[1]林春穆.基于多光谱数据初探野生长叶榧分布光谱特征[J].江苏林业科技,2022,49(01):28-33.[doi:10.3969/j.issn.1001-7380.2022.01.005]
　Lin Chunmu.Identification of distribution of wild Torreya jackii Chun in Jiangshi Nature Reserve based on spectral characteristics[J].Journal of Jiangsu Forestry Science &Technology,2022,49(01):28-33.[doi:10.3969/j.issn.1001-7380.2022.01.005]
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基于多光谱数据初探野生长叶榧分布光谱特征()
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《江苏林业科技》[ISSN:1001-7380/CN:32-1236/S]

卷:
第49卷
期数:
2022年01期
页码:
28-33
栏目:
试验研究
出版日期:
2022-03-05

文章信息/Info

Title:
Identification of distribution of wild Torreya jackii Chun in Jiangshi Nature Reserve based on spectral characteristics
文章编号:
1001-7380（2022）01-0028-06
作者:
林春穆
邵武将石省级自然保护区，福建 邵武 354011
Author(s):
Lin Chunmu
Shaowu Jiangshi Provincial Nature Reserve, Shaowu 354011, China
关键词:
长叶榧; 遥感; 无人机; 多光谱特征分布; 调查
Keywords:
Torreya jackii; Remote sensing; Unmanned aerial vehicle (UAV); Multispectral characteristic; Distribution Investigation
分类号:
S712S718.54S757.2S791.53
DOI:
10.3969/j.issn.1001-7380.2022.01.005
文献标志码:
A
摘要:
福建省邵武将石省级自然保护区为野生长叶榧的重要分布区域，对其在该区域内的分布特征及生存条件调查是长叶榧保护工作的重要依据。多光谱识别特征的构建是进行大范围调查的主要手段。该研究将无人机遥感和卫星遥感相结合，利用多光谱数据，对野生长叶榧的特异光谱特征进行分析。根据差异显著的植被指数，开发了用于区分长叶榧及其他伴生树种的新植被指数，即Y=1.292 369+0.011 708 36X3+84 849.3X4-495 776.2X8-44 008.38X10+35 988.67X12+16.241 29X14-0.201 897 2X16（X33为比值植被指数，X4为土壤调节植被指数，X8为标准差异植被指数，X10为修正非线性指数，X12为近红外百分比植被指数，X14为绿色归一化植被指数，X16为绿差植被指数）。基于Y(新植被指数)，对多光谱遥感影像进行均一化，人工判别野生长叶榧的分布特征，同时随机挑选了50个目标野生长叶榧群落，通过野外探查校正结果，准确率达92%。发现该自然保护区中共存在6个主要分布群落，均生长在研究区域内山势陡峭、峡谷深邃或多基岩裸露的陡峭坡，或山地沟谷2侧，陡坡密林中，悬崖上或溪流两旁的常绿阔叶林或次生灌木丛中，且多生长在海拔250—500 m地带，平均Y在100 000—200 000范围内。
Abstract:
Shaowu Jiangshi Provincial Nature Reserve, Fujian Province, is an important distribution area for Torreya jackii Chun. The investigation of distribution characteristics and living condition of wild T. jackii in this region provides a significant basis for conservation. The construction of multispectral identification features is the main means of a large scale investigation. In this article, the specific spectral characteristics were analyzed by using multi-spectral data combined with UAV(unmanned aerial vehicle) remote sensing and satellite remote sensing. Considering significant differences among vegetation indices, a new vegetation index, Y was developed to distinguish T. jackii and other associated tree species, equal to 1.292 369+0.011 708 36X3+84 849.3X4-495 776.2X8-44 008.38X10+35 988.67X12+16.241 29X14-0.201 897 2X16, among which, Simple Vegetation Ratio presented as X3, Soil Adjusted Vegetation Index as X4, Normalized Difference Vegetation Index as X8, Modified Non-Linear Index as X10, Infrared Percentage Vegetation Index as X12, Green Normalized Difference Vegetation Index as X14, and Green Difference Vegetation Index as X16. Based on Y, the multi-spectral remote sensing images of the Nature Reserve were homogenized, and artificial methods were used to distinguish the distribution characteristics of wild T. jackii. Meanwhile, fifty target wild T. jackii communities were randomly selected, with an accuracy of 92%, through field exploration. At a result, 6 main distribution communities were found in the Nature Reserve, within steep hills, either on steep slopes covered with an evergreen broad-leaved forest, secondary shrub, or on sides of deep gullies exposed to bedrock, or in dense forests with steep slopes, on cliffs and along streams. Wild T. jackii community distributes between 250—500 m above sea level. The average Y ranged from 100 000 to 200 000.

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备注/Memo

备注/Memo:
收稿日期：2021-11-29修回日期：2021-12-20
基金项目：福建省林业科技项目"天然长叶榧种群现状与保护对策的研究"（闽林科便函〔2019〕16号）
作者简介：林春穆（1983- ），男，福建三明人，高级工程师，硕士。主要从事自然保护区管理及野生动植物保护工作。E-mail：luomu168@163.com
更新日期/Last Update: 2022-04-04