基于长时间序列遥感数据反演NPP的耕地质量评价
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摘要
为客观获得省域耕地质量分布状况,减少时间断点引起的评价误差,构建了一种基于长时间序列遥感数据反演NPP的耕地质量评价方法。首先,在耕地图斑约束下,采用时序LSWI和EVI数据识别水稻和玉米;然后,采用2000—2010年MODIS的MOD09A1数据,结合气象站点数据,利用VPM模型分别计算水稻和玉米的净初级生产力(NPP),并得到多年NPP均值,可反映耕地种植作物的常年长势,使用距平分析法消除作物类型差异,得到表征耕地质量的评价结果;最后,以吉林省为研究区,对本文提出的方法进行了实证与分析。实验结果表明,长时间序列NPP耕地质量反演结果与耕地质量利用等别整体空间分布一致。其中,吉林省中部与北部由于耕地集中连片,反演结果准确。南部山区耕地斑块破碎,耕地与林地混合,导致反演结果偏高。本文构建的长时间序列NPP耕地质量评价方法对省域范围、集中连片耕地质量评价具有可行性,可为我国耕地质量评价提供科学依据。
The evaluation of cultivated land quality can provide support for the management of cultivated land quality. In order to objectively obtain the distribution of cultivated land quality in the province and reduce the evaluation error caused by time breakpoints,an evaluation method of cultivated land quality was constructed based on NPP inversion of long-term sequence remote sensing data. Firstly,rice and maize were identified by using time-series LSWI and EVI data under the constraints of ploughing maps.Then,the MODIS MOD09 A1 data from 2000 to 2010 were used,combined with the meteorological site data,the VPM model was used to calculate the NPP of rice and corn respectively,and the average NPP value was obtained for many years,reflecting the long-term growth of cultivated crops. The anomaly analysis method was used to eliminate the differences in crop types,and the evaluation results of the quality of cultivated land were obtained. Finally,with Jilin Province as the research area,the method proposed was empirically analyzed. The experimental results showed that the long-term sequence NPP cultivated land quality inversion results were consistent with the overall spatial distribution of cultivated land quality utilization. Among them,the inversion results were accurate in the central and northern parts of Jilin Province due to the concentrated arable land. The plaques in the southern mountainous areas were broken,and the cultivated land was mixed with the forest land,resulting in high inversion results.Therefore,the long-term NPP cultivated land quality evaluation method constructed was feasible for the evaluation of provincial and central contiguous arable land quality,and can provide scientific support for the evaluation of cultivated land quality in China.
The evaluation of cultivated land quality can provide support for the management of cultivated land quality. In order to objectively obtain the distribution of cultivated land quality in the province and reduce the evaluation error caused by time breakpoints,an evaluation method of cultivated land quality was constructed based on NPP inversion of long-term sequence remote sensing data. Firstly,rice and maize were identified by using time-series LSWI and EVI data under the constraints of ploughing maps.Then,the MODIS MOD09 A1 data from 2000 to 2010 were used,combined with the meteorological site data,the VPM model was used to calculate the NPP of rice and corn respectively,and the average NPP value was obtained for many years,reflecting the long-term growth of cultivated crops. The anomaly analysis method was used to eliminate the differences in crop types,and the evaluation results of the quality of cultivated land were obtained. Finally,with Jilin Province as the research area,the method proposed was empirically analyzed. The experimental results showed that the long-term sequence NPP cultivated land quality inversion results were consistent with the overall spatial distribution of cultivated land quality utilization. Among them,the inversion results were accurate in the central and northern parts of Jilin Province due to the concentrated arable land. The plaques in the southern mountainous areas were broken,and the cultivated land was mixed with the forest land,resulting in high inversion results.Therefore,the long-term NPP cultivated land quality evaluation method constructed was feasible for the evaluation of provincial and central contiguous arable land quality,and can provide scientific support for the evaluation of cultivated land quality in China.
