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1.
以四川省成都市为研究区,利用2014年Landsat-8 OLI遥感影像,提取该区土地利用/覆被数据,并结合经济、交通、生产耗能等基础统计数据,构建碳-氧平衡分析模型,对2014年碳氧收支量进行了研究,并对碳-氧平衡状况进行分析评价。结果表明,成都市2014年碳平衡系数为-0.049,氧平衡系数为-0.503。由于成都市东中西部社会活动功能差异和土地覆被类型分布不均,导致成都市19个行政区的碳氧平衡差异明显。最后,基于研究结果,对降低碳释放、社会经济活动和生态空间格局方面提出相应建议,可为成都市生态文明建设提供科学依据。 相似文献
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基于遥感和GIS的南充市顺庆区LUCC动态变化分析 总被引：1，自引：0，他引：1
利用遥感、地理信息系统技术方法,精确解译顺庆区2000年与2007年两期Landsat-TM遥感影像,获得该地区土地利用/覆被的矢量图及定量统计数据,综合运用动态指标分析了LUCC特征。研究结果表明：该地区的耕地、林地和建设用地是LUCC的核心类型,三者面积之和超过研究区总面积的90%。7年间土地利用/覆被变化速度较快,耕地面积逐年减少,林地和建设用地面积显著增加,草地、水域则有少许减少。这些分析结果为查明该区土地利用及变化情况,揭示其中存在的问题,相关部门制定国土规划提供了科学依据。 相似文献
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以九峰山历史遗留矿区为研究对象,应用RS技术解译研究区2000、2010和2020年遥感影像数据,分析20年间土地覆被类型变化量、动态变化度和转移矩阵,结果表明：2000—2020年,研究区草灌区、耕地、矿区和林灌区面积变化量分别为-83.13、-0.58、41.22和42.49 km2,变化率分别为-30.49%、-29.44%、1 177.71%和95.70%。草灌区和耕地变化较慢,草灌区主要转变为林灌区,其次被矿区侵占,耕地转变为草灌区;矿区增速极快,主要侵占草灌区;林灌区增速缓慢,主要由草灌区转入。人为因素是九峰山历史遗留矿区土地覆被类型变化的主要驱动因素。 相似文献
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以新疆阜康地区为研究区,利用遥感和GIS技术及数理统计学方法,利用ERDAS软件,通过对70年代MSS和2000年ETM影象的几何校正、图象增强、应用目视解译方法,在地理信息系统软件ArcGIS中编制两期生态景观图,利用矢栅转换和叠置功能来研究土地及植被类型的面积及空间分布状况在两期图中的变化,并通过土地利用与土地覆被变化来研究70年代到2000年西部干旱区土地及植被类型变化过程和趋势。 相似文献
5.
以新疆阜康地区为研究区,利用遥感和GIS技术及数理统计学方法,利用ERDAS软件,通过对70年代MSS和2000年ETM影象的几何校正、图象增强、应用目视解译方法,在地理信息系统软件ArcGIS中编制两期生态景观图,利用矢栅转换和叠置功能来研究土地及植被类型的面积及空间分布状况在两期图中的变化,并通过土地利用与土地覆被变化来研究70年代到2000年西部干旱区土地及植被类型变化过程和趋势. 相似文献
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应用遥感和GIS技术对新疆石河子垦区1980年、1990年、2002年和2014年的遥感影像资料进行处理,并从土地覆被总体状况、数量变化和土地覆被转移方向三方面作了动态监测分析。结果表明,草地、耕地、未利用土地是石河子垦区的主要土地覆被类型。1980到2014年间,草地面积大幅度减少,耕地面积大幅度增加,其中城乡、工矿、居民用地年变化率最大,林地动态度最低。分析结果为该区土地资源的可持续利用提供了重要的依据。 相似文献
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北京周边地区是近一二十a环境退化较严重的地区，特别是由于资源过度开发利用所引起的土地利用和土地覆被变化的生态
环境问题十分突出。以遥感技术、地理信息系统和全球定位系统技术为手段，利用1991或1992年、2001或2002年2期的遥感影像为
基础，辅以土地利用现状图及与生态建设等相关资料，通过外业调查验证，快速、准确地获取北京周边地区51个县级辖区，总土地
面积为23万km2的土地利用现状和近10a的土地利用动态变化及与生态环境相关的土地退化，以反映生态建设工程的实施效果，为
北京周边地区资源合理利用和生态环境建设与规划提供了科学依据。 相似文献
11.
