Assessment of Land use/land cover Change in the North-West District of Delhi Using Remote Sensing and GIS Techniques

Land is one of the prime natural resources. A city grows not only by population but also by changes in spatial dimensions. Urban population growth and urban sprawl induced land use changes and land transformation. The land transformation is a natural process and cannot be stopped but it can be regulated. Many geographical changes at the urban periphery are associated with the transfer of land from rural to urban purpose. There is an urgent need for fast growing areas like Delhi, which can be easily done by high-resolution remote sensing data. Land use/land cover of North West of Delhi has been analyzed for the time period of 1972?C2003. The remote sensing data used in study is Aster image of 2003 with a spatial resolution of 15?m and other data of 1972 Survey of India (SOI) toposheet at the scale of 1:50,000. Supervised digital classification using maximum likelihood classifier was applied for preparing land use/land cover. A change detection model was applied in ERDAS Imagine to find out the land use/land cover during 1972 to 2003. Eight land use classes was identified but main dominated classes were built up and agricultural land. A drastic change has been recorded during 30 years of time i. e. (1972-2003). In 1972, 92.06% of the land was under agricultural practice, which reduced to 64.71% in 2003. This shows 27.35% decrease in agricultural land in three decades. On the other hand built up area was 6.31% in 1972, which increased to 34% in 2003. One of the main cause of this land use change is the population growth due to the migration in the district from small cities and rural areas of Delhi.     

Land cover classification of the North China Plain using MODIS_EVI time series

Moderate Resolution Imaging Spectroradiometer (MODIS) data have played an important role in global environmental and resource research. However, its low spatial resolution has been an impediment to researchers pursuing more accurate classification results. In this research, the high temporal resolution of MODIS was employed to improve the accuracy of land cover classification of the North China Plain using MODIS_EVI time series from 2003. Harmonic Analysis of Time Series (HANTS) was performed on the MODIS_EVI image time series to reduce cloud and other noise effects. The improved MODIS_EVI time series was then classified into 100 clusters by the Iterative Self-Organizing Data Analysis Technique (ISODATA). To distinguish ambiguous land cover classes, a decision tree was built on five phenological features derived from EVI profiles, Land Surface Temperature (LST) and topographic slope. The overall accuracy of the final land cover map was 75.5%, indicating the promise of using MODIS EVI time series and decision trees for broad area land cover classification.     

Modelling Changes in Land Cover Patterns in Mtunzini,South Africa Using Satellite Imagery

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.     

煤矿关闭前后土地利用RS与GIS动态监测

采用遥感和GIS技术来监测矿区土地利用动态情况,对于矿区土地资源合理利用、科学管理和综合治理具有重要的意义。本文从数据的获取、遥感影像处理、年度变化信息提取、土地利用转移矩阵的建立等过程来分析土地利用RS与GIS动态监测过程。研究结果表明煤矿关闭前土地利用类型之间相互转换明显,呈现出建设用地和水域面积增加的趋势;关闭后水域面积趋于稳定,而农用地增加,土地利用集约化水平得到提高。总体来说矿区土地利用粗放,没有一个合理的土地利用结构方向,缺乏一个土地利用总体规划,但通过长期复垦整治,在一定程度上缓解了当地人地矛盾。     

2013年土地资源形势分析

2013年土地资源运行总体平稳。土地供应稳步增加,保障经济平稳运行;中西部地区土地供应持续快速增长,地区差距逐渐缩小;土地市场量价齐涨,地价环比增幅连续小幅上涨;房地产市场全面回暖,土地购置面积实现正增长。     

