• Journal of Geo-information Science
  • Vol. 22, Issue 4, 731 (2020)
Zhifeng WU1、1, Jiancheng LUO2、2、3、3、*, Yingwei SUN2、2、3、3, Tianjun WU4、4, Zheng CAO1、1, Wei LIU2、2、3、3, Yingpin YANG2、2、3、3, and Lingyu WANG5、5
Author Affiliations
  • 1School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China
  • 1广州大学地理科学学院,广州 510006
  • 2Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  • 2中国科学院空天信息创新研究院,北京 100101
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 3中国科学院大学,北京 100049
  • 4School of Geology Engineering and Geomatics, Chang'an University, Xi'an 710064, China
  • 4长安大学地质工程与测绘学院,西安 710064
  • 5Institute of Karst Science, Guizhou Normal University, Guiyang 550001, China
  • 5贵州师范大学喀斯特研究院,贵阳 550001
  • show less
    DOI: 10.12082/dqxxkx.2020.190726 Cite this Article
    Zhifeng WU, Jiancheng LUO, Yingwei SUN, Tianjun WU, Zheng CAO, Wei LIU, Yingpin YANG, Lingyu WANG. Research on Precision Agricultural based on the Spatial-temporal Remote Sensing Collaboration[J]. Journal of Geo-information Science, 2020, 22(4): 731 Copy Citation Text show less
    Space-spatial cooperation research framework of remote sensing
    Fig. 1. Space-spatial cooperation research framework of remote sensing
    Schematic diagram division control and stratified extraction workflow of mountain area
    Fig. 2. Schematic diagram division control and stratified extraction workflow of mountain area
    Remote sensing image and diagram of typical geo-parcel
    Fig. 3. Remote sensing image and diagram of typical geo-parcel
    Geo-parcel spatial distribution map in Xixiu District and Quli Town
    Fig. 4. Geo-parcel spatial distribution map in Xixiu District and Quli Town
    Geo-parcel results of the proposed method and the multi-segment method
    Fig. 5. Geo-parcel results of the proposed method and the multi-segment method
    Crop physical and chemical parameters inversion at geo-parcel scale
    Fig. 6. Crop physical and chemical parameters inversion at geo-parcel scale
    Curve diagram of sugarcane plot and NDVI in Dubang Village, Fusui County
    Fig. 7. Curve diagram of sugarcane plot and NDVI in Dubang Village, Fusui County
    Dynamic LAI changes of sugarcane plot in Dubang Village, Fusui County
    Fig. 8. Dynamic LAI changes of sugarcane plot in Dubang Village, Fusui County
    参数符号范围个数分布
    太阳天顶角/°ϴs-1固定值
    观测天顶角/°ϴv-1固定值
    相对方位角/°Φ-1固定值
    叶面积指数/(m2/m2)LAI0.1~625均匀分布
    平均叶倾角/°ALA20~705均匀分布
    热点参数Hot0.05~0.55均匀分布
    散射光比例skyl-1固定值
    土壤相对湿度αsoil0.0~1.05均匀分布
    叶绿素a/b浓度/(μg/cm2)Cab5~10022均匀分布
    胡萝卜素浓度/(μg/cm2)Car0.001~253均匀分布
    等效水分厚度/cmCw0.001~0.053均匀分布
    干物质含量/(g/cm2)Cm0.001~0.025均匀分布
    棕色素相对含量Cbp01固定值
    叶片结构参数N1~35均匀分布
    Table 1. input parameters for PROSAIL model
    Zhifeng WU, Jiancheng LUO, Yingwei SUN, Tianjun WU, Zheng CAO, Wei LIU, Yingpin YANG, Lingyu WANG. Research on Precision Agricultural based on the Spatial-temporal Remote Sensing Collaboration[J]. Journal of Geo-information Science, 2020, 22(4): 731
    Download Citation