[1]罗露花,陈铭杰,杨树文,等. 基于高时空分辨率数据的上栗县植被NPP估算及分析[J].西北林学院学报,2024,39(2):115-122.[doi:10.3969/j.issn.1001-7461.2024.02.15]
　LUO Lu-hua,CHEN Ming-jie,YANG Shu-wen,et al. Estimation and Analysis of Vegetation NPP in Shangli County Based on Remote Sensing Data with High Spatial and Temporal Resolution[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2024,39(2):115-122.[doi:10.3969/j.issn.1001-7461.2024.02.15]
点击复制

 基于高时空分辨率数据的上栗县植被NPP估算及分析()
分享到：

《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第39卷
期数:
2024年第2期
页码:
115-122
栏目:
出版日期:
2024-03-31

文章信息/Info

Title:
 Estimation and Analysis of Vegetation NPP in Shangli County Based on Remote Sensing Data with High Spatial and Temporal Resolution
文章编号:
1001-7461(2024)02-0115-08
作者:
 罗露花1; 2; 陈铭杰3; 4; 杨树文1; 张新5
 (1.兰州交通大学 测绘与地理信息学院，甘肃 兰州 730070；2.北京神州瑞霖环境技术研究院有限公司，北京 102200；3.中国矿业大学（北京） 地球科学与测绘工程学院，北京 100083；4.中国四维测绘技术有限公司，北京 100089；5.中国科学院 空天信息研究院，北京 100101)
Author(s):
 LUO Lu-hua1; 2; CHEN Ming-jie3; 4; YANG Shu-wen1; ZHANG Xin5
 (1.Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,Gansu,China; 2.Beijing Shenzhou Ruilin Environmental Technology Research Institure Co.,Ltd.Beijing 102200,China;3.College of Geoscience and Surveying Engineering,China University of Mining & Technology (Bejing),Beijing 100083,China; 4.China Siwei Surveing And Mapping Technology Co.,Ltd,Beijing 100089,China)
关键词:
 ; 深度学习; 改进的CASA模型; 地类图斑; NPP
Keywords:
 ; deep learning;  improved CASA model;  land type patch;  NPP
分类号:
S771.8
DOI:
10.3969/j.issn.1001-7461.2024.02.15
文献标志码:
A
摘要:
 针对目前植被净初级生产力（NPP）像素级的研究成果缺乏对地理空间细节的描述这一问题，借助中高分遥感影像，利用深度学习模型获取精确地类图斑，将栅格化结果作为改进的CASA模型的输入参数，最终估算得到上栗县不同植被类型的地块级NPP值。结果表明，1）相比于传统的只利用影像光谱特征提取的方法，深度学习技术获取的地类图斑更为准确。同时，在林地图斑的基础上，结合中分影像对林地类型进行判别，林地分类精度为91.313 4%。说明中高分遥感影像结合，能够较好地在区县尺度上开展植被的精细分类。2）以CASA模型理论为基础，对模型中的最大光年利用率的取值进行修正。同时以地类图斑的栅格化结果作为模型的输入参数，剔除了建筑区、道路、裸地等无植被覆盖区对模型计算的影响，并对估算结果与其他模型估算结果进行比较与验证，证明了试验结果的准确性。3）实现了上栗县NPP结果在空间上的精细化表达，研究结果具备良好的空间细节特征，不仅满足了面积统计、定性分析等简单需求，还可为后续碳循环、碳源/汇等研究提供客观、定量化的数据支撑。
Abstract:
 In view of the lack of geospatial details in the pixel-level research results of vegetation net primary productivity (NPP),this paper used the deep learning model to obtain accurate geo-like patches with the help of medium and high-score remote sensing images,and used the rasterization results as input parameters of the improved CASA model,and finally estimated the plot-level NPP values of different vegetation types in Shangli County of Jiangxi Province.The research results showed that 1) compared with the traditional method of extracting only image spectral features,the ground type map obtained by deep learning technology was more accurate.Based on the forest map spot,combined with the middle division image to identify the forest land type,the classification accuracy of forest land was 91.313 4%,indicating that the combination of medium and high-resolution remote sensing images can better carry out the fine classification of vegetation at the district and county scales.2) Based on the theory of CASA model,the value of the maximum light-year utilization rate in the model was corrected.The rasterization results of the terrain patterns were used as the input parameters of the model,and the influence of non-vegetated areas such as built-up areas,roads,and bare land on the model calculation was eliminated,and the estimation results were compared and verified with other model estimation results,which proved the accuracy of the experimental results.3) The results has realized the refined expression of Shangli County NPP results in space,and the research results have good spatial detail characteristics,which not only meet the simple needs of area statistics and qualitative analysis,but also provide objective and quantitative data support for subsequent carbon cycle and carbon source/sink research.

