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1.
Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island,Malaysia 总被引：3，自引：1，他引：2
Kok Chooi Tan Hwee San Lim Mohd Zubir MatJafri Khiruddin Abdullah 《Environmental Earth Sciences》2010,60(7):1509-1521
Land surface temperature (LST) plays an important role in local, regional and global climate studies. LST controls the distribution
of the budget for radiation heat between the atmosphere and the earth’s surface. Therefore, it is important to evaluate abrupt
changes in land use/land cover (LULC). Penang Island, Malaysia has been experiencing a rapid and drastic change in urban expansion
over the past two decades due to growth in industrial and residential areas. The aim of this study was to investigate and
evaluate the impact of LST with respect to land use changes in Penang Island, Malaysia. Three supervised classification techniques
known as maximum likelihood, minimum distance-to-mean and parallelepiped were applied to the images to extract thematic information
from the acquired scene by using PCI Geomatica 10.1 image processing software. These remote sensing classification techniques
help to examine land-use changes in Penang Island using multi-temporal Landsat data for the period of 1999–2007. Training
sites were selected within each scene and seven land cover classes were assigned to each classifier. The relative performance
of each technique was evaluated. The accuracy of each classification map was assessed using a reference data set consisting
of a large number of samples collected per category. Two Landsat satellite images captured in 1999 and 2007 were chosen to
classify the LULC types using the maximum likelihood classification method, determined from visible and near-infrared bands.
The study revealed that the maximum likelihood classifier produced superior results and achieved a high degree of accuracy.
The LST and normalised difference vegetation index (NDVI) were computed based on changes in LULC. The results showed that
the urban (highly built-up) area increased dramatically, and grassland area increased moderately. Inversely, barren land decreased
obviously, and forest area decreased moderately. While urban (minimally built-up) area decreased slightly. These changes in
LULC caused at significant difference in LST between urban and rural areas. Strong correlation values were observed between
LST and NDVI for all LULC classes. The remote sensing technique used in this study was found to be efficient; it reduced the
time for the analysis of the urban expansion, and it was found to be a useful tool to evaluate the impact of urbanisation
with LST. 相似文献
2.
Saeed Ojaghi Farshid Farnood Ahmadi Hamid Ebadi Raechel Bianchetti 《Arabian Journal of Geosciences》2017,10(21):470
Lake Urmia, located in northwest Iran, contains a number of wetlands significantly affecting the environmental, social, and economic conditions of the region. The ecological condition of Lake Urmia has degraded during the past decade, due to climate change, human activities, and unsustainable management. The poor condition of the lake has also affected the surrounding wetlands. This study analyzes the land cover change of one of the wetlands in the southern part of Lake Urmia, known as Ghara-Gheshlagh wetland, in the period 1989–2015 using post-classification change detection and machine learning image classification. For this analysis, three Landsat images, acquired in 1989 (TM), 2001 (TM), and 2015 (Landsat-8), were used for the classification and change detection. Support vector machine learning algorithm, a supervised learning method, is employed, and images are classified into four main land cover classes namely “water,” ”barren,” “salty land,” and “agriculture and grassland.” Change detection was carried out for pairs of years 1989 to 2001 and 2001 until 2015. The results of this classification show that there is a sharp increase in the area of salt-saturated land as well as a decrease in the area of water resources. Overall classification accuracy obtained were high for the individual years: 1989 (91.48%), 2001 (90.63%), and 2015 (88.6%). Also, the Kappa coefficients for individual maps were high: 1989 (0.89), 2001 (0.8742), and 2015 (0.84). After that, the land cover change map of the study area is obtained between 1989 to 2001 and then 2001 to 2015. The results of this analysis suggest that more efforts should be taken to effectively manage water resources in the region and point to potential locations for focused management actions within the wetland area. 相似文献
3.
The aim of this study was to determine land use changes in Datong basin using multitemporal Landsat data for the period of
1977–2006. Four dates of Landsat images from 1977, 1990, 2000, and 2006 were selected to classify the study area. Based on
the supervised classification method of maximum likelihood algorithm, images were classified into six classes: water, urban,
forest, agriculture, wetland, and barren land. A multidate postclassification comparison change detection algorithm was used
to determine changes in land use in four intervals. It is found that (1) urban land area increased 213% due to urbanization
that resulted from rapid increase of urban population and high-speed economic development, (2) agriculture area increased
34.0% due to land reclamation that resulted from rapid increase of rural population and improvement of irrigation capacity,
(3) forest area decreased 20.9% due to deforestation for urban area and agricultural use, (4) barren land area decreased 78.2%
due to cultivation for agricultural use, and (5) water and wetland decreased 39.1 and 67.1%, respectively, due to exploitation
of surface water and decrease of recharge from groundwater to surface water that resulted from over exploitation of groundwater. 相似文献
4.
