[1]Zhang Y,Li M Z,Zheng L H,et al. Spectral features extraction for estimation of soil total nitrogen content based on modified ant colony optimization algorithm[J]. Geoderma,2019,333:23-34.
[2]彭远新,蒙永辉,徐夕博,等. 基于随机森林算法的潍北平原土壤全氮高光谱估算[J]. 安全与环境学报,2020,20(5):1975-1983.
[3]Wang X P,Zhang F,Johnson V C. New methods for improving the remote sensing estimation of soil organic matter content (SOMC) in the Ebinur Lake Wetland National Nature Reserve (ELWNNR) in northwest China[J]. Remote Sensing of Environment,2018,218:104-118.
[4]Zhang Y,Sui B,Shen H O,et al. Mapping stocks of soil total nitrogen using remote sensing data:a comparison of random forest models with different predictors[J]. Computers and Electronics in Agriculture,2019,160:23-30.
[5]Krishnan P,Alexander J D,Butler B J,et al. Reflectance technique for predicting soil organic matter[J]. Soil Science Society of America Journal,1980,44(6):1282-1285.
[6]张平,闫宏涛. 反射光谱法测定土壤和作物中氮[J]. 仪器仪表与分析监测,1999(1):37-39.
[7]卢艳丽,白由路,王磊,等. 黑土土壤中全氮含量的高光谱预测分析[J]. 农业工程学报,2010,26(1):256-261.
[8]张强,张国龙,张泽,等. 基于高光谱的土壤全氮含量估测[J]. 山西农业科学,2016,44(7):972-976.
[9]李焱,王让会,管延龙,等. 基于高光谱反射特性的土壤全氮含量预测分析[J]. 遥感技术与应用,2017,32(1):173-179.
[10]马驰. HJ-1A HSI与Sentinel-2A遥感数据土壤全氮含量反演精度的对比研究[J]. 无线电工程,2021,51(12):1540-1548.
[11]贾伟,高小红,杨扬,等. 基于Landsat 8 OLI影像的三江源区表层土壤全氮空间格局反演[J]. 干旱区研究,2015,32(5):890-896.
[12]雷浩川,刘尊方,于晓晶,等. 基于Landsat 5影像的青海省大通县土壤表层全氮空间格局反演[J]. 青海大学学报,2021,39(6):79-86.
[13]Zhang Y,Sui B,Shen H O,et al. Mapping stocks of soil total nitrogen using remote sensing data:a comparison of random forest models with different predictors[J]. Computers and Electronics in Agriculture,2019,160:23-30.
[14]Zhou T,Geng Y J,Chen J,et al. Mapping of soil total nitrogen content in the middle reaches of the Heihe River Basin in China using multi-source remote sensing-derived variables[J]. Remote Sensing,2019,11(24):2934.
[15]Liu X Q,Zhu A X,Yang L,et al. A graded proportion method of training sample selection for updating conventional soil maps[J]. Geoderma,2020,357:113939.
[16]Bao Y L,Meng X T,Ustin S,et al. Vis-SWIR spectral prediction model for soil organic matter with different grouping strategies[J]. Catena,2020,195:104703.
[17]Wadoux A M J C,Brus D J,Heuvelink G B M. Sampling design optimization for soil mapping with random forest[J]. Geoderma,2019,355:113913.
[18]Lagacherie P,Arrouays D,Bourennane H,et al. Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation:a numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery[J]. Geoderma,2020,375:114503.
[19]Tobler W R.A computer movie simulating urban growth in the Detroit region[J]. Economic Geography,1970,46:234.
[20]韩琳,徐夕博. 基于PMF模型及地统计的土壤重金属健康风险定量评价[J]. 环境科学,2020,41(11):5114-5124.
[21]田颖,陈卓奇,惠凤鸣,等. 欧空局哨兵卫星Sentinel-2A/B数据特征及应用前景分析[J]. 北京师范大学学报(自然科学版),2019,55(1):57-65.
[22]Davis E,Wang C,Dow K. Comparing Sentinel-2 MSI and Landsat 8 OLI in soil salinity detection:a case study of agricultural lands in coastal North Carolina[J]. International Journal of Remote Sensing,2019,40(16):6134-6153.
