Methods for integration of remote sensing data and crop model and their prospects in agricultural application

被引：0
|
作者：
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China [1 ]
机构：
来源：
Nongye Gongcheng Xuebao | 2008年 / 11卷 / 295-301期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Large Remote Sensing Model：Progress and Prospects
    Zhang L.
    Zhang L.
    Yuan Q.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2023, 48 (10): : 1574 - 1581
  • [32] RESULTS AND PROSPECTS OF DEVELOPMENT OF REMOTE-SENSING METHODS IN VNIIKAM (INSTITUTE-OF-REMOTE-SENSING-METHODS-FOR-GEOLOGY)
    PERTSOV, AV
    SHILIN, BV
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1992, 13 (11) : 2163 - 2166
  • [33] The use of remote sensing data for the application of a hydrological catchment model
    Wegehenkel, Martin
    PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL CONFERENCE ON WATER RESOURCES MANAGEMENT, 2007, : 103 - 108
  • [34] Incorporating remote sensing data in crop model to monitor crop growth and predict yield in regional area
    Guo Jianmao
    Lu Weisong
    Zhang Guoping
    Qian Yonglan
    Yu Qiang
    Zhang Jiahua
    AGRICULTURE AND HYDROLOGY APPLICATIONS OF REMOTE SENSING, 2006, 6411
  • [35] A review of agricultural drought assessment with remote sensing data: methods, issues, challenges and opportunities
    Mullapudi, Archana
    Vibhute, Amol D. D.
    Mali, Shankar
    Patil, Chandrashekhar H. H.
    APPLIED GEOMATICS, 2023, 15 (01) : 1 - 13
  • [36] A review of agricultural drought assessment with remote sensing data: methods, issues, challenges and opportunities
    Archana Mullapudi
    Amol D. Vibhute
    Shankar Mali
    Chandrashekhar H. Patil
    Applied Geomatics, 2023, 15 : 1 - 13
  • [37] Progress and prospects of hyperspectral remote sensing technology for crop diseases and pests
    Zhang N.
    Yang G.
    Zhao C.
    Zhang J.
    Yang X.
    Pan Y.
    Huang W.
    Xu B.
    Li M.
    Zhu X.
    Li Z.
    National Remote Sensing Bulletin, 2021, 25 (01) : 403 - 422
  • [38] The application of simple methods using remote sensing data for the regional validation of a semidistributed hydrological catchment model
    Wegehenkel, M
    Jochheim, H
    Kersebaum, KC
    PHYSICS AND CHEMISTRY OF THE EARTH, 2005, 30 (8-10) : 575 - 587
  • [39] Crop growth remote sensing monitoring and its application
    Xiong, Delan
    Sensors and Transducers, 2014, 169 (04): : 174 - 178
  • [40] A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems
    Dlamini, Luleka
    Crespo, Olivier
    van Dam, Jos
    Kooistra, Lammert
    REMOTE SENSING, 2023, 15 (16)
12345