基于无人机多光谱影像的云南松林蓄积量估测模型

邓再春; 张超; 朱夏力; 范金明; 钱慧; 李成荣; 邓再春; 张超; 朱夏力; 范金明; 钱慧; 李成荣

doi:10.11833/j.issn.2095-0756.20230263

[1]

孟宪宇. 测树学[M]. 北京: 中国林业出版社, 2002.

MENG Xianyu. Forest Mensuration[M]. Beijing: China Forestry Publishing House, 2002.

[2]

陈忠明. 基于无人机影像的杉木蓄积量反演研究[D]. 长沙: 中南林业科技大学, 2019.

CHEN Zhongming. Study on Cunninghamia lanceolata Volume Estimation Based on UAV Image[D]. Changsha: Central South University of Forestry and Technology, 2019.

[3]

刘明艳, 王秀兰, 冯仲科, 等. 基于主成分分析法的老秃顶子自然保护区森林蓄积量遥感估测[J]. 中南林业科技大学学报, 2017, 37(10): 80 − 83, 117.

LIU Mingyan, WANG Xiulan, FENG Zhongke, et al. Estimation of Laotudingzi Nature Reserve forest volume based on principal component analysis [J]. Journal of Central South University of Forestry &Technology, 2017, 37(10): 80 − 83, 117.

[4]

王海宾, 彭道黎, 高秀会, 等. 基于GF-1 PMS影像和k-NN方法的延庆区森林蓄积量估测[J]. 浙江农林大学学报, 2018, 35(6): 1070 − 1078.

WANG Haibin, PENG Daoli, GAO Xiuhui, et al. Forest stock volume estimates in Yanqing District based on GF-1 PMS images and k-NN method [J]. Journal of Zhejiang A&F University, 2018, 35(6): 1070 − 1078.

[5]

刘兆华. 基于多源遥感数据的森林蓄积量估测研究[D]. 长沙: 中南林业科技大学, 2020.

LIU Zhaohua. Research on Forest Volume Estimation Based on Multi-source Remote Sensing Data[D]. Changsha: Central South University of Forestry and Technology, 2020.

[6]

谢巧雅, 余坤勇, 邓洋波, 等. 杉木人工林冠层高度无人机遥感估测[J]. 浙江农林大学学报, 2019, 36(2): 335 − 342.

XIE Qiaoya, YU Kunyong, DENG Yangbo, et al. Height measurement of Cunninghamia lanceolata plantations based on UAV remote sensing [J]. Journal of Zhejiang A&F University, 2019, 36(2): 335 − 342.

[7]

樊江川. 无人机航空摄影测树技术研究[D]. 北京: 北京林业大学, 2014.

FAN Jiangchuan. Study of the Tree Measurement Technology by UAV Aerial Photography[D]. Beijing: Beijing Forestry University, 2014.

[8]

李赟. 基于UAV高分影像的林木冠幅提取与蓄积量估测研究[D]. 南京: 南京林业大学, 2017.

LI Yun. Study on Crown Extraction and Forest Volume Estimation Based on UAV High Resolution Image[D]. Nanjing: Nanjing Forestry University, 2017.

[9]

应兴亮. 基于无人机遥感的森林蓄积量估测研究[D]. 福州: 福建农林大学, 2017.

YING Xingliang. Estimation of Forest Volume Based on Unmanned Aerial Vehicle Remote Sensing[D]. Fuzhou: Fujian Agriculture and Forestry University, 2017.

[10]

苏迪, 高心丹. 基于无人机航测数据的森林郁闭度和蓄积量估测[J]. 林业工程学报, 2020, 5(1): 156 − 163.

SU Di, GAO Xindan. Estimation of forest canopy density and stock volume based on UAV aerial survey data [J]. Journal of Forestry Engineering, 2020, 5(1): 156 − 163.

[11]

曾霞辉. 基于无人机影像的林分蓄积量估测研究[D]. 长沙: 中南林业科技大学, 2020.

ZENG Xiahui. Study on Forest Stand Volume Estimation Based on UAV Image[D]. Changsha: Central South University of Forestry and Technology, 2020.

[12]

孙钊. 基于无人机航拍图像的杉木树冠参数提取与模型研建[D]. 北京: 北京林业大学, 2020.

SUN Zhao. Extraction of Tree Crown Parameters and Model Development Based on UAV Image[D]. Beijing: Beijing Forestry University, 2020.

