无人机监测东北黑土区切沟形态的最优参数配置

唐杰; 谢云; 刘川; 张岩

doi:10.13870/j.cnki.stbcxb.2024.05.015

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无人机监测东北黑土区切沟形态的最优参数配置

更新时间：2025-02-18

- 无人机监测东北黑土区切沟形态的最优参数配置
- Optimal Parameter Configuration of UAV for Measuring Gully Morphology in Black Soil Region of Northeast China
- 水土保持学报 2024年38卷第5期页码：49-58
- 作者机构：
  
  1. 北京师范大学环境与生态前沿交叉研究院,广东,珠海,519087
  2. 北京师范大学地理科学学部,北京,100875
  3. 北京师范大学文理学院,广东,珠海,519087
  4. 北京林业大学水土保持学院,北京,100083
- 作者简介：
  
  [ "唐杰(1992—),男,博士,主要从事土壤侵蚀与水土保持研究。E-mail:tangjie@bnu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金青年基金项目(42307425);国家重点研发计划项目(2021YFD1500700);中国博士后科学基金面上项目(2023M740286)
- DOI：10.13870/j.cnki.stbcxb.2024.05.015
  中图分类号： S157.1
- 纸质出版：2024
- 稿件说明：
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唐杰, 谢云, 刘川, 等. 无人机监测东北黑土区切沟形态的最优参数配置[J]. 水土保持学报, 2024,38(5):49-58.

TANG Jie, XIE Yun, LIU Chuan, et al. Optimal Parameter Configuration of UAV for Measuring Gully Morphology in Black Soil Region of Northeast China[J]. 2024, 38(5): 49-58.
唐杰, 谢云, 刘川, 等. 无人机监测东北黑土区切沟形态的最优参数配置[J]. 水土保持学报, 2024,38(5):49-58. DOI： 10.13870/j.cnki.stbcxb.2024.05.015.

TANG Jie, XIE Yun, LIU Chuan, et al. Optimal Parameter Configuration of UAV for Measuring Gully Morphology in Black Soil Region of Northeast China[J]. 2024, 38(5): 49-58. DOI： 10.13870/j.cnki.stbcxb.2024.05.015.

摘要

[目的] 东北黑土区切沟侵蚀不断蚕食耕地资源

威胁我国粮食安全。无人机技术的发展为沟蚀监测提供有效手段

但获取数据分辨率越高耗时越长

如何配置无人机参数

使其既能满足精度要求又能提高航摄效率是当前需要解决的问题。[方法] 选择东北漫川漫岗区的鹤北流域为研究区

以实地断面测量数据为验证值

通过评估不同分辨率、不同飞行航向及不同无人机数据提取的切沟参数精度

探究不同无人机参数配置的适用条件。[结果] (1)与实测值相比

分辨率1 cm数据提取的切沟参数精度最高

所有参数的平均百分误差<5.0%

适用于典型切沟发展过程监测;分辨率3

5 cm数据提取的切沟宽度平均误差百分比<10.0%

提取的切沟深度平均误差随切沟深度变小而增大

切沟深度>1 m时

平均百分误差<10.0%

适用于区域范围快速抽样调查;8

10 cm分辨率提取的切沟深度和截面积平均百分误差>40.0%

适用于切沟分布位置和平面参数提取;(2)固定翼无人机垂直地面获取的正摄数据虽在提取切沟二维形态特征指标方面效果略好

但在三维形态特征指标方面不如多旋翼无人机倾斜摄影测量获取的数据;(3)单航向倾斜摄影测量数据提取的切沟平均深度和截面积平均百分误差是交叉双航向数据平均百分误差的1.7