Wular Lake is the largest freshwater lake of India located in north western Himalayas of Kashmir Valley which has got deteriorated over the period of time due to the enough human interference within its catchment areas. The purpose of the present research study is to identify the changes in land use and land cover in the Wular catchment as well as its transformation into other classes and its impact on the overall water quality of the lake. For the present study Landsat (TM) image of 1992 and Landsat-8 (OLI) of 2015 have been used for assessing the changes in land use/land cover. Supervised classification technique was used to generate LULC maps of different categories pertaining to study area for years 1992 and 2015. Regarding water quality, water samples were collected from five different spots of the lake in four different seasons of the year—from December 2014 to September 2015. The sites from which samples were collected are Vintage Park, Ashtungo, Watlab, Makhdomyari and Ningal as site 1, 2, 3, 4, and 5 respectively. Some parameters of water like temperature, transparency, depth, conductivity and pH were examined on the spot during the sample collection by their respective measuring instruments. The rest of the parameters were examined in hydrological laboratory within 24 h after collection following the standard methods of APHA (Standard methods for the examination of water and wastewater, 21st edn. American Public Health Association, Washington, DC, 2005). The relationship between the LULC classes and water quality parameters has been calculated with the help of SHDI which has shown both positive and as well as negative results. 相似文献
5.
Miško Milanović Milisav Tomić Veljko Perović Milan Radovanović Saumitra Mukherjee Darko Jakšić Marko Petrović Ana Radovanović 《Environmental Earth Sciences》2017,76(16):580
This paper presents the effect of land-use changes on land degradation by utilization of remote sensing methods and the Gavrilovi? erosion potential method, due to surface mining activities in the period 2001–2011. Studied area includes the zone of influence of the Rudarski basen Kolubara, which covers the exploitation area of the Kolubara coal basin in the Republic of Serbia. The analysis is based on the processing of Landsat 5 satellite images from 2001 and 2011. In the analysis of satellite images, the supervised classification method was used. The results suggest that the observed spatial–temporal area is exposed to erosion as a result of land-use changes. Preliminary conclusion is that the dominant anthropogenic factor, responsible for changes in land use, is pronounced through the mining activity, industrialization, construction as well as agricultural activities. Very small changes in land use that occurred in the period 2001–2010 have led to relatively small amount of change from the aspect of land degradation. Also, due to the planned exploitation of the mine which included into account the sustainability of ecosystems, primarily through appropriate conservation measures, RB Kolubara is not in danger of a possible erosion processes that could undermine the stability of the basin. 相似文献
6.
Appraisal of land use/land cover of mangrove forest ecosystem using support vector machine 总被引：2，自引：1，他引：1
Sudhir Kumar Singh Prashant K. Srivastava Manika Gupta Jay Krishna Thakur Saumitra Mukherjee 《Environmental Earth Sciences》2014,71(5):2245-2255
Human activities in many parts of the world have greatly changed the natural land cover. This study has been conducted on Pichavaram forest, south east coast of India, famous for its unique mangrove bio-diversity. The main objectives of this study were focused on monitoring land cover changes particularly for the mangrove forest in the Pichavaram area using multi-temporal Landsat images captured in the 1991, 2000, and 2009. The land use/land cover (LULC) estimation was done by a unique hybrid classification approach consisting of unsupervised and support vector machine (SVM)-based supervised classification. Once the vegetation and non-vegetation classes were separated, training site-based classification technology i.e., SVM-based supervised classification technique was used. The agricultural area, forest/plantation, degraded mangrove and mangrove forest layers were separated from the vegetation layer. Mud flat, sand/beach, swamp, sea water/sea, aquaculture pond, and fallow land were separated from non-vegetation layer. Water logged areas were delineated from the area initially considered under swamp and sea water-drowned areas. In this study, the object-based post-classification comparison method was employed for detecting changes. In order to evaluate the performance, an accuracy assessment was carried out using the randomly stratified sampling method, assuring distribution in a rational pattern so that a specific number of observations were assigned to each category on the classified image. The Kappa accuracy of SVM classified image was highest (94.53 %) for the 2000 image and about 94.14 and 89.45 % for the 2009 and 1991 images, respectively. The results indicated that the increased anthropogenic activities in Pichavaram have caused an irreversible loss of forest vegetation. These findings can be used both as a strategic planning tool to address the broad-scale mangrove ecosystem conservation projects and also as a tactical guide to help managers in designing effective restoration measures. 相似文献
7.
