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Estimation of the spring wheat water and chlorophyll content inRainfed Agriculture Areas of Loess Plateau based on the spectralabsorption feature of the liquid water and chlorophyll

机译:基于液态水和叶绿素光谱化特征的黄土高原春麦水和叶绿素含量估计

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Because of the high water content of vegetation, water absorption feature dominate spectral reflectance of vegetation inthe near-infrared region of the spectrum, and chlorophyll dominate the visible region . Previous studies have primarilyrelated water band indices (WI) to vegetation water content .But the similar studies are vacancy in Rained AgricultureAreas of Loess. Two observation tests were carried out in arid and semi-arid area in Loess Plateau in order to find outthe best preferential sensitively spectral index to water content and chlorophyll for the spring wheat and to monitor cropsdrought in this area. The results indicated that at leaf level the NDVI and EVI are the highest sensitive indices to theFMC and Chlorophyll, and for the leaf EWT,SAVI is the best index((r=0.738,P<0.01)); at canopy level, the red edge(?red) and the water content have the best relationship, and the sensitivity for WII180 and NDWI are better . And the Xred isalso the best indictor for the chlorophyll at canopy level, the second is R670/R440, Furthmore, If considered thepotential for atmospheric interference when data are collected from aircraft or satellite plarforms, So Wli i8o ,W11450 andNDWI may be the feasible for satellite remote sensing of vegetation water content at the canopy level. Meanwhile theNDVI and EVI may be the best index for satellite remote sensing of vegetation water content at leaf level for the aridand semiarid Rainfed Agriculture Areas of Loess Plateau.
机译:由于植被的高含水量,吸水特征在光谱的近红外区域的植被覆盖的光谱反射,叶绿素主导了可见区域。以前的研究主要是植被含水量的主要水带指数(WI)。但类似的研究在黄土下下雨的农业中空缺。在黄土高原中的干旱和半干旱地区进行了两次观察试验,以找到春小麦的水含量和叶绿素的最佳优惠敏感光谱指数,并监测该区域的经络。结果表明,在叶级,NDVI和EVI是FMC和叶绿素的最高敏感索引,以及叶片EWT,SAVI是最佳指数((r = 0.738,p <0.01));在冠层水平上,红色边缘(?红色)和水含量具有最佳关系,并且Wii180和NDWI的灵敏度更好。和XRED ISALSO为叶绿素水平的叶绿素的最佳指示,第二个是R670 / R440,如果被认为是从飞机或卫星拖曳收集数据时的大气干扰,因此W11450 ANDNDWI可能是可行的卫星遥感植被水含量在冠层水平。同时,Thendvi和EVI可能是黄土高原雨水覆盖农业区的叶子水平卫星遥感卫星遥感的最佳指标。

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