Kamleshan Pillay Naeem Hoosen Agjee Srinivasan Pillay 《Journal of the Indian Society of Remote Sensing》2014,42(1):51-60
Land is the basic resource that is needed by man in order to survive: It provides humans with living space, nutrition and energy resources. The rapid growth of the human population, climate change and pollution on a catastrophic scale has caused the quality of land resources to be compromised. Remote sensing is a useful tool in land cover change detection providing information to decision makers. The aim of this study was to evaluate land cover changes in the Mtunzini area in South Africa over the past 18 years; determine why changes have occurred and predict land cover patterns for future years. In this study a supervised classification was used to detect land cover classes of the Mtunzini area from 1992 to 2009 using four Landsat images in the time series analysis. The supervised classification had an accuracy of 80.80 % which was used to model land cover changes. Commercial sugar cane and forest plantation classes increased throughout the time series. It was estimated in the modelling procedure that bushland (42.11 %) and bare soil (35 %) would be changed to commercial sugar cane. This is indicative of the expanding agriculture sector in Mtunzini. Natural vegetation is predicted to be disturbed: 18 % of bushland and 15.07 % of dense bush are expected to be replaced by rural dwellings. This is owing to a potential increase in the rural population and a reduced local economic growth. This study highlights the need for increased vigilance of the forestry industry and commercial sugar cane farms which may be encroaching on natural vegetation and livelihoods of local residents. Strategic planning and proper management of natural vegetation types is needed as these land cover types are decreasing rapidly. 相似文献
12.
Abstract The objective of this study was to explore the utility of multi‐temporal, multi‐spectral image data acquired by the IKONOS satellite system for monitoring detailed land cover changes within shrubland habitat reserves. Sub‐pixel accuracy in date‐to‐date registration was achieved, in spite of the irregular relief of the study area and the high spatial resolution of the imagery. Change vector classification enabled features ranging in size from tens of square meters to several hectares to be detected and six general land cover change classes to be identified. Interpretation of the change vector classification product in conjunction with visual inspection of the multi‐temporal imagery enabled identification of specific change types such as: vegetation disturbance and associated increase in soil exposure, shrub removal, urban edge vegetation clearing and fire maintenance, increase in vegetation cover, spread of invasive plant species, fire scars and subsequent recovery, erosional scouring, trail and road development, and expansion of bicycle disturbances. 相似文献
13.
Qiufang Shao Yue Shi Zhiying Xiang Huaiyong Shao Wei Xian Peihao Peng Chengying Li Qiurong Li 《Journal of the Indian Society of Remote Sensing》2018,46(4):569-580
Located on the southeast edge of the Qinghai-Tibetan plateau, Aba County is the core area of the Returning Grazing Land to Grassland Project (RGLGP) on the plateau. For the purpose of monitoring the grassland change before and after the grassland protection project in Aba County, Landsat images acquired in 1996, 2003 and 2009 were analyzed. Using Spectral Mixture Analysis (SMA) model, sub-pixel fractions of land cover components were obtained: bright vegetation (BV), dark vegetation (DV), bright soil (BS), dark soil (DS) and water. Fraction images present the distribution and proportions of typical land cover components in this study. Fractions BV and BS were chosen as two indicators for grassland degradation. Thereafter, Change Vector Analysis (CVA) model was applied on the two indicators. After the performance of the CVA model, change results which consisted of both grassland degradation and vegetation re-growth were obtained, showing the change patterns of grassland degradation and vegetation re-growing in Aba County between two gaps: from 1996 to 2003 (before the RGLGP) and from 2003 to 2009 (after the RGLGP). The change patterns of grassland degradation and vegetation re-growing can effectively assist in the development of environmental restoration measures and in the RGLGP plans for the Qinghai-Tibetan plateau. 相似文献
14.
Debashis Chakraborty Dibyendu Dutta H Chandrasekharan 《Journal of the Indian Society of Remote Sensing》2001,29(3):115-128
The vegetation dynamics and land use/land cover types of Birantiya Kalan watershed located in the arid tracts of western Rajasthan have been characterized and evaluated using Remote Sensing and Geographical Information System (GIS). The watershed under study falls in the transitional plain of Luni Basin and is characterized by Aravali ranges in the eastern half and vast alluvial plains in the west. The land use/land cover types, as identified are cropland, fallow, forest, land with scrub, land without scrub, sandy area and the water body. Land with scrub occupied maximum area (39% area of the watershed) in 1996 in place of crop land which was dominant (43% of total area) in the year 1988. During eight years period, seasonal fallow land increased significantly and the areal extent of water body decreased to almost half. Vegetation vigour types have been classified into very poor, poor. moderate, good and very good categories. Moderate vigour type reduced from 62 to 27% and poor type increased from 34 to 68% during the period 1988 to 1996. Other vegetation vigour types have not shown any significant changes. To quantify the changes over the years in both vegetation and land use/land cover, weightages have been given to each type and composite values of both vegetation vigour and land use types for 1996 and 1988 have been calculated. It has been observed that the ratio for vegetation vigour has been found to be 0.85 showing that the overall vegetation have not improved after the treatment. The ratio for land use is found to be 1.01, which indicates negligible change in land use. 相似文献
15.
