Fuzzy Classification of Vegetation for Ecosystem Mapping

摘要: Vegetation classification and mapping are important tools for addressing natural resource management, ecosystem restoration, other contemporary ecological issues. Though classical set theory is most often applied problems, landscapes expressed as fuzzy sets. Where contrast among map categories or geometric objects weak in contexts approaches offer the advantage of identifying utilizing degree membership multiple possibilities, enabling opportunities alternative outputs careful analysis error structure. In this chapter, systems explored purposes describing features, interpretation those analyzing uncertainty spatial information. Some applications that lend themselves to logic discussed along with examples effective use techniques analysis, explanations advantages over crisp methods. Finally, a look future, I discuss advanced classifier methods, some Web-based solutions, potential applying interactively generate user-defined products, neutral priori classification, according precise needs managers researchers.