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NPP spatial and temporal distribution of north Hebei province using MODIS data

机译:基于MODIS数据的冀北地区NPP时空分布。

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Net primary production (NPP) is the total photosynthetic gain of vegetation per unit of ground area and per unit of period. NPP is one of the important biophysical variables of vegetation activity, and it plays an important role in studying global carbon cycle, carbon source and sink of ecosystem, temporal and spatial distribution of CO_2. Remote sensing can provide broad view quickly, timely and multi-temporally, which makes it an attractive and powerful tool for studying ecosystem primary productivity, at scales ranging from local to global. This paper aims to use MODIS data to estimate and analyze spatial and temporal distribution of NPP of north Hebei province in 2001 based on CASA model. The spatial distribution of vegetation absorbed photosynthetically active radiation (APAR) and Light conversion efficiency in three geographical subregions, that is, Bashang plateau region, basin region and Yanshan Mountainous region in North Hebei Province were analyzed, and total NPP spatial distribution of the study area in 2001 was discussed. Based on 16-day MODIS FPAR product, 16-day composite NPP dynamics were calculated using CASA model; vegetation NPP seasonal dynamics of three subregions were also analyzed.
机译:净初级生产力(NPP)是每单位地面区域和每周期的植被的总光合作用增益。 NPP是植被活动的重要生物物理变量之一,在研究全球碳循环,生态系统碳源和汇,CO_2的时空分布等方面具有重要作用。遥感可以快速,及时和多时地提供广泛的视野,这使它成为研究生态系统初级生产力的有吸引力且强大的工具,其范围从本地到全球。本文旨在利用MODIS数据,基于CASA模型对河北省北部2001年核电厂的时空分布进行估算和分析。分析了河北北部坝上高原地区,盆地地区和燕山山区三个地理区域植被吸收光合有效辐射(APAR)和光转换效率的空间分布,并研究了该区域的NPP总空间分布。在2001年进行了讨论。基于16天的MODIS FPAR产品,使用CASA模型计算了16天的复合NPP动力学;还分析了三个次区域的植被NPP季节动态。

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