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Land-cover change, greenhouse gas emission, and climate change: a case study in the Three-River-Plain region of the Northeast China

机译:陆地覆盖变化,温室气体排放和气候变化 - 以东北三河平原地区为例

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Human-induced land-cover and land-use change (LCLUC) has a profound impact on the magnitude and dynamics of spatial and temporal patterns of greenhouse gas emissions and regional climate change in a wetland-dominated Amur River Basin, henceforth referred to as the Three-River-Plain (TRP) region, in Northeast China. The TRP region has the largest natural wetland extent in China. Drainage of wetlands and conversion from wetland into agriculture land use may be one of the primary reasons for the regional climate change. The region's temperature experienced two sudden increases in early 1970s and late 1980s and those changes were coincident with the time frames of large-scale agricultural reclamations. The TRP region warrants a significant regional study to answer questions such as 努ere human-induced LCLUC significant to affect the magnitude and spatial temporal greenhouse gas emissions and further responsible for regional climate change??Integration of satellite remotely sensed land surface conditions and in situ measurements of greenhouse gas fluxes provide a reliable information source to study the spatial-temporal patterns of greenhouse gas emissions. Integration of remote sensing detected land-cover change and patterns of greenhouse gas fluxes associated with different land-cover types allows quantification of regional greenhouse gas emission and further studies the driving factors of regional climate change. Landsat and Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data are necessary toward this effort.
机译:人类陆地覆盖和土地利用变化(Lcluc)对温室气体排放的空间和时间模式的程度和动态产生了深远的影响,在湿地主导的阿穆尔河流域中的温室气体排放和区域气候变化的幅度和动态变化,从此提到了三河平原(TRP)地区,东北地区。 TRP地区在中国具有最大的天然湿地范围。湿地的排水和从湿地转化为农业土地使用可能是区域气候变化的主要原因之一。该地区的温度经历了20世纪70年代初和20世纪80年代后期的突然增加,那些变化与大规模农业填海的时间框架巧合。 TRP地区认证了一个重要的区域研究,以回答努的问题,例如人类诱导的Lcluc,影响幅度和空间时间温室气体排放,并进一步负责区域气候变化?卫星远程感应的土地表面条件和原位的整合温室气体通量的测量提供了一种可靠的信息源,以研究温室气体排放的空间模式。遥感的整合检测到的土地覆盖变化和与不同陆地覆盖类型相关的温室气体通量的模式允许区分区域温室气体排放,进一步研究区域气候变化的驱动因素。 Landsat和适度分辨率的成像光谱仪(MODIS)遥感数据对于这项工作来说是必要的。

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