D. Singh I. Herlin J. P. Berroir S. Bouzidi 《Journal of the Indian Society of Remote Sensing》2005,33(2):211-217
Evapotranspiration (ET) is continued process wherein moisture from soil and vegetated surface is transferred to the atmosphere.
Changes in evapotranspiration are likely to have large impacts on terrestrial vegetation. Evapotranspiration is a seasonally
varying property at a given place; changes in it reflect the status of soil moisture and terrestrial vegetation. Through water
balance, ET can include major shifts in vegetative patterns and or its condition leading to climate change. Therefore, in
this paper, it is attempted to estimate the evapotranspiration over various land cover using National Oceanic and Atmospheric
Administration (NOAA)/ Advanced Very High Resolution Radiometer (AVHRR) data at coarse spatial resolution of 1.1 km. For this
purpose, a semi-empirical model has been proposed to estimate the ET. Regression analysis has been carried out to develop
an empirical relation between individual land cover surface temperature and ET, which will be helpful to know the effect of
each land cover surface temperature on ET. In which, it is observed that surface temperature over grassland is more effective
on ET in comparison to other land cover in March 1999 on the Mupfure, Zimbabwe catchment area. This type of estimation will
be helpful for climate modeler, climatologists, ecosystem modeler and regional planner. 相似文献
16.
Background
The Himalayan zones, with dense forest vegetation, cover a fifth part of India and store a third part of the country reserves of soil organic carbon (SOC). However, the details of altitudinal distribution of these carbon stocks, which are vulnerable to forest management and climate change impacts, are not well known. 相似文献17.
Abstract Coastal wetland is a major part of wetlands in the world. Land cover and vegetation mapping in a deltaic lowland environment is complicated by the rapid and significant changes of geomorphic forms. Remote sensing provides an important tool for coastal land cover classification and landscape analysis. The study site in this paper is the Yellow River Delta Nature Reserve (YRDNR) at the Yellow River mouth in Shangdong province, China. Yellow River Delta is one of the fastest growing deltas in the world. YRDNR was listed as a national level nature reserve in 1992. The objectives of this paper are two fold: to study the land cover status of YRDNR, and to examine the land cover change since it was declared as a nature reserve. Land cover and vegetation mapping in YRDNR was developed using multi‐spectral Landsat Thematic Mapper (TM) imagery acquired in 1995. Land cover and landscape characteristics were analyzed with the help of ancillary GIS. Land use investigation data in 1991 were used for comparison with Landsat classification map. Our results show that YRDNR has experienced significant landscape change and environmental improvement after 1992. 相似文献
18.
Understanding rates, patterns and types of land use and land cover (LULC) changes are essential for various decision-making processes. This study quantified LULC changes and the effect of urban expansion in three Saudi Arabian cities: Riyadh, Jeddah and Makkah using Landsat images of 1985, 2000 and 2014. Seasonal change of vegetation cover was conducted using normalised difference vegetation index, and object-based image analysis was used to classify the LULC changes. The overall accuracies of the classified maps ranged from 84 to 95%, which indicated sufficiently robust results. Urban area was the most changed land cover, and most of the converted land to urban was from bare soil. The seasonal analysis showed that the change of vegetation cover was not constant due to climatic conditions in these areas. The agricultural lands were significantly decreased between 1985 and 2014, and most of these lands were changed to bare soil due to dwindling groundwater resources. 相似文献
19.
Land-use change and Land-cover classes in Garur Ganga watershed of Bageshwar district in Uttranchal State during the periods 1963–1996 and 1986–1996 were analyzed through Survey of India Topographical Sheet and visual interpretation of LANDSAT 5 TM image bands 2, 3 and 4 using Geographical Information System (GIS). The detailed analysis have revealed that the area under agriculture and settlement increased from 34.98 to 42.34%. whereas the forest and barren land show a declining trend. Expansion of agriculture land and builtup areas have been found to be maximum in the 1200–1600 m elevation zone with 7–14° slope class. The loss of vegetation cover has been estimated to be 5.07% between 1963-1996 and 0.81% between 1986–1996. 相似文献
20.
1983—1992年中国陆地植被NDVI演变特征的变化矢量分析 总被引：32，自引：2，他引：32
以NDVI时序资料为基本数据源，综合应用变化矢量分析和主成分分析方法对1983年至1992年中国陆地植被NDVI的变化强度、变化类型及空间结构变化特征进行了分析。研究结果表明在此期间中国陆地植被NDVI变化有以下特点：（1）十年间NDVI变化东西分异明显，东部变化幅度远大于西部。NDVI变化整体表现为稳中略增，增加区主要分布在台湾、福建、四川、河南等地；减少区主要分布在云南省和新疆北部等地。（2）空间结构信息表现了景观异质性，其变化主要发生在南方，反映了植被的生长和衰老过程及地形（山脉走向）变化。 相似文献