基于无人机影像的天山云杉树冠截留雪水当量估算分析

米尔扎提·依明; 比拉力·依明; 刘素红; 伊加提·亚尔买买提; 玛丽亚木·玛木提

doi:10.13568/j.cnki.651094.651316.2020.11.02.0002

您当前的位置：

首页 >

文章列表页 >

基于无人机影像的天山云杉树冠截留雪水当量估算分析

生态·资源·环境 | 更新时间：2026-01-21

- 基于无人机影像的天山云杉树冠截留雪水当量估算分析
- 基于无人机影像的天山云杉树冠截留雪水当量估算分析
- 新疆大学学报（自然科学版中英文） 2022年39卷第1期页码：67-73
- 作者机构：
  
  1. 新疆大学资源与环境科学学院绿洲生态教育部重点实验室
  2. 北京师范大学地理学部
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目（41861053）
- DOI：10.13568/j.cnki.651094.651316.2020.11.02.0002
  中图分类号： S791.18;TP751
- 纸质出版：2022
- 稿件说明：
移动端阅览
[1]米尔扎提·依明,比拉力·依明,刘素红,等.基于无人机影像的天山云杉树冠截留雪水当量估算分析[J].新疆大学学报(自然科学版)(中英文),2022,39(01):67-73.
[1]米尔扎提·依明,比拉力·依明,刘素红,等.基于无人机影像的天山云杉树冠截留雪水当量估算分析[J].新疆大学学报(自然科学版)(中英文),2022,39(01):67-73. DOI： 10.13568/j.cnki.651094.651316.2020.11.02.0002.

DOI：10.13568/j.cnki.651094.651316.2020.11.02.0002.

摘要

本文以新疆乌鲁木齐县为研究区

利用无人机对降雪后的云杉林进行快速成像并利用最大似然法对不同角度下的无人机影像进行云杉降雪截留面积提取

提取精度达到95.7%.通过成像距离和不同距离投影面积拟合曲线

并借助拟合方程和几何数学原理计算出了三组云杉表面积和树冠截留雪的实际面积

分别为24.69 m2、36.67 m2和27.05 m2

雪盖面积在表面积中所占的比例为42.5%、50.5%和79%.最终利用本团队通过模拟降雪的方式得出的云杉树苗雪盖面积和树冠截留雪水当量二者之间的关系

计算得出三组单株云杉树冠截留雪水当量

分别为2.324 L、7.267 L和9.683 L.此实验对快速估算云杉降雪截留面积及天山云杉冠层降雪截留雪水当量研究提供了地面数据支撑和资料补充

有效地提高了无人机影像在树冠降雪截留面积估算中的应用效率.

Abstract

Urumqi county in Xinjiang was taken as the study area in this paper

by using drones to quickly image the spruce forest after snowfall and the maximum likelihood method to extract the spruce snow interception area from drone images at different angles

then the extraction accuracy reaches 95.7%. Through imaging distances and fitting curve of projection area with different distances

and with the help of fitting equations and geometric mathematical principles

three groups of spruce surface area and the actual area of snow intercepted by the canopy were calculated

which were 24.69 m2

36.67 m2 and 27.05 m2

respectively. The proportion of snow cover area in the surface area were 42.5%

50.5% and 79%

respectively. Finally

using the relationship between the snow cover area of spruce saplings and the canopy intercepted snow water equivalent obtained by our team through simulating snowfall

calculated the intercepted snow melt volume of three groups of individual plants were 2.324 L

7.267 L and 9.683 L

respectively. This experiment provides ground data support and data supplement for the rapid estimation of spruce snow interception area estimation and Picea schrenkiana canopy snow interception research

which effectively improves the application efficiency of UAV images in the estimation of canopy snow interception area.

关键词

Keywords

references

ADAM J C, HAMLET A F, LETTENMAIER D P, et al. Implications of global climate change for snowmelt hydrology in the twenty-first century[J]. Hydrological Processes, 2009, 23(7):962-972.

范昊明,武敏,周丽丽,等.融雪侵蚀研究进展[J].水科学进展, 2013, 24(1):146-152.

SCHELKER J, KUGLEROVA L, EKLOF K, et al. Hydrological effects of clear-cutting in aboreal forest-snowpack dynamics,snowmelt and streamflow responses[J]. Journal of Hydrology, 2013, 484(12):105-114.

ZHUANG G, XIE H, YAO T, et al. Quantitative water resources assessment of Qinghai Lake basin using snowmelt runoff model(SRM)[J]. Journal of Hydrology, 2014, 519(8):976-987.

SUZUKI K, NAKAI Y. Canopy snow influence on water and energy balances in a coniferous forest plantation in northern Japan[J].Journal of Hydrology, 2008, 352(12):126-138.

LUNDBERG A, KOIVUSALO H. Estimating winter evaporation in boreal forests with operational snow course data[J]. Hydrological Processes, 2003, 17(8):1479-1493.

HEDSTROM N R, POMEROY J W. Measurements and modelling of snow interception in the boreal forest[J]. Hydrological Processes, 1998, 12(10):1611-1625.

张庆费,周晓峰,蔡体久,等.黑龙江省中部地区森林对融雪径流的影响[J].植物资源与环境, 1994, 3(3):36-40.

VARHOLA A, COOPS C N, WEILER M, et al. Forest canopy effects on snow accumulation and ablation:an integrative review of empirical results[J]. Journal of Hydrology, 2010, 392(3):219-233.

