1,035 research outputs found

    Soil Survey and Land Valuation for Tax Purposes

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    The responsibility of assessing farm real estate for taxation purposes falls to the tax assessor. Even though most assessors have a sincere desire to achieve an equitable relationship between individual farms, justifiable criticism has been directed against the present taxation procedure for many years. Too often determination of the assessed value of rural property has been based upon average values for an area and upon the management of land rather than on such basic factors as types of soils, location and accessibility. Some farmers have decided against making improvements to the farmstead, such as a needed paint job or repair of buildings because well-kept buildings invite further taxes. However, it is difficult for a good farmer not to keep his fields in good condition and appearance. Good management often can make poor land appear better than good land under poor management. It is in cases of this sort that the assessor may tax the better management

    Soils of South Dakota

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    Soil maps fill an important function in the agricultural program of South Dakota. They are the means of taking stock of the State\u27s most important natural resource- the soil. Besides furnishing this inventory, these maps assist the people of the state in applying the research of laboratories and green houses. Fertilizer responses, crop adaptabilities, and management techniques are by no means the same on all soils. This is because soils have different levels of natural fertility, different water storage capacities, etc. Consequently, it is necessary to inventory the soil resources and to use this as a basis for satisfactory soil management and fertility practices. The map in this folder is based on data obtained from the following sources: unpublished Reconnaissance Soil Map of South Dakota (1935) by J. G. Hutton, South Dakota Agricultural Experiment Station, and W. I. Watkins, U.S.D.A.; information supplied by the U.S.D.A. Soil Conservation Service Soil Surveyors; and maps and reports of the writers and the Bureau of Plant Industry, Soils and Agricultural Engineering, U.S.D.A

    Evaluation of HCMM data for assessing soil moisture and water table depth

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    Soil moisture in the 0-cm to 4-cm layer could be estimated with 1-mm soil temperatures throughout the growing season of a rainfed barley crop in eastern South Dakota. Empirical equations were developed to reduce the effect of canopy cover when radiometrically estimating the soil temperature. Corrective equations were applied to an aircraft simulation of HCMM data for a diversity of crop types and land cover conditions to estimate the soil moisture. The average difference between observed and measured soil moisture was 1.6% of field capacity. Shallow alluvial aquifers were located with HCMM predawn data. After correcting the data for vegetation differences, equations were developed for predicting water table depths within the aquifer. A finite difference code simulating soil moisture and soil temperature shows that soils with different moisture profiles differed in soil temperatures in a well defined functional manner. A significant surface thermal anomaly was found to be associated with shallow water tables

    Use of remote sensing techniques for inventorying and planning utilization of land resources in South Dakota

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    The basic procedures for interpreting remote sensing imagery to rapidly develop general soils and land use inventories were developed and utilized in Pennington County, South Dakota. These procedures and remote sensing data products were illustrated and explained to many user groups, some of whom are interested in obtaining similar data. The general soils data were integrated with land soils data supplied by the county director of equalization to prepare a land value map. A computer print-out of this map indicating a land value for each quarter section is being used in tax reappraisal of Pennington County. The land use data provided the land use planners with the present use of land in Pennington County. Additional uses of remote sensing applications are also discussed including tornado damage assessment, hail damage evaluation, and presentation of soil and land value information on base maps assembled from ERTS-1 imagery

    Evaluation of HCMM data for assessing soil moisture and water table depth

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    Data were analyzed for variations in eastern South Dakota. Soil moisture in the 0-4 cm layer could be estimated with 1-mm soil temperatures throughout the growing season of a rainfed barley crop (% cover ranging from 30% to 90%) with an r squared = 0.81. Empirical equations were developed to reduce the effect of canopy cover when radiometrically estimating the 1-mm soil temperature, r squared = 0.88. The corrective equations were applied to an aircraft simulation of HCMM data for a diversity of crop types and land cover conditions to estimate the 0-4 cm soil moisture. The average difference between observed and measured soil moisture was 1.6% of field capacity. HCMM data were used to estimate the soil moisture for four dates with an r squared = 0.55 after correction for crop conditions. Location of shallow alluvial aquifers could be accomplished with HCMM predawn data. After correction of HCMM day data for vegetation differences, equations were developed for predicting water table depths within the aquifer (r=0.8)

