生物多样性 ›› 2018, Vol. 26 ›› Issue (8): 819-827. DOI: 10.17520/biods.2018052
李爱农1,*(), 尹高飞1, 张正健1,2, 谭剑波1,2, 南希1, 马克平3, 郭庆华3
收稿日期:
2018-02-11
接受日期:
2018-06-24
出版日期:
2018-08-20
发布日期:
2018-09-27
通讯作者:
李爱农
作者简介:
# 共同第一作者
基金资助:
Ainong Li1,*(), Gaofei Yin1, Zhengjian Zhang1,2, Jianbo Tan1,2, Xi Nan1, Keping Ma3, Qinghua Guo3
Received:
2018-02-11
Accepted:
2018-06-24
Online:
2018-08-20
Published:
2018-09-27
Contact:
Li Ainong
About author:
# Co-first authors
摘要:
科学制定生物多样性保护和恢复政策, 需要空间上连续、时间上高频的物种和生境分布以及物种迁移信息支持, 遥感是目前能满足该要求的有效技术手段。近年来, 遥感平台和载荷技术高速发展, 综合多平台、多尺度、多模式遥感技术, 开展基于站点的星空地一体化遥感观测试验, 可以对地表进行时空多维度、立体连续观测, 为生物多样性遥感监测提供了新的契机。本文总结了使用遥感技术监测生物多样性的主要方法, 回顾了典型的星空地一体化遥感观测试验。综述以往研究发现, 一方面, 现有遥感试验还缺少对生物多样性直接监测指标的观测, 另一方面, 生物多样性遥感监测方法也缺少星空地多维立体观测平台的支撑, 亟需加强两者的融合, 开展基于站点的生物多样性星空地一体化遥感监测研究。以设于我国四川王朗大熊猫国家级自然保护区内的王朗山地生态遥感综合观测试验站为例, 展示了星空地一体化遥感综合观测试验平台在生物多样性监测中的应用潜力。星空地一体化遥感观测可以提供物种和生境的综合定量信息, 与生态模型有机结合, 可以刻画生物多样性的时空格局与动态过程, 有助于挖掘过程机理, 提高生物多样性监测的信息化水平。
李爱农, 尹高飞, 张正健, 谭剑波, 南希, 马克平, 郭庆华 (2018) 基于站点的生物多样性星空地一体化遥感监测. 生物多样性, 26, 819-827. DOI: 10.17520/biods.2018052.
Ainong Li, Gaofei Yin, Zhengjian Zhang, Jianbo Tan, Xi Nan, Keping Ma, Qinghua Guo (2018) Space-air-field integrated biodiversity monitoring based on experimental station. Biodiversity Science, 26, 819-827. DOI: 10.17520/biods.2018052.
方法 Method | 传感器 Sensor | 空间分辨率 Spatial resolution | 光谱分辨 Spectral resolution | 监测内容 Monitoring contents | 参考文献 Reference |
---|---|---|---|---|---|
直接法 Direct approaches | |||||
天基遥感 Space-based | IKONOS Quickbird WorldView-2 吉林一号 Jilin-1 | 1-4 m 0.6-2.4 m 0.5 m, 2 m 0.72-2.88 m | 4波段 4 bands 4波段 4 bands 8波段 8 bands 4波段 4 bands | 冠层、物种信息 Canopy and species information | |
ADS40 AHS-160 CASI Lidar | 0.2 m 2.4 m 1 m | 4波段 4 bands 63波段 63 bands 288波段 288 bands | |||
地基遥感 Ground-based | 红外相机 Infrared camera 视频监控 Video monitoring 声景监控 Soundscape | 可见光、红外 Visible, infrared 可见光、红外 Visible and infrared | 物种活动场景 The behavior of species | ||
间接法 Indirect approaches | |||||
景观指数法 Landscape index | TM/ETM + HJ MODIS EO-1 Hyperion ASTER Sentinel-2 MSI SPOT CBERS-04 | 30-120 m 30-100 m 250-1 km 30 m 15 m, 30 m, 90 m 10 m, 20 m, 60 m 1.5 m, 6 m, 1 km 5-80 m | 7-9波段 7-9 bands 4波段 4 bands 36波段 36 bands 220波段 220 bands 14波段 14 bands 13波段 13 bands 4-6波段 4-6 bands 12波段 12 bands | 土地分类 Land cover classification | |
遥感指数法 Satellite index | 多样性指数 Biodiversity index | ||||
光谱变异性指数法 Spectral heterogeneity index | 光谱异质性指数 Spectral heterogeneity index | ||||
模型模拟法 Model simulation | TRMM/TMI FY-3C/VIRR | 5-72 km 1 km | 5波段 5 bands 10波段 10 bands | 物种分布 Species distribution |
表1 生物多样性遥感监测的主要方法
Table 1 Main methods of remote sensing for biodiversity monitoring
方法 Method | 传感器 Sensor | 空间分辨率 Spatial resolution | 光谱分辨 Spectral resolution | 监测内容 Monitoring contents | 参考文献 Reference |
---|---|---|---|---|---|
直接法 Direct approaches | |||||
天基遥感 Space-based | IKONOS Quickbird WorldView-2 吉林一号 Jilin-1 | 1-4 m 0.6-2.4 m 0.5 m, 2 m 0.72-2.88 m | 4波段 4 bands 4波段 4 bands 8波段 8 bands 4波段 4 bands | 冠层、物种信息 Canopy and species information | |
ADS40 AHS-160 CASI Lidar | 0.2 m 2.4 m 1 m | 4波段 4 bands 63波段 63 bands 288波段 288 bands | |||
地基遥感 Ground-based | 红外相机 Infrared camera 视频监控 Video monitoring 声景监控 Soundscape | 可见光、红外 Visible, infrared 可见光、红外 Visible and infrared | 物种活动场景 The behavior of species | ||
间接法 Indirect approaches | |||||
景观指数法 Landscape index | TM/ETM + HJ MODIS EO-1 Hyperion ASTER Sentinel-2 MSI SPOT CBERS-04 | 30-120 m 30-100 m 250-1 km 30 m 15 m, 30 m, 90 m 10 m, 20 m, 60 m 1.5 m, 6 m, 1 km 5-80 m | 7-9波段 7-9 bands 4波段 4 bands 36波段 36 bands 220波段 220 bands 14波段 14 bands 13波段 13 bands 4-6波段 4-6 bands 12波段 12 bands | 土地分类 Land cover classification | |
遥感指数法 Satellite index | 多样性指数 Biodiversity index | ||||
光谱变异性指数法 Spectral heterogeneity index | 光谱异质性指数 Spectral heterogeneity index | ||||
模型模拟法 Model simulation | TRMM/TMI FY-3C/VIRR | 5-72 km 1 km | 5波段 5 bands 10波段 10 bands | 物种分布 Species distribution |
图1 基于站点的星空地一体化王朗山地生态遥感综合观测试验站生物多样性监测概念设计
Fig. 1 The concepted design of biodiversity monitoring at Wanglang integrated observation and experiment station based on space-air-field integrated remote sensing observation
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