Developing Training Programs in Remote Sensing and Geospatial Applications

We show that training activities conducted through the National Aeronautics and Space Administration (NASA)'s Applied Remote-Sensing Training (ARSET) program led to a significant increase in remote-sensing data use for decision-making. Our findings are based on survey data collected from 1041 ARSET participants from 117 countries who attended ARSET trainings between 2013 and 2016. To assess the impact of the ARSET program, we analyzed changes in three metrics. Results show that 83% of all respondents increased their knowledge of remote-sensing data products at least moderately, 79% increased their ability to access data, and 73% increased their ability to make decisions. We also examined how respondents are using remote-sensing data across 40 specific work tasks ranging from research to decision support applications. More than 50% of respondents reported an increase in data use for all except two of the tasks. ARSET will use these findings, together with participant data on future training needs, to set future directions for the program.

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Multi-Level Education and Capacity Building Framework for Technology Adaptation

Vyas

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Advancements in the Geospatial Technology has brought about benefits to various fields in science and technology. The education and the capacity building of geospatial technology plays a very important role within these fields. The current practice of the education is basically dominated by the teacher, huge syllabus, non-relevant knowledge and having very little opportunity for the discussions between the students and teachers. Instead of the unidirectional, monolithic, rigid and traditional teaching in practice, it requires a change to dynamic, evolving, in-process and gradual system of learning to shape the knowledge society. This generates creative, innovative human beings to train them to perform based on the scientific reasoning and empirical evidence in their respective fields. In order to develop, there are three important components: content, practice and cross-cutting to be established as a strategy in the data savvy environment. The ‘content’ may shift to more emphasis on higher order skills of constructing explanations, the ‘practice’ would enhance critical thinking as well as synthesis and ‘cross-cutting’ would synergize the performance expectations. Hence, the modified education and capacity building programmes advocate to move to a competency based model and the imperatives motivate the better use of the technology. This paper explains multiple levels that exists across academic, research and practitioner community that have potential to benefit from geospatial technology and it determines appropriate curriculum, pedagogy and evaluation strategies. It also maps an appropriate framework and approaches for multi-level education and capacity building considering the recent developments in geospatial technology.

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Developing Training Programs in Remote Sensing and Geospatial Applications

Cited by 3 publications

References 2 publications

Evaluation of GIScience Exercise Using Online Educational Materials for Japanese University Students

Evaluation of GIScience Exercise Using Online Educational Materials for Japanese University Students

Impact of the ARSET Program on Use of Remote-Sensing Data

Multi-Level Education and Capacity Building Framework for Technology Adaptation

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