Remote Sensing, GIS and Crop Simulation Models – A Review
نویسندگان
چکیده
منابع مشابه
Remote Sensing for Crop Growth and Crop Simulation Modeling
Crop yield is the result of complex interaction among factors of soil, atmosphere, plant genotype, and management practices adopted. These complex interactions of crop with various factors and of factors among themselves make the crop yield modeling a difficult task. Several methods of crop yield forecasting have been developed ranging from purely statistical to agro-meteorological to empirical...
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Crop growth and productivity are determined by a large number of weather, soil and management variables, which vary significantly across space. Remote Sensing (RS) data, acquired repetitively over agricultural land help in identification and mapping of crops and also in assessing crop vigour. As RS data and techniques have improved, the initial efforts that directly related RS-derived vegetatio...
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The monitoring of irrigation requirements at district or regional scale can be based on the use of ecological process-based models and remote sensing data. The former simulates the time evolution (usually at daily scale) of the main biophysical variables which determine crop photosynthesis and water consumption rates; the latter allows to provide the spatial distribution of these variables over...
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Soil-Vegetation-Atmosphere Transfer models (SVAT) and Crop Simulation models describe physical and physiological processes occurring in crop canopies. Remote sensing data may be used through assimilation procedures for constraining or driving SVAT and crop models. We developed the coupling between crop, SVAT and radiative transfer models in order to implement assimilation procedures in various ...
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This paper reviews existing population estimation methods in the GIS and remote sensing literatures. The methods can be grouped into two categories: areal interpolation methods and statistical modeling methods. Areal interpolation methods can be further separated into two categories depending on whether ancillary information is used. Statistical modeling methods can be further grouped into five...
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ژورنال
عنوان ژورنال: International Journal of Current Research in Biosciences and Plant Biology
سال: 2017
ISSN: 2349-8072,2349-8080
DOI: 10.20546/ijcrbp.2017.408.011