E. E. Hardy

Cornell University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Land-use classes

Access Science (2015)

A Lieberman E. E. Hardy

AccessScience is an authoritative and dynamic online resource that contains incisively written, high-quality educational material covering all major scientific disciplines. An acclaimed gateway to scientific knowledge, AccessScience is continually expanding the ways it can demonstrate and explain core, trustworthy scientific information that inspires and guides users to deeper knowledge.

Trustworthiness

Gateway (web page)

10.1036/1097-8542.369700

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A COLOR PREDICTION MODEL FOR IMAGERY ANALYSIS

Photogrammetric Engineering & Remote Sensing (1977)

James E. Skaley Jacqueline Fisher E. E. Hardy

A simple model has been devised to selectively construct several points within a scene using multispectral imagery. The model correlates black-and-white density values to color components of diazo film so as to maximize the color contrast of two or three points per composite. The CIE (Commission Internationale de l'Eclairage) color coordinate system is used as a quantitative reference to locate these points in color space. Superimposed on this quantitative reference is a perceptional framework which functionally contrasts color values in a psychophysical sense. This methodology permits a more quantitative approach to the manual interpretation of multispectral imagery while resulting in improved accuracy and lower costs.

ICC profile

Multispectral pattern recognition

Color balance

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USING AREA POINT SAMPLES AND AIRPHOTOS TO ESTIMATE LAND USE CHANGE

Agricultural economics research (1976)

Kathryn A. Zeimetz Elizabeth Dillon E. E. Hardy Robert C. Otte F. J. Marschner

A two-stage sample of airphoto prints and point sampling was used to examine changes in land use patterns in 53 selected counties that had grown rapidly and substantially in population between 1960 and 1970. Point sampling, 20 points per square mile, was used on a sample of airphoto prints approximating 15 percent of the land area to study 12 categories of rural and urban land use. This approach evolved from experience with different scales of photos, areal samples of photos, random traverses, and point sampling in varying combination. This technique, an inexpensive one, resulted in data that satisfactorily correlated with comparable data from other sources and provided detail on the dynamics of land use change.

Sample (material)

Square (algebra)

Land area

Systematic sampling

10.22004/ag.econ.147697

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Applications of ERTS imagery to investigating land use and natural resources. [agriculture, forests, and residential areas of New York

E. E. Hardy

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Evaluation of Skylab imagery as an information service for investigating land use and natural resources. [Hudson River Valley and Long Island, New York

E. E. Hardy

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Evaluation of Skylab imagery as an information service for investigating land use and natural resources. [wildlife biology and environmental management in New York State

E. E. Hardy Duncan John Deuchar Stevens

Natural Resource Management

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Evaluation of Skylab imagery as an information service for investigating land use and natural resources

E. E. Hardy

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Evaluation of Skylab imagery as an information service for investigating land use and natural resources (Skylab). [central and northern New York and Long Island

E. E. Hardy

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A land use and land cover classification system for use with remote sensor data

USGS professional paper (1976)

James R. Anderson E. E. Hardy John T. Roach Richard E. Witmer

The framework of a national land use and land cover classification system is presented for use with remote sensor data. The classification system has been developed to meet the needs of Federal and State agencies for an up-to-date overview of land use and land cover throughout the country on a basis that is uniform in categorization at the more generalized first and second levels and that will be receptive to data from satellite and aircraft remote sensors. The proposed system uses the features of existing widely used classification systems that are amenable to data derived from remote sensing sources. It is intentionally left open-ended so that Federal, regional, State, and local agencies can have flexibility in developing more detailed land use classifications at the third and fourth levels in order to meet their particular needs and at the same time remain compatible with each other and the national system. Revision of the land use classification system as presented in U.S. Geological Survey Circular 671 was undertaken in order to incorporate the results of extensive testing and review of the categorization and definitions.

Land Cover

Land information system

10.3133/pp964

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Citations (4,669)

Enhancement and evaluation of Skylab photography for potential land use inventories, part 1

E. E. Hardy James E. Skaley Christopher Dawson G. D. Weiner E. S. Phillips

The author has identified the following significant results. Three sites were evaluated for land use inventory: Finger Lakes - Tompkins County, Lower Hudson Valley - Newburgh, and Suffolk County - Long Island. Special photo enhancement processes were developed to standardize the density range and contrast among S190A negatives. Enhanced black and white enlargements were converted to color by contact printing onto diazo film. A color prediction model related the density values on each spectral band for each category of land use to the spectral properties of the various diazo dyes. The S190A multispectral system proved to be almost as effective as the S190B high resolution camera for inventorying land use. Aggregate error for Level 1 averaged about 12% while Level 2 aggregate error averaged about 25%. The S190A system proved to be much superior to LANDSAT in inventorying land use, primarily because of increased resolution.

Aerial photography

Color photography

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