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  • 1
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    LANDSAT MSS crop classification performance as a function of scene characteristics (1985)
    Taylor & Francis
    Details
    Publication Date: 1985-09-01
    Print ISSN: 0143-1161
    Electronic ISSN: 1366-5901
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Taylor & Francis
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    PAPER CURRENT
  • 2
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    Effects of Management Practices on Reflectance of Spring Wheat Canopies 1 (1980)
    Wiley
    Details
    Publication Date: 1980-11-01
    Print ISSN: 0002-1962
    Electronic ISSN: 1435-0645
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by Wiley
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    PAPER CURRENT
  • 3
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    Effects of management practices on reflectance of spring wheat canopies (1980)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: The effects of available soil moisture, planting date, nitrogen fertilization, and cultivar on reflectance of spring wheat (Triticum aestivum L.) canopies were investigated. Spectral measurements were acquired on eight dates throughout the growing season, along with measurements of crop maturity stage, leaf area index, biomass, plant height, percent soil cover, and soil moisture. Planting date and available soil moisture were the primary agronomic factors which affected reflectance of spring wheat canopies from tillering to maturity. Comparisons of treatments indicated that during the seedling and tillering stages planting date was associated with 36 percent and 85 percent of variation in red and near infrared reflectances, respectively. As the wheat headed and matured, less of the variation in reflectance was associated with planting date and more with available soil moisture. By mid July, soil moisture accounted for 73 percent and 69 percent of the variation in reflectance in red and near infrared bands, respectively. Differences in spectral reflectance among treatments were attributed to changes in leaf area index, biomass, and percent soil cover. Cultivar and N fertilization rate were associated with very little of the variation in the reflectance of these canopies.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E81-10019 , NASA-CR-161003 , SR-PO-00458 , LARS-TR-051580
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 4
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    Sampling for area estimation: A comparison of full-frame sampling with the sample segment approach (1979)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: The effect of sampling on the accuracy (precision and bias) of crop area estimates made from classifications of LANDSAT MSS data was investigated. Full-frame classifications of wheat and non-wheat for eighty counties in Kansas were repetitively sampled to simulate alternative sampling plants. Four sampling schemes involving different numbers of samples and different size sampling units were evaluated. The precision of the wheat area estimates increased as the segment size decreased and the number of segments was increased. Although the average bias associated with the various sampling schemes was not significantly different, the maximum absolute bias was directly related to sampling unit size.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E83-10256 , NASA-CR-171627 , SR-P1-04160 , NAS 1.26:171627 , LARS-062779
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 5
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    Sampling Landsat classifications for crop area estimation (1981)
    In:  Other Sources
    Details
    Publication Date: 2019-06-28
    Description: An investigation was conducted to evaluate the effect of several sampling alternatives on the accuracy of crop area estimates made from classification of Landsat Multispectral Scanner (MSS) data. The specific objective was to assess the precision and the bias associated with alternative sampling schemes involving different numbers of several sampling unit sizes. The estimates achieved using the 5 by 6 nm segments were found to have the least precision of any sampling scheme tested. The estimates become more precise as the segment size decreases and more segments are taken. The precision of the 5 by 6 nm segments was significantly less than that of the pixel samples. None of the sampling schemes was significantly biased on the average, and none of the average estimates differed significantly from the population parameter. The maximum absolute deviation, however, was directly related to sampling unit size and should be considered in selection of a sampling unit.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Photogrammetric Engineering and Remote Sensing; 47; Sept
    Format: text
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    NASA TECHNICAL REPORTS
  • 6
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    Determination of the optimal level for combining area and yield estimates (1981)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: Several levels of obtaining both area and yield estimates of corn and soybeans in Iowa were considered: county, refined strata, refined/split strata, crop reporting district, and state. Using the CCEA model form and smoothed weather data, regression coefficients at each level were derived to compute yield and its variance. Variances were also computed with stratum level. The variance of the yield estimates was largest at the state and smallest at the county level for both crops. The refined strata had somewhat larger variances than those associated with the refined/split strata and CRD. For production estimates, the difference in standard deviations among levels was not large for corn, but for soybeans the standard deviation at the state level was more than 50% greater than for the other levels. The refined strata had the smallest standard deviations. The county level was not considered in evaluation of production estimates due to lack of county area variances.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10146 , NASA-CR-168531 , NAS 1.26:168531 , FC-P1-04197 , LARS-101281
