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基于GF-4 PMS的高时空分辨率遥感数据融合分析
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作者 皮新宇 王盼成 +1 位作者 曾永年 卢晗 《地理与地理信息科学》 CSCD 北大核心 2022年第3期23-30,共8页
探讨基于GF-4 PMS的高时空分辨率数据融合,对改善遥感数据时空融合效果、提高融合精度以及国产高分辨率卫星数据的广泛、有效应用具有重要意义。该文基于GF-4 PMS数据,利用目前广泛应用的3种时空融合模型(STARFM、ESTARFM、FSDAF),选择... 探讨基于GF-4 PMS的高时空分辨率数据融合,对改善遥感数据时空融合效果、提高融合精度以及国产高分辨率卫星数据的广泛、有效应用具有重要意义。该文基于GF-4 PMS数据,利用目前广泛应用的3种时空融合模型(STARFM、ESTARFM、FSDAF),选择不同地表复杂程度的区域进行高时空分辨率GF-1 WFV、Landsat OLI数据融合实验与对比分析。结果表明:1)相对于MODIS数据,基于GF-4数据融合的高时空分辨率影像(GF-1 WFV、Landsat OLI)在空间细节、光谱特征方面更接近真实影像,融合效果与精度更好;2)基于GF-4数据的时空融合结果对不同模型的差异性不敏感,在实际应用中,应用GF-4数据的时空融合可尽量选择简洁的融合模型。研究成果可为GF-4 PMS数据的时空融合应用及像元空间尺度差异对时空融合的影响研究等提供参考。 展开更多
关键词 高时空分辨率 时空融合 尺度效应 GF-4 PMS GF-1 WFV
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Using Landsat TM Imagery to Detect Desertification in Gonghe Basin at the Upper Reaches of the Yellow River 被引量:1
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作者 XU Huo zeng yong-nian 《Journal of China University of Mining and Technology》 EI 2006年第3期287-291,共5页
In recent years, the ecological environment in the upper reaches of the Yellow River has been degraded due to natural and human factors. Environmental problems such as grassland degeneration, sandy desertification and... In recent years, the ecological environment in the upper reaches of the Yellow River has been degraded due to natural and human factors. Environmental problems such as grassland degeneration, sandy desertification and water erosion have seriously affected regional economic sustainable development. The objective of this paper was to detect sandy desertification in the upper reaches of the Yellow River by means of remote sensing and GIS. The Gonghe Basin was chosen as the study site, which is one of the most seriously degraded regions in the area. Based on an analysis of the multi-temporal and multi-spectral Landsat TM data with GIS, sandy desertification processes were detected. The results show that sandy desertified land has increased and intensified seriously in the upper reaches of the Yellow River for the period from 1987 to 1996. There are two desertification processes at work in the study area: sand dune reactivation and development of badlands through wind erosion. Excessive human activities play an important role in the occurrence and development of desertification in this area. At present, acceleration of the desertification process is attributed to irrational human economic activities. Grasslands as well as the ecological environment of this area have been seriously degraded, which has affected the regional economic sustainable development and endangered the security of the Longyangxia reservoir. It is necessary and urgent to combat desertification and protect the environment. The results show that full use of remote sensing data with GIS in monitoring and assessing desertification is an effective measure of quantitative research. 展开更多
关键词 sandy desertification detection remote sensing GIS Gonghe Basin
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