Paper
2 October 2008 Evaluating health of paddy rice field ecosystem with remote sensing and GIS in Lower Yangtze River Plain, China
Jingjing Li, Zhihao Qin, Wenjuan Li, Lu Lin
Author Affiliations +
Proceedings Volume 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X; 710412 (2008) https://doi.org/10.1117/12.800183
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
A paddy rice ecosystem is a farming system composed of paddy, animals, microbes and other environmental factors in specific time and space, with particular temporal and spatial dynamics. Since paddy rice is a main grain crop to feed above half of population in China, the performance of paddy rice ecosystem is highly concerned to yield level of paddy and food supply safety in China. Therefore, monitoring the performance of paddy rice ecosystem is very important to obtain the required information for evaluation of ecosystem health. In the study we intend to develop an approach to monitor the ecosystem performance spatially and dynamically in a regional scale using MODIS remote sensing data and GIS spatial mapping. On the basis of key factors governing the paddy rice ecosystem, we accordingly develop the following three indicators for the evaluation: Crop growing index (CGI), environmental Index (EI), and pests-diseases index (PDI). Then, we integrated the three indicators into a model with different weight coefficients to calculate Comprehensive ecosystem health index (CEHI) to evaluate the performance and functioning of paddy rice ecosystem in a regional scale. CGI indicates the health status of paddy rice calculated from the normalizing enhanced vegetation Index (EVI) retrieved from MODIS data. EI is estimated from temperature Index (TI) and precipitation Index (PI) indicating heat and water stress on the rice field. PDI reflects the damage brought by pests and diseases, which can be estimated using the information obtained from governmental websites. Applying the approach to Lower Yangtze River Plain, we monitor and evaluate the performance of paddy rice ecosystem in various stages of rice growing period in 2006. The results indicated that the performance of the ecosystem was generally very encouraging. During booting stage and heading and blooming stage, the health level was the highest in Anhui province, which is the main paddy rice producer in the region. During stage of yellow ripeness, Jiangsu province had the lowest level of performance. Yield level of paddy rice in 2006 confirms that the applicability of the proposed approach for a rapid evaluation and monitoring of agricultural ecosystem performance in Lower Yangtze River Plain. As a result, the new approach could supply scientific basis for relevant departments taking policies and measures to make sure stable development of paddy yield.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingjing Li, Zhihao Qin, Wenjuan Li, and Lu Lin "Evaluating health of paddy rice field ecosystem with remote sensing and GIS in Lower Yangtze River Plain, China", Proc. SPIE 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X, 710412 (2 October 2008); https://doi.org/10.1117/12.800183
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KEYWORDS
Ecosystems

Remote sensing

MODIS

Vegetation

Geographic information systems

Agriculture

Environmental sensing

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