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基于国产GF-1影像的川金丝猴生境评价研究

马琰, 郭颖, 邓广, 张旭, 于新文

马琰, 郭颖, 邓广, 张旭, 于新文. 基于国产GF-1影像的川金丝猴生境评价研究[J]. 北京林业大学学报, 2016, 38(7): 81-90. DOI: 10.13332/j.1000-1522.20150115
引用本文: 马琰, 郭颖, 邓广, 张旭, 于新文. 基于国产GF-1影像的川金丝猴生境评价研究[J]. 北京林业大学学报, 2016, 38(7): 81-90. DOI: 10.13332/j.1000-1522.20150115
MA Yan, GUO Ying, DENG Guang, ZHANG Xu, YU Xin-wen.. Habitat suitability evaluation for Rhinopithecus roxellanae based on GF-1 satellite.[J]. Journal of Beijing Forestry University, 2016, 38(7): 81-90. DOI: 10.13332/j.1000-1522.20150115
Citation: MA Yan, GUO Ying, DENG Guang, ZHANG Xu, YU Xin-wen.. Habitat suitability evaluation for Rhinopithecus roxellanae based on GF-1 satellite.[J]. Journal of Beijing Forestry University, 2016, 38(7): 81-90. DOI: 10.13332/j.1000-1522.20150115

基于国产GF-1影像的川金丝猴生境评价研究

基金项目: 

863国家高技术研究发展计划项目(2012AA12A20905)、高分辨率对地观测系统重大专项(民用部分)高分林业遥感应用示范系统(一期)。

详细信息
    作者简介:

    马琰。主要研究方向:遥感信息处理、GIS。Email:mayan@ifrit.ac.cn地址:100091北京市海淀区颐和园后中国林业科学研究院资源信息研究所。责任作者:张旭,研究员。主要研究方向:分布式计算、网络技术。Email:zhangxu@ifrit.ac.cn地址:同上。

    马琰。主要研究方向:遥感信息处理、GIS。Email:mayan@ifrit.ac.cn地址:100091北京市海淀区颐和园后中国林业科学研究院资源信息研究所。责任作者:张旭,研究员。主要研究方向:分布式计算、网络技术。Email:zhangxu@ifrit.ac.cn地址:同上。

Habitat suitability evaluation for Rhinopithecus roxellanae based on GF-1 satellite.

  • 摘要: 利用国产高分一号(GF-1)卫星遥感影像,综合神农架川金丝猴已有科考数据和相关研究成果,以地理信息系统为主要分析手段,选取植被类型、海拔、坡度、坡向、水源和人类干扰等作为评价因子,快速进行神农架川金丝猴秋季生境适宜性评价,首次将GF-1卫星影像应用于野生动物生境评价。评价结果表明:在不考虑人类活动影响时,川金丝猴潜在的最适宜生境和适宜生境面积分别为56.876和305.156 km2,分别占保护区面积的7.77%和41.69%;由于居民区和公路等的影响,神农架自然保护区川金丝猴实际适宜生存面积变小,实际最适宜生境和适宜生境面积分别为46.935和214.617 km2,分别占保护区总面积的6.41%和29.32%。将基于GF-1卫星遥感影像得到的川金丝猴生境适宜性评价结果,与基于Landsat8遥感影像得到的生境评价结果对比,二者评价结果符合度达91.7%,表明在野生动物生境研究领域国产GF-1卫星影像可以有效地替代国外Landsat影像,利用GF-1卫星影像进行野生动物生境评价是可行的。GF-1卫星突破了在野生动物研究领域普遍依赖国外数据的局面。GF-1卫星影像具有高空间分辨率、高时间分辨率、低成本和数据来源可靠等特点,无疑是我国野生动物生境遥感应用研究中可供选择的新的数据源。由于GF-1是我国高分辨率对地观测系统的第一颗卫星,开展GF-1数据的应用验证具有十分重要的科学意义。目前,利用GF-1开展此类研究国内外尚未见类似报道,本研究对于在林业实际业务中开展国产高分卫星遥感数据应用同样具有指导作用。
    Abstract: Based on GF-1 satellite remote sensing images and geographic information technology (GIS), and combing data in previous research, we evaluated the habitat suitability of Rhinopithecus roxellana in Shennongjia Nature Reserve in Hubei Province, by taking various habitat factors as evaluation indicators, including altitude, slope, aspect, vegetation type, water system and anthropogenic disturbances. The results showed that, if not considering the influence of human activities, the optimal habitat area and the suitable habitat area were 56.876 km2 and 305.156 km2 respectively, accounting for 7.77% and 41.69% of the total area. Due to the impact of residential and roads, the actually suitable habitat in the reserve became smaller, and the optimal suitable habitat and suitable habitat area decreased to 46.935 km2and 214.617 km2, accounting for 6.41% and 29.32% of the total area. Comparing the habitat suitability evaluation results based on Landsat8 remote sensing images and GF-1 satellite images, the evaluation results accorded with each other, with a degree of 91.7%, showing that GF-1 satellite images can replace Landsat satellite ones effectively in the study of wildlife habitat evaluation. Therefore, the domestic GF-1 satellite can meet the practical requirements of wildlife habitat evaluation, which breaks the dependence on foreign data in the field of wild animal habitat research. With the characteristics of high spatial resolution, high time resolution, low cost and reliable data source, the GF-1 satellite images undoubtedly become a new data source for the remote sensing technology for studying wild animal habitat in China. Because the GF-1 is the first satellite in China with high resolution earth observation system, it is very important to verify GF-1 data. This study also plays a guiding role for the application of domestic high satellite remote sensing data in forestry.
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  • 收稿日期:  2015-04-19
  • 发布日期:  2016-07-29

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