USING REMOTE SENSING TECHNOLOGY TO MONITOR AND RESEARCH TROPICAL PRIMEVAL FOREST IN JIANFENG MOUNTAIN, HANINAN, CHINA

doi:10.6046/gtzyyg.1996.04.03

Download: PDF(1099 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

This paper introduces in brief reflecting spectrum feature of different woods in national forest of Jianfengling of Hainan Province, according to that, using TM data to class and calculate the area to every forests. By contrast the area of different classification of different time. It surveys clearly some forests field changing, especially the cases of primeval forest is reducing constantly, so it provides some information for managing and protecting to primeval forest.

Keywords The ancient culture of Kuahu Bridge Satellite remote sensing The Qiantang River flood tide

Issue Date: 02 August 2011

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	WANG Yong-Jiang
	JIANG Xiao-Wei
	YU Chang-Chun
	XIONG Sheng-Qing
	LIU Shi-Yi
	FAN Zheng-Guo
	SUI Su-Wen

Cite this article:

WANG Yong-Jiang,JIANG Xiao-Wei,YU Chang-Chun, et al. USING REMOTE SENSING TECHNOLOGY TO MONITOR AND RESEARCH TROPICAL PRIMEVAL FOREST IN JIANFENG MOUNTAIN, HANINAN, CHINA[J]. REMOTE SENSING FOR LAND & RESOURCES, 1996, 8(4): 16-22.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.1996.04.03 OR https://www.gtzyyg.com/EN/Y1996/V8/I4/16

[1]	GAO Qi, WANG Yuzhen, FENG Chunhui, MA Ziqiang, LIU Weiyang, PENG Jie, JI Yanzhen. Remote sensing inversion of desert soil moisture based on improved spectral indices[J]. Remote Sensing for Natural Resources, 2022, 34(1): 142-150.
[2]	YU Xinli, SONG Yan, YANG Miao, HUANG Lei, ZHANG Yanjie. Multi-model and multi-scale scene recognition of shipbuilding enterprises based on convolutional neural network with spatial constraints[J]. Remote Sensing for Natural Resources, 2021, 33(4): 72-81.
[3]	JIANG Xiao, ZHONG Chang, LIAN Zheng, WU Liangting, SHAO Zhitao. Research progress on classification criterion of geological information products based on satellite remote sensing[J]. Remote Sensing for Natural Resources, 2021, 33(3): 279-283.
[4]	Hailing GU, Chao CHEN, Ying LU, Yanli CHU. Construction of regional economic development model based on satellite remote sensing technology[J]. Remote Sensing for Land & Resources, 2020, 32(2): 226-232.
[5]	Kaiduan ZHENG, Jian CHEN, Jie ZHOU, Shaoxin GAO. Research on monitoring of a severe haze pollution over Yangtze River Delta based on multi-source remote sensing data[J]. Remote Sensing for Land & Resources, 2018, 30(1): 224-232.
[6]	YANG Rujun, XIE Guoxue. A discussion on domestic satellite data in land and resources supervision:Taking Guangxi Zhuang Autonomous Region as example[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 52-57.
[7]	CHEN Guoqian, ZHU Cunxiong, XIAO Jianshe, XIAO Ruixiang. Dynamic monitoring technology of Qinghai alpine grassland fire in spring based on multi-source satellite remote sensing data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 185-189.
[8]	CAO Yongxing, XUE Zhihang. Review of the urban aerosol retrieval research based on high-resolution images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(3): 1-6.
[9]	ZHENG Zongsheng, ZHOU Yunxuan, TIAN Bo, WANG Jian, LIU Zhiguo. Effects of vegetation on the dynamic of tidal creeks based on quantitative satellite remote sensing：A case study of Dongtan in Chongming[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 117-124.
[10]	YE Fa-wang, LIU De-chang. Application of High Resolution Satellite Remote Sensing Technology in Identification and Analysis of the Uranium Mineralization Bleached Alteration[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 117-123.
[11]	WU Xiao-Bo, YANG Liao, SHEN Jin-Xiang, WANG Jie. Car Detection by Using High Resolution Remote Sensing Image Based on Background Iterative Search[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(4): 46-51.
[12]	CHEN Qiang, HU Yong, GONG Cai-lan. Analysis of Satellite Remote Sensing Technology in the Evaluation of Agricultural Non-point Source Pollution[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(4): 1-5.
[13]	GAN Fu-Ping, YOU Shu-Cheng, QIU Zhen-Ge, YU Hai-Yang. THE SATELLITE REMOTE SENSING EVALUATION SYSTEM FOR LAND AND RESOURCES[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(1): 7-12.
[14]	YANG Ding-Tian, PAN De-Lu. PROGRESS IN THE RESEARCH ON CYANOBACTERIA REMOTE SENSING[J]. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(4): 1-5.
[15]	HU Hua-Lang, CHEN Yun-Hao, GONG A-Dou. ADVANCES IN THE APPLICATION OF REMOTELY SENSED DATA TO THE STUDY OF URBAN HEAT ISLAND[J]. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(3): 5-9.