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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Estimating fAPAR from nine vegetation indices for irrigated and nonirrigated faba bean and semileafless pea canopies
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Estimating fAPAR from nine vegetation indices for irrigated and nonirrigated faba bean and semileafless pea canopies

机译:从灌溉和非灌溉蚕豆和半叶豌豆冠层的九种植被指数估算fAPAR

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Canopy reflectance measurements of semileafless pea and faba bean crops grown under irrigated and rain-fed conditions were taken with a field spectroradiometer. These legume crops have different canopy architectures. These legume crops have different canopy architectures. During crop growth nine vegetation indices (VIs) were calculated from reflectance measurements taken in TM2, TM3, TM4, and TM5 bands. Five VIs were ratio indices, (RVI, NDVI, SAVI2, TSAVI, and RDVI), two were orthogonal indices (PVI and GVI3), and the other two (STVI and CRVI) included the mid-infrared band. The fraction of absorbed photosynthetically active radiation (fAPAR) from a ceptometer and reflectance were measured simultaneously. Linear, exponential, and power relationships between VI and fAPAR were constructed to evaluate the capability of each VI to estimate fAPAR in these crops. The influence of solar angle on VI determination was also studied, using reflectance measurements at several hours during the day at two different crop growth stages. Results show that, in both species, different relationships are needed for pre-and postmaximum leaf area index (LAImax) phases of development. In preLAImax of both species, all VI correlated highly with fAPAR, but the coefficients of determination (R-2) for ratio indices were generally higher than orthogonal indices (PVI and GVI3) and indices with the TM5 band (STVI and CRVI). Among ratio indices, in pre-LAImax, R-2 did not differ significantly between those that included the soil effect (SAVI2 and TSAVI) and those that did not (RVI, NDVI, and RDVI). Relationships with indices that include the TM5 band (STVI and CRVI) showed a great slope, increasing the sensitivity of the estimates of fAPAR to errors and frequency of the reflectance measurements. During pre-LAImax phase, curvilinear relationships are better for pea canopies, while linear ones were found more appropriate for faba beans. In post-LAImax, linear relations were in general better, especially in peas. Relationships did not differ between irrigated and rainfed treatments within crops, even in early stages of growth with poor soil cover, so that only one was proposed for each species. All VI values were greatly affected by the hour of measurement at solar angles greater than 45 degrees. The indices most affected by solar angle changes were STVI and CRVI. We can conclude that simple indices, RVI and NDVI, based on reflectance measurements in TM3 and TM4 bands can be used to accurately asses canopy development in faba bean and semileafless peas, allowing good and fast estimations of fAPAR and LAI, both important parameters in crop physiology and modeling. More research in different type of soils is needed to check if ratio, SAVI2 and TSAVI, or orthogonal, PVI and GVI3, indices that include the effect of soils can improve the estimation of fAPAR in these two crops. (C)Elsevier Science Inc., 1998. [References: 37]
机译:使用田间分光辐射计对在灌溉和雨养条件下种植的半叶豌豆和蚕豆作物的冠层反射率进行了测量。这些豆类作物具有不同的冠层结构。这些豆类作物具有不同的冠层结构。在作物生长期间,根据在TM2,TM3,TM4和TM5波段进行的反射率测量,计算出九个植被指数(VI)。五个VI是比率索引(RVI,NDVI,SAVI2,TSAVI和RDVI),两个是正交索引(PVI和GVI3),另外两个(STVI和CRVI)包括中红外波段。同时测量来自辐射计的吸收的光合作用活性辐射(fAPAR)和反射率。在VI和fAPAR之间建立线性,指数和幂关系,以评估每个VI估算这些作物中fAPAR的能力。还研究了太阳角对VI测定的影响,使用了两个不同作物生长阶段中一天几个小时的反射率测量。结果表明,在两个物种中,最大和最大叶面积指数(LAImax)发育阶段需要不同的关系。在这两个物种的preLAImax中,所有VI与fAPAR高度相关,但是比率指数的测定系数(R-2)通常高于正交指数(PVI和GVI3)和TM5波段的指数(STVI和CRVI)。在比例指数中,在LAImax之前,R-2在包括土壤效应的指数(SAVI2和TSAVI)与没有土壤效应的指数(RVI,NDVI和RDVI)之间没有显着差异。与包括TM5波段(STVI和CRVI)的指数的关系显示出很大的斜率,从而提高了fAPAR估计值对反射率测量的误差和频率的敏感性。在LAImax之前的阶段,曲线关系对于豌豆冠层比较好,而线性关系对蚕豆更合适。在后LAImax中,线性关系通常更好,尤其是在豌豆中。作物内部的灌溉和雨养处理之间的关系没有差异,即使在土壤覆盖率较差的生长早期,也仅对每个物种提出一种建议。在太阳角大于45度的情况下,测量时间极大地影响了所有VI值。受太阳角变化影响最大的指标是STVI和CRVI。我们可以得出结论,基于TM3和TM4波段的反射率测量结果,简单的指数RVI和NDVI可用于准确评估蚕豆和半叶豌豆的冠层发育,从而可以快速,准确地估算作物中的重要参数fAPAR和LAI生理学和建模。需要对不同类型土壤进行更多研究,以检查包括土壤影响在内的比率SAVI2和TSAVI或正交PVI和GVI3指标是否可以改善这两种农作物中fAPAR的估算。 (C)Elsevier Science Inc.,1998年。[参考:37]

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