为了解20世纪70年代以来洞庭湖区湖泊洲滩地表覆盖变化,基于1978年以来的多源中分辨率遥感影像,对洲滩地表覆盖情况进行了监测,利用决策树分类方法解译,结合地理国情普查数据验证了解译精度.结果表明:近40年来,杨树和芦苇地是1978年以来变化最大的地表覆盖,二者呈此消彼长的增减状态,2007—2015年分布面积基本相当,2015年至今杨树面积大幅度减少,芦苇面积维持稳中有增的趋势.2002年以前,洞庭湖洲滩总体呈扩张趋势,2002年之后,洲滩面积趋于稳定.目前,芦苇和湖草占洞庭湖洲滩总面积的2/3.洞庭湖自然保护区内欧美黑杨主要分布于南洞庭湖自然保护区,芦苇主要分布于东洞庭湖和南洞庭湖自然保护区.洞庭湖区湖泊洲滩的人工利用程度在2015年后大幅减小,但仍有48.57%,亟待进一步控制. 相似文献
8.
基于分区—分层—分波段方法,对贵州省大方县1988年、2001年、2009年三期TM影像进行土地利用类型分类,并对其时空变化规律进行分析。结果表明:三个时间段内耕地既有扩张也有缩减,但总体面积减少,减少幅度为33%;林地扩张范围大于退缩范围,总体面积增加,增加幅度为34%;草地面积先减少后增加,空间格局变化剧烈,总体减幅为11%;建设用地数量上持续扩张,增幅比例最大,增幅达715%。总体而言,人类活动是影响大方县土地利用数量和空间格局变化的主要原因,海拔和坡度等自然因素对耕地、林地的扩张和退缩有明显影响。 相似文献
9.
【研究目的】近20年来,长江三角洲海岸带地区土地类型结构发生显著转化,海岸带开发与保护的矛盾凸显。本文旨在开展长江三角洲海岸带典型区土地利用变化与生态环境效应研究,为海岸带地区的土地资源可持续利用、海岸带环境保护提供科学依据。【研究方法】利用美国Landsat卫星系列遥感影像和中国资源卫星系列遥感影像,采用自动监督分类并结合目视解译,获取了研究区1995—2015年共5期土地利用分类数据,分析土地利用变化特征和趋势,探讨长江三角洲海岸带典型区城镇发展、围填海时空变化及生态环境效应。【研究结果】长江三角洲海岸带典型区（南通、上海、嘉兴、宁波和舟山）1995年至2015年,土地利用变化明显,耕地大幅度减少,比例从1995年的68.8%降为2015年的55.7%;城镇建设用地迅速扩张,年平均增加192.8 km2。【结论】在快速城市化过程中,人口、单位面积能源消耗等快速增加,环境问题凸显,大量的耕地转为建设用地,围填海使滨海湿地面积快速减小和消失,导致CO2和污染物释放与吸收严重失衡,海洋环境受流域和沿海城镇化建设的影响明显,长江口及邻近海域近20年来赤潮频发,研究区陆域和海洋环境压力增加。创新点：选取长江三角洲海岸带典型区,首次以1995—2015年5期序列遥感影像数据为基础,采用空间叠加分析方法,着重分析了建设用地和围填海区域的时空演化特征;以人类活动为主线,综合多种海洋环境指标,分析快速城市化进程中,建设用地和围填海导致的生态环境效应。 相似文献
10.
Late Pleistocene regression of two large pluvial lakes—Lake Bonneville and Lake Lahontan—caused considerable lithospheric
rebound in the Basin-and-Range Province, USA. Here, we use finite-element models to show how lake growth and regression affect
the temporal and spatial slip evolution on faults near the former lakes. Our results show that fluctuations in the volume
of Lake Bonneville caused along-strike slip variations on the Wasatch normal fault, with a pronounced slip rate increase on
its northern and central parts during lake regression. The response of normal and strike-slip faults near the ring-shaped
Lake Lahontan depends on their location within the rebound area. Faults located in the centre of rebound show a slip rate
increase during lake regression, whereas strike-slip faults at the periphery decelerate. All slip rate variations are caused
by differential stress changes owing to changing lake levels, regardless of the individual fault response. 相似文献
11.
