Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains
Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains
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DOI：
10.1080/01431160010007033
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发表时间：
2001-01
影响因子：
3.4
通讯作者：
Jue Wang;K. Price;P. Rich
中科院分区：
文献类型：
--
作者：
Jue Wang;K. Price;P. Rich
归一化植被指数已被证明是陆地植被生产力的可靠指标。在气候因子中，降水和温度对植被指数的时空分布格局有着重要的影响。我们研究了在堪萨斯9年（1989-1997年）的降水和温度的NDVI的空间响应。每两周的气候图（降水量和温度）是通过气象站测量值的插值绘制的。利用美国国家海洋和大气管理局（NOAA）的高级甚高分辨率辐射计（AVHRR）NDVI图像，构建了堪萨斯的双周生长季（3月至10月）NDVI图。平均降水量是主要东西部NDVI梯度的强预测因子。偏离平均降水量解释了大部分的空间格局的年与年的变化。在60-95%的土地总面积上，植被指数和降水量呈同向协变（均为正或均为负）。最低温度和平均温度与NDVI呈正相关，但温度偏离平均值与NDVI偏离平均值一般不相关。我们的研究结果表明，降水量是一个强有力的预测区域空间格局的NDVI，并推断，模式的生产力。
The Normalized Difference Vegetation Index (NDVI ) has proven to be a robust indicator of terrestrial vegetation productivity. Among climatic factors, precipitation and temperature strongly influence both temporal and spatial patterns of NDVI. We examined spatial responses of NDVI to precipitation and temperature during a 9-year period (1989-1997) in Kansas. Biweekly climate maps (precipitation and temperature) were constructed by interpolation of weather station measurements. Maps of biweekly growing season (March to October) NDVI were constructed for Kansas using National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) NDVI images. Average precipitation is a strong predictor of the major east-west NDVI gradient. Deviation from average precipitation explained most of the year-to-year variation in spatial patterns. NDVI and precipitation covaried in the same direction (both positive or both negative) for 60-95% of the total land area. Minimum and average temperatures were positively correlated with NDVI, but temperature deviation from average was generally not correlated with NDVI deviation from average. Our results demonstrate that precipitation is a strong predictor of regional spatial patterns of NDVI and, by inference, patterns of productivity.