相似文献/References:

[1]李亚藏,梁彦兰,王庆成. 铅对山梨和山荆子光合作用和叶绿素荧光特性的影响[J].西北林学院学报,2012,27(05):21.
　LI Ya-cang,LIANG Yan-lan,WANG Qing-cheng. Influence of Pb on Photosynthesis and Chlorophyll Fluorescence Characteristics in Pyrus ussuriensis and Malus baccata [J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2012,27(2):21.
[2]张小咏,李佳,杨艳昭,等. 基于SWAT模型的长江源区径流模拟[J].西北林学院学报,2012,27(05):38.
　ZHANG Xiao-yong,LI Jia,YANG Yan-zhao,et al. Runoff Simulation of the Catchment of the Headwaters of the Yangtze River Based on SWAT Model[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2012,27(2):38.
[3]杨红旗,陈广辉,王金林. PVAc改性酚醛树脂制备铝木复合材料研究[J].西北林学院学报,2013,28(01):170.[doi:10.3969/j.issn.1001-7461.2013.01.34]
　YANG Hong-qi,CHEN Guang-hui,WANG Jin-lin. PF Adhesive Modified by PVAc for Manufacturing Technology of Decorative Fiberboard with Aluminum Foils[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2013,28(2):170.[doi:10.3969/j.issn.1001-7461.2013.01.34]
[4]江涛,李秀荣,谢延军,等. 微波预处理对巨尾桉木材渗透性的影响[J].西北林学院学报,2013,28(01):174.[doi:10.3969/j.issn.1001-7461.2013.01.35]
　JIANG Tao,LI Xiu-rong,XIE Yan-jun,et al. Effects of Microwave Pretreatment on the Permeability of Eucalyptus grandis×Eucalyptus urophylla[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2013,28(2):174.[doi:10.3969/j.issn.1001-7461.2013.01.35]
[5]牛晓霆,王逢瑚,曹新民. 明清家具匠师原木下料的工艺原则及措施[J].西北林学院学报,2013,28(01):178.[doi:10.3969/j.issn.1001-7461.2013.01.36]
　NIU Xiao-ting,WANG Feng-hu,CAO Xin-min. Techniques and Principles of Log Cuttings of Furniture Makers in Ming and Qing Dynasties[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2013,28(2):178.[doi:10.3969/j.issn.1001-7461.2013.01.36]
[6]吕金阳,覃卓凯,舒辉,等. 银杉木材构造美学价值[J].西北林学院学报,2013,28(01):183.[doi:10.3969/j.issn.1001-7461.2013.01.37]
　LV Jin-yang,QIN Zhuo-kai,SHU Hui,et al. Esthetical Values in Wood Structure of Cathaya argyrophylla[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2013,28(2):183.[doi:10.3969/j.issn.1001-7461.2013.01.37]
[7]杨艳红,张海敏,孙景荣. 基于传统文化视角的现代家具设计探析[J].西北林学院学报,2013,28(01):188.[doi:10.3969/j.issn.1001-7461.2013.01.38]
　YANG Yan-hong,ZHANG Hai-min,SUN Jing-rong. Study of Modern Furniture Design Based on Traditional Culture[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2013,28(2):188.[doi:10.3969/j.issn.1001-7461.2013.01.38]
[8]黄圣游,叶喜. 新中式家具“中式”传统的界定[J].西北林学院学报,2013,28(01):192.[doi:10.3969/j.issn.1001-7461.2013.01.39]
　HUANG Sheng-You,YE Xi. Definition of Traditional Element in New Chinese Style Furniture[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2013,28(2):192.[doi:10.3969/j.issn.1001-7461.2013.01.39]