引文
[1]张玉臻,刘树明,孔祥斌,等.基于监测单元划分方法的耕地质量监测效率研究——以内蒙古自治区开鲁县为例[J].中国农业大学学报,2017,22(9):154-163.ZHANG Yuzhen,LIU Shuming,KONG Xiangbin,et al. Monitoring efficient study of arable land quality based on the monitoring unit division method:a case study of Kailu County in Inner Mongolia[J]. Journal of China Agricultural University,2017,22(9):154-163.(in Chinese)
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[6]林晨,周生路,吴绍华.基于MODIS影像的农用地自然质量动态快速监测研究[J].地域研究与开发,2011,30(1):116-121.LIN Chen,ZHOU Shenglu,WU Shaohua. Application research of MODIS data in monitoring agricultural land resources dynamically[J]. Areal Research and Development,2011,30(1):116-121.(in Chinese)
[7]杜心栋.中国农用地整理对耕地产能提升影响研究[D].南京:南京大学,2016.DU Xindong. Research on the effectiveness of cropland consolidation for improving productivity in China[D]. Nanjing:Nanjing University,2016.(in Chinese)
[8]花锦溪,臧淑英,那晓东.基于MODIS时间序列的松嫩平原盐渍地提取[J].地理与地理信息科学,2016,32(2):67-71.HUA Jinxi,ZANG Shuying,NA Xiaodong. Saline soil extraction using MODIS NDVI time series data in Songnen plain[J].Geography and Geo-Information Science,2016,32(2):67-71.(in Chinese)
[9]王蕊,李红军,雷玉平.基于多年MODIS-NDVI分级的河北平原农田生产力评价[J].中国生态农业学报,2011,19(5):1175-1181.WANG Rui,LI Hongjun,LEI Yuping. Evaluation of cropland productivity in the Hebei Plain via graded multi-year MODISNDVI data[J]. Chinese Journal of Eco-Agriculture,2011,19(5):1175-1181.(in Chinese)
[10]康婷婷,居为民,张春华. 2001—2011年中国农田最大光能利用率参数时空变化特征[J].遥感技术与应用,2016,31(4):663-671.KANG Tingting,JU Weimin,ZHANG Chunhua. Study on the spatial and temporal variations of china’s cropland maximum light use efficiency in 2001—2011[J]. Remote Sensing Technology and Application,2016,31(4):663-671.(in Chinese)
[11] TURNER D P,RITTS W D,COHEN W B,et al. Evaluation of MODIS NPP and GPP products across multiple biomes[J].Remote Sensing of Environment,2006,102(3):282-292.
[12]牛忠恩,闫慧敏,黄玫,等.基于MODIS-OLI遥感数据融合技术的农田生产力估算[J].自然资源学报,2016,31(5):875-885.NIU Zhongen,YAN Huimin,HUANG Mei,et al. Agricultural productivity estimation with MODIS-OLI fusion data[J].Journal of Natural Resources,2016,31(5):875-885.(in Chinese)
[13]王轶虹,史学正,王美艳,等. 2001—2010年中国农田生态系统NPP的时空演变特征[J].土壤学报,2017,54(2):319-330.WANG Yihong,SHI Xuezheng,WANG Meiyan,et al. Spatio-temporal variation of NPP in cropland ecosystem China during the years from 2001 to 2010[J]. Chinese Journal of Soil Science,2017,54(2):319-330.(in Chinese)
[14]张晓沛,彭茹燕,朱德海,等.耕地质量构成要素间的影响分析——以吉林省前郭县为例[J].土壤通报,2012,43(2):269-273.ZHANG Xiaopei,PENG Ruyan,ZHU Dehai,et al. Analysis of correlative influence of component factors of cultural land quality—taking Qianguo County of Jilin Province as an example[J]. Chinese Journal of Soil Science,2012,43(2):269-273.(in Chinese)
[15]相慧,孔祥斌,陈培雄,等.县域耕地质量等别监测样点布控研究——以内蒙古自治区达拉特旗为例[J].资源科学,2014,36(6):1203-1210.XIANG Hui,KONG Xiangbin,CHEN Peixiong,et al. Establishing monitoring samples of arable land at the county level:a case study of Dalate district in Inner Monglia[J]. Resources Science,2014,36(6):1203-1210.(in Chinese)
[16] WAGLE P,XIAO X,TORN M S,et al. Sensitivity of vegetation indices and gross primary production of tallgrass prairie to severe drought[J]. Remote Sensing of Environment,2014,152:1-14.
