[1]土壤背景对冠层NDVI的影响分析. 唐怡,刘良云,黄文江,王纪华. 2006

[2]冬小麦生育前期LAI高光谱反演研究. 何小安,李存军,周静平,赵叶,葛艳. 2019

[3]利用有效积温提高冬小麦估产精度的研究. 陈艳玲,顾晓鹤,董燕生,胡圣武,张秋阳,赵静. 2014

[4]基于多时相TM影像的冬小麦面积变化监测. 崔方宁,宋晓宇,孙宝生,王纪华. 2012

[5]基于多时相冠层结构参数对冠层光谱的敏感性分析. 齐腊,赵春江,黄文江,刘含海. 2009

[6]精准施药中叶面积指数探测研究. 吴双丽,邓巍,吴桂芳. 2017

[7]叶面积指数间接测量方法分析. 熊万彩,邱权,陈天华,郑文刚. 2013

[8]融合可见光-近红外与短波红外特征的新型植被指数估算冬小麦LAI. 李鑫川,鲍艳松,徐新刚,金秀良,张竞成,宋晓宇. 2013

[9]不同生育期倒伏胁迫下玉米叶面积指数高光谱响应解析. 周龙飞,张云鹤,成枢,顾晓鹤,杨贵军,孙乾,束美艳. 2019

[10]基于HJ-CCD与TM影像的水稻LAI估测一致性分析. 张竞成,顾晓鹤,王纪华,黄文江,何馨,王慧芳. 2010

[11]基于PROBA/CHRIS遥感数据和PROSAIL模型的春小麦LAI反演. 杨贵军,赵春江,邢著荣,黄文江,王纪华. 2011

[12]INVERSION OF PADDY LEAF AREA INDEX USING BEER-LAMBERT LAW AND HJ-1/2 CCD IMAGE. Gu, Xiaohe,Zhang, Jingcheng,Yang, Guijun,Song, Xiaoyu,Zhao, Jinling,Cui, Bei. 2013

[13]Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 Data. Jin, Xiuliang,Yang, Guijun,Xu, Xingang,Yang, Hao,Feng, Haikuan,Li, Zhenhai,Shen, Jiaxiao,Zhao, Chunjiang,Jin, Xiuliang,Yang, Guijun,Xu, Xingang,Yang, Hao,Feng, Haikuan,Li, Zhenhai,Shen, Jiaxiao,Zhao, Chunjiang,Jin, Xiuliang,Yang, Guijun,Zhao, Chunjiang,Xu, Xingang,Zhao, Chunjiang,Lan, Yubin. 2015

[14]The Estimation of Winter Wheat Yield Based on MODIS Remote Sensing Data. Huang, Linsheng,Yang, Qinying,Dong, Yansheng,Xu, Xingang,Huang, Wenjiang,Huang, Linsheng,Yang, Qinying,Liang, Dong. 2012

[15]Relationships between soil respiration and photosynthesis-related spectral vegetation indices in two cropland ecosystems. Huang, Ni,Niu, Zheng,Zhan, Yulin,Xu, Shiguang,Wu, Chaoyang,Gao, Shuai,Hou, Xuehui,Cai, Dewen,Huang, Ni,Xu, Shiguang,Hou, Xuehui,Cai, Dewen,Tappert, Michelle C.,Huang, Wenjiang.

[16]SINERGISTIC USE OF RADAR AND OPTICAL DATA FOR AGRICULTURAL DATA PRODUCTS ASSIMILATION: A CASE STUDY IN CENTRAL ITALY. Fascetti, F.,Laneve, G.,Marzialetti, P.,Anniballe, R.,Fascetti, F.,Pierdicca, N.,Casa, R.,Castaldi, F.,Silvestro, P. C.,Huang, W.,Qiaoyun, X.,Palombo, A.,Pascucci, S.,Pignatti, S.,Qiaoyun, X.,Santini, F.,Qiaoyun, X.,Yang, H.,Yang, G.,Qiaoyun, X.. 2015

[17]Retrieval of LAI and leaf chlorophyll content from remote sensing data by agronomy mechanism knowledge to solve the ill-posed inverse problem. Li, Zhenhai,Nie, Chenwei,Yang, Guijun,Xu, Xingang,Jin, Xiuliang,Gu, Xiaohe. 2014

[18]基于支持向量回归(SVR)和多时相遥感数据的冬小麦估产. 黎锐,李存军,徐新刚,王纪华,杨小冬,黄文江,潘瑜春. 2009

[19]耕地轮作模式遥感监测. 顾晓鹤,潘瑜春,王堃,杨枫,黄文江. 2011

[20]基于新型植被指数的冬小麦覆盖度遥感估算. 陈召霞,徐新刚,徐良骥,杨贵军,邢会敏,贺鹏. 2016