Modeling Early Crop Monitoring in China Using Photosynthetic Production Index

Open Access

Abstract: There is great pressure on population growth and water resources shortage in China. Aiming to monitor the early stage of crop growth, this paper presents a photosynthesis-based monitoring model for grain production. Not only the normalized difference vegetation index and elements such as the growing degree day are considered, the factors of sunshine and the cost of water resource are also considered in the model.
Combining the meteorological data with the vegetation index that is adopted from remote sensing, the model contains the elements of solar radiation, effective air temperature, vegetation biomass, stomatal opening, water stress, and the influence of temperature on grain plants, such as low-temperature sterility and high-temperature injury.
Keywords: Crop production index; Photosynthesis; Remote sensing; Monitoring; Water resource

Fengzhi Dai, Ruixiang Bai, Daijiro Kaneko and Jun Li

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College of Electronic Information and Automation, Tianjin University of Science and Technology, China; Remote Sensing Environmental Monitor, Inc., Japan; Tianjin Key Laboratory for Water Environment and Resources, Tianjin Normal University, China

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Volume 1 Issue 1

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7 - 11

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25-12-2015

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Abstract: There is great pressure on population growth and water resources shortage in China. Aiming to monitor the early stage of crop growth, this paper presents a photosynthesis-based monitoring model for grain production. Not only the normalized difference vegetation index and elements such as the growing degree day are considered, the factors of sunshine and the cost of water resource are also considered in the model.
Combining the meteorological data with the vegetation index that is adopted from remote sensing, the model contains the elements of solar radiation, effective air temperature, vegetation biomass, stomatal opening, water stress, and the influence of temperature on grain plants, such as low-temperature sterility and high-temperature injury.
Keywords: Crop production index; Photosynthesis; Remote sensing; Monitoring; Water resource

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