Wular Lake, one of the largest freshwater lakes of Jhelum River Basin, is showing signs of deterioration due to the anthropogenic impact and changes in the land use/land cover (LULC) and hydrometeorological climate of the region. The present study investigated the impacts of temporal changes in LULC and meteorological and hydrological parameters to evaluate the current status of Wular Lake environs using multisensor, multitemporal satellite and observatory data. Satellite images acquired for the years 1992, 2001, 2005, and 2008 were used for determining changes in the LULC in a buffer area of 5 km2 around the Wular Lake. LULC mapping and change analysis using the visual interpretation technique indicated significant changes around the Wular Lake during the last two decades. Reduction in lake area from 24 km2 in 1992 to 9 km2 in 2008 (?62.5 %) affected marshy lands, the habitat of migratory birds, which also exhibited drastic reduction from 85 km2 in 1992 to 5 km2 in 2008 (?94.117 %). Marked development of settlements (642.85 %) in the peripheral area of the Wular Lake adversely affected its varied aquatic flora and fauna. Change in climatic conditions, to a certain extent, is also responsible for the decrease in water level and water spread of the lake as witnessed by decreased discharge in major tributaries (Erin and Madhumati) draining into the Wular Lake. 相似文献
12.
Land use/land cover (LU/LC) that are significant elements for the interconnection of human activities and environment monitoring can be useful to find out the deviations of saving a maintainable environment. Remote sensing is a very useful tool for the affair of land use or land cover monitoring, which can be helpful to decide the allocation of land use and land cover. Supervised classification-maximum likelihood algorithm in GIS was applied in this study to detect land use/land cover changes observed in Kan basin using multispectral satellite data obtained from Landsat 5 (TM) and 8 (OLI) for the years 2000 and 2016, respectively. The main aim of this study was to gain a quantitative understanding of land use and land cover changes in Kan basin of Tehran over the period 2000–2016. For this purpose, firstly supervised classification technique was applied to Landsat images acquired in 2000 and 2016. The Kan basin was classified into five major LU/LC classes including: Built up areas, garden, pasture, water and bare-land. Change detection analysis was performed to compare the quantities of land cover class conversions between time intervals. The results revealed both increase and decrease of the different LU/LC classes from 2000 to 2016. The results indicate that during the study period, built-up land, and pastures have increased by 0.2% (76.4 km2) and 0.3% (86.03 km2) while water, garden and bare land have decreased by 0, 0.01% (3.62 km2) and 0.4% (117.168 km2), respectively. Information obtained from change detection of LU/LC can aid in providing optimal solutions for the selection, planning, implementation and monitoring of development schemes to meet the increasing demands of human needs in land management. 相似文献
13.
以朝鲜半岛为研究区域, 基于2000年和2007年的MOD IS数据, 应用线性光谱混合模型进行像元组分分解并提取分类特征, 对像元组分分解后有错分的地物类型结合纹理进行分析, 以决策树模型进行土地利用分类。结果表明, 像元组分分解后的决策树分类结果总体精度达78.346 5% , Kappa系数达0.681 3。与像元组分分解前最大似然法和决策树分类结果相比, 决策树分类精度优于最大似然法, 且像元组分分解方法提高了分类精度。经2000年和2007年像元组分分解后的决策树分类结果对比: 朝鲜耕地面积增加; 韩国耕地面积减少, 居民地面积增加。 相似文献
14.
黑龙江省漠河地区土地覆被与地表温度时空变化特征研究 总被引：1，自引：0，他引：1
以我国高纬度多年冻土区漠河县城区及郊区862 km2的区域为研究对象,基于RS和GIS技术对该区地表覆被变化和地表温度进行研究。结果表明：地表类型和地表温度反演结果与现场比对结果一致;从1988年到2015年,经过火灾后重建和城镇化发展,建设用地面积增加了11.33 km2;以2015年为例,冬季由于积雪覆盖,有79.02%的区域无植被覆盖,夏季有80.91%的区域为高植被覆盖。冬季地表温度和高程具有高度相关性,高程每升高100 m,地表温度平均升高2.27℃,表明该区地表温度也存在显著的逆温现象。该区城镇热岛效应全年存在,城镇区域地表温度高于全区平均值,夏季最显著,最高温差可达6.37℃。地表温度与NDVI具有明显的负相关关系;不同土地利用类型地表温度由低到高的顺序为水体-林地-草地-裸地-建筑用地。 相似文献
15.
遥感图像记录了地物在空间域、时间域、光谱域的变化信息。利用图像的分类技术 ,能够识别土地利用类型。计算机遥感分类识别原理 ,是利用地物的光谱能量特征差异性和结构特征差异性来识别地物信息。根据北京某地遥感图像实例资料 ,将土地利用类型分为监督分类、非监督分类、最大似然法分类、神经网络分类等。不同的分类方法有各自的特点且分类结果也有一定的差别 ,其中神经网络分类与真实情况最为接近 相似文献
16.
17.
