Extracting Features of Soil and Water Conservation Measures from Remote Sensing Images of Different Resolution Levels: Accuracy Analysis
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Extracting Features of Soil and Water Conservation Measures from Remote Sensing Images of Different Resolution Levels: Accuracy Analysis
Bulletin of Soiland Water ConservationVol. 31, Issue 4, Pages: 154-157(2012)
作者机构:
1. 黄河水利委员会黄河上中游管理局,陕西,西安,710021
2. 黄河设计公司环境与移民院,河南,郑州,450003
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Published:2012
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ZHAO Bang-yuan, MA Ning, YANG Juan, et al. Extracting Features of Soil and Water Conservation Measures from Remote Sensing Images of Different Resolution Levels: Accuracy Analysis[J]. Bulletin of Soiland Water Conservation, 2012, 31(4): 154-157.
DOI:
ZHAO Bang-yuan, MA Ning, YANG Juan, et al. Extracting Features of Soil and Water Conservation Measures from Remote Sensing Images of Different Resolution Levels: Accuracy Analysis[J]. Bulletin of Soiland Water Conservation, 2012, 31(4): 154-157.DOI:
Extracting Features of Soil and Water Conservation Measures from Remote Sensing Images of Different Resolution Levels: Accuracy Analysis
A number of test areas were selected in Jiuyuangou small valley. Based on different resolution remote sens-ing images
features of soil and water conservation measures were extracted using GIS technology. The results show that in the first subzone of hill-gully zone of Loess Plateau
the image resolution must be higher than 2.5 m to ap-propriately extract the features of terraces
platforms
sparse forests
and undeveloped planting forests; the resolution level should be higher than 2.5 m for accurate extraction of slope farmland
dammed valley
and grassland converted from farmland; the image resolution level can be higher than or equal to 2.5 m for natu-ral grassland. The resolution level should be higher than 10 m for forest-grass vegetation.
Spatiotemporal variation trends and driving factors of fractional vegetation cover in Jiangsu Province from 2013 to 2022
Using TM to Monitor the Desertification in West China
Remote Sensing Classification Method of Slope Field in Loess Hilly and Gully Area of Northern Shaanxi Province
Supervise of Eco-environmental Change Based on RS Methods and Causal Analysis in Maduo County in Upriver Regions of the Yellow River
Analysis of Soil Erosion Tendency in the Liaohe River Basin Using Remote Sensing and GIS
Related Author
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WEI Ya-xing
WANG Li-wen
WANG Yi-mou
LIU Yong-mei
Related Institution
Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring/School of Land Science and Space Planning, Hebei GEO University
Department of Graduate Student, Changan University, Xian
Department of Environment and Engineering, Changan University, Xian
Department of Geoscience and Country’s Resource, Changan University, Xian
Institute of Hydrology and Water Resources, Tsinghua University