Application of optical and infrared remote sensing to the retrieval of selected land and sea features

This thesis discusses two main areas of remote sensing research and thus is divided into two parts. The first part deals with novel methods for sea surface temperature (SST) retrieval using measurements of the Advanced Very High Resolution Radiometer (AVHRR) on-board the National Oceanic and Atmospheric Administration's (NOAA) series of satellites. The basis for this work is the Dynamic Water Vapour method developed by Steyn-Ross et al. [1993], Smith [1993]. Two new methods are proposed in this thesis: The Dynamic Water Vapour or Atmospheric Temperature (DWVT) and the Simultaneous Water Vapour and Atmospheric Temperature (SimWVT). The second part of the thesis is a feasibility study on the potential applicability of airborne multispectral remote sensing technology to pasture biomass prediction in New Zealand. This was a pilot project, done in collaboration with AgResearch Ltd. and Dexcel Ltd. Charles Sturt University’s four-band airborne multispectral imaging system was used to acquire images of 65 test pasture plots. Biomass of the test plots is predicted using a selection of vegetation indices, and multispectral reflectances. The results confirm the widely-held view that vegetation indices are not applicable to New Zealand pastures. Noticeably better results are achieved using the multispectral test plot reflectance in linear multiple regression-type equations

Task 28: Web Accessible APIs in the Cloud Trade Study

This study explored three candidate architectures for serving NASA Earth Science Hierarchical Data Format Version 5 (HDF5) data via Hyrax running on Amazon Web Services (AWS). We studied the cost and performance for each architecture using several representative Use-Cases. The objectives of the project are: Conduct a trade study to identify one or more high performance integrated solutions for storing and retrieving NASA HDF5 and Network Common Data Format Version 4 (netCDF4) data in a cloud (web object store) environment. The target environment is Amazon Web Services (AWS) Simple Storage Service (S3).Conduct needed level of software development to properly evaluate solutions in the trade study and to obtain required benchmarking metrics for input into government decision of potential follow-on prototyping. Develop a cloud cost model for the preferred data storage solution (or solutions) that accounts for different granulation and aggregation schemes as well as cost and performance trades

NASA Dataset Interoperability Recommendations for Earth Science

NASA ESDS (Earth Science Data and Information System) Dataset Interoperability Working Group has been developing recommendations since 2012 aimed at improving interoperability of EOS (Earth Observing System) datasets. The first set of recommendations were published in 2016 as ESDS RFC-028. The latest set of recommendations is currently undergoing review and will be available as ESDS RFC-036 soon.This talk will inform the ESIP (Earth Science Information Partners) community about the recommendations because their application is relevant to other data producers as well

High-Level Design of a Data Carousel for the Basic Fusion Files

Sometimes data is large enough that the resources needed to merely hold the data can severely strain budgets. When resource constraints are severe, and the alternative is not having access to the data at all, an alternative is to 1) use a cheaper storage solution and 2) mitigate any problems that arise from the use of this type of storage. 3) deal with the restrictions that are present in the solution. We present a white paper based on limited prototyping, reflecting our current thinking on the high-level design and operational model using the Data Carousel Access pattern, applied in the context of Amazon Web services, for the 2.4 PB Basic Fusion Dataset.Ope

Trade Study: Storing NASA HDF5/netCDF-4 Data in the Amazon Cloud and Retrieving Data Via Hyrax Server Data Server

This study explored three candidate architectures with different types of objects and access paths for serving NASA Earth Science HDF5 data via Hyrax running on Amazon Web Services (AWS). We studied the cost and performance for each architecture using several representative Use-Cases. The objectives of the study were: Conduct a trade study to identify one or more high performance integrated solutions for storing and retrieving NASA HDF5 and netCDF4 data in a cloud (web object store) environment. The target environment is Amazon Web Services (AWS) Simple Storage Service (S3). Conduct needed level of software development to properly evaluate solutions in the trade study and to obtain required benchmarking metrics for input into government decision of potential follow-on prototyping. Develop a cloud cost model for the preferred data storage solution (or solutions) that accounts for different granulation and aggregation schemes as well as cost and performance trades.We will describe the three architectures and the use cases along with performance results and recommendations for further work