Remote sensing image-based mountain land vegetation cover and professional English vocabulary translation

摘要

The vegetation coverage ratio (FCC) is a very important ecological and climatic parameter and a comprehensive quantitative indicator of the surface covered by vegetation communities. This paper introduces the basic theory, research status, and development trend of the remote sensing vegetation rate measurement method combined with the ground survey data and uses it to analyze the mountain vegetation rate estimation results of the remote sensing image in the southern cities and study the inversion of the vegetation coverage rate. Therefore, it can provide an effective method for the estimation of vegetation coverage in a large area and meet the requirements of ecological environment and climate change research. At the same time, people always think that translation is a conversion from one language to another. Therefore, in English translation, many translators tend to translate the original words one by one. As a result, the translation has an impact on the interpretation of the original content. In recent years, people have paid more and more attention to the role of context in translation, and research on context and translation is also slowly proceeding. Therefore, by referring to the research results of scholars, this article combines the context of language environment, emotional environment, and cultural environment, combined with many examples encountered in translation practice, to explain in detail the important role of context in the translation of English words. Based on the research of related theories and the current status of the English translation, this article explores new translation methods to improve the work efficiency of translators, while at the same time ensuring the quality of translation, reducing translation deviations, and making the translation results more accurate.