Based on WebGIS platform developing remote sensing information systems of forest canopy density inversion

YAO Zhi; ZHANG Xiaoli

doi:10.11833/j.issn.2095-0756.2015.03.009

Volume 32 Issue 3

May 2015

Turn off MathJax

Article Contents

Article Navigation > Journal of Zhejiang A&F University > 2015 > 32(3): 392-398

YAO Zhi, ZHANG Xiaoli. Based on WebGIS platform developing remote sensing information systems of forest canopy density inversion[J]. Journal of Zhejiang A&F University, 2015, 32(3): 392-398. doi: 10.11833/j.issn.2095-0756.2015.03.009

Citation:

YAO Zhi, ZHANG Xiaoli. Based on WebGIS platform developing remote sensing information systems of forest canopy density inversion[J]. Journal of Zhejiang A&F University, 2015, 32(3): 392-398. doi: 10.11833/j.issn.2095-0756.2015.03.009

Based on WebGIS platform developing remote sensing information systems of forest canopy density inversion

doi: 10.11833/j.issn.2095-0756.2015.03.009

YAO Zhi,
ZHANG Xiaoli^,

1.
Forestry College，Beijing Forestry University，Beijing 100083，China

Received Date: 2014-11-12
Rev Recd Date: 2014-12-11
Publish Date: 2015-06-20

Abstract

With Landsa 8 OLI data, field investigation of the sample data and the ASTER GDEM elevation data as the foundation, this paper views Jiangle County, Sanming City, Fujian Province as the study area, and selects the stepwise-linear regression model, the backward-linear regression model and partial-least squares model to study the crown density distribution of the study area. On the ArcGIS Server for the. NET development （ADF） platform, this system combines with the spatial database technology, and sets up a distributed information system on forest crown density inversion which is based on B/S model, so that this system can carry out basic GIS operations, data query, the model factor calculation, forest canopy density model implementation, data editing and output functions, etc. Basically the system can meet the regional forest resources structure parameters analysis especially the unity of the crown density information management and processing requirements, and supports a platform for structural parameters, data normalization management and forest resources sharing services for Jiangle County, Sanming City.［Ch, 6 fig. 15 ref.］
- forest mensuration,
- forest structure parameters,
- canopy density inversion,
- remote sensing,
- WebGIS,
- information management

