112(3):1096-1116.
White M A,BEURS D,Kirsten M et al.,2009.Intercomparison,interpretation,and assessment of spring phenology in North America estimated from remote sensing for 1982-2006.Global Change Biology,15(10):2335-2359.
Wilson W W,Sebaugh J L,1981.Established criteria and selected methods for evaluating crop yield models in the AgRISTARS Program.Proceedings of the American Statistical Association,American Statistical Association,Washington,DC:24-34.
Wu B,Li Q,2012.Crop planting and type proportion method for crop acreage estimation of complex agricultural landscapes.International Journal of Applied Earth Observation and Geoinformation,16:101-112.
Xiao X,Boles S,Liu J et al.,2005.Mapping paddy rice agriculture in southern China using multi-temporal MODIS images.Remote Sensing of Environment,95(4):480-492.
Yuan Z,Shen Y,2013.Estimation of agricultural water consumption from meteorological and yield data:A case study of Hebei,North China.PloS One,8(3):e58685.
Zhang J,Manske G,Zhou P et al.,2017.Factors influencing farmers’decisions on nitrogen fertilizer application in the Liangzihu Lake basin,Central China.Environment,Development and Sustainability,19(3):791-805.
Zhang M,Zhou Q,Chen Z et al.,2008.Crop discrimination in northern China with double cropping systems using Fourier analysis of time-series MODIS data.International Journal of Applied Earth Observation and Geoinformation,10(4):476-485.
Zhang Y,Shen Y,Xu X et al.,2013.Characteristics of the water-energy-carbon fluxes of irrigated pear(Pyrus bretschneideri Rehd)orchards in the North China Plain.Agricultural Water Management,128:140-148.
Zhao Y,Feng D,Yu L et al.,2016.Detailed dynamic land cover mapping of Chile:Accuracy improvement by integrating multi-temporal data.Remote Sensing of Environment,183:170-185.
Zhao Y,Lv H,2015.The challenges and path selection in the development of modern agriculture in the background of 10 years of continuous growth of grain production in China.Research of Agricultural Modernization,36(4):561-567.(in Chinese)
Zhong L,Hu L,Yu L et al.,2016.Automated mapping of soybean and corn using phenology.ISPRS Journal of Photogrammetry and Remote Sensing,119:151-164.
Boryan C,Yang Z,Mueller R et al.,2011.Monitoring US agriculture:The US Department of Agriculture,National Agricultural Statistics Service,Cropland Data Layer Program.Geocarto International,26(5):341-358.
Breiman L,Friedam J H,Olshen R A et al.,1984.Classification and Regression Trees.Belmont:Wadsworth International Group,1-358.
Chaudhuri A S,Singh P,Rai S C,2018.Modelling LULC change dynamics and its impact on environment and water security:geospatial technology based assessment.Ecology,Environment and Conservation,24(Suppl.):S292-S298.
Clevers J G P W,1997.A simplified approach for yield prediction of sugar beet based on optical remote sensing data.Remote Sensing of Environment,61(2):221-228.
Cohen Y,Shoshany M,2002.A national knowledge-based crop recognition in Mediterranean environment.International Journal of Applied Earth Observation and Geoinformation,4(1):75-87.
Conrad C,Lamers J P A,Ibragimov N et al.,2016.Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing:A case study on post-Soviet agricultural land use.Journal of Arid Environments,124:150-159.
de Oliveira S N,de Carvalho Júnior O A,Gomes R A T et al.,2017.Landscape-fragmentation change due to recent agricultural expansion in the Brazilian Savanna,Western Bahia,Brazil.Regional Environmental Change,17(2):411-423.
Fan J,Wu B,2004.A methodology for retrieving cropping index from NDVI profile.Journal of Remote Sensing,8(6):628-636.(in Chinese).
Fang Q,Ma L,Green T et al.,2010.Water resources and water use efficiency in the North China Plain:Current status and agronomic management options.Agricultural Water Management,97(8):1102-1116.
Frolking S,Qiu J,Boles S et al.,2002.Combining remote sensing and ground census data to develop new maps of the distribution of rice agriculture in China.Global Biogeochemical Cycles,16(4):38-1-38-10.
Gallego F,1999.Crop area estimation in the MARS Project.Conference on ten years of the MARS Project.
Kingra P,Majumder D,Singh S P,2016.Application of remote sensing and GIS in agriculture and natural resource management under changing climatic conditions.Agricultural Research Journal,53(3):295-302.
Kleweno D D,Miller C E,1981.1980 AgRISTARS DC/LC Project Summary Crop Area Estimates for Kansas and Iowa.U.S.Department of Agriculture Economics and Statistics Service Statistical Research Division.ESSStaff Report,No.AGESS-810414.
Li X,Tong L,Niu J et al.,2017.Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor,Northwest China.Agricultural Water Management,179:55-63.
Liang S,Ma W,Sui X et al.,2017.Extracting the spatiotemporal pattern of cropping systems from NDVI time series using a combination of the spline and HANTS algorithms:A case study for Shandong Province.Canadian Journal of Remote Sensing,43(1):1-15.
Liu J,Kuang W,Zhang Z et al.,2014.Spatiotemporal characteristics,patterns,and causes of land-use changes in China since the late 1980s.Journal of Geographical Sciences,24(2):195-210.
