Engineering topics

Njoku, Eni G.

Publications and source records attributed to Njoku, Eni G..

26 records · Page 2

NASA NTRS1992

Inversion of parameters for semiarid regions by a neural network

Microwave brightness temperatures obtained from a passive radiative transfer model are inverted through use of a neural network. The model is applicable to semiarid regions and produces dual-polarized brightness temperatures for 6.6-, 10.7-, and 37-GHz frequencies. A range of temperatures is generated by varying three geophysical parameters over acceptable ranges: soil moisture, vegetation moisture, and soil temperature. A multilayered perceptron (MLP) neural network is trained with a subset of the generated temperatures, and the remaining temperatures are inverted using a backpropagation method. Several synthetic terrains are devised and inverted by the network under local constraints. All the inversions show good agreement with the original geophysical parameters, falling within 5 percent of the actual value of the parameter range.

Zurk, Lisa M.↗

NASA NTRS1991

Microwave Brightness Of Land Surfaces From Outer Space

Mathematical model approximates microwave radiation emitted by land surfaces traveling to microwave radiometer in outer space. Applied to measurements made by Scanning Multichannel Microwave Radiometer (SMMR). Developed for interpretation of microwave imagery of Earth to obtain distributions of various chemical, physical, and biological characteristics across its surface. Intended primarily for use in mapping moisture content of soil and fraction of Earth covered by vegetation. Advanced Very-High-Resolution Radiometer (AVHRR), provides additional information on vegetative cover, thereby making possible retrieval of soil-moisture values from SMMR measurements. Possible to monitor changes of land surface during intervals of 5 to 10 years, providing significant data for mathematical models of evolution of climate.

Kerr, Yann H.↗

NASA NTRS1991

On the use of passive microwaves at 37 GHz

Recently a number of studies have been presented on the use of the 37 GHz channels of the Scanning Multichannel Microwave Radiometer (SMMR) on board the Nimbus 7 satellite, and on the synergisms between the SNMMR and the AVHRR (Advanced Very High Resolution Radiometer). The approaches are interesting but raise a number of questions on the validity of the interpretation of the results. A study to analyze the Microwave Polarization Difference Temperature (MPDT) in terms of sensitivity to surface and atmospheric parameters is presented. For this a radiative transfer model is used so as to depict the shortcomings of this index. Another approach, using lower frequencies is described and compared to the 37 GHz MPDT.

Kerr, Yann H.↗

NASA NTRS1990

Mission to Planet Earth

To preserve the earth, it is necessary to understand the tremendously complex interactions of the atmosphere, oceans, land, and man's activities deeply enough to construct models that can predict the consequences of our actions and help us make sound environmental, energy, agriculture, and economic decisions. Mission to Planet Earth is NASA's suggested share and the centerpiece of the U.S. contribution to understanding the environment, the Global Change Research Program. The first major element of the mission would be the Earth Observing System, which would give the simultaneous, comprehensive, long-term earth coverage lacking previously. NASA's Geosynchronous Earth Observatory with two additional similar spacecraft would be orbited by the U.S., plus one each by Japan and the European Space Agency. These would be the first geostationary satellites to span all the disciplines of the earth sciences. A number of diverse data gathering payloads are also planned to be carried aboard the Polar Orbiting Platform. Making possible the long, continuous observations planned and coping with the torrent of data acquired will require technical gains across a wide front. Finally, how all this data is consolidated and disseminated by the EOS Data and Information System is discussed.

Tilford, Shelby G.↗

NASA NTRS1990

A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space

A radiative-transfer model for simulating microwave brightness temperatures over land surfaces is described. The model takes into account sensor viewing conditions (spacecraft altitude, viewing angle, frequency, and polarization) and atmospheric parameters over a soil surface characterized by its moisture, roughness, and temperature and covered with a layer of vegetation characterized by its temperature, water content, single scattering albedo, structure, and percent coverage. In order to reduce the influence of atmospheric and surface temperature effects, the brightness temperatures are expressed as polarization ratios that depend primarily on the soil moisture and roughness, canopy water content, and percentage of cover. The sensitivity of the polarization ratio to these parameters is investigated. Simulation of the temporal evolution of the microwave signal over semiarid areas in the African Sahel is presented and compared to actual satellite data from the SMMR instrument on Nimbus-7.

Kerr, Yann H.↗

NASA NTRS1990

Satellite remote sensing of sea surface temperature

An overview is conducted of the satellite methods available for investigating sea-surface temperature (SST). Attention is given to the accuracies expected from specific satellite instruments and retrieval methods. The techniques reviewed include IR radiometry, corrections for atmospheric attenuation and cloudiness, and the combination of AVHRR and High-resolution IR Sounder channels. The analytical derivations of surface emission (microwave and IR) and radiative transfer are demonstrated, and the theoretically derived SST retrieval algorithms are discussed for both microwave and IR sensors. The accuracies of satellite and in situ SST products are compared with attention given to the use of composite SST products. The AVHRR data are found to be self-consistent and provide the lowest rms errors and bias variations, and the occurrence of satellite anomalies are considered acceptable in the light of in situ data which does not adequately represent the SST field.

Njoku, Eni G.↗

NASA NTRS1986

Observations of the seasonal variability of soil moisture and vegetation cover over Africa using satellite microwave radiometry

Multispectral passive microwave data from the scanning multichannel microwave radiometer (SMMR) on the Nimbus-7 satellite were processed selectively for a 1 yr period over Africa. The data show a wide dynamic range of brightness temperature (180 to 290 K), corresponding to variations in surface features such as moisture, temperature, vegetation, roughness, and large-scale topography. It appears that soil moisture variability is detectable with the SMMR over large regions of Africa. To what extent roughness and vegetation affect this capability is not clear. The lowest SMMR frequency is C-band (6.6 GHz), thus any soil moisture sensitivity at this frequency would be much improved by a sensor at L-band (1 to 2 GHz) less affected by roughness and vegetation.

Njoku, Eni G.↗

NASA NTRS1985

Comparisons of satellite-derived and in situ global sea surface temperature measurements

Attention is given to a series of three workshops held between January 1983 and February 1984 to compare presently available techniques for measuring SST. Measurements from SST from four satellite sensors were evaluated by direct comparison with one another and with measurements from ships, expendible bathythermographs, and buoys. The satellite data showed good agreement in a global rms sense (about 0.5-1.0 C), but several anomalous regional biases were observed. The biases are ascribed in some cases to instrument calibration deficiencies. In other cases, inadequacies of the retrieval algorithms are suspected to be the case. Suggestions for improving sensors and retrieval methods are discussed.

Njoku, Eni G.↗