STUDY OF AEOLIAN GEOMORPHIC UNIT AND IT' S INFLUENCE ON AGRICULTURE USING REMOTE SENSING IMAGE WEST JILIN

doi:10.6046/gtzyyg.1990.01.02

Download: PDF(7097 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

According to result of remote sensing image interpretation and investigation of geology-geography the auther considers that some topographic-geomorphic units are not of aeolian but related to structural activity such as the arc ridge isn't column dune and the lump isn't old dune. The local aeolian geomorphic unit is chiefly some small-scale deflation shallow valley deflation relic hillock, dune and soil hillock etc. that generate facing wind slope on ridge-mound and in hollow. The author investigates the law of the local aeolian geological precess and it's influence on agriculture according to form and distribution of some the aeolian geomorphic units. Finally the author puts forward some proposals for local agricultural program.

Keywords TM Remote sensing retrieval Biochemical oxygen demand after 5 days

Issue Date: 02 August 2011

	Service

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

	SUN Qiang-Xian
	LI Mao-Tang
	LU Jing-Xua
	ZHAO Ju-了in
	XUE Bin-yi
	FENG Jun
	HE Hai-jun

Cite this article:

SUN Qiang-Xian,LI Mao-Tang,LU Jing-Xua, et al. STUDY OF AEOLIAN GEOMORPHIC UNIT AND IT' S INFLUENCE ON AGRICULTURE USING REMOTE SENSING IMAGE WEST JILIN[J]. REMOTE SENSING FOR LAND & RESOURCES, 1990, 2(1): 5-12，56.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.1990.01.02 OR https://www.gtzyyg.com/EN/Y1990/V2/I1/5

[1]	HE Haiying, CHEN Caifen, CHEN Fulong, TANG Panpan. Deformation monitoring along the landscape corridor of Zhangjiakou Ming Great Wall using Sentinel-1 SBAS-InSAR approach[J]. Remote Sensing for Land & Resources, 2021, 33(1): 205-213.
[2]	TIAN Lei, FU Wenxue, SUN Yanwu, JING Linhai, QIU Yubao, LI Xinwu. Research on spatial change of the boreal forest cover in Siberia over the past 30 years based on TM images[J]. Remote Sensing for Land & Resources, 2021, 33(1): 214-220.
[3]	FAN Jiazhi, LUO Yu, TAN Shiqi, MA Wen, ZHANG Honghao, LIU Fulai. Accuracy evaluation of the FY-3C/MWRI land surface temperature product in Hunan Province[J]. Remote Sensing for Land & Resources, 2021, 33(1): 249-255.
[4]	WANG Jie, LIU Xiaoyang, YANG Jinzhong, ZHOU Yingjie, An Na, WANG Zhihui. Typical model analysis of mine geological environment restoration and management in Zhejiang Province based on domestic high-resolution satellite data[J]. Remote Sensing for Land & Resources, 2020, 32(3): 216-221.
[5]	Yizhe WANG, Guo LIU, Li GUO, Shihu ZHAO, Xueli ZHANG. Research on ortho-rectification and true color synthesis technique of GF-1 WFV data in China-Pakistan Economic Corridor[J]. Remote Sensing for Land & Resources, 2020, 32(2): 213-218.
[6]	Zhenyu SHEN, Xiaohong GAO, Min TANG. Comparison and accuracy verification for atmospheric correction of SPOT6 image in high altitude complex terrain area[J]. Remote Sensing for Land & Resources, 2020, 32(1): 81-89.
[7]	Dongya CHENG, Xudong LI. Comparison of change characteristics of NDVI in mountain basin before and after atmospheric correction[J]. Remote Sensing for Land & Resources, 2020, 32(1): 90-97.
[8]	Jie WANG, Yaqiu YIN, Hang YU, Cunhao JIANG, Yu WAN. Remote sensing monitoring of mine geological environment in Zhejiang Province based on RS and GIS[J]. Remote Sensing for Land & Resources, 2020, 32(1): 232-236.
[9]	Ling CHEN, Li CHEN, Wei LI, Jianyu LIU. Atmospheric correction of Worldview3 image based on FLAASH model[J]. Remote Sensing for Land & Resources, 2019, 31(4): 26-31.
[10]	Xuewen XING, Song LIU, Kaijun QIAN. Study of relationship between thickness of oil slicks and band reflectance of Landsat TM/ETM[J]. Remote Sensing for Land & Resources, 2019, 31(4): 69-78.
[11]	Jida PENG, Chungui ZHANG. Remote sensing monitoring of vegetation coverage by GF-1 satellite: A case study in Xiamen City[J]. Remote Sensing for Land & Resources, 2019, 31(4): 137-142.
[12]	Qi CAO, Manjiang SHI, Liang ZHOU, Ting WANG, Lijun PENG, Shilei ZHENG. Study of the response characteristics of thermal environment with spatial and temporal changes of bare land in the mountain city[J]. Remote Sensing for Land & Resources, 2019, 31(4): 190-198.
[13]	Jiaqi ZUO, Zegen WANG, Jinhu BIAN, Ainong LI, Guangbin LEI, Zhengjian ZHANG. A review of research on remote sensing for ground impervious surface percentage retrieval[J]. Remote Sensing for Land & Resources, 2019, 31(3): 20-28.
[14]	Piyuan YI, Hanbo LI, Peng TONG, Yingjun ZHAO, Chuan ZHANG, Feng TIAN, Yongfei CHE, Wenhuan WU. Atmospheric radiation correction of airborne hyperspectral image by adding elevation factor[J]. Remote Sensing for Land & Resources, 2019, 31(2): 66-72.
[15]	Jing ZHANG, Dongli JI, Yaonan BAI, Jinjie MIAO, Xu GUO, Dong DU, Yandong PEI. Research on the macro-characteristics of the sedimentation in the middle reach of Chaobai River based on remote sensing[J]. Remote Sensing for Land & Resources, 2019, 31(1): 156-163.