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Analysis of NOAA-AVHRR-NDVI images for crops monitoring

机译：用于作物监测的NOAA-AVHRR-NDVI图像分析

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摘要

Agriculture is a dynamic activity that causes yearly and seasonal changes in cultivated landscapes. These changes depend on meteorological variations and on the exploitation of annual or perennial crops. Sensor technology including the Advanced Very High Resolution Radiometer (AVHRR) in NOAA satellites constitutes a useful tool to assess changes in cultivated landscapes, as well as to measure crop density and vigour throughout an agricultural cycle. This study analyses relationships among variables, such as precipitation, growth stage and vegetation index values, for crops during the 1996 and 1997 agricultural cycles. The study area was the physiographic province known as 'Mesa Central' located in the state of Guanajuato, Mexico, which, in general, has homogeneous features such as topography and soil type, and a marked precipitation season. Corn and bean are two of the most widely cultivated crops in this region. The methodology used included the following aspects: registering, geometrical correction, calculation of the Normalized Difference Vegetation Index (NDVI) and time-series composites. Additionally, fieldwork assessment was conducted at cultivated areas, where data for daily precipitation, sowing time, crop variety, and duration of vegetative, reproductive and maturity periods were gathered. The correlation analysis between NDVI and precipitation resulted in r = 0.9087 and 0.8935 for the analysed regions in 1996 and r = 0.8812 and 0.8600 in 1997. The vegetation growth and NDVI also showed a qualitative positive relationship. Therefore these satellite images represent a useful too! in the analysis of crop-related phenological phenomena.
机译：农业是一种动态活动，会导致耕地景观每年和每季发生变化。这些变化取决于气象变化以及一年生或多年生作物的开采。传感器技术包括NOAA卫星中的超高分辨率高分辨率辐射计（AVHRR），是评估耕地景观变化以及测量整个农业周期中作物密度和活力的有用工具。这项研究分析了1996年和1997年农业周期中作物的变量之间的关系，如降水，生长阶段和植被指数值。研究区域是位于墨西哥瓜纳华托州的被称为“ Mesa Central”的自然地理省份，该省通常具有诸如地形和土壤类型等均一特征，并且降水季节明显。玉米和豆类是该地区种植最广泛的两种作物。所使用的方法包括以下方面：配准，几何校正，归一化植被指数（NDVI）的计算以及时间序列复合物。另外，在耕地进行了田间评估，收集了每天的降水量，播种时间，作物品种以及无性，生殖和成熟期的持续时间数据。 NDVI与降水量的相关性分析结果表明，1996年被分析区域的r = 0.9087和0.8935，1997年r = 0.8812和0.8600。植被生长和NDVI也显示出质的正相关。因此，这些卫星图像也很有用！分析与作物有关的物候现象。

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