Page 109 - Digital Analysis of Remotely Sensed Imagery
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80    Cha pte r  T w o

                      is an especially important factor to consider if the remote
                      sensing data are used to produce elevational information
                      such as DEMs. However, it is a less important consideration
                      in thematic mapping.
                    •  Third, what does the study area look like geometrically?
                      When deciding which type of remote sensing data is the most
                      appropriate, the geometric properties of the study area need
                      to be considered. They include its size, shape, orientation,
                      and type of terrain (e.g., the proportion of land, if land is the
                      object of study). These factors govern how many scenes of
                      imagery have to be purchased. More images may be needed
                      if the area is not oriented in parallel to the orbital path or has
                      a highly irregular boundary. In the worst case a small portion
                      of the area can spread into several neighboring scenes. In this
                      case, a few half- or even quarter-scene images may be
                      purchased, instead of a full-scene image.
                    •  The last factors to consider are related to quality, reliability,
                      and currency of the data source. For instance, what is the
                      revisit period and acquisition dependability of the data? This
                      quality is important in carrying out longitudinal studies of
                      ephemeral phenomena such as flooding and fires. The
                      Earth’s surface is in a state of constant change. Some ground
                      covers (e.g., forest) change faster than others (e.g., urban).
                      When purchasing the data, the user needs to know the
                      acceptable time frame of the data. If the features or
                      phenomenon under study do not change quickly over time,
                      then data recorded years back are still useable. If the temporal
                      resolution is too coarse, then these data cannot fulfill such
                      applications as fire monitoring. Recent data have to be
                      acquired at a higher cost.

               2.8.2 Seasonal Factors
               When considering what data are the optimal, the user must be
               aware of the seasonal factor, even if the subject of study is not
               directly related to phenology. Imaging should take place at a time
               when the phenomenon under study is maximized, and thus most
               easily distinguished from other features or phenomena. It is not a
               good idea to obtain wintry images when the ground is likely to be
               buried underneath snow. Another reason for considering seasonality
               is because different seasons have different shadow lengths and
               different chances of cloud cover. In general, summer images have
               the shortest topographic shadow, whereas winter ones have the
               longest shadow. Topographic shadow is generally not considered
               desirable as it may obscure critical information on the phenomenon
               under study. This is especially true in the mountainous setting.
               Shadow also degrades the accuracy of mapping if the data are
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