Diodato Nazzareno, Bellocchi Gianni
Monte Pino Met Research Observatory, TEMS Network-Terrestrial Ecosystem Monitoring Sites (FAO-United Nations), via Contrada Monte Pino, 82100 Benevento, Italy.
Environ Monit Assess. 2008 Aug;143(1-3):147-59. doi: 10.1007/s10661-007-9964-z. Epub 2007 Nov 6.
This work presents a modelling study where monthly-based climate data are used to estimate the Normalized Difference Vegetation Index (NDVI). The latter is a measure of vegetation greenness, usually derived from satellite-driven information. A model was developed to link NDVI data to rainfall and temperature measures. The test area was a 3 x 3 km grid centred to the top of Monte Pino hill (Southern Italy), for which multi-year (from 1996 to 2004) climate and satellite-derived NDVI data were available. The simulated NDVI data compared well with the remote-sensed measurements (e.g. modelling efficiency approximately 0.80), thus showing a strong linking between vegetation greenness and climate patterns in spite of the many disturbances exerted from farming. The model was used to reconstruct an extended series of monthly NDVI values for a period antecedent 1996 (1972-1995). The analysis of long-term anomalies indicated a positive trend of NDVI over time, consistent with the air temperature increase registered in the same period.
这项工作展示了一项建模研究，其中使用月度气候数据来估算归一化植被指数（NDVI）。NDVI是衡量植被绿度的指标，通常源自卫星提供的信息。开发了一个模型，将NDVI数据与降雨和温度测量值联系起来。测试区域是以皮诺山（意大利南部）山顶为中心的一个3×3千米的网格，该区域有多 年（1996年至2004年）的气候数据以及卫星衍生的NDVI数据。模拟的NDVI数据与遥感测量结果比较吻合（例如建模效率约为0.80），这表明尽管受到农业活动的诸多干扰，但植被绿度与气候模式之间仍存在紧密联系。该模型用于重建1996年之前（1972年至1995年）更长时间段的月度NDVI值序列。对长期异常情况的分析表明，NDVI随时间呈上升趋势，这与同期记录的气温上升情况一致。
