Contribution of Remote Sensing on Crop Models: A Review
نویسندگان
چکیده
منابع مشابه
Remote Sensing for Crop Management
Scientists with the Agricultural Research Service (ARS) and various government agencies and private institutions have provided a great deal of fundamental information relating spectral reflectance and thermal emittance properties of soils and crops to their agronomic and biophysical characteristics. This knowledge has facilitated the development and use of various remote sensing methods for non...
متن کاملRemote 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...
متن کاملCrop Yield Assessment from Remote Sensing
Monitoring crop condition and production estimates at the state and county level is of great interest to the U.S. Department of Agriculture. The National Agricultural Statistical Service (NASS) of the U.S. Department of Agriculture conducts field interviews with sampled farm operators and obtains crop cuttings to make crop yield estimates at regional and state levels. NASS needs supplemental sp...
متن کاملAssimilation of remote sensing data into crop simulation models and SVAT models
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 ...
متن کاملIntegration of a Crop Simulation Model and Remote Sensing Information
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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ژورنال
عنوان ژورنال: Journal of Imaging
سال: 2018
ISSN: 2313-433X
DOI: 10.3390/jimaging4040052