[13]

于东海. 无人机航测林分及单木信息提取方法研究[D]. 北京: 北京林业大学, 2017.

YU Donghai. Research on Methods of Forest Stand & Individual Tree Information Extraction Using UAV-based Aerial Photography[D]. Beijing: Beijing Forestry University, 2017.

[14]

卯光宪. 基于无人机多光谱影像的马尾松林蓄积估测研究[D]. 贵阳: 贵州大学, 2021.

MAO Guangxian. Estimation of Pinus massoniana Forest Stock Volume Based on Multi-spectral UAV Image[D]. Guiyang: Guizhou University, 2021.

[15]

吴胜义, 王义贵, 王飞, 等. 基于多距离度量kNN模型的森林蓄积量反演[J]. 中南林业科技大学学报, 2023, 43(2): 10 − 18.

WU Shengyi, WANG Yigui, WANG Fei, et al. Forest stock volume inversion based on multi-distance metric kNN models [J]. Journal of Central South University of Forestry &Technology, 2023, 43(2): 10 − 18.

[16]

TORRES-SÁNCHEZ J M, PEÑA J M, de CASTRO F, et al. Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV [J]. Computers and Electronics in Agriculture, 2014, 103: 104 − 113.

[17]

SELLARO R, CREPY M, TRUPKIN S A, et al. Cryptochrome as a sensor of the blue/green ratio of natural radiation in Arabidopsis [J]. Plant Physiology, 2010, 154(1): 401 − 409.

[18]

GAMON J A, SURFUS J S. Assessing leaf pigment content and activity with a reflectometer [J]. New Phytologist, 1999, 143(2): 105 − 117.

[19]

HUNT E R J, CAVIGELL M, DAUGHTRYC S T, et al. Evaluation of digital photography from model aircraft for remote sensing of crop biomass and nitrogen status [J]. Preccision Agriculture, 2005, 6(4): 359 − 378.

[20]

MEYER G E, NETO J C. Verification of color vegetation indices for automated crop image application [J]. Computers and Electronics in Agriculture, 2008, 63(2): 282 − 293.

[21]

汪小钦, 王苗苗, 王绍强, 等. 基于可见光波段无人机遥感的植被信息提取[J]. 农业工程学报, 2015, 31(5): 152 − 159.

WANG Xiaoqin, WANG Miaomiao, WANG Shaoqiang, et al. Extraction of vegetation information from visible unmanned aerial vehicle images [J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(5): 152 − 159.

[22]

房秀凤, 谭炳香, 刘清旺, 等. 基于纹理信息的森林蓄积量估计[J]. 东北林业大学学报, 2017, 45(11): 21 − 25.

FANG Xiufeng, TAN Bingxiang, LIU Qingwang, et al. Estimation of forest stock volume by texture information [J]. Journal of Northeast Forestry University, 2017, 45(11): 21 − 25.

[23]

尤静妮. 基于高分遥感纹理信息的森林蓄积量估测研究[D]. 西安: 西安科技大学, 2017.

YOU Jingni. The Research on High Resolution Texture Information of Remote Sensing in Forest Volume Estimate[D]. Xi’an: Xi’an University of Science and Technology, 2017.

[24]

王月婷, 张晓丽, 杨慧乔, 等. 基于Landsat8卫星光谱与纹理信息的森林蓄积量估算[J]. 浙江农林大学学报, 2015, 32(3): 384 − 391.

WANG Yueting, ZHANG Xiaoli, YANG Huiqiao, et al. Forest volume estimation based on spectral and textural informationfrom the Landsat 8 satellite [J]. Journal of Zhejiang A&F University, 2015, 32(3): 384 − 391.

[25]

崔博文. 基于机器学习的森林蓄积量估测研究[D]. 长沙: 中南林业科技大学, 2022.

CUI Bowen. Estimation of Forest Stock Volume Based on Machine Learning [D]. Changsha: Central South University of Forestry and Technology, 2022.

[26]

刘永新. 基于遥感技术的北京市森林蓄积量估测研究[D]. 长春: 吉林大学, 2021.

LIU Yongxin. Estimation of Forest Stock Volume in Beijing Based on Remote Sensing[D]. Changchun: Jilin University, 2021.

[27]

叶子林, 周普良, 林辉, 等. 纹理特征对森林蓄积量反演模型的影响[J]. 中南林业科技大学学报, 2020, 40(9): 49 − 56.

