文献类型: 会议论文
第一作者: Song Xiaoyu
作者: Song Xiaoyu 1 ; Gu Xiaohe 1 ; Wang Jihua 2 ; Chang Hong 1 ;
作者机构: 1.Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences
2.Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences
关键词: Yield Potential;Remote sensing;Winter wheat
会议名称: IEEE International Geoscience and Remote Sensing Symposium
主办单位:
页码: 2122-2125
摘要: Recently, raising yield per unit of available arable land becomes necessary to combat the challenge due to increasing population with decreasing arable land. Therefore, it is imperative to evaluate the yield potential for the cropland. The objective of this study was to evaluate the winter wheat yield potential for cropland of Beijing suburb. Three years' continuous remote sensing yield monitoring experiments were carried out from 2007 to 2009. Multi-temporal remote sensing images of Landsat5 TM and BJ-1 were collected at the winter wheat growth season. The winter wheat yield monitoring models were established based on the remote sensing vegetation index and the actual yield data for each year. Then, relationship between three years winter wheat monitoring yield and habitat factors, including climatic factors, soil factors and terrain factors, were analyzed. Principal Component Analysis (PCA) and Multi-linear regression (MLR) analysis method are combined to construct the wheat yield potential assessment model, to comprehensively evaluate the wheat-growing areas and classify medium- and low-yield fields in Beijing suburb. The information from this study allow us to systematically understand the wheat medium- and low-yield fields of Beijing area and their spatial distribution features, identify key potential barrier factors, and establish reference for medium- and low-yield farmland in transformation, crop distribution management and rational fertilization in Beijing area.
分类号: TP7-53
- 相关文献
[1]EVALUATION OF ARABLE LAND YIELD POTENTIAL THROUGH REMOTE SENSING MONITORING. Song Xiaoyu,Gu Xiaohe,Chang Hong. 2014
[2]SPATIAL VARIABILITY OF WINTER WHEAT GROWTH BASED ON THE INDIVIDUAL INDEX AND THE POPULATION INDEX. Bei Cui,Xiaoyu Song,Wude Yang,Meichen Feng,Jihua Wang. 2014
[3]SPATIAL VARIABILITY OF WINTER WHEAT GROWTH BASED ON THE INDIVIDUAL INDEX AND THE POPULATION INDEX. Cui, Bei,Song, Xiaoyu,Feng, Meichen. 2014
[4]Monitoring quality of winter wheat based on the HJ satellite images. Wang Yan,Li Cunjun. 2012
[5]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.
[6]WINTER WHEAT CROPLAND GRAIN PROTEIN CONTENT EVALUATION THROUGH REMOTE SENSING. Song, Xiaoyu,Yang, Guijun,Feng, Haikuan,Wang, Jihua. 2014
[7]Simulation of Winter Wheat Phenology in Beijing Area with DSSAT-CERES Model. Haikuan Feng,Zhenhai Li,Peng He,Xiuliang Jin,Guijun Yang,Haiyang Yu,Fuqin Yang. 2016
[8]CHARACTERIZATION OF POWDERY MILDEW IN WINTER WHEAT USING MULTI-ANGULAR HYPERSPECTRAL MEASUREMENTS. Jinling Zhao,Lin Yuan,Linsheng Huang,Dongyan Zhang,Jingcheng Zhang,Xiaohe Gu. 2013
[9]Retrieval of LAI and leaf chlorophyll content from remote sensing data by agronomy mechanism knowledge to solve the ill-posed inverse problem. Zhenhai Li,Chenwei Nie,Guijun Yang,Xingang Xu,Xiuliang Jin,Xiaohe Gu. 2014
[10]Monitoring the ratio of leaf carbon to nitrogen in winter wheat with hyperspectral measurements. Xin-gang Xu,Xiao-dong Yang,Xiao-he Gu,Hao Yang,Hai-kuan Feng,Gui-jun Yang,Xiao-yu,Song. 2015
[11]Study the Spatial-Temporal Variation of Wheat Growth Under Different Site-Specific Nitrogen Fertilization Approaches. Bei Cui,Wenjiang Huang,Xiaoyu Song,Huichun Ye,Yingying Dong. 2019
[12]Evaluating and Classifying Field-Scale Soil Nutrient Status in Beijing using 3S Technology. Xue, Yong-An,Huang, Lin-Sheng,Zhang, Dong-Yan,Zhao, Jin-Ling,Yang, Hao. 2012
[13]Monitoring of Rapid Urban Sprawl in Beijing with Time Series Remote Sensing Data and Analysis of Driving Forces. Zhao, Jinling,Yang, Yao,Zhang, Dongyan,Huang, Linsheng. 2013
[14]Integrating Remotely Sensed and Meteorological Observations to Forecast Wheat Powdery Mildew at a Regional Scale. Zhang, Jingcheng,Nie, Chenwei,Yang, Guijun,Pu, Ruiliang,Yuan, Lin,Huang, Wenjiang. 2014
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[17]Quick image processing method of HJ satellites applied in agriculture monitoring. Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong,Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong. 2016
[18]Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery. Yang, Hao,Zhao, Chunjiang,Yang, Guijun,Yuan, Lin,Yang, Xiaodong,Xu, Xingang,Yang, Hao,Li, Zengyuan,Chen, Erxue. 2015
[19]Satellite Observations on Agricultural Adaptation to Drought in Southwestern China. Dong, Yansheng,Li, Cunjun,Chen, Hongping. 2012
[20]Spatial decision supporting for winter wheat irrigation and fertilizer optimizing in North China Plain. Yang Xiaodong,Yang Hao,Dong Yansheng,Yu Haiyang. 2014
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