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首页> 外文期刊>Journal of geographical sciences >Monitoring and simulation of water, heat, and CO_2 fluxes in terrestrial ecosystems based on the APEIS-FLUX system
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Monitoring and simulation of water, heat, and CO_2 fluxes in terrestrial ecosystems based on the APEIS-FLUX system

机译：基于APEIS-FLUX系统的陆地生态系统中水，热和CO_2通量的监测和模拟

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摘要

The Integrated Environmental Monitoring (IBM) project, part of the Asia-Pacific Environmental Innovation Strategy (APEIS) project, developed an integrated environmental monitoring system that can be used to detect, monitor, and assess environmental disasters, degradation, and their impacts in the Asia-Pacific region. The system primarily employs data from the moderate resolution imaging spectrometer (MODIS) sensor on the Earth Observation System- (EOS-) Terra/Aqua satellite, as well as those from ground observations at five sites in different ecological systems in China. From the preliminary data analysis on both annual and daily variations of water, heat and CO_2 fluxes, we can confirm that this system basically has been working well. The results show that both latent flux and CO_2 flux are much greater in the crop field than those in the grassland and the saline desert, whereas the sensible heat flux shows the opposite trend. Different data products from MODIS have very different correspondence, e.g. MODIS-derived land surface temperature has a close correlation with measured ones, but LAI and NPP are quite different from ground measurements, which suggests that the algorithms used to process MODIS data need to be revised by using the local dataset. We are now using the APEIS-FLUX data to develop an integrated model, which can simulate the regional water, heat, and carbon fluxes. Finally, we are expected to use this model to develop more precise high-order MODIS products in Asia-Pacific region.
机译：集成环境监测（IBM）项目是亚太环境创新战略（APEIS）项目的一部分，开发了一个集成环境监测系统，该系统可用于检测，监测和评估环境灾难，退化及其对环境的影响。亚太地区。该系统主要利用来自地球观测系统（EOS）Terra / Aqua卫星上的中分辨率成像光谱仪（MODIS）传感器的数据，以及来自中国不同生态系统中五个地点的地面观测数据。从对水，热和CO_2通量的年和日变化的初步数据分析中，我们可以确认该系统基本运行良好。结果表明，耕地中的潜在通量和CO_2通量均比草地和盐碱沙漠中的通量和CO_2通量大得多，而显热通量则呈现相反的趋势。来自MODIS的不同数据产品具有非常不同的对应关系，例如来自MODIS的地表温度与被测温度有密切关系，但是LAI和NPP与地面测量值有很大差异，这表明用于处理MODIS数据的算法需要使用本地数据集进行修改。现在，我们正在使用APEIS-FLUX数据来开发一个集成模型，该模型可以模拟区域水，热和碳通量。最后，我们有望使用此模型在亚太地区开发更精确的高阶MODIS产品。

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