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Using integrated remote sensing methods in the Nagyerdő Natura 2000 area
19-24Views:206The more widely use of GIS, remote sensing technology provides appropriate data acquisition and data processing tools to build several national and international biodiversity monitoring system of environmental protection and natur conservation. The ChangeHabitats 2 is a similar international project, which uses airborne hyperspectral and airborne laser scanning (airborne LiDAR) sources beyond traditional data collection methods to build a monitoring system of Natura 2000 habitats. The goal of our research, on one hand, was to separate the most typical species of trees which can be found in the largest coverage in the research plots of Debreceni Nagyerdő Nature Reserve from field and airborne remote sensing data, use image classification that based on spectral and geometry (height) characteristics of the trees. On the other hand our goal was to evaluate the efficient use of the integration of mobilGIS, airborne hyperspectral and airborne LiDAR data collecting methods to complement or substitut of the traditional, field data collecting methods. We used ArcGIS 10.2 and Exelis 5.0 GIS software for data evaluation, in which the mosaicing, the selection of plots and the spectral image processing were carried out.
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Application of GIS, precision agriculture and unplugging cultivation in plant breeding of Karcag
49-56Views:187In the last two decades, the prevailing ecological conditions and climate change have caused negative effects. Therefore, a paradigm shift is needed in the field growing of plants. The latest inventions, digital technologies, precision cultivation are not enough, the mentality of the farmers is more important. For this reason, not only big financial sacrifices, but adequate receptivity are needed on behalf of farmers. Adequate skills and continuous self-education are necessary. The yield of plant growing farms is determined by ecological conditions to a 40% extent, genetic background of the seed has a 30% share and the applied agricultural technology has a proportion of 30%. In different agroecological conditions, bred varieties of plants have bigger tolerance to unfavorable factors of the regions and significant yield stability. Farmers, who buy and sow seeds, can only contribute to the genetic potential of the seeds with cultivation technology. Plant breeding provides stable genetic background and good quality seeds. Breeding activity – choosing variety proposants, breeding them, selection work, classical breeding process for 8-10 years – must create new landraces, which can produce balance, high yield and have good quality parameters in extreme ecological conditions, yearly excursion and have higher tolerance to unfavorable factors of the region giving significant production stability for farmers. In Karcag GIS technology, precision cultivation elements and soil-friendly agrotechnical methods have been introduced which largely support the aims of breeding and can also provide optimal cultivation conditions in extreme years. Because of the specificity of breeding the main aim is not only to increase yield but to provide harmonic growing for bred materials, to decrease the number and the cost of cultivation and to be punctual. In this study, applied new methods and technologies are introduced.
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Spatially Continuous GIS Analysis of Sampling Points Based on Yield and Quality Analysis of Sugar Beet (Beta vulgaris L.)
56-61Views:151The homogeneity of a study area of 20x20 m used for beetroot production in North-West Hungary was analysed with geo-statistical methods on the basis of measured plant and soil parameters. Based on variogram calculations (Equation 1 and 2), the yield surface showed homogeneity in North-South direction. Considering the results, decrease of sampling distance to 17 m can be suggested. The direction of the variability of yield (Figure 1) could be modelled with a direction variogram based on analysis of the variogram surface. In the study, developed methodological processes are presented for the analysis of spatial relationship between measured production and soil parameters. 5 spatial evaluation methods for yield surface were compared (Table 1). On the basis of the analysed methods, it can be stated that different methods (LP, RBF) should be used when the reasons for locally extreme yields are in focus than in case when the yield surface of the whole area is estimated (IDW, GP). Using adequate parameters the kriging method is applicable for both functions. Similarly to the results of an ordinary Pearson correlation analysis, spatial correlation analysis was shown using soil pH and Cu concentration data. The results of cross variogram analysis (Equation 2) and the North-South direction of the variogram surface showed negative correlation (Figure 3). Based on simulation calculations, decrease of 30% in sampling points resulted in increase of 12% in error for the total sample number considering Cu concentration. The method provides a tool to decrease the cost of sampling and sample analyses of spatially correlating features, and to increase the reliability of spatial estimation using a better sampling strategy with the same sample number.
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Optimization of Density of Sugar Beet (Beta vulgaris L.) Production Quotas by Pointwise Geostatistic Methods
46-50Views:105The regional distribution of the Hungarian sugar beet production quotas was developed by the conventional concurrency relationships. In our research we analyzed 320 sectors of 9 factories with geostatistic methods in a GIS environment. The applied researches of spatial mean, spatial deviation, deviational ellipse have been introduced by us in this speciality. We used two different methods in our optimization inquiries, where the spatial segment of the standard deviational ellipse was based on a more robust preliminary data processing solution, and this is why it is a less parametricable method. The inquiry of the spatial buffer zones in production sectors ensures an obvious optimization possibility. We considered the supply route distances in both cases as a modeling boundary condition. Our results show that we introduced an effective decision making method to the occurent replanning of the production sectors with the pointwise density inquiries and the geometric analogy that was fitted to it.
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Analysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methods
31-35Views:177In Hungary, corn is also infected by several important pathogens. In this experiment, we analysed the plant physiological effects of artificial late cron smut infestation using remote sensing methods under field conditions We examined the experimental area from which the data comes from with a DJI Phantom 4 Multispectral Drone NDVI and NDRE indices were calculated and analyzed in GIS programs. Individuals treated with a higher dose remained much greener than the untreated control. They also showed significant differences within the indices used.
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Application of advanced environmental assessment methods in orchard management
221-225Views:151Our reseaches were carried out in apple and pear orchards at Farm and Regional Research Institute in Pallag of the University of Debrecen and Pear Gene Reservoir in Újfehértó. Aim of this study is to interpret and analyse field studies with the aim of a GIS based database. Furthermore, beside field measurements, airborne and field hyperspectraldatacollection and analysis were also made to facilitate special watermanagement and irrigation related surveys. The integration of unified, geoinformatics systems with high spatial resolution and calibrated airborne hyperspectral data are appropriate tool for decision support systems, which support the continuous update and actualization of the changing cropping data, the analysis of cropping results in a unified complex data system, the acquiring of agro environmental subsidies, the establishment of monitoring system, and the optimization of irrigated fruit production.
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Usage of different remote sensing data in land use and vegetation monitoring
7-12Views:153The use of remote sensing in forest management and agriculture is becoming more prominent. The rapid development of technology allowed the emergence of database suitable for precision application in addition to the previously used low-resolution and low data content images. The high resolution, hyperspectral images are not only suitable for separating the different land use categories and vegetation types but also for examining the soil characteristics and biophysical features of plants (Blackburn and Steel, 1999; Condit, 1970). We processed a multispectral satellite image (Landsat 7 ETM+) and a hypespectral areal image (DAIS 7915) about a farm on the plains and evaluated the different image classification methods. During our examinations, we examined the geometrical and radiometrical characteristics of images first, then assigning the training areas, we determined the spectral characteristics of land use categories. We performed a multispectral analysis for checking land use, where we compared controlled and uncontrolled classification systems to check their reliability. We used areal and spectral reductions to make the classifications more accurate and to reduce the length of calculations.