ANNUAL REPORT of LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1973-June 30, 1974

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

ANNUAL REPORT of LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1974-June 30, 1975

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

ANNUAL REPORT of LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1975-June 30, 1976

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

ANNUAL REPORT of LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1976-June 30, 1977

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

ANNUAL REPORT of LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1977-June 30, 1978

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

ANNUAL REPORT of LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1978-June 30, 1979

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

ANNUAL REPORT of LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1980-June 30, 1981

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

ANNUAL REPORT of LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1982-June 30, 1983

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

ANNUAL REPORT of LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1983-June 30, 1984

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

ANNUAL REPORT OF LANDER COLLEGE TO THE GOVERNOR AND GENERAL ASSEMBLY July 1, 1984-June 30, 1985

Each year Lander University produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, agency discussion and analysis, and strategic planning documents.

Report of the Tax Study Committee to the House of Representatives of the General Assembly of South Carolina.

This is a report by the Committee that was created by House Resolution 1691 of 1965 for the purpose of studying the State's tax laws relating to the assessment and collection of ad valorem taxes by the political subdivisions of the state. The Committee found that some statutory requirements relating to reporting and assessment of property for local tax purposes were being ignored for practical reasons, and that, in the opinion of the Committee, actual practice was sometimes productive of better results than existing legal requirements. In those cases, the Committee has recommended changes in the law so that legal requirements will coincide with desirable practice.

Report of the Tax Study Committee to the House of Representatives of the General Assembly of South Carolina

This is a report by the Committee that was created by House Resolution 1691 of 1965 for the purpose of studying the State's tax laws relating to the assessment and collection of ad valorem taxes by the political subdivisions of the state. The Committee found that some statutory requirements relating to reporting and assessment of property for local tax purposes were being ignored for practical reasons, and that, in the opinion of the Committee, actual practice was sometimes productive of better results than existing legal requirements. In those cases, the Committee has recommended changes in the law so that legal requirements will coincide with desirable practice.

Octagonal Microstrip Patch Antenna For Dual Band Applications

A dual port dual polarized octagonal microstrip patch antenna suitable for dual band applications is discussed theoretically and experimentally. The antenna exhibits good impedance bandwidth, gain and broad radiation patterns. Parameters predicted by the Conformal Finite Difference Time Domain algorithm show good agreement with the simulated results and experimental observations

Robust regression applied to fractal/multifractal analysis.

Fractal and multifractal are concepts that have grown increasingly popular in recent years in the soil analysis, along with the development of fractal models. One of the common steps is to calculate the slope of a linear fit commonly using least squares method. This shouldn?t be a special problem, however, in many situations using experimental data the researcher has to select the range of scales at which is going to work neglecting the rest of points to achieve the best linearity that in this type of analysis is necessary. Robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non-parametric methods. In this method we don?t have to assume that the outlier point is simply an extreme observation drawn from the tail of a normal distribution not compromising the validity of the regression results. In this work we have evaluated the capacity of robust regression to select the points in the experimental data used trying to avoid subjective choices. Based on this analysis we have developed a new work methodology that implies two basic steps: ? Evaluation of the improvement of linear fitting when consecutive points are eliminated based on R pvalue. In this way we consider the implications of reducing the number of points. ? Evaluation of the significance of slope difference between fitting with the two extremes points and fitted with the available points. We compare the results applying this methodology and the common used least squares one. The data selected for these comparisons are coming from experimental soil roughness transect and simulated based on middle point displacement method adding tendencies and noise. The results are discussed indicating the advantages and disadvantages of each methodology.

Comparison of fractal dimensions based on segmented NDVI fields obtained from different remote sensors.

Satellite image data have become an important source of information for monitoring vegetation and mapping land cover at several scales. Beside this, the distribution and phenology of vegetation is largely associated with climate, terrain characteristics and human activity. Various vegetation indices have been developed for qualitative and quantitative assessment of vegetation using remote spectral measurements. In particular, sensors with spectral bands in the red (RED) and near-infrared (NIR) lend themselves well to vegetation monitoring and based on them [(NIR - RED) / (NIR + RED)] Normalized Difference Vegetation Index (NDVI) has been widespread used. Given that the characteristics of spectral bands in RED and NIR vary distinctly from sensor to sensor, NDVI values based on data from different instruments will not be directly comparable. The spatial resolution also varies significantly between sensors, as well as within a given scene in the case of wide-angle and oblique sensors. As a result, NDVI values will vary according to combinations of the heterogeneity and scale of terrestrial surfaces and pixel footprint sizes. Therefore, the question arises as to the impact of differences in spectral and spatial resolutions on vegetation indices like the NDVI. The aim of this study is to establish a comparison between two different sensors in their NDVI values at different spatial resolutions.