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 7
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    Evaluation of a segment-based LANDSAT full-frame approach to corp area estimation (1981)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: As the registration of LANDSAT full frames enters the realm of current technology, sampling methods should be examined which utilize other than the segment data used for LACIE. The effect of separating the functions of sampling for training and sampling for area estimation. The frame selected for analysis was acquired over north central Iowa on August 9, 1978. A stratification of he full-frame was defined. Training data came from segments within the frame. Two classification and estimation procedures were compared: statistics developed on one segment were used to classify that segment, and pooled statistics from the segments were used to classify a systematic sample of pixels. Comparisons to USDA/ESCS estimates illustrate that the full-frame sampling approach can provide accurate and precise area estimates.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10067 , NASA-CR-167400 , NAS 1.26:167400 , FC-P1-04121 , LARS-062381
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 8
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    Corn and soybean Landsat MSS classification performance as a function of scene characteristics (1982)
    In:  Other Sources
    Details
    Publication Date: 2019-06-28
    Description: In order to fully utilize remote sensing to inventory crop production, it is important to identify the factors that affect the accuracy of Landsat classifications. The objective of this study was to investigate the effect of scene characteristics involving crop, soil, and weather variables on the accuracy of Landsat classifications of corn and soybeans. Segments sampling the U.S. Corn Belt were classified using a Gaussian maximum likelihood classifier on multitemporally registered data from two key acquisition periods. Field size had a strong effect on classification accuracy with small fields tending to have low accuracies even when the effect of mixed pixels was eliminated. Other scene characteristics accounting for variability in classification accuracy included proportions of corn and soybeans, crop diversity index, proportion of all field crops, soil drainage, slope, soil order, long-term average soybean yield, maximum yield, relative position of the segment in the Corn Belt, weather, and crop development stage.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Format: text
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  • 9
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    An assessment of Landsat data acquisition history on identification and area estimation of corn and soybeans (1980)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: During the past decade, numerous studies have demonstrated the potential of satellite remote sensing for providing accurate and timely crop area information. This study assessed the impact of Landsat data acquisition history on classification and area estimation accuracy of corn and soybeans. Multitemporally registered Landsat MSS data from four acquisitions during the 1978 growing season were used in classification of eight sample segments in the U.S. Corn Belt. The results illustrate the importance of selecting Landsat acquisitions based on spectral differences in crops at certain growth stages.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Annual Symposium on Machine processing of remotely sensed data and soil information systems and remote sensing and soil survey; Jun 03, 1980 - Jun 06, 1980; West Lafayette, IN
    Format: text
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    NASA TECHNICAL REPORTS
  • 10
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    Crop identification and area estimation by computer-aided analysis of Landsat data (1977)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: This report describes the results of a study involving the use of computer-aided analysis techniques applied to Landsat MSS data for identification and area estimation of winter wheat in Kansas and corn and soybeans in Indiana. Key elements of the approach included use of aerial photography for classifier training, stratification of Landsat data and extension of training statistics to areas without training data, and classification of a systematic sample of pixels from each county. Major results and conclusions are: (1) Landsat data was adequate for accurate identification and area estimation of winter wheat in Kansas, but corn and soybean estimates for Indiana were less accurate; (2) computer-aided analysis techniques can be effectively used to extract crop identification information from Landsat MSS data, and (3) systematic sampling of entire counties made possible by computer classification methods resulted in very precise area estimates at county as well as district and state levels.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Annual Symposium on Machine Processing of Remotely Sensed Data; Jun 21, 1977 - Jun 23, 1977; West Lafayette, IN
    Format: text
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    NASA TECHNICAL REPORTS
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