Relative Article

[1]	XIE Qiaoya, YU Kunyong, DENG Yangbo, LIU Jian, FAN Huadong, LIN Tongzhou. Height measurement of Cunninghamia lanceolata plantations based on UAV remote sensing . Journal of Zhejiang A&F University, 2019, 36(2): 335-342. doi: 10.11833/j.issn.2095-0756.2019.02.015
[2]	ZHOU Jingping, LI Cunjun, HU Haitang, TAO Huan, PENG Dailiang, XIE Chunchun, GE Yan. Optimal resolution selection for monitoring forest vegetation using remote sensing images . Journal of Zhejiang A&F University, 2018, 35(4): 716-723. doi: 10.11833/j.issn.2095-0756.2018.04.017
[3]	DONG Xinyu, FAN Wenyi, TIAN Tian. Object-based forest type classification with ZY-3 remote sensing data . Journal of Zhejiang A&F University, 2016, 33(5): 816-825. doi: 10.11833/j.issn.2095-0756.2016.05.013
[4]	WANG Yueting, ZHANG Xiaoli, YANG Huiqiao, WANG Shuhan, BAI Jinting. Forest volume estimation based on spectral and textural information from the Landsat 8 satellite . Journal of Zhejiang A&F University, 2015, 32(3): 384-391. doi: 10.11833/j.issn.2095-0756.2015.03.008
[5]	JIANG Yunjiao, HAN Yiqun, LI Mingyang, WANG Yixiao. Remote sensing based estimation and spatial distribution of tree species diversity for Zijin Mountain . Journal of Zhejiang A&F University, 2015, 32(4): 509-515. doi: 10.11833/j.issn.2095-0756.2015.04.003
[6]	ZHANG Jiecun, XU Lihua, ZHANG Maozhen, TANG Mengping. Spatial structure and species diversity with an improved mingling index . Journal of Zhejiang A&F University, 2014, 31(3): 336-342. doi: 10.11833/j.issn.2095-0756.2014.03.002
[7]	ZHANG Qianqian, CHEN Jian, JIANG Hong, TANG Minzhong. Classification of Hyperion hyperspectral imagery data using texture . Journal of Zhejiang A&F University, 2013, 30(6): 880-886. doi: 10.11833/j.issn.2095-0756.2013.06.012
[8]	JI Bi-yong, TAO Ji-xing, ZHANG Guo-jiang, DU Qun, YAO Hong-wen, XU Jun. Zhejiang Province’s forest vegetation biomass assessment for guaranteed accuracy . Journal of Zhejiang A&F University, 2012, 29(3): 328-334. doi: 10.11833/j.issn.2095-0756.2012.03.002
[9]	SUN Wei, HOU Rui-xia, TANG Xiao-ming. Desertification and sandification monitoring information management and application services system architecture . Journal of Zhejiang A&F University, 2012, 29(6): 930-938. doi: 10.11833/j.issn.2095-0756.2012.06.019
[10]	LOU Xiong-wei, FANG Lu-ming, ZHANG Hang. Map service forest rights monitoring platform research and implementation . Journal of Zhejiang A&F University, 2012, 29(6): 923-929. doi: 10.11833/j.issn.2095-0756.2012.06.018
[11]	ZHANG Guo-jiang, JI Bi-yong, WANG Wen-wu, FANG Yan-jie, LI Zuo-hui. City-county synchronized monitoring system of forest resources in the city with districts under its jurisdiction . Journal of Zhejiang A&F University, 2011, 28(1): 46-51. doi: 10.11833/j.issn.2095-0756.2011.01.008
[12]	WU Chun-zheng, FENG Yi-ming, SHU Qing-tai, LI Zeng-yuan, WU Hong-gan, CHE Teng-teng. Designing and realizing the forestry sub-compartment remote sensing division system based on high-spatial resolution images . Journal of Zhejiang A&F University, 2011, 28(1): 40-45. doi: 10.11833/j.issn.2095-0756.2011.01.007
[13]	CHEN Chun-lei, WU Gang. Choice of optimal scale for multi-source remote sensing images . Journal of Zhejiang A&F University, 2011, 28(1): 164-172. doi: 10.11833/j.issn.2095-0756.2011.01.027
[14]	WANG Zu-hua, CAI Liang-liang, GUAN Qing-wei, CAI Xia. Evaluation of forest ecosystem services in Chun’an County . Journal of Zhejiang A&F University, 2010, 27(5): 757-761. doi: 10.11833/j.issn.2095-0756.2010.05.019
[15]	WU Jian, PENG Dao-li. Technology of land use remote sensing information extraction in Duolun County . Journal of Zhejiang A&F University, 2010, 27(3): 417-423. doi: 10.11833/j.issn.2095-0756.2010.03.016
[16]	GUO Zheng, JIANG Hong, CHEN Jian, CHENG Miao-miao, JIANG Zi-shan, YU Shu-quan, LI Tu-sheng. Forest landscape analysis with remote sensing data for Yuhang，Zhejiang Province . Journal of Zhejiang A&F University, 2010, 27(1): 36-43. doi: 10.11833/j.issn.2095-0756.2010.01.006
[17]	XU Wen-bing, GAO Fei, DU Hua-qiang. Application and precision analysis of several surveying methods in forest resources survey . Journal of Zhejiang A&F University, 2009, 26(1): 132-136.
[18]	LI Yi-qiu, FENG Zhong-ke. Non-quidistance gray mode forecast of forest resource dynamic changes in Shandong Province . Journal of Zhejiang A&F University, 2009, 26(1): 7-12.
[19]	XIA Wei-weil, HAN Hai-rong, YI Li-ta, CHENG Xiao-qin. Dynamics of forest landscape pattern in Pangquangou National Nature Reserve . Journal of Zhejiang A&F University, 2008, 25(6): 723-727.
[20]	TANG Li-hua, LU Shou-yi, WU Da-sheng, XU Ai-jun. Application and prospect of WebGIS in China forest resources information management . Journal of Zhejiang A&F University, 2004, 21(1): 104-109.

References
Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(3916) PDF downloads(573) Cited by()

Proportional views

Based on WebGIS platform developing remote sensing information systems of forest canopy density inversion

1. Forestry College，Beijing Forestry University，Beijing 100083，China

Received Date: 2014-11-12

Rev Recd Date: 2014-12-11

Publish Date: 2015-06-20

Key words:

Abstract: With Landsa 8 OLI data, field investigation of the sample data and the ASTER GDEM elevation data as the foundation, this paper views Jiangle County, Sanming City, Fujian Province as the study area, and selects the stepwise-linear regression model, the backward-linear regression model and partial-least squares model to study the crown density distribution of the study area. On the ArcGIS Server for the. NET development （ADF） platform, this system combines with the spatial database technology, and sets up a distributed information system on forest crown density inversion which is based on B/S model, so that this system can carry out basic GIS operations, data query, the model factor calculation, forest canopy density model implementation, data editing and output functions, etc. Basically the system can meet the regional forest resources structure parameters analysis especially the unity of the crown density information management and processing requirements, and supports a platform for structural parameters, data normalization management and forest resources sharing services for Jiangle County, Sanming City.［Ch, 6 fig. 15 ref.］

Based on WebGIS platform developing remote sensing information systems of forest canopy density inversion

doi: 10.11833/j.issn.2095-0756.2015.03.009

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views