The Forest Types and Ages Cleared for Land Development in Puerto Rico

On the Caribbean island of Puerto Rico, forest, urban/built-up, and pasture lands have replaced most formerly cultivated lands. The extent and age distribution of each forest type that undergoes land development, however, is unknown. This study assembles a time series of four land cover maps for Puerto Rico. The time series includes two digitized paper maps of land cover in 1951 and 1978 that are based on photo interpretation. The other two maps are of forest type and land cover and are based on decision tree classification of Landsat image mosaics dated 1991 and 2000. With the map time series we quantify land-cover changes from 1951 to 2000; map forest age classes in 1991 and 2000; and quantify the forest that undergoes land development (urban development or surface mining) from 1991 to 2000 by forest type and age. This step relies on intersecting a map of land development from 1991 to 2000 (from the same satellite imagery) with the forest age and type maps. Land cover changes from 1991 to 2000 that continue prior trends include urban expansion and transition of sugar cane, pineapple, and other lowland agriculture to pasture. Forest recovery continues, but it has slowed. Emergent and forested wetland area increased between 1977 and 2000. Sun coffee cultivation appears to have increased slightly. Most of the forests cleared for land development, 55%, were young (1-13 yr). Only 13% of the developed forest was older (41-55+ yr). However, older forest on rugged karst lands that long ago reforested is vulnerable to land development if it is close to an urban center and unprotected.     

米易县土地利用景观格局动态变化分析

土地利用是全球环境变化研究的热点问题之一,本文在对米易县土地利用变化分析的过程中,引入景观格局分析方法开展土地利用动态变化的研究。采用ERDAS软件对1988年和2003年的两期遥感数据进行处理,结合Fragstats3.3景观格局分析软件,分别在斑块水平指数和景观水平指数上对研究区土地利用景观类型进行动态分析,揭示其变化原因和内在规律,为研究区生态治理提供数据支撑。并对景观的规划与管理、资源的有效利用和生物多样性保护具有重要意义。     

Prediction of Land Cover Change Using Markov and Cellular Automata Models: Case of Al-Ain,UAE, 1992-2030

The UAE has witnessed rapid urban development and economic growth in recent years. With its ambitious vision to become one of the advanced nations by 2021, planners and policy-makers need to know the most likely direction of future urban development. In this study, remotely sensed imagery coupled with cellular automata models were used to predict land cover in Al Ain, the second largest city in the Emirate of Abu Dhabi. Markov and cellular automata models were used for 1992 and 2006 to predict land cover in 2012. Land Use and Land Cover maps for the study area were derived from 1992, 2006, and 2012 Landsat satellite images (TM, ETM⁺). The models achieved an overall accuracy of approximately 80 %. A Markov model was applied for 2006 and 2012 to predict land cover in 2030. The results conformed to the general trend of the Al Ain Master Plan 2030. This study demonstrates that remote sensing, with the availability of free Landsat data, is a viable technology that could be used to help in the prediction process especially in developing countries, where data availability is a problem.     

Land use mapping of kandi belt of jammu region

Digital image processing on IRS-1C-LISS-III data acquired on October 13, 1998 has been carried out to map the land use classes in part of the Kandi belt, the submontane tract lying in the Outer Himalaya of Jammu region of Jammu and Kashmir. Supervised classification has been combined with rule-based classification to delineate various land use classes. The various categories of land use in the area recognized are forest, agriculture, riverbed, urban, fallow, wasteland and water. Forest is dominant along the upper boundary of the Kandi belt (along Siwalik) and on ridges, whereas, agriculture land is mainly along the lower boundary (along Sirowal) of the study area.     

微型无人机助力土地整治项目监管

结合国土资源部土地整治中心对土地整治项目监管的需求背景、应用现状与发展趋势,分析了利用微型无人机进行土地整治项目监管的适宜性,并分享了微型无人机在土地整治项目监管应用中的程序、方法和遥感监测发现的问题,最后对利用微型无人机改善和提升土地整治项目管理手段和监管方式提出了建议。     

Impacts of Land Use and Land Cover Changes on Sediment Yield in a Brazilian Amazon Drainage Basin

Land use and land cover changes have as consequences several social, economic, and environmental impacts. The understanding of these changes allows a better planning of public policies in order to map and monitor areas more susceptible to environmental problems. This research presents an analysis of the land use and land cover changes of a watershed region located in the Brazilian Amazon, and an evaluation of their impacts on sediment yield. Land use/land cover maps for each of the analyzed time periods (1973, 1984, and 2005) were compiled using images obtained by MSS/Landsat-1, TM/Landsat-5, and the MODIS/Terra sensors. The sediment yield modeling was performed by dividing the watershed into homogeneous subregions. Each of the subregions received average attributes that were used as input parameters for the Universal Soil Loss Equation. The results revealed that up to 2005, around 40% of the study area was already deforested, replaced by agricultural activities. In some parts of the watershed these changes were responsible for an increase of up to 7 ton/ha in annual average sediment yield. This study was successful in providing an assessment of the magnitude and spatial distribution of the changes.     