[9]韩维生,赵明磊,王宏斌. 基于阈限理论的设计尺度体系[J].西北林学院学报,2013,28(01):197.[doi:10.3969/j.issn.1001-7461.2013.01.40]
　HAN Wei-sheng,ZHAO Ming-lei,WANG Hong-bin. Design Scale System Based on Threshold Theory[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2013,28(2):197.[doi:10.3969/j.issn.1001-7461.2013.01.40]
[10]宋杰,侯建军,申黎明. 按摩椅按摩头包覆层对按摩舒适性的影响[J].西北林学院学报,2013,28(01):202.[doi:10.3969/j.issn.1001-7461.2013.01.41]
　SONG Jie,HOU Jian-jun,SHEN Li-ming. Influence of Massager Coat Layer of Massage Chairs on the Degree of Comfort[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2013,28(2):202.[doi:10.3969/j.issn.1001-7461.2013.01.41]
[11]金忠明,曹姗姗,王蕾,等. 基于U-Net和分水岭算法的无人机单木树冠提取方法[J].西北林学院学报,2020,35(6):194.[doi:10.3969/j.issn.1001-7461.2020.06.27]
　JIN Zhong-ming,CAO Shan-shan,WANG Lei,et al. A Method for Individual Tree-Crown Extraction from UAV Remote Sensing Image Based on U-Net and Watershed Algorithm[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2020,35(2):194.[doi:10.3969/j.issn.1001-7461.2020.06.27]
[12]胡峻峰,张志超,赵亚凤*,等. 基于迁移学习的竹片缺陷识别[J].西北林学院学报,2021,36(5):190.[doi:10.3969/j.issn.1001-7461.2021.05.29]
　HU Jun-feng,ZHANG Zhi-chao,ZHAO Ya-feng*,et al. Defect Recognition of Bamboo Sheets Based on Transfer Learning[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2021,36(2):190.[doi:10.3969/j.issn.1001-7461.2021.05.29]
[13]李华玉,陈永富,陈巧,等. 基于遥感技术的森林树种识别研究进展[J].西北林学院学报,2021,36(6):220.[doi:10.3969/j.issn.1001-7461.2021.06.31]
　LI Hua-yu,CHEN Yong-fu,CHEN Qiao,et al. Research Progress of Forest Tree Species Identification Based on Remote Sensing Technology[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2021,36(2):220.[doi:10.3969/j.issn.1001-7461.2021.06.31]
[14]刘子轩,黄佳琢,李子微,等. 基于AE模型的县域生态敏感性评价——以甘肃省靖远县为例[J].西北林学院学报,2023,38(4):275.[doi:10.3969/j.issn.1001-7461.2023.04.34]
　LIU Zi-xuan,HUANG Jia-zhuo,LI Zi-wei,et al. Evaluation of Ecological Sensitivity at the County Scale Based on AE Model——A Case Study of Jingyuan County,Gansu Province[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2023,38(2):275.[doi:10.3969/j.issn.1001-7461.2023.04.34]
[15]苏雷,陈伟峰,李俊英,等. 基于绿视率和NDVI的城市街道景观分析与优化研究[J].西北林学院学报,2024,39(2):256.[doi:10.3969/j.issn.1001-7461.2024.02.32]
　SU Lei,CHEN Wei-feng,LI Jun-ying,et al. Analysis and Optimization of Urban Street Landscape Based on GVI and NDVI[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2024,39(2):256.[doi:10.3969/j.issn.1001-7461.2024.02.32]

备注/Memo

备注/Memo:
 收稿日期：2023-02-02修回日期：2023-06-28
基金项目：国家自然科学基金（42161069）。
第一作者：罗露花，硕士。研究方向：生态遥感。E-mail:luoluhua_hua@163.com
更新日期/Last Update: