[1]倒伏胁迫下玉米抽雄期叶面积密度光谱诊断. 周龙飞,顾晓鹤,成枢,杨贵军,孙乾,束美艳. 2019

[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]倒伏胁迫下的玉米冠层结构特征变化与光谱响应解析. 束美艳,顾晓鹤,孙林,朱金山,杨贵军,王延仓,孙乾,周龙飞. 2019

[4]吐丝期玉米倒伏后地面高光谱特征参数分析. 杨粉团,顾晓鹤,李刚,王纪华,宋森楠,杨贵军,谭昌伟,郭文善. 2016

[5]玉米叶片高光谱反射率、吸收率与色素含量的关系比较分析. 谢瑞芝,周顺利,王纪华,蒋海荣. 2006

[6]用神经网络和高光谱植被指数估算小麦生物量. 王大成,王纪华,靳宁,王芊,李存军,黄敬峰,王渊,黄芳. 2008

[7]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

[8]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

[9]精准施药中叶面积指数探测研究. 吴双丽,邓巍,吴桂芳. 2017

[10]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

[11]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

[12]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

[13]北京地区冬小麦冠层光谱数据与叶面积指数统计关系研究. 刘东升,李淑敏. 2008

[14]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

[15]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

[16]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

[17]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

[18]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.

[19]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

[20]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