Application of Chinese high-resolution remote sensing data in urban forest resources monitoring

doi:10.13474/j.cnki.11-2246.2019.0161

Abstract

Abstract:

the goal of the paper is to meet the needs of urban forest resources of fine management and continue to expand the application range of the Chinese high-resolution remote sensing satellite. it is necessary to evaluate the quality and analyze the characteristics of Chinese high-resolution remote sensing satellite through validation. Urban forest resources monitoring is researched based on Chinese high-resolution remote sensing satellite. Moreover, the corresponding software is developed. It has high practical value and research significance to realize automatic monitoring of urban forest resources.

Key words: high-resolution remote sensing data, urban forest, monitoring

CLC Number:

P237

TAN Yaohua, WANG Changwei. Application of Chinese high-resolution remote sensing data in urban forest resources monitoring[J]. 测绘通报, 2019, 0(5): 113-115,154.

References

[1] 李世明,王志慧,韩学文,等.森林资源变化遥感监测技术研究进展[J].北京林业大学学报,2011,33(3):132-138.
[2] 林观土,王长委,韩锡君,等.全站仪在森林生态系统大样地定位中的应用[J].测绘科学,2011,36(4):242-243.
[3] 杨辰,沈润平.森林扰动遥感监测研究进展[J].国土资源遥感,2015,27(1):1-8.
[4] 李德仁,王长委,胡月明,等.遥感技术估算森林生物量的研究进展[J].武汉大学学报(信息科学版),2012,37(6):631-635.
[5] 黄建文,鞠洪波,赵峰.快鸟数据在退耕还林中应用方法的研究[J]. 林业科学研究,2004,17(3):267-271.
[6] 张勇.遥感传感器热红外数据辐射定标研究[D].北京:中国科学院研究生院,2006.
[7] 张勇,顾行发,余涛,等.中巴地球资源卫星热红外通道的交叉辐射定标[J].红外与毫米波学报,2006, 25(4):261-266.
[8] CHEN Q, LU D S, KELLER M, et al. Modeling and mapping agroforestry aboveground biomass in the Brazilian Amazon using airborne LiDAR data[J]. Remote Sensing, 2015, 8(1):21.
[9] 吴琼. 融合地形和纹理信息的多端元光谱混合分解[D].昆明:云南大学,2016.
[10] 周亦. 利用高分一号卫星数据制作数字正射影像[D].长春:吉林大学, 2014.
[11] 姜钧陶,戚浩平,申佩佩,等.国产卫星影像配准技术研究[J].测绘通报, 2017(8):85-88.
[12] 王长委,胡月明,沈德才,等.多源光学遥感数据估算桉树森林生物量[J].测绘通报, 2014(12):20-23.
[13] 谭耀华,李卫海.数字影像地形图的制作方法研究[J].广东测绘,2006(1):34-37.
[14] 朱剑云,莫罗坚,叶永昌,等.东莞森林生态系统碳储量研究[J].广东林业科技,2011,27(2):22-29.
[15] 荆鑫,舒清态,刘庆生.基于支持向量机的TM遥感影像土地利用/覆盖类型监测[J].安徽农业科学,2014(22):7631-7632.
[16] 傅文杰,洪金益,林明森.基于光谱相似尺度的支持向量机遥感土地利用分类[J].遥感技术与应用, 2006, 21(1):25-30.