YE Zilin, ZHOU Puliang, LIN Hui, et al. Texture features influences on inversion model of forest stock volume [J]. Journal of Central South University of Forestry &Technology, 2020, 40(9): 49 − 56.

[1]	孟宪宇. 测树学[M]. 北京: 中国林业出版社, 2002. MENG Xianyu. Forest Mensuration[M]. Beijing: China Forestry Publishing House, 2002.
[2]	陈忠明. 基于无人机影像的杉木蓄积量反演研究[D]. 长沙: 中南林业科技大学, 2019. CHEN Zhongming. Study on Cunninghamia lanceolata Volume Estimation Based on UAV Image[D]. Changsha: Central South University of Forestry and Technology, 2019.
[3]	刘明艳, 王秀兰, 冯仲科, 等. 基于主成分分析法的老秃顶子自然保护区森林蓄积量遥感估测[J]. 中南林业科技大学学报, 2017, 37(10): 80 − 83, 117. LIU Mingyan, WANG Xiulan, FENG Zhongke, et al. Estimation of Laotudingzi Nature Reserve forest volume based on principal component analysis [J]. Journal of Central South University of Forestry &Technology, 2017, 37(10): 80 − 83, 117.
[4]	王海宾, 彭道黎, 高秀会, 等. 基于GF-1 PMS影像和k-NN方法的延庆区森林蓄积量估测[J]. 浙江农林大学学报, 2018, 35(6): 1070 − 1078. WANG Haibin, PENG Daoli, GAO Xiuhui, et al. Forest stock volume estimates in Yanqing District based on GF-1 PMS images and k-NN method [J]. Journal of Zhejiang A&F University, 2018, 35(6): 1070 − 1078.
[5]	刘兆华. 基于多源遥感数据的森林蓄积量估测研究[D]. 长沙: 中南林业科技大学, 2020. LIU Zhaohua. Research on Forest Volume Estimation Based on Multi-source Remote Sensing Data[D]. Changsha: Central South University of Forestry and Technology, 2020.
[6]	谢巧雅, 余坤勇, 邓洋波, 等. 杉木人工林冠层高度无人机遥感估测[J]. 浙江农林大学学报, 2019, 36(2): 335 − 342. XIE Qiaoya, YU Kunyong, DENG Yangbo, et al. Height measurement of Cunninghamia lanceolata plantations based on UAV remote sensing [J]. Journal of Zhejiang A&F University, 2019, 36(2): 335 − 342.
[7]	樊江川. 无人机航空摄影测树技术研究[D]. 北京: 北京林业大学, 2014. FAN Jiangchuan. Study of the Tree Measurement Technology by UAV Aerial Photography[D]. Beijing: Beijing Forestry University, 2014.
[8]	李赟. 基于UAV高分影像的林木冠幅提取与蓄积量估测研究[D]. 南京: 南京林业大学, 2017. LI Yun. Study on Crown Extraction and Forest Volume Estimation Based on UAV High Resolution Image[D]. Nanjing: Nanjing Forestry University, 2017.
[9]	应兴亮. 基于无人机遥感的森林蓄积量估测研究[D]. 福州: 福建农林大学, 2017. YING Xingliang. Estimation of Forest Volume Based on Unmanned Aerial Vehicle Remote Sensing[D]. Fuzhou: Fujian Agriculture and Forestry University, 2017.
[10]	苏迪, 高心丹. 基于无人机航测数据的森林郁闭度和蓄积量估测[J]. 林业工程学报, 2020, 5(1): 156 − 163. SU Di, GAO Xindan. Estimation of forest canopy density and stock volume based on UAV aerial survey data [J]. Journal of Forestry Engineering, 2020, 5(1): 156 − 163.
[11]	曾霞辉. 基于无人机影像的林分蓄积量估测研究[D]. 长沙: 中南林业科技大学, 2020. ZENG Xiahui. Study on Forest Stand Volume Estimation Based on UAV Image[D]. Changsha: Central South University of Forestry and Technology, 2020.
[12]	孙钊. 基于无人机航拍图像的杉木树冠参数提取与模型研建[D]. 北京: 北京林业大学, 2020. SUN Zhao. Extraction of Tree Crown Parameters and Model Development Based on UAV Image[D]. Beijing: Beijing Forestry University, 2020.
[13]	于东海. 无人机航测林分及单木信息提取方法研究[D]. 北京: 北京林业大学, 2017. YU Donghai. Research on Methods of Forest Stand & Individual Tree Information Extraction Using UAV-based Aerial Photography[D]. Beijing: Beijing Forestry University, 2017.
