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国土资源遥感  2019, Vol. 31 Issue (4): 199-208    DOI: 10.6046/gtzyyg.2019.04.26
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
徂徕山—莲花山地区环境生态指数时空变化与驱动因素分析
马超1,2, 蔡盼丽1,3
1. 河南理工大学测绘与国土信息工程学院,焦作 454000
2. 矿山空间信息国家测绘与地理信息局重点实验室,焦作 454000
3. 中国科学院大学资源与环境学院,北京 100190
Spatio-temporal changes and driving factors of environmental and ecological index in Culai-Lianhua area
Chao MA1,2, Panli CAI1,3
1. College of Surveying & Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
2. Key Laboratory of State Bureau of Surveying and Mapping of Mine Spatial Information Technology, School of Surveying and Mapping Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
3. College of Resources and Environment, University of Chinese Academy of Science, Beijing 100190, China
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摘要 

内陆岛屿型封闭生境的人-地关系紧张,是区域环境变化和人类活动的敏感指示器。基于Landsat MSS/TM/OLI数据(1982—2016年)、气象站点(1982—2012年)年均降水、气温数据和ASTER GDEM数据,对山东省徂徕山—莲花山地区的气候变化要素(年均降水和气温)、人类活动要素(耕地和建筑用地面积)以及遥感指数(归一化植被指数(normalized difference vegetation index, NDVI)和归一化建筑指数(normalized difference building index, NDBI)进行时序分析和相关性分析。结果表明: 近35 a间,林地和灌丛向草地和稀疏草地转变,草地和稀疏草地向裸地转变的趋势明显; 形成了耕地、建筑用地包围林地,林地中有耕地和建筑用地的景观格局; 核心区NDVI增速为0.006 9/10 a,NDBI降速为-0.014/10 a; 核心区周围NDVI降速为-0.018/10 a,NDBI增速为0.0035/10 a; 耕地转出大,主要转化为建筑用地和林地; 林地面积变化与耕地和建筑用地面积呈显著负相关。总体上,徂徕山—莲花山地区生态结构和景观格局均发生了不利变化。

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关键词 徂徕山—莲花山地区封闭生境土地利用和土地覆被变化归一化植被指数归一化建筑指数生态格局    
Abstract

The strained human-land relationship in habitats which are isolated like islands inland, is an indicator sensitive to regional environmental changes as well as human activities. Based on image data obtained from Landsat MSS/TM/OLI (1982—2016), average annual precipitation and temperature data derived from meteorological stations (1982—2012), and DEM acquired by ASTER, the authors carried out time series analysis and correlation analysis of climate change factors (annual precipitation and temperature), human activity factors (area of cultivated and construction land) and specific remote sensing indexes including NDVI (normalized difference vegetation index) and NDBI (normalized difference building index) in Culai-Lianhua area. Some conclusions have been reached: The trend of vegetation degradation has been obvious in the past 35 years. It is clear that woodland and shrub have been transformed into grassland and sparse grassland, whereas grassland and sparse grassland have been transformed into bare land. The landscape pattern has changed. Woodland is surrounded by cultivated land and construction land. The woodland has been mixed with cultivated and construction land as well. The construction of the core area has made positive effect. In the core area, the growth rate of NDVI is 0.006 9/10 a and the NDBI has decreased at a rate of 0.014/10 a. On the contrary, around the core area, its NDVI has been speeding down at a rate of 0.018/10 a and the growth rate of NDBI is 0.003 5/10 a. The cultivated land has been greatly reduced, and mostly has been transformed into construction land and woodland. There exists a significant negative correlation between the change of woodland area and the change of cultivated and construction land area. In general, both the ecological structure and the landscape pattern have undergone adverse changes in Culai-Lianhua area.

Key wordsCulai-Lianhua basin    isolated habitat    land use and land cover change(LUCC)    NDVI    NDBI    ecological pattern
收稿日期: 2018-09-20      出版日期: 2019-12-03
:  TP79  
基金资助:国家自然科学基金委员会与神华集团有限责任公司联合资助重点项目“高强度开采地表生态环境演变机理与调控”(U1261206);培育项目“沉陷区高分辨率SAR散射特征变化规律研究”(U1261106);河南理工大学创新型科研团队项目“区域生态演变与调控”共同资助(T2018-4)
作者简介: 马 超(1967-),男,教授,博士生导师,主要从事自然灾害遥感和生态环境遥感的研究。Email: mac@hpu.edu.cn。
引用本文:   
马超, 蔡盼丽. 徂徕山—莲花山地区环境生态指数时空变化与驱动因素分析[J]. 国土资源遥感, 2019, 31(4): 199-208.
Chao MA, Panli CAI. Spatio-temporal changes and driving factors of environmental and ecological index in Culai-Lianhua area. Remote Sensing for Land & Resources, 2019, 31(4): 199-208.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2019.04.26      或      https://www.gtzyyg.com/CN/Y2019/V31/I4/199
Fig.1  徂徕山—莲花山地区所处的地理位置
平台传感器 成像时间 轨道号/
帧号
平均云
量/%
是否参与
NDVI计算
Landsat3 MSS 1982-09-15 131/35 0.00
Landsat5 TM 1985-07-27 122/35 17.00
Landsat5 TM 1987-10-05 122/35 1.00
Landsat5 TM 1988-08-04 122/35 1.00
Landsat5 TM 1991-09-30 122/35 0.00
Landsat5 TM 1993-09-03 122/35 1.00
Landsat5 TM 1998-09-01 122/35 5.00
Landsat5 TM 2001-09-09 122/35 1.00
Landsat5 TM 2003-09-15 122/35 1.00
Landsat5 TM 2004-10-03 122/35 0.00
Landsat5 TM 2006-08-22 122/35 39.00
Landsat5 TM 2009-08-30 122/35 1.00
Landsat5 TM 2011-09-21 122/35 0.00
Landsat8 OLI 2013-09-26 122/35 0.45
Landsat8 OLI 2014-07-27 122/35 15.97
Landsat8 OLI 2016-09-02 122/35 1.08
Tab.1  遥感影像列表(1982—2016年)
Fig.2  徂徕山—莲花山区域范围图
Fig.3  研究区时间序列NDVI密度分级图
Fig.4  1982—2016年研究区土地利用状况图
Fig.5  1982—2012年徂徕山—莲花山气温和降水变化趋势
Fig.6  1982—2016年间徂徕山—莲花山土地利用变化
Fig.7  2000,2010年徂徕山-莲花山地区GlobeLand30产品
Fig.8  1988—2016年徂徕山—莲花山NDBI均值变化
Fig.9  1988—2016年徂徕山—莲花山NDVI均值变化趋势
Fig.10  1988—2016年间徂徕山NDVI影像南北剖面图
Fig.11  1988—2016年莲花山NDVI影像南北剖面图
Fig.12  1988—2016年徂徕山—莲花山NDVI密度分割百分比
Fig.13  人文与自然要素相关性矩阵
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