Structure from motion photogrammetry in physical geography (Smith, Carrivick, & Quincey, 2016)  

The paper present an overall review of structure from motion photogrammetry with multi-view stereo (SfM-MVS). With the comparison figure shown in the paper, we can say SfM is an economic, efficient, and accurate method for surveying small areas with high resolution. The authors emphasize its significance in physical geography, while I’m thinking that it may be applied in human geography for contextualization through some ways. Based on my knowledge, there is some human geographers using mapping or drawing methods in fields. And they analyze these maps or drawings for studying communities. SfM engagement in human geography can provide detailed contexts in a community, which may help human geographers learn insights to the case.


Besides, when reading this paper, I always have a question of whether we really need data with so high resolutions. Although SfM-MVS enable us to have many details about a small area, it may be not always necessary in our analysis. Therefore, I believe research on guiding the choice of SfM-MVS it also important for surveying communities. Moreover, I doubt about the operations of integrating high-resolution images captured by SfM-MVS, and when we analyze the data, high demanded geo-computing ability make us to separate the data for parallel computing.

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