青海湖作为高海拔的内陆湖泊,其表面水体面积多年变化对寒旱区的气候变化和水循环至关重要。为了研究30年来青海湖湖泊面积变化规律,提取了1986—2017年(除去2012年)覆盖青海湖的459景Landsat5/8影像,采用6种常用的水体提取方法分别提取了青海湖表面水体面积,并分析了不同方法的差异,最终分别对Landsat 5 TM和Landsat 8 OLI遥感影像采用改进的归一化差异水体指数(MNDWI)和水体指数2015(WI2015)方法获得1986—2017年青海湖表面水体面积的年变化,并分析其变化趋势。结果表明:1989—2003年青海湖面积减小了175.34km^2,年平均减小率为12.52km^2/a,2003—2017年青海湖面积增加了183.43km^2,年平均增加率为13.10km^2/a,整体上,1986—2017年青海湖面积增加了104.46km^2,年平均增加率为3.37km^2/a。 相似文献
18.
Land use/land cover classification of the vicinity of Lake Chad using NigeriaSat-1 and Landsat data 总被引：1，自引：0，他引：1
Lake Chad in Africa experienced severe droughts in the 1970s and 1980s and overexploitations of water resulting in a decline of water level in the Lake and surrounding rivers. Such droughts and overexploitation of water caused a significant change of land use and water management practices over the last 50 years. Understanding the change of land use and land cover is, therefore, crucial to understand disturbance of the water cycle around the Lake. The present study analyzed satellite images of Lake Chad from Landsat-MSS, Landsat-TM, and NigeriaSat-1 to investigate the change of land cover during three time periods: the 1970s, 1991, and 2006. Unsupervised and supervised classifications were performed for the land cover analysis. The overall accuracies of the classification of Landsat-TM and NigeriaSat-1 are 93.33 and 95.24 %, respectively. It is evident that a 35 % decrease of waterbodies occurred from the 1970s to 1991, but a slight increase of 0.9 % occurred between 1991 and 2006. The Shrubland has overtaken most of the waterlog areas, as much as seven times of what it was in the 1970s. The interpretation of NigeriaSat-1 images indicates that NigeriaSat-1 has similar capabilities to Landsat-TM and Landsat-MSS for the detection of various land cover types because land cover and land use features are discernible on the processed images, especially depletion of waterbodies and vegetation. These are similarities justify the quality of the NigeriaSat-1 images for land cover and land use analysis. 相似文献
19.
承德坝上高原位于我国北方生态脆弱区,近年来正面临着自然湖泊面积萎缩和局部地下水位下降等问题。为查明坝上高原东部月亮湖萎缩原因,更好服务生态环境支撑区建设,笔者在野外调查和资料收集分析基础上,对坝上高原地区的生态环境变化和月亮湖萎缩原因进行了详细研究,初步认为:（1）1975—1993年为月亮湖水面面积较快增长期,1993年湖面面积最大,为0.43 km2;1993—2013年为缓慢萎缩期,2013年之后为较快萎缩期;（2）年际尺度上月亮湖区降水量和蒸发量都呈增加趋势,但因温度升高和下垫面条件改变引起的蒸发量增加趋势更明显;（3）人类活动对湖泊面积影响作用也不容忽视,人工林面积增加、旅游开发后的道路硬化、地下水开采和牲畜饮水增多可能也是湖泊快速萎缩的重要原因。建议坝上高原地区未来发展节水型生态旅游,同时实施湖区及周边地区地下水禁限采,强化水源涵养保护。 相似文献
20.
The coastal zone of the Nile Delta is a promising area for energy resources and industrial activities. It also contains important
wetland ecosystems. This coastal area witnessed several changes during the last century. A set of four satellite images from
the multi-spectral scanner (MSS), thematic mapper (TM) and Systeme Pour l’Observation de la Terre (SPOT) sensors were utilized
in order to estimate the spatio-temporal changes that occurred in the coastal zone between Damietta Nile branch and Port-Said
between 1973 and 2007. Image processing applied in this study included geometric rectification; atmospheric correction; on-screen
shoreline digitizing of the 1973 (MSS) and 2007 (SPOT) images for tracking the shoreline position between Damietta promontory
and Port-Said; and water index approach for quantifying Manzala lagoon surface area change using 1973 (MSS), 1984 (TM) and
2003 (TM) images. Results showed that coastal erosion was severe near Damietta promontory and decreased eastward, however,
accretion was observed near Port-Said. About 50% of the coastal strip was under erosion and 13% was under accretion. In addition,
a remarkable decline (34.5%) of the Manzala lagoon surface area was estimated. These changes were attributed mainly to the
control of the River Nile flooding and the land use change by anthropogenic activities. 相似文献