基于遥感的图斑植被恢复监测研究  

Research on Monitoring of Vegetation Restoration Based on Mapped Plots by Remote Sensing

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作  者:张成程 刘畅[2] 鲍瑞 田家硕 Zhang Chengcheng;Liu Chang;Bao Rui;Tian Jiashuo(Southwest Survey and Planning Institute of National Forestry and Grassland Administration,Kunming Yunnan 650031,China;Southwest Forestry University,Kunming Yunnan 650233,China)

机构地区:[1]国家林业和草原局西南调查规划院,云南昆明650031 [2]西南林业大学,云南昆明650223

出  处:《西南林业大学学报(自然科学)》2025年第2期169-176,共8页Journal of Southwest Forestry University:Natural Sciences

基  金:云南省兴滇英才支持计划青年拔尖项目(YNWR–QNBJ–2019–064)资助。

摘  要:利用Landsat遥感影像,结合峨山县2018年森林督查自查数据,对比目视解译、代数运算和时间序列分析3种植被恢复监测手段,研究遥感技术在植被恢复监管中的作用,以期为林业主管部门植被恢复监管提供有效技术手段。结果表明:中低分辨率的遥感影像通过纹理和真彩色或假彩色波段组合识别出植被覆盖范围,但很难精准识别出未成林造林地这类裸地特征显著强于植被光谱特征的林地、种植有庄稼、蔬菜、烟草等具有植被光谱特征的非林地;中值合成的年度缨帽变换湿度分量在植被恢复监测中对于毁林开垦后未恢复到位的违法地块表现出了比最大值合成的年度NBR和NDVI相对更优的适用性。时间序列分析可以呈现植被光谱特征的变化趋势,尤其是利用农作物的季节性变化特征弥补了最大值合成法提取的植被指数过多将农作物识别为林地植被的不足;但其对小面积涉火林区植被的恢复监测灵敏度不高。因此,通过遥感手段进行基于森林督查图斑的植被恢复的监测是可行的。By using Landsat remote sensing images and combining with the self-inspection data records of forest inspection in Eshan County in 2018,3 monitoring methods of vegetation restoration,namely visual interpretation,algebraic operation and time series analysis,were compared to study the role of remote sensing technology in vegetation restoration supervision,with a view to providing effective technical means for the supervision of vegetation restoration by forestry department.The results show that the vegetation coverage can be identified by the combination of texture and true or false color bands in medium and low resolution remote sensing images,but it is difficult to accurately identify unformed forest for that the land with bare land spectral characteristics significantly stronger than the vegetations,and non-forest land with vegetation spectral characteristics such as crops,vegetables and tobacco;The median synthesis of annual Tasseled Cap Wetness(TCW)showed better applicability than the maximum synthesis of annual NBR and NDVI in vegetation restoration monitoring for illegal parcels that were not restored in place after deforestation. Time series analysis can present the changing trend of vegetation spectral characteristics, especially the use of seasonal change characteristics of crops to make up for the shortcom-ings of the vegetation index extracted by the maximum value synthesis method that identifies too many crops as woodland vegetation, but it is not sensitive to the restoration and monitoring of the vegetation in small areas of fire-involved forests. In conclusion, it is feasible to carry out fine-grained monitoring of vegetation restoration based on the forest inspection mapped plots by remote sensing.

关 键 词:植被恢复 森林督查 遥感 LANDSAT 

分 类 号:S771.8[农业科学—森林工程]

 

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