Liu J,Liu M,Tian H et al.,2005.Spatial and temporal patterns of China's cropland during 1990-2000:An analysis based on Landsat TM data.Remote Sensing of Environment,98(4):442-456.
Liu J,Liu M,Zhuang D et al.,2003.Study on spatial pattern of land-use change in China during 1995-2000.Science in China Series D:Earth Sciences,46(4):373-384.
Liu J,Zhang Z,Xu X et al.,2010.Spatial patterns and driving forces of land use change in China during the early21st century.Journal of Geographical Sciences,20(4):483-494.
Lu Y,Zhang X,Chen S et al.,2016.Changes in water use efficiency and water footprint in grain production over the past 35 years:A case study in the North China Plain.Journal of Cleaner Production,116:71-79.
MacDonald R,Hall F G,Erb R,1975.The use of Landsat data in a large area crop inventory experiment(LACIE).
Marshall M,Thenkabail P,2015.Developing in situ non-destructive estimates of crop biomass to address issues of scale in remote sensing.Remote Sensing,7(1):808.
Murakami T,Ogawa S,Ishitsuka N et al.,2001.Crop discrimination with multitemporal SPOT/HRV data in the Saga Plains,Japan.International Journal of Remote Sensing,22(7):1335-1348.
Oguro Y,Suga Y,Takeuchi S et al.,2001.Comparison of SAR and optical sensor data for monitoring of rice plant around Hiroshima.Advances in Space Research,28(1):195-200.
Panigrahy S,Sharma S A,1997.Mapping of crop rotation using multidate Indian remote sensing satellite digital data.ISPRS Journal of Photogrammetry and Remote Sensing,52(2):85-91.
Pei H,Scanlon B R,Shen Y et al.,2015.Impacts of varying agricultural intensification on crop yield and groundwater resources:Comparison of the North China Plain and US High Plains.Environmental Research Letters,10(4):044013.
Roerink G,Menenti M,Verhoef W,2000.Reconstructing cloudfree NDVI composites using Fourier analysis of time series.International Journal of Remote Sensing,21(9):1911-1917.
Serra P,Salvati L,Queralt E et al.,2016.Estimating water consumption and irrigation requirements in a long-established mediterranean rural community by remote sensing and field data.Irrigation and Drainage,65(5):578-588.
Tang H,Wu W,Yang P et al.,2010.Recent progresses in monitoring crop spatial patterns by using remote sensing technologies.Scientia Agricultura Sinica,43(14):2879-2888.
Turner M D,Congalton R G,1998.Classification of multi-temporal SPOT-XS satellite data for mapping rice fields on a West African floodplain.International Journal of Remote Sensing,19(1):21-41.
Wardlow B D,Egbert S L,2008.Large-area crop mapping using time-series MODIS 250 m NDVI data:An assessment for the U.S.Central Great Plains.Remote Sensing of Environment,112(3):1096-1116.
White M A,BEURS D,Kirsten M et al.,2009.Intercomparison,interpretation,and assessment of spring phenology in North America estimated from remote sensing for 1982-2006.Global Change Biology,15(10):2335-2359.
Wilson W W,Sebaugh J L,1981.Established criteria and selected methods for evaluating crop yield models in the AgRISTARS Program.Proceedings of the American Statistical Association,American Statistical Association,Washington,DC:24-34.
Wu B,Li Q,2012.Crop planting and type proportion method for crop acreage estimation of complex agricultural landscapes.International Journal of Applied Earth Observation and Geoinformation,16:101-112.
Xiao X,Boles S,Liu J et al.,2005.Mapping paddy rice agriculture in southern China using multi-temporal MODIS images.Remote Sensing of Environment,95(4):480-492.
Yuan Z,Shen Y,2013.Estimation of agricultural water consumption from meteorological and yield data:A case study of Hebei,North China.PloS One,8(3):e58685.
Zhang J,Manske G,Zhou P et al.,2017.Factors influencing farmers’decisions on nitrogen fertilizer application in the Liangzihu Lake basin,Central China.Environment,Development and Sustainability,19(3):791-805.
Zhang M,Zhou Q,Chen Z et al.,2008.Crop discrimination in northern China with double cropping systems using Fourier analysis of time-series MODIS data.International Journal of Applied Earth Observation and Geoinformation,10(4):476-485.
Zhang Y,Shen Y,Xu X et al.,2013.Characteristics of the water-energy-carbon fluxes of irrigated pear(Pyrus bretschneideri Rehd)orchards in the North China Plain.Agricultural Water Management,128:140-148.
Zhao Y,Feng D,Yu L et al.,2016.Detailed dynamic land cover mapping of Chile:Accuracy improvement by integrating multi-temporal data.Remote Sensing of Environment,183:170-185.
Zhao Y,Lv H,2015.The challenges and path selection in the development of modern agriculture in the background of 10 years of continuous growth of grain production in China.Research of Agricultural Modernization,36(4):561-567.(in Chinese)
Zhong L,Hu L,Yu L et al.,2016.Automated mapping of soybean and corn using phenology.ISPRS Journal of Photogrammetry and Remote Sensing,119:151-164.