[23]Wang J,Ding J,YU D,et al. Capability of Sentinel-2 MSI data for monitoring and mapping of soil salinity in dry and wet seasons in the Ebinur Lake region,Xinjiang,China[J]. Geoderma,2019,353:172-187.
[24]Rossel R A V,Behrens T. Using data mining to model and interpret soil diffuse reflectance spectra[J]. Geoderma,2010,158(1/2):46-54.
[25]Zhang S,Lu X,Zhang Y Z,et al. Estimation of soil organic matter,total nitrogen and total carbon in sustainable coastal wetlands[J]. Sustainability,2019,11(3):667.
[26]Breiman L. Random forests[J]. Machine Learning,2001,45(1):5-32.
[27]Stewart F A,Brunsdon C,Charlton M. Geographically weighted regression:the analysis of spatially varying relationships[M]. Chichester:John Wiley & Sons,2002
[28]Yang S H,Liu F,Song X D,et al. Mapping topsoil electrical conductivity by a mixed geographically weighted regression kriging:a case study in the Heihe River Basin,northwest China[J]. Ecological Indicators,2019,102:252-264.
[29]刘焕军,张美薇,杨昊轩,等. 多光谱遥感结合随机森林算法反演耕作土壤有机质含量[J]. 农业工程学报,2020,36(10):134-140.
[30]Chi Y,Shi H H,Zheng W et al. Simulating spatial distribution of coastal soil carbon content using a comprehensive land surface factor system based on remote sensing[J]. Science of the Total Environment,2018,628/629:384-399.
[31]侯宇初,张冬有. 基于Landsat8遥感影像的地表温度反演方法对比研究[J]. 中国农学通报,2019,35(10):142-147.
[32]Gholizadeh A,Saberioon M,Ben-Dor E,et al. Modelling potentially toxic elements in forest soils with vis-NIR spectra and learning algorithms[J]. Environmental Pollution,2020,267:115574.
[33]徐夕博,吕建树,徐汝汝. 山东省沂源县土壤重金属来源分布及风险评价[J]. 农业工程学报,2018,34(9):216-223.
[34]吕建树,张祖陆,刘洋,等. 日照市土壤重金属来源解析及环境风险评价[J]. 地理学报,2012,67(7):971-984.
[35]Kuang B,Mouazen A M. Calibration of visible and near infrared spectroscopy for soil analysis at the field scale on three European farms[J]. European Journal of Soil Science,2011,62(4):629-636.
[36]Sabetizade M,Gorji M,Roundier P,et al. Combination of MIR spectroscopy and environmental covariates to predict soil organic carbon in a semi-arid region[J]. Catena,2021,196:104844.
[37]Lobell D B,Asner G P. Moisture effects on soil reflectance[J]. Soil Science Society of America Journal,2002,66(3):722-727.
[38]吴春生,黄翀,刘高焕,等. 黄河三角洲土壤含盐量空间预测方法研究[J]. 资源科学,2016,38(4):704-713.
[39]曹正凤. 随机森林算法优化研究[D]. 北京:首都经济贸易大学,2014:16-17.
[40]Xu X B,Chen Y H,Wang M G,et al. Improving estimates of soil salt content by using two-date image spectral changes in Yinbei,China[J]. Remote Sensing,2021,13(20):4165.
[41]刘焕军,宁东浩,康苒,等. 考虑含水量变化信息的土壤有机质光谱预测模型[J]. 光谱学与光谱分析,2017,37(2):566-570.
[42]贾小凤,朱红春,凌峰,等. 基于Landsat多光谱与PALSAR/PALSAR-2数据的汉江流域森林覆盖变化研究[J]. 长江流域资源与环境,2021,30(2):321-329.
[1]蒋宝南,刘腾飞,单建明,等.QuEChERS-GC/μECD法测定土壤中的毒死蜱残留量[J].江苏农业科学,2014,42(12):332.
Jiang Baonan,et al.Determination of chlorpyrifos residues in soil by QuEChERS-GC/μECD[J].Jiangsu Agricultural Sciences,2014,42(11):332.
[2]李国锋,魏瑞成,王冉.高效液相色谱法测定土壤中联苯与间羟基苯甲酸残留[J].江苏农业科学,2014,42(12):316.
