Remotely sensed and derived data are an invaluable asset for ecological modeling. These data provide broad area and repetitive coverage that is impractical to gather using field methods. This is a very dynamic field and as sensors and processing tools improve, these data will continue to become more precise and accurate.

This article provides a brief overview of remote sensing and the types of data that can be derived to support ecological modeling. The intended audience for this article is the consumer, not producer of remote sensing products and it is not a comprehensive treatise on remote sensing. More in-depth information about remote sensing and its application to ecological modeling can be found in the section titled 'Further reading' for this article.

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