[14]	卯光宪. 基于无人机多光谱影像的马尾松林蓄积估测研究[D]. 贵阳: 贵州大学, 2021. MAO Guangxian. Estimation of Pinus massoniana Forest Stock Volume Based on Multi-spectral UAV Image[D]. Guiyang: Guizhou University, 2021.
[15]	吴胜义, 王义贵, 王飞, 等. 基于多距离度量kNN模型的森林蓄积量反演[J]. 中南林业科技大学学报, 2023, 43(2): 10 − 18. WU Shengyi, WANG Yigui, WANG Fei, et al. Forest stock volume inversion based on multi-distance metric kNN models [J]. Journal of Central South University of Forestry &Technology, 2023, 43(2): 10 − 18.
[16]	TORRES-SÁNCHEZ J M, PEÑA J M, de CASTRO F, et al. Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV [J]. Computers and Electronics in Agriculture, 2014, 103: 104 − 113.
[17]	SELLARO R, CREPY M, TRUPKIN S A, et al. Cryptochrome as a sensor of the blue/green ratio of natural radiation in Arabidopsis [J]. Plant Physiology, 2010, 154(1): 401 − 409.
[18]	GAMON J A, SURFUS J S. Assessing leaf pigment content and activity with a reflectometer [J]. New Phytologist, 1999, 143(2): 105 − 117.
[19]	HUNT E R J, CAVIGELL M, DAUGHTRYC S T, et al. Evaluation of digital photography from model aircraft for remote sensing of crop biomass and nitrogen status [J]. Preccision Agriculture, 2005, 6(4): 359 − 378.
[20]	MEYER G E, NETO J C. Verification of color vegetation indices for automated crop image application [J]. Computers and Electronics in Agriculture, 2008, 63(2): 282 − 293.
[21]	汪小钦, 王苗苗, 王绍强, 等. 基于可见光波段无人机遥感的植被信息提取[J]. 农业工程学报, 2015, 31(5): 152 − 159. WANG Xiaoqin, WANG Miaomiao, WANG Shaoqiang, et al. Extraction of vegetation information from visible unmanned aerial vehicle images [J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(5): 152 − 159.
[22]	房秀凤, 谭炳香, 刘清旺, 等. 基于纹理信息的森林蓄积量估计[J]. 东北林业大学学报, 2017, 45(11): 21 − 25. FANG Xiufeng, TAN Bingxiang, LIU Qingwang, et al. Estimation of forest stock volume by texture information [J]. Journal of Northeast Forestry University, 2017, 45(11): 21 − 25.
[23]	尤静妮. 基于高分遥感纹理信息的森林蓄积量估测研究[D]. 西安: 西安科技大学, 2017. YOU Jingni. The Research on High Resolution Texture Information of Remote Sensing in Forest Volume Estimate[D]. Xi’an: Xi’an University of Science and Technology, 2017.
[24]	王月婷, 张晓丽, 杨慧乔, 等. 基于Landsat8卫星光谱与纹理信息的森林蓄积量估算[J]. 浙江农林大学学报, 2015, 32(3): 384 − 391. WANG Yueting, ZHANG Xiaoli, YANG Huiqiao, et al. Forest volume estimation based on spectral and textural informationfrom the Landsat 8 satellite [J]. Journal of Zhejiang A&F University, 2015, 32(3): 384 − 391.
[25]	崔博文. 基于机器学习的森林蓄积量估测研究[D]. 长沙: 中南林业科技大学, 2022. CUI Bowen. Estimation of Forest Stock Volume Based on Machine Learning [D]. Changsha: Central South University of Forestry and Technology, 2022.
[26]	刘永新. 基于遥感技术的北京市森林蓄积量估测研究[D]. 长春: 吉林大学, 2021. LIU Yongxin. Estimation of Forest Stock Volume in Beijing Based on Remote Sensing[D]. Changchun: Jilin University, 2021.
[27]	叶子林, 周普良, 林辉, 等. 纹理特征对森林蓄积量反演模型的影响[J]. 中南林业科技大学学报, 2020, 40(9): 49 − 56. YE Zilin, ZHOU Puliang, LIN Hui, et al. Texture features influences on inversion model of forest stock volume [J]. Journal of Central South University of Forestry &Technology, 2020, 40(9): 49 − 56.