A Genetic Analysis of the Karakul Lake Based on Remote Sensing Images

doi:10.6046/gtzyyg.2010.s1.16

Download: PDF(768 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Based on field investigation of the Karakul Lake and interpretation of existing glacier and former glacier

vestiges according to remote sensing images,the author has put forward the overall and reasonable genesis of the Karakul

Lake. According to the evolutionary characteristics of the lake,this paper makes some suggestions concerning the protection

of the eco-environment of the lake, and offers the evidence for sustainable development of this famous lake in the Pamirs.

Keywords DEM Sloping farmland Investigation GIS

TP 79

Issue Date: 13 November 2010

	Service

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

Cite this article:

ZHANG Rui-Jiang. A Genetic Analysis of the Karakul Lake Based on Remote Sensing Images[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(s1): 69-71.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.s1.16 OR https://www.gtzyyg.com/EN/Y2010/V22/Is1/69

［1］罗祥瑞，米德生，刘潮海.中国冰川目录——Ⅳ帕米尔山区［M］.北京：科学出版社，1988：39-54.

［2］苏珍.喀喇昆仑山—昆仑山地区冰川与环境［M］.北京：科学出版社，1998：38-169.

［3］施雅风，崔之久，苏珍，等.中国第四纪冰川与环境变化［M］.石家庄：河北科学技术出版社，2006：265-281.

［4］方洪宾，赵福岳，张振德，等.青藏高原现代生态地质环境遥感调查与演变研究［M］.北京：地质出版社，2009：15-105.

［5］苏珍，等.青藏高原冰川对气候变化的响应及趋势预测［J］.地球科学进展，1999， 14（6）：607-612.

［6］苏珍,等.青藏高原小冰期以来的冰川变化及其影响［J］.南京师范大学学报，2000，23（4）：203-206.

[1]	WU Yijie, KONG Xuesong. Simulation and development mode suggestions of the spatial pattern of “ecology-agriculture-construction” land in Jiangsu Province[J]. Remote Sensing for Natural Resources, 2022, 34(1): 238-248.
[2]	LI Dong, TANG Cheng, ZOU Tao, HOU Xiyong. Detection and assessment of the physical state of offshore artificial reefs[J]. Remote Sensing for Natural Resources, 2022, 34(1): 27-33.
[3]	JIANG Na, CHEN Chao, HAN Haifeng. An optimization method of DEM resolution for land type statistical model of coastal zones[J]. Remote Sensing for Natural Resources, 2022, 34(1): 34-42.
[4]	ZANG Liri, YANG Shuwen, SHEN Shunfa, XUE Qing, QIN Xiaowei. A registration algorithm of images with special textures coupling a watershed with mathematical morphology[J]. Remote Sensing for Natural Resources, 2022, 34(1): 76-84.
[5]	SONG Renbo, ZHU Yuxin, GUO Renjie, ZHAO Pengfei, ZHAO Kexin, ZHU Jie, CHEN Ying. A method for 3D modeling of urban buildings based on multi-source data integration[J]. Remote Sensing for Natural Resources, 2022, 34(1): 93-105.
[6]	WANG Shuang, ZHANG Lei, ZHANG Junyong, WANG Yile. Characteristics of GIS applications in national fitness[J]. Remote Sensing for Natural Resources, 2021, 33(4): 265-271.
[7]	ZHAO Longxian, DAI Jingjing, ZHAO Yuanyi, JIANG Qi, LIU Tingyue, FU Minghai. A study of mine site selection of the Duolong ore concentration area in Tibet based on RS and GIS technology[J]. Remote Sensing for Land & Resources, 2021, 33(2): 182-191.
[8]	MIAO Miao, XIE Xiaoping. Spatial-temporal evolution analysis of Rizhao coastal zone during 1988—2018 based on GIS and RS[J]. Remote Sensing for Land & Resources, 2021, 33(2): 237-247.
[9]	ZHANG Mengsheng, YANG Shuwen, JIA Xin, ZANG Liri. An automatic registration algorithm for remote sensing images based on grid index[J]. Remote Sensing for Land & Resources, 2021, 33(1): 123-128.
[10]	WANG Xiaolong, YAN Haowen, ZHOU Liang, ZHANG Liming, DANG Xuewei. Using SVM classify Landsat image to analyze the spatial and temporal characteristics of main urban expansion analysis in Democratic People’s Republic of Korea[J]. Remote Sensing for Land & Resources, 2020, 32(4): 163-171.
[11]	YAO Kun, ZHANG Cunjie, HE Lei, LI Yuxia, LI Xiaoju. Dynamic evaluation and prediction of ecological environment vulnerability in the middle-upper reaches of the Yalong River[J]. Remote Sensing for Land & Resources, 2020, 32(4): 199-208.
[12]	QIN Qiming, CHEN Jin, ZHANG Yongguang, REN Huazhong, WU Zihua, ZHANG Chishan, WU Linsheng, LIU Jianli. A discussion on some frontier directions of quantitative remote sensing[J]. Remote Sensing for Land & Resources, 2020, 32(4): 8-15.
[13]	Kaixuan LIANG, Guifang ZHANG, Haoran ZHANG. A method for extracting alluvial fan based on DEM and remote sensing data[J]. Remote Sensing for Land & Resources, 2020, 32(2): 138-145.
[14]	Yongquan WANG, Qingquan LI, Chisheng WANG, Jiasong ZHU, Xinyu WANG. Tethered UAVs-based applications in emergency surveying and mapping[J]. Remote Sensing for Land & Resources, 2020, 32(1): 1-6.
[15]	Renbo SONG, Yuxin ZHU, Shangshan DING, Qiaoning HE, Xiyuan WANG, Yuexiang WANG. An automatic method for extracting skeleton lines from arbitrary polygons based on GIS spatial analysis[J]. Remote Sensing for Land & Resources, 2020, 32(1): 51-59.