Procedure B: A multisegment training selection and proportion estimation procedure for processing LANDSAT agricultural data

There are no author-identified significant results in this report

Atmospheric effects on infrared multispectral sensing of sea-surface temperature from space

Atmospheric effects on infrared multispectral sensing of sea-surface temperature from spac

Estimating acreage by double sampling using LANDSAT data

Double sampling techniques employing LANDSAT data for estimating the acreage of corn and soybeans was investigated and evaluated. The evaluation was based on estimated costs and correlations between two existing procedures having differing cost/variance characteristics, and included consideration of their individual merits when coupled with a fictional 'perfect' procedure of zero bias and variance. Two features of the analysis are: (1) the simultaneous estimation of two or more crops; and (2) the imposition of linear cost constraints among two or more types of resource. A reasonably realistic operational scenario was postulated. The costs were estimated from current experience with the measurement procedures involved, and the correlations were estimated from a set of 39 LACIE-type sample segments located in the U.S. Corn Belt. For a fixed variance of the estimate, double sampling with the two existing LANDSAT measurement procedures can result in a 25% or 50% cost reduction. Double sampling which included the fictional perfect procedure results in a more cost effective combination when it is used with the lower cost/higher variance representative of the existing procedures

Analysis of scanner data for crop inventories

There are no author-identified significant results in this report

System for analysis of LANDSAT agricultural data: Automatic computer-assisted proportion estimation of local areas

The author has identified the following significant results. A conceptual man machine system framework was created for a large scale agricultural remote sensing system. The system is based on and can grow out of the local recognition mode of LACIE, through a gradual transition wherein computer support functions supplement and replace AI functions. Local proportion estimation functions are broken into two broad classes: (1) organization of the data within the sample segment; and (2) identification of the fields or groups of fields in the sample segment

La ruptura de la percepción visual en el arte pictórico: R. Magritte.

La principal función de este artículo es analizar y comprender la obra plástica de Magrite dentro del contexto de la pintura surrealista. Para cumplir este objetivo, el autor relata la biografia del artista además de analizar algunas de sus obras más significativas, justificando ciertos hechos de su vida como las causas de su talante trasgresor lo que le llevaron a convertirle en lo que el autor define como un «surrealista sin dogma».The main function of this article is to analyze and to understand the plastic work of Magrite inside the context of the surrealist painting. To complete this objective, the author relates the artist's biography besides analyzing some of his more significaní works,justifying certain facts of bis file Iike the causes of bis rebellious mood that took him to transform him into what the autor defines as a surrealist without dogma

Investigations of vegetation and soils information contained in LANDSAT Thematic Mapper and Multispectral Scanner data

An extension of the TM tasseled cap transformation to reflectance factor data is presented, and the basic concepts underlying the tasseled cap transformations are described. The ratio of TM bands 5 and 7, and TM tasseled cap wetness, are both shown to offer promise of direct detection of available soil moisture. Some effects of organic matter and other soil characteristics or constituents on TM tasseled cap spectral response are also considered

The analysis of scanner data for crop inventories

There are no author-identified significant results in this report

Analysis of scanner data for crop inventories

There are no author-identified significant results in this report