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Record W2169597796 · doi:10.1109/igarss.1991.575490

Results From Four Years Of Field Research With A C-band (6-cm) Field Microwave Scatterometer In Cultural- And Natural-vegetation Sites

2005· article· en· W2169597796 on OpenAlexaboutno aff
J. F. Paris, Robert A. Woodruff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSynthetic Aperture Radar (SAR) Applications and Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsScatterometerVegetation (pathology)Field (mathematics)MicrowaveNatural (archaeology)Remote sensingEnvironmental scienceGeographyMeteorologyComputer scienceTelecommunicationsArchaeologyMathematicsMedicine

Abstract

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From 1984-88, we explored the potential uses of C-band active-microwave sensors by conducting field experiments with a boom-truck mounted C-band (4.75 GHz, 5.3 cm) scatterometer called the Microwave Scatterometer, C-band (MS-C). The experiments, all carried out in test sites in California, covered the following types of land cover ( and conditions): arid-land vegetation (different conditions from place to place and caused by fire or pruning), plum trees (different conditions caused by saline-water treatments and growth during a season), pygmy forests (differences in stand densities from place to place), rice (different conditions of emergent biomass from place to place), and walnuts (different conditions caused by different imgation rates and by growth during a season). The MS-C allows one to measure not only the total backscattering coefficient, denoted by (m2 m-z), of an object of investigation for each polarization combination, but also the distribution of the sources of backscattering with slant range (or height above the surface) in a thick vegetation canopy, denoted by the volumetric backscattering cross section, oV (m2 In some experiments, we cooperated with other investigative teams [e.g., the Earth Observing System (Eos) Synergism Team] to expand the measurements to other microwave frequencies. The purpose of this paper is to report the results of all of these measurement efforts as a whole. The overall purpose of this series of C-band scatterometer experiments was to increase the understanding of the potential uses of related synthetic aperture radar (SAR) imagers such as the first European Remote Sensing Satellite (ERS-I) SAR which will soon be in operation. Many future SAR imagers plan to use C-band (RADARSAT by Canada and the Eos SAR by the U.S.A.). Overall, we found that a consistent set of guidelines for the interpretation of the data set as a whole emerged. First, in many cases, we observed important effects of the angular orientation of stems (e.g., in trees) relative to the plane of polarization. Nearly vertical stems produced relative high magnitudes for the vertical-transmit, vertical-receive (VV) combination. Conversely. horizontal stems produced relatively high HH (horizontalhorizontal) magnitudes. We believe that the stem-angle effect arises from the orientation of those few stems in a canopy which are a right angles to the radar path. Representing the overall structure of the canopy, these effective broad-side'' scatrerers dominate the overall microwave power returned to the sensor. Second, to reduce the effects of stem orientation, we suggest using the average of the backscattering coefficients, 00~~ and @HH, for VV and HH [called the like-polarization (LK) magnitudes]. Third, as an index of stem-angle related canopy structure, we suggest using the normalized difference between 00 and 00~~. Fourth, to differentiate between a rough, surface scatterer and a volume scatterer (both capable of producing moderate levels of like polarization magnitudes), we recommend the use of the ratio of 00~~ and cf'LK,.where the subscript,

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.283
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2005
Admission routes1
Has abstractyes

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