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Monitoring farmland abandonment by multitemporal and multisensor remote sensing imagery

Monitoring farmland abandonment by multitemporal and multisensor remote sensing imagery
利用多时相、多传感器遥感影像监测农田撂荒
批准号:
194422486
负责人:
Professor Dr. Björn Waske
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2011
资助国家:
德国
项目状态:
已结题
起止时间:
2010-12-31 至 2014-12-31

项目摘要

项目成果

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中文摘要
翻译
这项研究项目研究了波兰和乌克兰边境地区的一个地区。随着铁幕的落下,该区域的政治和社会经济结构发生了巨大变化。大片农田变成荒地,荒地上发生了森林演替的渐进过程。没有可靠的统计数据,但遥感系统有可能提供关于土地覆盖及其环境状况的空间分布和时间上频繁的数据。因此,基于遥感的测绘为绘制这些现象的地图并最终更好地了解模式、过程和根本原因提供了很好的机会。现有的研究是基于多光谱图像的,然而,由于光谱模糊、物候变化和数据可获得性有限,很难获得废弃地图。合成孔径雷达数据可以克服这些问题,不同的遥感研究显示了多传感器图像的潜力。该项目的目的是制定适当的战略,利用多时相合成孔径雷达和多光谱遥感数据监测农田被遗弃情况。最后,应提供经过改进的地图,以便更详细地分析土地覆盖过渡的逐步过程。
英文摘要
This research project studies an area in the border region of Poland and Ukraine. With the fall of the Iron Curtain the region experienced drastic changes in political and socio- economic structures. Large farmland areas become abandoned and gradual processes of forest succession take place on the abandoned land. Reliable statistics are not available, however, remote sensing systems have the potential to provide spatially distributed and temporally frequent data on land cover and its environmental state. Thus, remote sensing based mapping offers great opportunities to map these phenomena and ultimately to better understand patterns, processes and underlying causes. Existing studies are based on multispectral imagery, abandonment maps, however, are difficult to obtain due to spectral ambiguities, phenological variability and limited data availability. SAR data can overcome these problems and different remote sensing studies demonstrated the potential of multisensor imagery. The aim of the project is the development of adequate strategies to monitor farmland abandonment, using multitemporal SAR and multispectral remote sensing data. Finally enhanced maps should be provided, which enable more detailed analysis of the gradual process of land cover transitions.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.3390/rs6065279
发表时间: 2014-06
期刊: Remote. Sens.
影响因子: --
作者: [Jan Stefanski;T. Kuemmerle;Oleh Chaskovskyy;P. Griffiths;V. Havryluk;J. Knorn;N. Korol;Anika Sieber;B. Waske]
通讯作者: Jan Stefanski;T. Kuemmerle;Oleh Chaskovskyy;P. Griffiths;V. Havryluk;J. Knorn;N. Korol;Anika Sieber;B. Waske
DOI: 10.1016/j.apgeog.2014.08.003
发表时间: 2014-12
期刊: Applied Geography
影响因子: 4.9
作者: [Jan Stefanski;Oleh Chaskovskyy;B. Waske]
通讯作者: Jan Stefanski;Oleh Chaskovskyy;B. Waske
Self-taught learning for land cover mapping of large areas, using multispectral remote sensing data
  • 批准号:
    240015646
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2013
  • 负责人:
    Professor Dr. Björn Waske
  • 依托单位:
国内基金
海外基金
黄土高原半城镇化农民非农生计可持续性及农地流转和生态效应