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Cotton Field Drought Monitoring Models with Remotely Sensed Data in Arid Area

Author: SuYi
Tutor: WangKeRu；LiShaoKun
School: Shihezi University
Course: Crop Cultivation
Keywords: Cotton Moisture monitoring Hyperspectral Satellite Remote Sensing NDWI TVDI
CLC: S127
Type: Master's thesis
Year: 2010
Downloads: 63
Quote: 0
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Abstract


Cotton is the most advantage of one of the cash crops of the Xinjiang Production and Construction Corps (referred to as the Corps), is the main source of income for the economic development of the Corps and the majority of the mission field workers, but due to the extreme shortage of water resources in the region, and the cotton-growing relatively concentrated, resulting in cotton water stress during the blooming period, resulting in some cotton fields affected by the drought, has considerably reduced the yield of cotton. This article analyzes the needs of practical agricultural applications, to the Xinjiang cotton monitoring applications targeted to carry out the research models and methods, and achieved in the last preliminary experimental cotton field drought monitoring. The characteristics of the cotton crop, we first model on the basis of the experimental observations improvements. First compare several different cotton field moisture test method, especially for cotton water demand sensitive period during the blooming period, we have designed a cell water testing and field validation, while TM satellite data in remote sensing image accurately obtain the Cotton Fields moisture condition information extracted The the the cotton terraces moisture index on the medium-resolution images to carry out the research. And the last to carry the the Xinjiang cotton Daejeon drought monitoring test. This study mainly include the following aspects: (1) the use of several different cotton field moisture test methods for cotton field moisture monitoring, while comparing the advantages and disadvantages of several methods, and quick to take advantage of the nearly hyperspectral remote sensing method is proved by experiments accuracy, canopy reflectance study found differences in the different degree of drought stress in the near-infrared wavelengths of 700-1300nm and mid-infrared wavelengths of 1600-1899nm difference is particularly significant. (2) crop water status was to evaluate the crop and increase crop yields and improve crop quality, an important factor. The precision cotton production for non-destructive, rapid the plants moisture content monitoring technology has urgent needs. Through the study canopy moisture content in cotton plants with high optical potential parameters of quantitative relations and the establishment of the plant water content estimation model, in order to achieve non-destructive monitoring of plant water status. Cotton different growth stages of canopy hyperspectral data collected by two consecutive years of different irrigation test and simultaneous determination of the water content in plant analysis of the relationship between the cotton canopy spectral parameters and plant moisture content, plant water content-based hyperspectral parameters estimation model. Show: the moisture content of cotton plants with increasing irrigation amount showing an upward trend, the moisture content of cotton plants of different periods and spectral reflectance in visible light (400-700nm) first and then decreased trend in the near-infrared 700 - 1300nm band range was increased and then decreased, while the rise in the range of 1300-1800nm ??band was the first decline in the trend. Three kinds of spectral parameters WI1, NDWI.WI, / NDWI and other established the cotton plant groups moisture content monitoring model, respectively, in the cotton bud stage, flowering stage, boll of three critical growth period, plant moisture content prediction accuracy the highest forecast relative error less than 13% on average, more accurate inversion of the moisture content of cotton plants at different growth stages. Built predictive models of plant water use WIl.NDWI.WI1/NDWI spectral parameters are cotton bud stage, flowering stage, the best model of the boll and boll opening period groups the plants moisture content monitoring. (3) the text adopted in July 2009 and August TM5 data NDVI and Ts, build NDVI-Ts feature space. NDVI-Ts feature space-based, set up to reflect the drought TVDI index. The utilize TVDI cotton fields in July 2009 and August drought evaluation and use of the synchronized surface soil moisture data to validate the drought indicators. The results show, Application of TVDI soil moisture significantly related to the evaluation drought is reasonable. NDWI and soil humidity no correlation with plant water content was significantly related to reasonable evaluation of the water content in plant conditions, NDWI better reflect foliar moisture content characteristic. In order to clarify the relationship of leaf water content on soil moisture, foliar moisture content and soil moisture correlation analysis, the correlation is not high foliar moisture content did not change on soil moisture. Although this section during the NDWI reflect to some extent the foliar moisture content, but not in a timely manner to reflect the changes of soil water content.

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CLC: > Agricultural Sciences > Agriculture as the foundation of science > Agricultural physics > The application of remote sensing in agriculture
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