基于GF-1和TM数据的金河林业局天然林保护成效评估研究
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摘要
[目的]利用遥感影像的特点,将地表覆盖类型和植被覆盖度作为天然林保护成效评估的研究指标,提出一种评估天然林保护成效的方法。[方法]首先,分析GF-1遥感影像特点,结合TM影像特点,研究针对GF-1遥感影像的处理和分析技术;其次,选择评估天然林保护成效评估的指标;再次,选取内蒙古金河林业局作为试验区,对试验区的地表覆盖类型变化、植被覆盖度变化进行分析,结合现地调查数据进行验证,从而评估天然林保护成效。[结果]基于采用分类后比较法能够有效检测出地表覆盖类型变化,经验证检测精度能够达到90%以上;归一化植被指数结合像元二分模型能够用于复杂地表植被覆盖度的反演,经野外实测数据验证精度可达到83%。[结论]根据地表覆盖类型变化监测和植被覆盖度变化监测结果,金河林业局天然林保护工程实施以来实现了森林资源由过度消耗向恢复性增长转变。
[Objective] Based on the characteristics of remote sensing images, the surface cover types and vegetation coverage were used as indicators to evaluate the effectiveness of natural forest protection, and a method to evaluate the effectiveness of natural forest protection was put forward. [Method] The characteristics of GF-1 data in China were analyzed, and the processing and analysis techniques for GF-1 remote sensing images were studied in combination with the features of TM images. Then, in view of the performance evaluation of natural forest protection, the indicators for evaluating the effectiveness of natural forest protection were selected. The Jinhe Forestry Bureau was selected as a test area, where the changes of surface cover type changes and vegetation coverage were analyzed, and then verified with field survey data to assess the effectiveness of natural forest protection. [Result] The post-classification method can effectively detect the changes of land cover types based on proven detection, the accuracy are higher more than 90%. Two pixel normalized vegetation index model can be used for inversion of complex surface vegetation coverage, and the accuracy verified by the field data can reach 83%. [Conclusion] According to the results of monitoring the change of surface cover type and vegetation coverage, the natural forest protection project has achieved some achievements since the implementation of the natural forest protection project of the forest resources from excessive consumption to the restorative growth.
[Objective] Based on the characteristics of remote sensing images, the surface cover types and vegetation coverage were used as indicators to evaluate the effectiveness of natural forest protection, and a method to evaluate the effectiveness of natural forest protection was put forward. [Method] The characteristics of GF-1 data in China were analyzed, and the processing and analysis techniques for GF-1 remote sensing images were studied in combination with the features of TM images. Then, in view of the performance evaluation of natural forest protection, the indicators for evaluating the effectiveness of natural forest protection were selected. The Jinhe Forestry Bureau was selected as a test area, where the changes of surface cover type changes and vegetation coverage were analyzed, and then verified with field survey data to assess the effectiveness of natural forest protection. [Result] The post-classification method can effectively detect the changes of land cover types based on proven detection, the accuracy are higher more than 90%. Two pixel normalized vegetation index model can be used for inversion of complex surface vegetation coverage, and the accuracy verified by the field data can reach 83%. [Conclusion] According to the results of monitoring the change of surface cover type and vegetation coverage, the natural forest protection project has achieved some achievements since the implementation of the natural forest protection project of the forest resources from excessive consumption to the restorative growth.
引文
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[3] 陈巧,陈永富,鞠洪波,等. 基于3S技术的天保区植被变化监测方法研究[J]. 林业科学研究,2013,26(6):736:743.
[4] 曹庆先,徐大平,鞠洪波. 基于TM影像纹理与光谱特征和KNN方法估算5种红树林群落生物量[J]. 林业科学研究,2011, 24(2):144-150.
[5] 罗杰,周广华,赖家明,等. 遥感技术在川西天然林资源监测中的应用—以道孚县甲斯孔林场为例[J]. 四川农业大学, 2010, 28(3):313-318.
[6] 王慧,王兵,牛香,等. 长白山森工集团天保工程生态效益动态变化[J]. 中国水土保持科学,2017, 15(5):86-93.
[7] 崔方茹,支玲,谢彦明. 陕西靖边天保工程森林生态系统服务功能价值评估[J]. 西南林业大学学报,2017,37(4):58-66.
[8] 谭炳香,李增元,陈尔学,等. 高光谱遥感森林信息提取研究进展[J]. 林业科学研究, 2008,21 (z1):105-111.
[9] 栗永红. 连续清查在天然林保护工程效益监测中的应用[J]. 山西林业, 2007, (5):13-14.
[10] 邢喜云. 凉城县天然林保护工程一期监测效果分析[J]. 内蒙古林业调查设计,2015,38(2): 39-41.
[11] 刘晓双. 海南省霸王岭天然林变化的遥感监测技术研究[D]. 北京:中国林业科学研究院,2010.
[12] 毕杰和. 内蒙古自治区金河林业局森林资源现状评价分析[J]. 内蒙古林业调查设计,2011,34(2):38-40.
[13] 方杰诗,周晓霖. 基于遥感影像和 NDVI 阈值法的银川市植被覆盖度反演与监测[J]. 节水灌溉,2014,(11):68-70.
[14] 吕浩博. 基于多时相光谱遥感影像的变化检测研究[D]. 西安:中国科学院研究生院(西安光学精密机械研究所),2015.
[15] 徐琼珵. 基于统计分析的多波段遥感图像变化检测方法研究[D]. 上海:上海交通大学,2013.