1.9倍。交叉航向获取的无人机数据提取切沟参数精度更高

且细节更丰富。[结论] 倾斜摄影测量和交叉双航向航测能显著提高获取的切沟三维参数精度

1~3

3~5 cm分辨率可分别用于典型切沟监测和大范围切沟侵蚀快速调查。单航向正摄摄影测量获取的5 cm以上分辨率数据适用于提取切沟位置和平面参数。

Abstract

[Objective]Severe gully erosion in the black soil region of Northeast China is continuously eroding arable land resources

posing a threat to the country's food security. The development of unmanned aerial vehicle (UAV) technology provides an effective way for monitoring gully erosion

but the higher the resolution of data obtained

the longer it takes. The challenge lies in configuring UAV parameters to simultaneously meet accuracy requirements and enhance aerial photography efficiency. [Methods]The Hebei catchment in the rolling hills region of Northeast China was chosen as the study area. Using actual cross-section measurement data as a validation value

the accuracy of gully parameters extracted from UAV data at different resolutions

flight directions

and types was assessed to explore the suitable conditions for various UAV parameter configurations. [Results] (1) Compared with field measurement data

data at a 1 cm resolution extracted the gully parameters with the highest accuracy

the average percentage error for all parameters was less than 5.0%

suitable for monitoring typical gully development processes. Data extracted at 3 cm and 5 cm resolutions had an average percentage error of less than 10.0% for gully width

and the average error increased as gully depth decreased. For gullies deeper than 1 m

the average percentage error was less than 10.0%

suitable for rapid regional sampling surveys. Data extracted at resolutions of 8 cm and 10 cm had average percentage errors greater than 40.0% for gully depth and cross-sectional area

suitable for extracting gully distribution locations and planar parameters. (2) Although fixed-wing UAV obtaining data slightly outperformed in extracting two-dimensional gully features

multirotor UAV using oblique photogrammetry were better in extracting three-dimensional gully features. (3) The average percentage errors for gully depth and cross-sectional area extracted from single-direction oblique photogrammetry data were 1.7 and 1.9 times those from cross-direction data. UAV data obtained from cross-direction flights provided higher accuracy in gully parameter extraction and richer details. [Conclusion] Setting UAV parameters to a resolution of less than 5 cm and obtaining cross-direction oblique aerial photography data can meet the accuracy requirements for monitoring gully morphology in the black soil region of Northeast China.

关键词

Keywords

references

刘宝元,杨扬,陆绍娟.几个常用土壤侵蚀术语辨析及其生产实践意义[J].中国水土保持科学,2018,16(1):9-16. LIU B Y, YANG Y, LU S J. Discriminations on common soil erosion terms and their implications for soil and water conservation[J].Science of Soil and Water Conservation,2018,16(1):9-16.

伍永秋,刘宝元.切沟、切沟侵蚀与预报[J].应用基础与工程科学学报,2000,8(2):134-142. WU Y Q, LIU B Y. Gully, gully erosion and prediction[J].Journal of Basic Science and Engineering,2000,8(2):134-142.

FRANKL A, DECKERS J, MOULAERT L,et al.Integrated solutions for combating gully erosion in areas prone to soil piping:Innovations from the drylands of northern Ethiopia[J].Land Degradation and Development,2016,27(8):1797-1804.

POESEN J, NACHTERGAELE J, VERSTRAETEN G, et al. Gully erosion and environmental change: Importance and research needs[J].Catena,2003,50(2/3/4):91-133.

HAREGEWEYN N, MELESSE B, TSUNEKAWA A, et al. Reservoir sedimentation and its mitigating strategies: A case study of Angereb Reservoir (NW Ethiopia)[J].Journal of Soils and Sediments,2012,12(2):291-305.

王琼,方怒放.切沟形态特征无人机倾斜摄影测量[J].农业工程学报,2022,38(8):107-114. WANG Q, FANG N F. Monitoring the morphological characteristics of gully using UAV oblique photogrammetry[J].Transactions of the Chinese Society of Agricultural Engineering,2022,38(8):107-114.

张光辉.切沟侵蚀研究进展与展望[J].水土保持学报,2020,34(5):1-13. ZHANG G H.Advances and prospects for gully erosion researches[J].Journal of Soil and Water Conservation,2020,34(5):1-13.

