143 research outputs found
Within-field variability of plant and soil parameters
The variability of ground truth data collected for vegetation experiments was investigated. Two fields of wheat and one field of corn were sampled on two different dates. The variability of crop and soil parameters within a field, between two fields of the same type, and within a field over time were compared statistically. The number of samples from each test site required in order to be able to determine with confidence the mean and standard deviations for a given variable was determined. Eight samples were found to be adequate for plant height determinations, while twenty samples were required for plant moisture and soil moisture characterization. Eighteen samples were necessary for detecting within field variability over time and for between field variability for the same crop. The necessary sample sites vary according to the physiological growth stage of the crop and recent weather events that affect the moisture and/or height characteristics of the field in question
Data documentation for the 1981 summer vegetation experiment
The mobile agricultural radar sensor was used to collect data from 31 fields in the floodplain of the Kansas River east of Lawrence, Kansas during the summer of 1981. Corn, soybeans, and wheat crops were observed from May 1 to November 11. Radar backscattering measurements were acquired at 10.2 GHz for VV and VH polarizations at 50 deg incidence angles for all fields and at 30 deg, 40 deg, 50 deg, 60 deg, and 70 deg for nine of the 31 fields. Target parameters describing the vegatation and soil characteristics, such as plant moisture, plant height, soil moisture, etc., were also measured. The methodology, radar backscatter data and associated ground-truth data obtained during this experiment are documented
Evaluation of space SAR as a land-cover classification
The multidimensional approach to the mapping of land cover, crops, and forests is reported. Dimensionality is achieved by using data from sensors such as LANDSAT to augment Seasat and Shuttle Image Radar (SIR) data, using different image features such as tone and texture, and acquiring multidate data. Seasat, Shuttle Imaging Radar (SIR-A), and LANDSAT data are used both individually and in combination to map land cover in Oklahoma. The results indicates that radar is the best single sensor (72% accuracy) and produces the best sensor combination (97.5% accuracy) for discriminating among five land cover categories. Multidate Seasat data and a single data of LANDSAT coverage are then used in a crop classification study of western Kansas. The highest accuracy for a single channel is achieved using a Seasat scene, which produces a classification accuracy of 67%. Classification accuracy increases to approximately 75% when either a multidate Seasat combination or LANDSAT data in a multisensor combination is used. The tonal and textural elements of SIR-A data are then used both alone and in combination to classify forests into five categories
In Situ Measurements of Micro-Scale Surface Roughness of Sea Ice
Surface roughness at the centimetre and millimetre scale is an important factor governing radar backscatter, especially in the case of warm (>-5 degrees C) or highly saline sea ice types. Quantitative measurements of surface roughness are required as input to backscatter models. Several field techniques have been used to quantitatively measure the surface roughness of sea ice. These techniques usually posses at least one of the following obstacles: difficult field operation, expense, poor accuracies or arduous data processing. A prototype portable field instrument called the Surface Roughness Meter has been designed to measure micro-scale surface roughness. The instrument provides measurements of two surface roughness parameters, root mean square height and correlation length. The instrument consists of a 35 mm camera and a flash mounted on a platform. The system illuminates and photographs a rectangle of known size on the surface from a fixed height. The negatives are digitized and the root mean square height and correlation length are calculated and recorded using a PC-based image analysis system in the laboratory. The first sea ice application for the instrument was the Labrador Ice Margin Experiment (LIMEX) 1989. The instrument was used to measure surface roughness of first-year deformed pack ice. The resulting data from LIMEX '89 were digitized and surface roughness statistics were computed using a PC image analysis system. LIMEX '89 Surface Roughness Meter data compared favourably to roughness statistics obtained from LIMEX '87.Key words: surface roughness, radar backscatter, sea ice, Surface Roughness Meter, root mean square height, correlation length, LIMEX ’89Mots clés: rugosité de la surface, rétrodiffusion radar, glace de mer, profilographe, hauteur quadratique moyenne, longueur de corrélation, LIMEX ’8
Soil conservation applications with C-band SAR
Soil conservation programs are becoming more important as the growing human population exerts greater pressure on this non-renewable resource. Indeed, soil degradation affects approximately 10 percent of Canada's agricultural land with an estimated loss of 6,000 hectares of topsoil annually from Ontario farmland alone. Soil loss not only affects agricultural productivity but also decreases water quality and can lead to siltation problems. Thus, there is a growing demand for soil conservation programs and a need to develop an effective monitoring system. Topography and soil type information can easily be handled within a geographic information system (GIS). Information about vegetative cover type and surface roughness, which both experience considerable temporal change, can be obtained from remote sensing techniques. For further development of the technology to produce an operational soil conservation monitoring system, an experiment was conducted in Oxford County, Ontario which investigated the separability of fall surface cover type using C-band Synthetic Aperture Radar (SAR) data