    Progress in Agricultural Research at the North Central Substation

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    Thousands of acres of farm land in the north central part of South Dakota have their productive future tied up with the 240 acres used for experimental research at the Substation at Eureka. Established nearly 50 years ago by the state legislature, which set aside state school lands for agricultural research, the North Central Substation is the proving ground for new agricultural methods and a living record of the accumulative effects of the old. As early as 1908, rotation experiments were started which became the first historical record in the northern plains area of the effects of cropping practices on the soil. At that time, the entire surrounding country was in wheat. There were no crop rotations, since the organic matter of the soil was good and the fertility level high. Also, there was no weed problem then. Later, the Experiment Station was to be accused of scattering weeds in one of the most interesting stories to be uncovered in the development of experimental research in this area. Foreseeing the time when the fertility of the land might become dangerously lowered by the practice of continuous cropping which was being carried on at that time, the Substation set up experimental plots. These included the basic crops of rotation-cultivated crops, small grain and legumes. In this case, the legume was sweet clover. (See more in Text

    The Homogeneity of Interstellar Oxygen in the Galactic Disk

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    We present an analysis of high resolution HST Space Telescope Imaging Spectrograph (STIS) observations of O I 1356 and H I Lyman-alpha absorption in 36 sight lines that probe a variety of Galactic disk environments and include paths that range over nearly 4 orders of magnitude in f(H_2), over 2 orders of magnitude in mean sight line density, and that extend up to 6.5 kpc in length. Consequently, we have undertaken the study of gas-phase O/H abundance ratio homogeneity using the current sample and previously published Goddard High-Resolution Spectrograph (GHRS) results. Two distinct trends are identified in the 56 sight line sample: an apparent decrease in gas-phase oxygen abundance with increasing mean sight line density and a gap between the mean O/H ratio for sight lines shorter and longer than about 800 pc. The first effect is a smooth transition between two depletion levels associated with large mean density intervals; it is centered near a density of 1.5 cm^-3 and is similar to trends evident in gas-phase abundances of other elements. Paths less dense than the central value exhibit a mean O/H ratio of log_10 (O/H) = -3.41+/-0.01 (or 390+/-10 ppm), which is consistent with averages determined for several long, low-density paths observed by STIS (Andre et al. 2003) and short low-density paths observed by FUSE (Moos et al. 2002). Sight lines of higher mean density exhibit an average O/H value of log_10 (O/H) = -3.55+/-0.02 (284+/-12 ppm). The datapoints for low-density paths are scattered more widely than those for denser sight lines, due to O/H ratios for paths shorter than 800 pc that are generally about 0.10 dex lower than the values for longer ones.Comment: 33 pages, including 8 figures and 4 tables; accepted for publication in ApJ, tentatively in Oct 200

    Privacy threat model in lifelogging

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    The lifelogging activity enables a user, the lifelogger, to passively capture multimodal records from a first-person perspective and ultimately create a visual diary encompassing every possible aspect of her life with unprecedented details. In recent years it has gained popularity among different groups of users. However, the possibility of ubiquitous presence of lifelogging devices especially in private spheres has raised serious concerns with respect to personal privacy. Different practitioners and active researchers in the field of lifelogging have analysed the issue of privacy in lifelogging and proposed different mitigation strategies. However, none of the existing works has considered a well-defined privacy threat model in the domain of lifelogging. Without a proper threat model, any analysis and discussion of privacy threats in lifelogging remains incomplete. In this paper we aim to fill in this gap by introducing a first-ever privacy threat model identifying several threats with respect to lifelogging. We believe that the introduced threat model will be an essential tool and will act as the basis for any further research within this domain

    OB Stars in the Solar Neighborhood I: Analysis of their Spatial Distribution

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    We present a newly-developed, three-dimensional spatial classification method, designed to analyze the spatial distribution of early type stars within the 1 kpc sphere around the Sun. We propose a distribution model formed by two intersecting disks -the Gould Belt (GB) and the Local Galactic Disk (LGD)- defined by their fundamental geometric parameters. Then, using a sample of about 550 stars of spectral types earlier than B6 and luminosity classes between III and V, with precise photometric distances of less than 1 kpc, we estimate for some spectral groups the parameters of our model, as well as single membership probabilities of GB and LGD stars, thus drawing a picture of the spatial distribution of young stars in the vicinity of the Sun.Comment: 28 pages including 9 Postscript figures, one of them in color. Accepted for publication in The Astronomical Journal, 30 January 200
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