Aiming at alleviating the serious soil erosion, the Chinese government initiated the Sloping Land Conversion Program （SLCP） in 1999. Now; after 8 years of project implementation, the ecological recovery effects of t...Aiming at alleviating the serious soil erosion, the Chinese government initiated the Sloping Land Conversion Program （SLCP） in 1999. Now; after 8 years of project implementation, the ecological recovery effects of the SLCP have become the hot issue of academic circle. This paper; raking the loess hill and gully area of northern Shaanxi as an example, presents a methodology for assessing the vegetation restoration effect of SLCP with normalized difference vegetation index （NDVI）. The key components include calculation of the Growing Season NDVI （GSNDVI）, and estimation of the NVDI change induced by climate and SLCP, respectively. Based on the method, the NDVI change between 2000 and 2006 was obtained using the GSNDVI that excluded the noise from snow and ice. After the part of total NDVI change caused to： climate variation was estimated using empiric formulae, we obtained the part induced by human factors, i.e. the SLCP The human induced part of ND VI change was considered as an approximation indicating the effect of the SLCP on the vegetation. Finally, we analyzed the ND VI change characters of the whole study area, different slope lands and different land use types by spatial statistics method. Results show that the vegetation condition is significantly improved by the SLCP, particularly land types that directly involved in the SLCP, such as steeply slope farmlands, degraded grasslands, etc.展开更多
Dae to complex terrain of the Loess Plateau, the classification accuracy is unsatisfactory when a single supervised classification is used in die remote sensing investigation of the sloping field. Taking the loess hil...Dae to complex terrain of the Loess Plateau, the classification accuracy is unsatisfactory when a single supervised classification is used in die remote sensing investigation of the sloping field. Taking the loess hill and gully area of northern Shaanxi Province as a test area, a research was conducted to extract sloping field and other land use categories by applying an integrated classification. Based on an integration of supervised classification aad unsupervised classification, sampling method is remarkably unproved. The results show that the classification accuracy is satisfactory by the method and is of critical significance in obtaining up-to-date information of the sloping field, which should be helpful in the state key project of converting farmland to forest and grassland on slope land in this area. This research sought to improve the application accuracy of image classification in complex terrain areas.展开更多
为了更全面地评价WEPP模型在我国的适用性,该文通过建立模型数据库,利用WEPP分别模拟了坡长为10、20、30和40 m的径流量和土壤侵蚀量,并用实测径流和侵蚀资料进行对比分析。结果表明,在10、20、30和40 m 4个坡长条件下,WEPP模型对降雨...为了更全面地评价WEPP模型在我国的适用性,该文通过建立模型数据库,利用WEPP分别模拟了坡长为10、20、30和40 m的径流量和土壤侵蚀量,并用实测径流和侵蚀资料进行对比分析。结果表明,在10、20、30和40 m 4个坡长条件下,WEPP模型对降雨、每年和多年平均径流量模拟的Nash-Sutcliffe有效性(ME)分别为0.915、0.879和-0.056,对单场降雨、每年和多年平均土壤侵蚀量模拟的ME分别为0.853、0.758和-0.456,多年平均的ME为负值可能是由小样本计算造成的。WEPP模型对单场降雨和每年径流量和侵蚀量模拟效果较好。尽管WEPP模型对多年平均径流量和土壤侵蚀量模拟效果较差,但模型模拟的多年径流量和土壤侵蚀量与实测值的多年径流量和土壤侵蚀量的最大相对误差分别为7.90%和29.20%,表明WEPP模型对多年径流量和侵蚀量的模拟可满足要求。径流量模拟值随坡长增加的变化和实测值相比不够敏感;而土壤侵蚀量模拟值随坡长增加的变化和实测值相比过于敏感。展开更多
基金supported by National Natural Science Foundation of China (Grant No.40671007) Major Projects of Knowledge In-novation Program of the Chinese Academy of Sciences (Grant No.KZCX2-YW-421)
文摘Aiming at alleviating the serious soil erosion, the Chinese government initiated the Sloping Land Conversion Program （SLCP） in 1999. Now; after 8 years of project implementation, the ecological recovery effects of the SLCP have become the hot issue of academic circle. This paper; raking the loess hill and gully area of northern Shaanxi as an example, presents a methodology for assessing the vegetation restoration effect of SLCP with normalized difference vegetation index （NDVI）. The key components include calculation of the Growing Season NDVI （GSNDVI）, and estimation of the NVDI change induced by climate and SLCP, respectively. Based on the method, the NDVI change between 2000 and 2006 was obtained using the GSNDVI that excluded the noise from snow and ice. After the part of total NDVI change caused to： climate variation was estimated using empiric formulae, we obtained the part induced by human factors, i.e. the SLCP The human induced part of ND VI change was considered as an approximation indicating the effect of the SLCP on the vegetation. Finally, we analyzed the ND VI change characters of the whole study area, different slope lands and different land use types by spatial statistics method. Results show that the vegetation condition is significantly improved by the SLCP, particularly land types that directly involved in the SLCP, such as steeply slope farmlands, degraded grasslands, etc.
基金National Nature Science Foundation of China,No.40271089High-visiting scholar fund of The Key Laboratory of LIESMARS
文摘Dae to complex terrain of the Loess Plateau, the classification accuracy is unsatisfactory when a single supervised classification is used in die remote sensing investigation of the sloping field. Taking the loess hill and gully area of northern Shaanxi Province as a test area, a research was conducted to extract sloping field and other land use categories by applying an integrated classification. Based on an integration of supervised classification aad unsupervised classification, sampling method is remarkably unproved. The results show that the classification accuracy is satisfactory by the method and is of critical significance in obtaining up-to-date information of the sloping field, which should be helpful in the state key project of converting farmland to forest and grassland on slope land in this area. This research sought to improve the application accuracy of image classification in complex terrain areas.
文摘为了更全面地评价WEPP模型在我国的适用性,该文通过建立模型数据库,利用WEPP分别模拟了坡长为10、20、30和40 m的径流量和土壤侵蚀量,并用实测径流和侵蚀资料进行对比分析。结果表明,在10、20、30和40 m 4个坡长条件下,WEPP模型对降雨、每年和多年平均径流量模拟的Nash-Sutcliffe有效性(ME)分别为0.915、0.879和-0.056,对单场降雨、每年和多年平均土壤侵蚀量模拟的ME分别为0.853、0.758和-0.456,多年平均的ME为负值可能是由小样本计算造成的。WEPP模型对单场降雨和每年径流量和侵蚀量模拟效果较好。尽管WEPP模型对多年平均径流量和土壤侵蚀量模拟效果较差,但模型模拟的多年径流量和土壤侵蚀量与实测值的多年径流量和土壤侵蚀量的最大相对误差分别为7.90%和29.20%,表明WEPP模型对多年径流量和侵蚀量的模拟可满足要求。径流量模拟值随坡长增加的变化和实测值相比不够敏感;而土壤侵蚀量模拟值随坡长增加的变化和实测值相比过于敏感。
