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Assessing the role of SWIR band in detecting agricultural crop stress: a case study of Raichur district, Karnataka, India

机译:评估SWIR波段在检测农作物压力中的作用:以印度卡纳塔克邦Raichur区为例

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摘要

The potential consequence of global climatic change caused the rise in temperature and precipitation decline, the aftermath of which has led to phenomenon like drought. As the agriculture is mainly dependent on the timely availability of water, delayed arrival of rainfall or decrease in the intensity of precipitation highly affects the growth of crops. If such situation persists for a longer period, the soil moisture content will be exploited completely and maturity of the crop will be stunted, finally adversely affecting the annual crop yield. In the present study, the capability of shortwave-infrared (SWIR) channels in detecting the agricultural crop stress in Raichur district of Karnataka state, India, using spectral vegetation indices namely Global Vegetation Moisture Index (GVMI) and Normalized Multi-band Drought Index (NMDI) has been analyzed using multi-temporal MODIS data. The vegetation health analysis by utilizing both indices were carried out from year 2002 to 2012 for the Kharif season, and it was seen that the year 2002 suffered major agricultural drought where the lower GVMI and NMDI values were covering the majority of the crop areas and in the year 2010 agricultural crop production was observed to be good. The average values of GVMI and NMDI for the years 2002 and 2010 were plotted with the average NDVI values of all months of both years and the results revealed that NDVI values were in concurrence with both NMDI and GVMI.
机译:全球气候变化的潜在后果导致温度上升和降水下降,其后果是导致干旱等现象。由于农业主要取决于及时的水供应,降雨的延迟到来或降雨强度的降低严重影响了作物的生长。如果这种情况持续较长时间,土壤水分将被充分利用,作物成熟期将受阻,最终对作物的年产量产生不利影响。在本研究中,短波红外(SWIR)通道利用光谱植被指数即全球植被水分指数(GVMI)和归一化多波段干旱指数()来检测印度卡纳塔克邦赖库尔地区农业作物胁迫的能力。 NMDI)已使用多时间MODIS数据进行了分析。利用这两个指数对植被进行了健康分析,时间从2002年至2012年为Kharif季节,可以看出2002年遭受了严重的农业干旱,其中较低的GVMI和NMDI值覆盖了大部分作物面积,据观察,2010年农业作物收成良好。将2002年和2010年的GVMI和NMDI平均值与这两年所有月份的平均NDVI值作图,结果表明NDVI值与NMDI和GVMI均一致。

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