Development of a rice simulation model for remote-sensing (SIMRIW-RS)

被引:17
|
作者
Homma, Koki [1 ,2 ]
Maki, Masayasu [3 ,4 ]
Hirooka, Yoshihiro [1 ,5 ]
机构
[1] Kyoto Univ, Grad Sch Agr, Kyoto 6068502, Japan
[2] Tohoku Univ, Grad Sch Agr Sci, Sendai, Miyagi 9818555, Japan
[3] Kyoto Univ, Grad Sch Engn, Kyoto 6158530, Japan
[4] Tohoku Inst Technol, Fac Engn, Sendai, Miyagi 9828577, Japan
[5] Kindai Univ, Fac Agr, Nara 6318505, Japan
关键词
Farmer's management; Leaf area index (LAI); Nitrogen uptake; Regional scale; Soil fertility; NITROGEN-USE EFFICIENCY; DIVERSITY RESEARCH SET; MINI-WATERSHED NONG; TOPOSEQUENTIAL VARIATION; NORTHEAST; FARMERS; SYSTEMS; FIELDS; GROWTH; INDEX;
D O I
10.2480/agrmet.D-14-00022
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
To evaluate rice production and management on a regional scale, a simulation model combined with remote-sensing is recommended. This study aimed to develop a simulation model for use with remote-sensing (SIMRIW-RS) to evaluate the field-to-field variation in rice production on a regional scale. This model was developed based on a simulation model for rice weather relations called SIMRIW and its derived models. The model consists of 6 components (water budget, nitrogen uptake, phenological development, leaf area index (LAI) growth, dry matter production and yield formation) and has 2 representative field parameters and 5 representative cultivar parameters. The parameters that were determined with the data from previous field studies seemed to be reflected with field and cultivar characteristics, and differences in the rice growth and production among the fields and cultivars were well explained by the model. The application of the model on a regional scale using remote sensing is discussed.
引用
收藏
页码:9 / 15
页数:7
相关论文
共 50 条
  • [21] Toolkit for remote-sensing analysis, design, evaluation and simulation
    McComas, BK
    [J]. MODELING, SIMULATION, AND CALIBRATION OF SPACE-BASED SYSTEMS, 2004, 5420 : 75 - 84
  • [22] MODEL FOR THE INTERPRETATION OF HYPERSPECTRAL REMOTE-SENSING REFLECTANCE
    LEE, ZP
    CARDER, KL
    HAWES, SK
    STEWARD, RG
    PEACOCK, TG
    DAVIS, CO
    [J]. APPLIED OPTICS, 1994, 33 (24) : 5721 - 5732
  • [23] Model for the interpretation of hyperspectral remote-sensing reflectance
    Lee, Zhongping
    Carder, Kendall L.
    Hawes, Steve K.
    Steward, Robert G.
    Peacock, Thomas G.
    Davis, Curtiss O.
    [J]. Applied Optics, 1994, 33 (24): : 5721 - 5732
  • [24] A SOIL THERMAL-MODEL FOR REMOTE-SENSING
    HO, D
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1987, 25 (02): : 221 - 229
  • [25] Integration of remote sensing data and simulation model to estimate rice yield
    Huang, JF
    Tang, SC
    Abou-Ismail, O
    Wang, RC
    [J]. 2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE, 2001, : A101 - A107
  • [26] Transfer model to determine the above-water remote-sensing reflectance from the underwater remote-sensing ratio
    Bi, Shun
    Roettgers, Ruediger
    Hieronymi, Martin
    [J]. OPTICS EXPRESS, 2023, 31 (06) : 10512 - 10524
  • [27] End-to-End Simulation and Analytical Model of Remote-Sensing Systems: Application to CRISM
    Parente, Mario
    Clark, J. Trevor
    Brown, Adrian J.
    Bishop, Janice L.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (11): : 3877 - 3888
  • [28] SATELLITE REMOTE-SENSING MARKET DEVELOPMENT - AN ALTERNATIVE SCENARIO
    PARDOE, GKC
    WHITE, LP
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1989, 10 (02) : 295 - 299
  • [29] Development of a remote sensing-based rice yield forecasting model
    Mosleh, Mostafa K.
    Hassan, Quazi K.
    Chowdhury, Ehsan H.
    [J]. SPANISH JOURNAL OF AGRICULTURAL RESEARCH, 2016, 14 (03)
  • [30] A GEOCHEMICAL MODEL FOR THE DETECTION OF HYDROCARBON LEAKAGE BY REMOTE-SENSING
    MATTHEWS, MD
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1984, 187 (APR): : 38 - GEOC