土地整理可持续发展评价研究

现阶段我国多数地区土地整理的目标主要是扩大耕地数量、补偿建设占用的耕地,并未进入以提高土地生产能力、改善生态环境为目标的可持续发展阶段。因此,在土地整理活动中融入"可持续发展"的理念是非常重要。本文以外屯土地整理项目为例,以期推动土地整理可持续发展评价的理论研究和实践工作。     

Land resource inventory of Naurar subcatchment

Soil and Land Use Survey of Naurar subcatchment in Almora district of Uttar Pradesh was conducted to assist the authorities of the G. B. Pant University of Agriculture and Technology in their “Area Development Project”. Execution of appropriate soil conservation measures and adoption of improved agricultural practices both aimed at the betterment of the socioeconomic conditions of the population of this backward hilly tract are the major objectives of the project. The University Specialists belonging to various disciplines propose to tackle the problem on an integrated basis. A large scale soil and land use map was prepared through the adoption of a systematic Aerial Photo interpretaion procedure. For this purpose 36 large scale Panchromatic vertical aerial photographs in the scale of 1: 15,000 covering a greater part of the subcatchment and three medium scale aerial photographs in the approximate scale of 1: 40,000 were used both for systematic aerial photo-interpretation and compilation of the data during the field work. The survey provides information about the different taxonomie soil classes in the area. It is observed that about 78.7% of the area is covered under Typic Ustorthents. The erosion hazards have also been mapped and revealed 27.3% of the area under moderate to severe erosion and 26.7% under severe to very severe erosion. Broad suggestions for proper utilisation of land resources have also been made.     

近十二年兰州市土地利用变化的动态监测

为了加强兰州市对土地类型和土地利用变化的监测,本文在ENVI和ArcGIS平台上,基于最大似然分类法,利用Landsat TM和ETM+卫星遥感影像实现了兰州市的土地利用分类,然后据此生成地物类别转移矩阵。最后对1999~2011年的土地利用/土地覆盖从范围和转变的类型进行了时空上的动态分析。     

垦区与农区耕地配置模式对比研究

以富锦市为研究区域,运用地理信息系统、土地资源学、土地利用规划学的知识,并结合景观生态学的相关知识,对该区域垦区与农区的耕地配置模式进行对比分析,着重从垦殖率、耕地内部数量结构、空间分布特征、斑块特征、居民点等方面探讨二者耕地配置模式的异同。结果表明:农区垦殖率为81.94%,高于垦区的70.64%;农区的水田、旱地面积相差悬殊,旱地面积接近于水田的7倍;农区、垦区水旱混合区分别占耕地总面积的13.28%和36.15%;农区水田斑块为10.81ha,小于垦区的21.38ha。最后为土地整治项目提出了一些参考建议,旨在促进农业现代化发展。     

