Finally, look at how to correlate remote sensing capabilities with quality versus degraded sites. This will establish the limitations of remote-sensing instruments and indicate the types of data that are needed. In particular, there is a need to develop low-cost data products that do not require major investments in staff and in processing capability. Concerning classification, one must be able to identify an area as intact or disturbed as well as what units of biodiversity are represented. The degree of potential threat must then be assessed.
Researchers can then assess what habitats are suitable for the use of remotely-sensed data.
Next, researchers must address patterns of biodiversity. In order to predict future behavior of a region, indicators are necessary. Rainfall and seasonality are prime examples. Threat analysis is another major issue. There must be a way in which data can be used to understand the dynamics of threat.