MOESERA D, MORSDORF F, JONAS T, et al. Novel forest structure metrics from airborne LiDAR data for improved snow interception estimation[J]. Agricultural and Forest Meteorology, 2015, 208:40-49.

施建成,熊川,蒋玲梅.雪水当量主被动微波遥感研究进展[J].中国科学(地球科学), 2016, 46(4):529-543.

黄镇,崔彩霞.基于EOS/MODIS的新疆积雪监测[J].冰川冻土, 2006, 28(3):343-347.

曹云刚,刘闯.一种简化的MODIS亚像元积雪信息提取方法[J].冰川冻土, 2006, 28(4):562-567.

夏坤,罗勇,李伟平,等. BATS-SAST模式对积雪深度的模拟试验与改进[J].冰川冻土, 2009, 31(5):871-879.

辛颖.阿什河上游天然次生林与人工林小流域水文生态效益对比研究[D].哈尔滨:东北林业大学, 2011.

车涛,李新,高峰.青藏高原积雪深度和雪水当量的被动微波遥感反演[J].冰川冻土, 2004, 26(3):363-368.

孙之文,施建成,蒋玲梅,等.被动微波遥感反演中国西部地区雪深、雪水当量算法初步研究[J].地球科学进展, 2006, 21(12):1363-1369.

李新,车涛.积雪被动微波遥感研究进展[J].冰川冻土, 2007, 29(3):487-496.

汪左,冯学智,肖鹏峰,等.基于合成孔径雷达图像的山区雪水当量反演[J].南京大学学报(自然科学版), 2015, 51(5):996-1004.

肖雄新,张廷军.基于被动微波遥感的积雪深度和雪水当量反演研究进展[J].地球科学进展, 2018, 33(6):590-605.

范承啸,韩俊,熊志军,等.无人机遥感技术现状与应用[J].测绘科学, 2009, 34(5):214-215.

张园,陶萍,梁世祥,等.无人机遥感在森林资源调查中的应用[J].西南林业大学学报, 2011, 31(3):49-53.

吴金胜,刘红利,张锦水,等.无人机遥感影像面向对象分类方法估算市域水稻面积[J].农业工程学报, 2018, 34(1):70-77.

张宏鸣,谭紫薇,韩文霆,等.基于无人机遥感的玉米株高提取方法[J].农业机械学报, 2019, 50(5):248-257.

甄贞,李响,修思玉,等.基于标记控制区域生长法的单木树冠提取[J].东北林业大学学报, 2016, 44(10):22-29.

周艳飞,张绘芳,李霞,等.基于高分辨遥感数据的胡杨与柽柳树冠提取[J].遥感技术与应用, 2015, 30(3):510-517.

王毅帆,谢玲,常顺利,等.天山云杉雪盖面积估算树冠截留雪水当量实验分析[J].干旱区研究, 2020, 37(2):341-348.

阿吉古丽·沙依提.乌鲁木齐城市气象研究进展[J].沙漠与绿洲气象, 2011, 5(5):55-60.

郑明国,蔡强国.一种新的土地覆盖类别面积估计方法及其在最大似然分类法中的应用[J].资源科学, 2007, 29(3):214-220.

STRAHLER A H. The use of prior probabilities in maximum likelihood classification of remotely sensed data[J]. Remote Sensing of Environment, 1980, 10(2):135-163.

XIA H F, YANG Y Q, DING F. Recursive least-squares estimation for multivariable systems based on the maximum likelihood principle[J]. International Journal of Control, Automation and Systems, 2020, 18(2):503-512.

郝帅,张毓涛,刘端,等.不同郁闭度天山云杉林林冠截留量及穿透雨量特征研究[J].干旱区地理, 2009, 32(6):917-923.

DOZIER J. Spectral signature of alpine snow cover from the landsat thematic mapper[J]. Remote Sensing of Environment, 1989,28:9-22.

HARRISON A R, LUCUS R M. Multi-spectral classification of snow using NOAA AVHRR imagery[J]. International Journal of Remote Sensing, 1989, 10(4/5):907-916.

ANDREADIS K M, STORCK P, LETTENMAIER D P. Modeling snow accumulation and ablation processes in forested environments[J]. Water Resources Research, 2009, 45(5):1-13.

BERNIER P Y, SWANSON R H. The influence of opening size on snow evaporation in the forests of the Alberta foothills[J].Canadian Journal of Forest Research, 1993, 23(2):239-244.

SCHMIDT R A, TROENDLE C A, MEIMAN J R, et al. Sublimation of snowpacks in subalpine conifer forests[J]. Canadian Journal of Forest Research, 1998, 28(4):501-513.

ROTH T R, NOLIN A W. Forest impacts on snow accumulation and ablation across an elevation gradient in a temperate montane environment[J]. Hydrology and Earth System Sciences, 2017, 21(11):5427.

FUJIHARA Y, TAKASE K, CHONO S, et al. Influence of topography and forest characteristics on snow distributions in a forested catchment[J]. Journal of Hydrology, 2017, 546:289-298.

MONTESI J, ELDER K, SCHMIDT R A, et al. Sublimation of intercepted snow within a subalpine forest canopy at two elevations[J]. Journal of Hydrometeorology, 2004, 5(5):763-773.

POMEROY J W, PARVIAINEN J, HEDSTORM N, et al. Coupled modelling of forest snow interception and sublimation[J].Hydrological Processes, 2015, 12(15):2317-2337.

ANDERTON S P, WHITE S M, ALVERA B, et al. Evaluation of spatial variability in snow water equivalent for a high mountain catchment[J]. Hydrological Processes, 2004, 18(3):435-453.

浏览量

227

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据