李镇,张岩,尚国琲,等.西黄土区切沟断面特征及体积估算模型[J].农业工程学报,2018,34(6):152-159. LI Z, ZHANG Y, SHANG G B, et al. Characterizing gully cross section and modelling gully volume in hilly loess region of western Shanxi Province[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(6):152-159.

刘刚,谢云,王大安,等.基于抽样调查的区域沟蚀强度评价:以东北地区为例[J].中国水土保持,2020(1):56-59. LIU G, XIE Y, WANG D A, et al. Evaluation on regional gully erosion intensity based on sampling survey[J].Soil and Water Conservation in China,2020(1):56-59.

刘宝元,刘刚,王大安,等.区域沟蚀野外调查方法:以东北地区为例[J].中国水土保持科学,2018,16(4):34-40. LIU B Y, LIU G, WANG D A, et al. A field survey method for regional gully erosion:A case study in northeastern China[J].Science of Soil and Water Conservation,2018,16(4):34-40.

张姣,郑粉莉,温磊磊,等.利用三维激光扫描技术动态监测沟蚀发育过程的方法研究[J].水土保持通报,2011,31(6):89-94. ZHANG J, ZHENG F L, WEN L L, et al. Methodology of dynamic monitoring gully erosion process using 3D laser scanning technology[J].Bulletin of Soil and Water Conservation,2011,31(6):89-94.

胡刚,伍永秋,刘宝元,等.GPS和GIS进行短期沟蚀研究初探:以东北漫川漫岗黑土区为例[J].水土保持学报,2004,18(4):16-19. HU G, WU Y Q, LIU B Y, et al. Preliminary research on short-term channel erosion using GPS and GIS[J].Journal of Soil Water Conservation,2004,18(4):16-19.

李佳佳,熊东红,卢晓宁,等.基于RTK-GPS技术的干热河谷冲沟沟头形态特征[J].山地学报,2014,32(6):706-716. LI J J, XIONG D H, LU X N, et al. Morphological characteristics of the gully head in dry-hot valley based on the RTK-GPS technology[J].Mountain Research,2014,32(6):706-716.

GÓMEZ-GUTIÉRREZ Á, SCHNABEL S, BERENGUER-SEMPERE F, et al. Using 3D photo-reconstruction methods to estimate gully headcut erosion[J].Catena,2014,120:91-101.

王文娟,邓荣鑫,张树文,等.东北典型黑土区侵蚀沟发育演化特征分析[J].地理与地理信息科学,2019,35(4):105-110. WANG W J, DENG R X, ZHANG S W, et al. Development evolution characteristics of gully erosion in typical black soil region of Northeast China[J].Geography and Geo-Information Science,2019,35(4):105-110.

李镇,张岩,姚文俊,等.基于QuickBird影像估算晋西黄土区切沟发育速率[J].农业工程学报,2012,28(22):141-148. LI Z, ZHANG Y, YAO W J, et al. Estimating gully development rates in Hilly Loess Region of Western Shanxi Province based on QuickBird images[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(22):141-148.

张岩,高驰宇,杨瑾,等.基于历史卫星影像估算黄土丘陵区冲沟发育速率[J].农业工程学报,2022,38(1):109-116. ZHANG Y, GAO C Y, YANG J, et al. Estimating the gully growth rate in the hilly Loess Plateau using historical satellite images[J].Transactions of the Chinese Society of Agricultural Engineering,2022,38(1):109-116.

唐杰,张岩,范聪慧,等.使用高分遥感立体影像提取黄土丘陵区切沟参数的精度分析[J].农业工程学报,2017,33(18):111-117. TANG J, ZHANG Y, FAN C H, et al. Accuracy assessment of gully morphological parameters from high resolution remote sensing stereoscopic satellite images on hilly Loess Plateau[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(18):111-117.

赵春敬,焦菊英,税军锋,等.西藏中南部侵蚀沟形态无人机航测与传统地面测量的对比分析[J].水土保持通报,2019,39(5):120-127. ZHAO C J, JIAO J Y, SHUI J F, et al. Comparative analysis on morphological characteristics of erosion gullies measured by an unmanned aerial vehicle and traditional ground survey in south central Tibet[J].Bulletin of Soil and Water Conservation,2019,39(5):120-127.

