1. 中国科学院 水利部 水土保持研究所, 陕西 杨陵,712100
2. 中国科学院大学,北京,101400
3. 西北大学 城市与环境学院,陕西,西安,710127
纸质出版:2020
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杨力华, 杨勤科, 朱梦阳, 等. 泛第三极典型地区土地利用和水保措施解译精度分析[J]. 水土保持通报, 2020,40(2):154-161.
Yang Lihua, Yang Qinke, Zhu Mengyang, et al. Accuracy Analysis of Interpretation of Land Use and Soil and Water Conservation Measures in Typical Regions of Pan-Third Pole[J]. Bulletin of Soiland Water Conservation, 2020, 40(2): 154-161.
杨力华, 杨勤科, 朱梦阳, 等. 泛第三极典型地区土地利用和水保措施解译精度分析[J]. 水土保持通报, 2020,40(2):154-161. DOI: 10.13961/j.cnki.stbctb.2020.02.022.
Yang Lihua, Yang Qinke, Zhu Mengyang, et al. Accuracy Analysis of Interpretation of Land Use and Soil and Water Conservation Measures in Typical Regions of Pan-Third Pole[J]. Bulletin of Soiland Water Conservation, 2020, 40(2): 154-161. DOI: 10.13961/j.cnki.stbctb.2020.02.022.
[目的] 进行泛第三极典型地区抽样单元土地利用和水土保持措施遥感解译精度评价,提高高分辨率影像的解译正确率,分析解译结果的区域代表性。[方法] 于2018-2019年在中国西藏、泰国清莱和巴基斯坦地区分别选取9个、18个、15个抽样单元进行野外调查。以野外调查的土地利用结果作为参照,通过混淆矩阵、土地利用变化转移矩阵分析基于Google Earth影像进行土地利用和水保措施判读的精度;通过与参考数据集土地利用结构的对比,分析解译结果的区域代表性。[结果] ①3个典型样区土地利用解译精度较理想,总体分类精度在80%以上,平均kappa系数分别为0.74,0.75和0.82;②与野外调查结果相比,3个典型样区水土保持措施解译结果比较理想;③遥感抽样解译的结果与GLC 30 m,GLC 10 m数据集的土地利用结构相似度较高。[结论] 基于高分影像解译土地利用类型和水土保持措施的结果与野外调查的结果一致性较好,且符合参考数据集的土地利用结构,抽样单元遥感解译结果对于土地利用的宏观特征结构有较好的区域代表性表达。
[Objective] The purpose of this work is to improve the accuracy of interpretation of land use and soil and water conservation measures from high-resolution images and analyze the regional representativeness of interpretation results in typical regions of the Pan-Third Pole.[Methods] Totally
9
18 and 15 sampling units were selected respectively in Tibet of China
Chiang Rai in Thailand and Pothohar Plateau of Pakistan for field surveys in the period of 2018-2019.The results of the field surveys of land use were taken as the references. The interpretation accuracy of land use and soil and water conservation measures based on Google Earth images was analyzed using confusion matrix and land use change transition matrix. The regional representativeness of the interpretation results was analyzed by comparing the land use structure obtained to the reference data sets.[Results] ① The accuracy of land use interpretation in the three typical sample areas was high with the overall classification accuracies being all above 80%
and the average kappa coefficients of 0.74
0.75 and 0.82 respectively; ② The interpretation results for soil and water conservation measures in the three typical sample areas were found to be quite satisfactory compared with the field survey results; ③ The results of remote sensing interpretations of land use structure based on sampling showed a high similarity with the GLC 30 m and GLC 10 m data sets.[Conclusion] The results of land use interpretations and soil and water conservation measures based on high-resolution images are consistent with the results of field survey
and conform to the land use structure of the reference data sets. Thus
the results of remote sensing interpretation of sampling units can express the macro feature structure of land use very well.
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