satellite technologies to support the sustainability of agricultural production
Precision farming is a form of multidisciplinary and technologically advanced agriculture, which recourses to machines equipped with "intelligent systems," able to dose the productive factors (fertilizers, pesticides, etc.) according to the real needs of the homogeneous areas constituent to the plot (Verhagen and Bouma, Modeling soil variability. In: Pierce FJ, Sadler EJ (eds) The state of site specific management for agriculture. ASA Publications, 1997)
Changes in pulmonary artery pressure before and after left ventricular assist device implantation in patients utilizing remote haemodynamic monitoring
Multi-decadal floodplain classification and trend analysis in the Upper Columbia River valley, British Columbia
Floodplain wetland ecosystems experience significant seasonal water fluctuation over the year, resulting in a dynamic hydroperiod, with a range of vegetation community responses. This paper assesses trends and changes in land cover and hydroclimatological variables, including air temperature, river discharge, and water level in the Upper Columbia River Wetlands (UCRW), British Columbia, Canada. A land cover classification time series from 1984 to 2022 was generated from the Landsat image archive using a random forest algorithm. Peak river flow timing, duration, and anomalies were examined to evaluate temporal coincidence with observed land cover trends. The land cover classifier used to segment changes in wetland area and open water performed well (kappa of 0.82). Over the last 4 decades, observed river discharge and air temperature have increased, precipitation has decreased, the timing of peak flow is earlier, and the flow duration has been reduced. The frequency of both high-discharge events and dry years have increased, indicating a shift towards more extreme floodplain flow behavior. These hydrometeorological changes are associated with a shift in the timing of snowmelt, from April to mid-May, and with seasonal changes in the vegetative communities over the 39-year period. Thus, woody shrubs (+6 % to +12 %) have expanded as they gradually replaced marsh and wet-meadow land covers with a reduction in open-water area. This suggests that increasing temperatures have already impacted the regional hydrology, wetland hydroperiod, and floodplain land cover in the Upper Columbia River valley. Overall, there is substantial variation in seasonal and annual land cover, reflecting the dynamic nature of floodplain wetlands, but the results show that the wetlands are drying out with increasing areas of woody/shrub habitat and loss of aquatic habitat. The results suggest that floodplain wetlands, particularly marsh and open-water habitats, are vulnerable to climatic and hydrological changes that could further reduce their areal extent in the future.</p
Persistence of TEL-AML1 fusion gene as minimal residual disease has no additive prognostic value in CD 10 positive B-acute lymphoblastic leukemia: a FISH study
<p>Abstract</p> <p>Objectives </p> <p>We have analyzed t(12;21)(p13:q22) in an attempt to evaluate the frequency and prognostic significance of <it>TEL-AML1 </it>fusion gene in patients with childhood CD 10 positive B-ALL by fluorescence in situ hybridization (FISH). Also, we have monitored the prognostic value of this gene as a minimal residual disease (MRD).</p> <p>Methods</p> <p>All bone marrow samples of eighty patients diagnosed as CD 10 positive B-ALL in South Egypt Cancer Institute were evaluated by fluorescence in situ hybridization (FISH) for t(12;21) in newly diagnosed cases and after morphological complete remission as a minimal residual disease (MRD). We determined the prognostic significance of <it>TEL-AML1 </it>fusion represented by disease course and survival.</p> <p>Results</p> <p><it>TEL-AML1 </it>fusion gene was positive in (37.5%) in newly diagnosed patients. There was a significant correlation between <it>TEL-AML1 </it>fusion gene both at diagnosis (r = 0.5, P = 0.003) and as a MRD (r = 0.4, P = 0.01) with favorable course. Kaplan-Meier curve for the presence of <it>TEL-AML1 </it>fusion at the diagnosis was associated with a better probability of overall survival (OS); mean survival time was 47 ± 1 month, in contrast to 28 ± 5 month in its absence (P = 0.006). Also, the persistence at <it>TEL-AML1 </it>fusion as a MRD was not significantly associated with a better probability of OS; the mean survival time was 42 ± 2 months in the presence of MRD and it was 40 ± 1 months in its absence. So, persistence of <it>TEL-AML1 </it>fusion as a MRD had no additive prognostic value over its measurement at diagnosis in terms of predicting the probability of OS.</p> <p>Conclusion</p> <p>For most patients, the presence of <it>TEL-AML1 </it>fusion gene at diagnosis suggests a favorable prognosis. The present study suggests that persistence of <it>TEL-AML1 </it>fusion as MRD has no additive prognostic value.</p
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