[17]唐利琴,刘慧,胡波,等. 1961—2014年中国光合有效辐射重构数据集[J/OL].中国科学数据,2017,2(3):1-12.DOI:10. 11922/csdata. 170. 2017. 0135.TANG Liqin,LIU Hui,HU Bo,et al. Reconstructed data of photosynthetically active radiation in China(1961—2014)[J/OL]. Chinese Science Data,2017,2(3):1-12.(in Chinese)
[18]白洁.干旱区绿洲扩张对农田生态系统碳收支的影响[D].北京:中国科学院研究生院,2010.BAI Jie. The effects of oasis extension on carbon budgets of oasis field ecosystem in arid regions dissertation submitted[D].Beijing:Graduate School of Chinese Academy of Sciences,2010.(in Chinese)
[19]位贺杰,张艳芳,朱妮,等.河南农田生产力时空变化的遥感分析[J].测绘科学,2014,39(11):67-71.WEI Hejie,ZHANG Yanfang,ZHU Ni,et al. Temporal-spatial changes of farmland productivity in Henan Province using MODIS data[J]. Science of Surveying and Mapping,2014,39(11):67-71.(in Chinese)
[20] PAN Y,LI L,ZHANG J,et al. Winter wheat area estimation from MODIS-EVI time series data using the crop proportion phenology index[J]. Remote Sensing of Environment,2012,119(3):232-242.
[21] QUAN W T,ZHOU H,HONGNEI L I,et al. Remote recognition and growth monitoring of winter wheat in key stages based on S G filter in Guanzhong region[J]. Chinese Journal of Agrometeorology,2015,36(1):93-99.
[22]邬明权,王长耀,牛铮.利用多源时序遥感数据提取大范围水稻种植面积[J].农业工程学报,2010,26(7):240-244.WU Mingquan,WANG Changyao,NIU Zheng. Mapping paddy fields in large areas,based on time series multi-sensors data[J]. Transactions of the CSAE,2010,26(7):240-244.(in Chinese)
[23] XIAO X,BOLES S,FROLKING S,et al. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images[J]. Remote Sensing of Environment,2006,100(1):95-113.
[24] YAN H,FU Y,XIAO X,et al. Modeling gross primary productivity for winter wheat-maize double cropping system using MODIS time series and CO2,eddy flux tower data[J]. Agriculture Ecosystems&Environment,2009,129(4):391-400.
[25]欧阳旭,张亚茹,李跃林.基于生物质能的芒属植物碳动态和收支研究进展[J].生态环境学报,2013,22(9):1633-1638.OUYANG Xu,ZHANG Yaru,LI Yuelin. A review on carbon dynamics and budget of biomass energy species of Miscanthus spp.[J]. Ecology and Environment Sciences,2013,22(9):1633-1638.(in Chinese)
[26] ZHU W,PAN Y,HE H,et al. Simulation of maximum light use efficiency for some typical vegetation types in China[J].Chinese Science Bulletin,2006,51(4):457-463.
