首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >INTRA- AND INTER-ANNUAL TRENDS OF SUN-INDUCED FLUORESCENCE (SIF) FOR CONTRASTING VEGETATION TYPES OF INDIA
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INTRA- AND INTER-ANNUAL TRENDS OF SUN-INDUCED FLUORESCENCE (SIF) FOR CONTRASTING VEGETATION TYPES OF INDIA

机译:用于对比印度植被类型的阳光诱导荧光(SIF)的年度和年度年度阶段趋势

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The photosynthesis governs productivity and health of the forests. Traditionally, remote sensing derived reflectance measures have been used to assess forest phenology, productivity and stress. The chlorophyll pigments absorb solar radiation, and emit fluorescence in far red region of electromagnetic spectrum. Chlorophyll fluorescence directly relates to the photosynthetic activity of the plants. Measurement of chlorophyll fluorescence from space has recently been achieved in the form of Sun-Induced Fluorescence (SIF). But SIF response have been found variable with respect to variation in vegetation type, hence, there is a need to study SIF response of tropical forests of India considering their wide extent, contribution to national carbon cycle and climate resilience. In this study, intra- and inter-annual GOME-2 and OCO-2 SIF responses of contrasting Indian tropical forest types viz., dry deciduous (Betul, Madhya Pradesh), moist deciduous (Kalahandi, Orissa) and wet evergreen forests (Uttara Kannada, Karnataka) has been investigated with respect to rainfall, NDVI and GPP trends. The results show that dry, moist and wet forests of India have differences in photosynthetic activity at intra- and inter-annual scale. GOME-2 SIF observations were more variables than OCO-2 SIF, particularly during green-up and senescence phase. SIF explained higher seasonality for dry deciduous followed by moist deciduous and wet evergreen. Annually integrated SIF (proxy of GPP) was in order: wet evergreen  moist deciduous  dry deciduous.
机译:光合作用管理森林的生产力和健康。传统上,遥感衍生的反射率措施已被用于评估森林候选,生产力和压力。叶绿素颜料吸收太阳辐射,并在电磁谱的远红区域发射荧光。叶绿素荧光直接涉及植物的光合活性。最近以太阳诱导的荧光(SIF)的形式实现了空间的叶绿素荧光的测量。但是,对于植被类型的变化,SIF响应已经发现了变化,因此,需要研究印度热带森林的SIF响应,考虑到各种范围,对国家碳循环和气候复原力贡献。在本研究中,年间的年间Gome-2和oco-2 SIF反应对比印度热带森林类型的致敏感,干燥落叶(Betul,Madhya Pradesh),潮湿的落叶(Kalahandi,Orissa)和湿常绿森林(Uttara Kannada,Karnataka)已经研究了降雨,NDVI和GPP趋势。结果表明,印度的干燥,潮湿的森林在年度和年间比例下的光合活动差异。 Gome-2 SIF观察结果比OCO-2 SIF更多的变量,特别是在绿色和衰老阶段期间。 SIF解释了干燥的落叶的季节性较高,然后湿润落叶和湿常绿。每年集成的SIF(GPP代理)是有序的:湿常绿>湿润落叶>干燥落叶。

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