| 国内外林业遥感应用研究概况与展望 |
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| 引用本文： | 吴楠,李增元,廖声熙,庞勇,徐斌.国内外林业遥感应用研究概况与展望[J].世界林业研究,2017,30(6):34-40. |
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| 作者姓名： | 吴楠 李增元 廖声熙 庞勇 徐斌 |
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| 作者单位： | 1.中国林业科学研究院资源昆虫研究所, 昆明 650224 |
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| 基金项目： | 中央级公益性科研院所基金“基于林分空间结构的林木可视化模拟技术研究（CAFYBB2017SZ005）”。 |
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| 摘 要： | 林业遥感技术不仅可以直接获取森林资源管理的数据，更能进一步揭示森林经营管理的生态影响。伴随合成孔径雷达、激光雷达、高光谱、热红外等高分辨率遥感设备和技术的快速发展，遥感在森林生物生态属性上的定量和定性测绘与监测方面发展十分迅速。文中重点介绍近几年国内外遥感在森林分布、组成、结构、动态和干扰、生产力监测上的应用概况，并从拓展林业遥感研究目标和维度、加大投入、提升平台建设能力和重点关注林业工程及数字林业规划等方面提出林业遥感未来的发展趋势。
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| 关 键 词： | 林业遥感技术 森林资源管理 研究进展 |
| 收稿时间： | 2017/5/23 0:00:00 |
| 修稿时间： | 2017/6/25 0:00:00 |
Current Situation and Prospect of Research on Application of Remote Sensing to Forestry |
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| Wu Nan,Li Zengyuan,Liao Shengxi,Pang Yong and Xu Bin.Current Situation and Prospect of Research on Application of Remote Sensing to Forestry[J].World Forestry Research,2017,30(6):34-40. |
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| Authors: | Wu Nan Li Zengyuan Liao Shengxi Pang Yong and Xu Bin |
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| Institution: | 1.Research Institute of Resource Insects, Chinese Academy of Forestry, Kunming 650224, China2.Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China3.Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China |
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| Abstract: | Remote sensing technologies can gain a direct access to forest management data, and also reveal the ecological impacts of forest management. With the rapid development of high-resolution remote sensing equipment and technologies such as synthetic aperture radar, lidar, hyperspectral and thermal infrared facilities, remote sensing has been increasingly applied for qualitative and quantitative mapping and monitoring of forest biological and ecological attributes. This paper mainly introduced the domestic and international applications of remote sensing in forest distribution, composition, structure, dynamics, disturbance and productivity in recent years. In addition, the future development trends of forestry remote sensing were put forward, including expanding the target and dimension of forestry remote sensing research, increasing investment, improving the capacity of platform construction, and putting focus on the forestry engineering and digital forestry planning. |
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| Keywords: | remote sensing technology forest resources management forestry research progress |
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