[27]陈静清,闫慧敏,王绍强,等.中国陆地生态系统总初级生产力VPM遥感模型估算[J].第四纪研究,2014,34(4):732-742.CHEN Jingqing,YAN Huimin,WANG Shaoqiang,et al. Estimation of gross primary productivity in Chinese terrestrial ecosystems by using VPM model[J]. Quaternary Sciences,2014,34(4):732-742.(in Chinese)
[2]赵小娟,叶云,周晋皓,等.珠三角丘陵区耕地质量综合评价及指标权重敏感性分析[J].农业工程学报,2017,33(8):226-235.ZHAO Xiaojuan,YE Yun,ZHOU Jinhao,et al. Comprehensive evaluation of cultivated land quality and sensitivity analysis of index weight in hilly region of Pearl River Delta[J]. Transactions of the CSAE,2017,33(8):226-235.(in Chinese)
[3]黄健熙,李荔,张超,等.基于遥感蒸散发数据的耕地灌溉保证能力评价方法[J].农业工程学报,2015,31(5):100-106.HUANG Jianxi,LI Li,ZHANG Chao,et al. Evaluation of cultivated land irrigation guarantee capability based on remote sensing evapotranspiration data[J]. Transactions of the CSAE,2015,31(5):100-106.(in Chinese)
[4]吕雅慧,张超,郧文聚,等.高分辨率遥感影像农田林网自动识别[J/OL].农业机械学报,2018,49(1):157-163.http:∥www. j-csam. org/jcsam/ch/reader/view_abstract. aspx? flag=1&file_no=20180120&journal_id=jcsam. DOI:10.6041/j. issn. 1000-1298. 2018. 01. 020.LYahui,ZHANG Chao,YUN Wenju,et al. Automatic recognition of farmland shelterbelts in high spatial resolution remote sensing data[J/OL]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(1):157-163.(in Chinese)
[5]杨建锋,马军成,王令超.基于多光谱遥感的耕地等别识别评价因素研究[J].农业工程学报,2012,28(17):230-236.YANG Jianfeng,MA Juncheng,WANG Lingchao. Evaluation factors for cultivated land grade identification based on multispectral remote sensing[J]. Transactions of the CSAE,2012,28(17):230-236.(in Chinese)
[6]林晨,周生路,吴绍华.基于MODIS影像的农用地自然质量动态快速监测研究[J].地域研究与开发,2011,30(1):116-121.LIN Chen,ZHOU Shenglu,WU Shaohua. Application research of MODIS data in monitoring agricultural land resources dynamically[J]. Areal Research and Development,2011,30(1):116-121.(in Chinese)
[7]杜心栋.中国农用地整理对耕地产能提升影响研究[D].南京:南京大学,2016.DU Xindong. Research on the effectiveness of cropland consolidation for improving productivity in China[D]. Nanjing:Nanjing University,2016.(in Chinese)
[8]花锦溪,臧淑英,那晓东.基于MODIS时间序列的松嫩平原盐渍地提取[J].地理与地理信息科学,2016,32(2):67-71.HUA Jinxi,ZANG Shuying,NA Xiaodong. Saline soil extraction using MODIS NDVI time series data in Songnen plain[J].Geography and Geo-Information Science,2016,32(2):67-71.(in Chinese)
[9]王蕊,李红军,雷玉平.基于多年MODIS-NDVI分级的河北平原农田生产力评价[J].中国生态农业学报,2011,19(5):1175-1181.WANG Rui,LI Hongjun,LEI Yuping. Evaluation of cropland productivity in the Hebei Plain via graded multi-year MODISNDVI data[J]. Chinese Journal of Eco-Agriculture,2011,19(5):1175-1181.(in Chinese)
[10]康婷婷,居为民,张春华. 2001—2011年中国农田最大光能利用率参数时空变化特征[J].遥感技术与应用,2016,31(4):663-671.KANG Tingting,JU Weimin,ZHANG Chunhua. Study on the spatial and temporal variations of china’s cropland maximum light use efficiency in 2001—2011[J]. Remote Sensing Technology and Application,2016,31(4):663-671.(in Chinese)
[11] TURNER D P,RITTS W D,COHEN W B,et al. Evaluation of MODIS NPP and GPP products across multiple biomes[J].Remote Sensing of Environment,2006,102(3):282-292.
[12]牛忠恩,闫慧敏,黄玫,等.基于MODIS-OLI遥感数据融合技术的农田生产力估算[J].自然资源学报,2016,31(5):875-885.NIU Zhongen,YAN Huimin,HUANG Mei,et al. Agricultural productivity estimation with MODIS-OLI fusion data[J].Journal of Natural Resources,2016,31(5):875-885.(in Chinese)
[13]王轶虹,史学正,王美艳,等. 2001—2010年中国农田生态系统NPP的时空演变特征[J].土壤学报,2017,54(2):319-330.WANG Yihong,SHI Xuezheng,WANG Meiyan,et al. Spatio-temporal variation of NPP in cropland ecosystem China during the years from 2001 to 2010[J]. Chinese Journal of Soil Science,2017,54(2):319-330.(in Chinese)
[14]张晓沛,彭茹燕,朱德海,等.耕地质量构成要素间的影响分析——以吉林省前郭县为例[J].土壤通报,2012,43(2):269-273.ZHANG Xiaopei,PENG Ruyan,ZHU Dehai,et al. Analysis of correlative influence of component factors of cultural land quality—taking Qianguo County of Jilin Province as an example[J]. Chinese Journal of Soil Science,2012,43(2):269-273.(in Chinese)
[15]相慧,孔祥斌,陈培雄,等.县域耕地质量等别监测样点布控研究——以内蒙古自治区达拉特旗为例[J].资源科学,2014,36(6):1203-1210.XIANG Hui,KONG Xiangbin,CHEN Peixiong,et al. Establishing monitoring samples of arable land at the county level:a case study of Dalate district in Inner Monglia[J]. Resources Science,2014,36(6):1203-1210.(in Chinese)
[16] WAGLE P,XIAO X,TORN M S,et al. Sensitivity of vegetation indices and gross primary production of tallgrass prairie to severe drought[J]. Remote Sensing of Environment,2014,152:1-14.