PETER K D, D’OLEIRE-OLTMANNS S, RIES J B, et al. Soil erosion in gully catchments affected by land-levelling measures in the Souss Basin, Morocco, analysed by rainfall simulation and UAV remote sensing data[J].Catena,2014,113:24-40.

HOSSEINALIZADEH M, KARIMINEJAD N, CHEN W, et al. Spatial modelling of gully headcuts using UAV data and four best-first decision classifier ensembles (BFTree, Bag-BFTree, RS-BFTree, and RF-BFTree)[J].Geomorphology,2019,329:184-193.

GOODWIN N R, ARMSTON J, STILLER I, et al. Assessing the repeatability of terrestrial laser scanning for monitoring gully topography: A case study from Aratula,Queensland,Australia[J].Geomorphology,2016,262:24-36.

杨丽娟,王春梅,张春妹,等.基于遥感影像研究极端暴雨条件下新成切沟发生发展规律[J].农业工程学报,2022,38(6):96-104. YANG L J, WANG C M, ZHANG C M, et al. Occurrence and development of newly formed gullies under extreme rainstorm conditions using remote sensing images[J].Transactions of the Chinese Society of Agricultural Engineering,2022,38(6):96-104.

TANG J, LIU G, XIE Y, et al. Effect of topographic variations and tillage methods on gully erosion in the black soil region: A case-study from Northeast China[J].Land Degradation and Development,2022,33(18):3786-3800.

李姗.水利部组织完成东北黑土区侵蚀沟调查(节选)[J].水利科学与寒区工程,2023,6(8):e157. LI S. The Ministry of Water Resources organized the investigation of erosion gully in the black soil area of Northeast China (excerpt)[J].Hydro Science and Cold Zone Engineering,2023,6(8):e157.

ZHANG T Y, LIU G, DUAN X W, et al. Spatial distribution and morphologic characteristics of gullies in the Black Soil Region of Northeast China: Hebei watershed[J].Physical Geography,2016,37(3/4):228-250.

杨卫,刘晓阳.利用无人机获取林区DSM的方法[J].资源信息与工程,2019,34(6):66-68. YANG W, LIU X Y. Method of obtaining DSM in forest area by UAV[J].Resource Information and Engineering,2019,34(6):66-68.

LI Z, ZHANG Y, ZHU Q K, et al. Assessment of bank gully development and vegetation coverage on the Chinese Loess Plateau[J].Geomorphology,2015,228:462-469.

冯林,李斌兵.利用无人机倾斜影像与GCP构建高精度侵蚀沟地形模型[J].农业工程学报,2018,34(3):88-95. FENG L, LI B B. Establishment of high precision terrain model of eroded gully with UAV oblique aerial photos and ground control points[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(3):88-95.

宋晓鹏,张岩,王志强,等.无人机摄影测量提取黄土高原切沟参数精度分析[J].北京师范大学学报(自然科学版),2021,57(5):606-612. SONG X P, ZHANG Y, WANG Z Q, et al. Accuracy of gully morphological parameters extracted by UAV photogrammetry in the Loess Plateau[J].Journal of Beijing Normal University (Natural Science),2021,57(5):606-612.

孙杰,谢文寒,白瑞杰.无人机倾斜摄影技术研究与应用[J].测绘科学,2019,44(6):145-150. SUN J, XIE W H, BAI R J. UAV oblique photogrammetric system and its application[J].Science of Surveying and Mapping,2019,44(6):145-150.

胡晋茹,赖林枫,芦治源,等.消费级无人机倾斜摄影测量监测弃土场的精度评估[J].测绘通报,2023(11):36-41. HU J R, LAI L F, LU Z Y, et al. Accuracy evaluation of consumer UAV tilt photogrammetry for spoil area monitoring[J].Bulletin of Surveying and Mapping,2023(11):36-41.

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