Application of remote sensing for fishery resource assessment and monitoring

There are no author-identified significant results in this report

Application of remote sensing for fishery resource assessment and monitoring

There are no author-identified significant results in this report

Application of remote sensing for fishery resource assessment and monitoring

There are no author-identified significant results in this report

Application of remote sensing for fishery resource assessment and monitoring

There are no author-identified significant results in this report

LANDSAT follow-on experiment: Gulf of Mexico menhaden and thread herring resources investigation

The author has identified the following significant results. The most significant achievement realized is the successful mapping of high probability fishing areas from LANDSAT MSS data for two Mississippi Sound missions

LANDSAT menhaden and thread herring resources investigation

The author has identified the following significant results. The most significant achievement is the successful charting of high probability fishing areas from LANDSAT MSS data

Application of remote sensing for fishery resource assessment and monitoring. Skylab oceanic gamefish project

There are no author-identified significant results in this report

The feasibility of utilizing remotely sensed data to assess and monitor oceanic gamefish

There are no author-identified significant results in this report

Preliminary results of fisheries investigation associated with Skylab-3

The author has identified the following significant results. This investigation is to establish the feasibility of utilizing remotely sensed data acquired from aircraft and satellite platforms to provide information concerning the distribution and abundance of oceanic gamefish. Data from the test area in the northeastern Gulf of Mexico has made possible the identification of fisheries significant environmental parameters for white marlin. Predictive models based on catch data and surface truth information have been developed and have demonstrated potential for reducing search significantly by identifying areas which have a high probability of being productive. Three of the parameters utilized by the model, chlorophyll-a, sea surface temperature, and turbidity have been inferred from aircraft sensor data. Cloud cover and delayed receipt have inhibited the use of Skylab data. The first step toward establishing the feasibility of utilizing remotely sensed data to assess amd monitor the distribution of ocean gamefish has been taken with the successful identification of fisheries significant oceanographic parameters and the demonstration of the capability of measuring most of these parameters remotely

Application of remote sensing for fishery resource assessment and monitoring

There are no author-identified significant results in this report