Li Guofeng,et al.Determination of biphenyl and M-hydroxy benzoic acid residues in soil by high performance liquid chromatography[J].Jiangsu Agricultural Sciences,2014,42(11):316.
[3]史景允,于伟红,梁秋生.蓖麻对镉污染土壤的修复潜力[J].江苏农业科学,2014,42(11):386.
Shi Jingyun,et al(8).Potential repairing of cadmium contaminated soil by castor oil plant[J].Jiangsu Agricultural Sciences,2014,42(11):386.
[4]何继山,梁杏,李静.土样浸提液电导率与盐分关系的逐步回归分析[J].江苏农业科学,2014,42(10):314.
He Jishan,et al.Regression analysis of relationship between soil samples leaching solution conductivity and solinity[J].Jiangsu Agricultural Sciences,2014,42(11):314.
[5]徐洪文,卢妍.土壤碳矿化及活性有机碳影响因子研究进展[J].江苏农业科学,2014,42(10):4.
Xu Hongwen,et al.Research progress on soil carbon mineralization and factors affecting active organic carbon[J].Jiangsu Agricultural Sciences,2014,42(11):4.
[6]李范,李娜,陈建中,等.基于磷脂脂肪酸提取方法的微生物群落结构研究[J].江苏农业科学,2014,42(09):323.
Li Fan,et al.Study on microbial community structure based on phospholipid fatty acid extraction method[J].Jiangsu Agricultural Sciences,2014,42(11):323.
[7]张乐森,刘悦上,马金芝,等.山东省滨州市设施蔬菜土壤退化防治与修复对策[J].江苏农业科学,2013,41(07):141.
Zhang Lesen,et al.Control and restoration strategies of facility vegetable soil degradation in Binzhou of Shandong Province[J].Jiangsu Agricultural Sciences,2013,41(11):141.
[8]尹辉,李晖,蒋忠诚,等.典型岩溶区土壤水分的空间异质性研究[J].江苏农业科学,2013,41(07):332.
Yin Hui,et al.Study on spatial variability of soil water content in typical karst area[J].Jiangsu Agricultural Sciences,2013,41(11):332.
[9]覃怀德,吴炳孙,吴敏,等.橡胶园土壤钾素空间变异与分区管理技术——以海南省琼中县为例[J].江苏农业科学,2013,41(08):326.
Qin Huaide,et al.Spatial variability and regionalized management of soil potassium nutrient in rubber plantation—Taking Qiongzhong County of Hainan Province as an example[J].Jiangsu Agricultural Sciences,2013,41(11):326.
[10]符勇,周忠发,王昆,等.基于贵州喀斯特高原山区的烟草种植适宜性研究[J].江苏农业科学,2014,42(09):92.
Fu Yong,et al.Study on planting suitability of tobacco based on Guizhou karst mountain plateau[J].Jiangsu Agricultural Sciences,2014,42(11):92.
[11]解钰,朱同彬.氮肥和秸秆用量对水稻—小麦轮作体系土壤团聚体组分及碳氮分布的影响[J].江苏农业科学,2015,43(05):310.
Xie Yu,et al.Effects of nitrogen fertilizer and straw quantity on soil aggregate composition and distribution of carbon and nitrogen in rice-wheat crop rotation system[J].Jiangsu Agricultural Sciences,2015,43(11):310.
[12]王小利,周志刚,郭振,等.长期施肥下黄壤稻田土壤有机碳和全氮的演变特征[J].江苏农业科学,2017,45(14):195.
Wang Xiaoli,et al.Evolution characteristics of soil organic carbon and total nitrogen in yellow paddy soil under long-term fertilization[J].Jiangsu Agricultural Sciences,2017,45(11):195.
[13]韩丛丛,杨阳,刘秉儒,等.围封年限对荒漠草原土壤有机碳、全氮、全磷与微生物量碳、氮等的影响[J].江苏农业科学,2017,45(16):260.
Han Congcong,et al.Effects of enclosure years on soil organic carbon, total nitrogen, total phosphorus, microbial biomass carbon and microbial biomass nitrogen in desert steppe soil[J].Jiangsu Agricultural Sciences,2017,45(11):260.