[17]唐利琴,刘慧,胡波,等. 1961—2014年中国光合有效辐射重构数据集[J/OL].中国科学数据,2017,2(3):1-12.DOI:10. 11922/csdata. 170. 2017. 0135.TANG Liqin,LIU Hui,HU Bo,et al. Reconstructed data of photosynthetically active radiation in China(1961—2014)[J/OL]. Chinese Science Data,2017,2(3):1-12.(in Chinese)
[18]白洁.干旱区绿洲扩张对农田生态系统碳收支的影响[D].北京:中国科学院研究生院,2010.BAI Jie. The effects of oasis extension on carbon budgets of oasis field ecosystem in arid regions dissertation submitted[D].Beijing:Graduate School of Chinese Academy of Sciences,2010.(in Chinese)
[19]位贺杰,张艳芳,朱妮,等.河南农田生产力时空变化的遥感分析[J].测绘科学,2014,39(11):67-71.WEI Hejie,ZHANG Yanfang,ZHU Ni,et al. Temporal-spatial changes of farmland productivity in Henan Province using MODIS data[J]. Science of Surveying and Mapping,2014,39(11):67-71.(in Chinese)
[20] PAN Y,LI L,ZHANG J,et al. Winter wheat area estimation from MODIS-EVI time series data using the crop proportion phenology index[J]. Remote Sensing of Environment,2012,119(3):232-242.
[21] QUAN W T,ZHOU H,HONGNEI L I,et al. Remote recognition and growth monitoring of winter wheat in key stages based on S G filter in Guanzhong region[J]. Chinese Journal of Agrometeorology,2015,36(1):93-99.
[22]邬明权,王长耀,牛铮.利用多源时序遥感数据提取大范围水稻种植面积[J].农业工程学报,2010,26(7):240-244.WU Mingquan,WANG Changyao,NIU Zheng. Mapping paddy fields in large areas,based on time series multi-sensors data[J]. Transactions of the CSAE,2010,26(7):240-244.(in Chinese)
[23] XIAO X,BOLES S,FROLKING S,et al. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images[J]. Remote Sensing of Environment,2006,100(1):95-113.
[24] YAN H,FU Y,XIAO X,et al. Modeling gross primary productivity for winter wheat-maize double cropping system using MODIS time series and CO2,eddy flux tower data[J]. Agriculture Ecosystems&Environment,2009,129(4):391-400.
[25]欧阳旭,张亚茹,李跃林.基于生物质能的芒属植物碳动态和收支研究进展[J].生态环境学报,2013,22(9):1633-1638.OUYANG Xu,ZHANG Yaru,LI Yuelin. A review on carbon dynamics and budget of biomass energy species of Miscanthus spp.[J]. Ecology and Environment Sciences,2013,22(9):1633-1638.(in Chinese)
[26] ZHU W,PAN Y,HE H,et al. Simulation of maximum light use efficiency for some typical vegetation types in China[J].Chinese Science Bulletin,2006,51(4):457-463.
[27]陈静清,闫慧敏,王绍强,等.中国陆地生态系统总初级生产力VPM遥感模型估算[J].第四纪研究,2014,34(4):732-742.CHEN Jingqing,YAN Huimin,WANG Shaoqiang,et al. Estimation of gross primary productivity in Chinese terrestrial ecosystems by using VPM model[J]. Quaternary Sciences,2014,34(4):732-742.(in Chinese)
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