Development of National Database on Long-term Deforestation in Sri Lanka

Sri Lanka is one of the biodiversity hotspots of the world. This study has utilized satellite remote sensing and GIS techniques to generate a nation-wide database on forests, forest types and land use/land cover of Sri Lanka. Spatial assessment of forest cover changes was carried out for the periods 1976–1985, 1985–1994, 1994–2005 and 2005–2014. The landscape fragmentation analysis has carried out to calculate the spatial and temporal patterns of forest. Land use/land cover map was prepared representing seven classes in 2014. The plantations occupy a large area (34.2%) followed by forests (33.4%) and agriculture (26.1%) in 2014. During the period of 1976–2014, the forest has been decreased by 5.5%. From 1976 to 1985 forest recorded a loss at an annual rate of 0.49%. This annual rate decreased to 0.01% during 2005–2014 indicates declining trend of deforestation and effective conservation measures. The study found deforestation hotspots in south east and northern most parts of the Sri Lanka. Total number of patches estimated has increased from 15193 in 1976 to 16136 in 2014. The study has found that main causes of deforestation in Sri Lanka were due to expansion of agriculture and plantations. The extent of change detected in the study through geospatial techniques has significance to the forest ecology and management of natural landscapes in Sri Lanka.     

老挝Phonxay区土地利用/土地覆盖遥感调查

老挝是一个发展中国家,境内的大多数地方没有开展过土地利用/土地覆盖调查。本文选择老挝琅勃拉邦省的Phonxay区为研究区域,利用Landsat OLI数据进行土地利用/土地覆盖遥感调查与分析。研究过程中,利用ArcGIS Desktop选择训练样本和验证样本,通过Python和ArcPy编程开发了图像分类、精度评价以及面积统计的工作流程序,实现了快速得到分类结果和精度评价信息,分类结果的总精度为89.53%,Kappa系数为0.81。     

Monitoring Urban Landscape Dynamics Over Delhi (India) Using Remote Sensing (1998–2011) Inputs

Urbanization is increasingly becoming a widespread phenomenon at all scales of development around the globe. Be it developing or developed nations, all are witnessing urbanization at very high pace. In order to study its impacts, various methodologies and techniques are being implemented to measure growth of urban extents over spatial and temporal domains. But urbanization being a very dynamic phenomenon has been facing ambiguities regarding methods to study its dynamism. This paper aims at quantifying urban expansion in Delhi, the capital city of India. The process has been studied using urban land cover pattern derived from Landsat TM/ETM satellite data for two decades (1998–2011). These maps show that built-up increased by 417 ha in first time period (1998–2003) and 6,633 ha during next period (2003–2011) of study. For quantification of metrics for urban expansion, the Urban Landscape Analysis Tool (ULAT) was employed. Land cover mapping was done with accuracy of 92.67 %, 93.3 % and 96 % respectively for years 1998, 2003 and 2011. Three major land covers classes mapped are; (i) built-up, (ii) water and (iii) other or non-built-up. The maps were then utilized to extract degree of urbanization based on spatial density of built-up area consisting of seven classes, (i) Urban built-up, (ii) Suburban built-up,(iii) Rural built-up, (iv) Urbanized open land, (v) Captured open land, (vi) Rural open land and (vii) Water. These classes were demarcated based on the urbanness of cells. Similarly urban footprint maps were generated. The two time maps were compared to qualitatively and quantitatively capture the dynamics of urban expansion in the city. Along with urbanized area and urban footprint maps, the new development areas during the study time periods were also identified. The new development areas consisted of three major categories of developments, (i) infill, (ii) extension and (iii) leapfrog.     

Monitoring Spatial and Temporal Land Use/Cover Changes; a Case Study in Western Black Sea Region of Turkey

Rapid land use/land cover changes have taken place in many cities of Turkey. Land use and land cover changes are essential for wide range of applications. In this study, Landsat TM satellite imageries date from 1987, 1993, 2000 and 2010 were used to analyse temporal and spatial changes in the Western Black Sea Region of Turkey. Zonguldak and Eregli two largest and economic important cities which have been active coal mining and iron fabric areas. Maximum Likelihood Classification technique was implemented and the results were represented in classes of open area, forest, agricultural, water, mining, urban and pollution in the sea. Urban areas on both cities increased from 1987 to 2010. The agricultural and open areas from 1987 to 2010 decreased in parallel to land use and land cover change in both cities. Meanwhile, forest areas increased continuously with about 20 % from 1987 to 2010 in both cities. As industrial activity, the coal fields doubled from 1987 to 2010.     

浅谈第二次全国土地调查土地利用分类

对拜城县第二次全国土地调查中所遇到的土地利用分类问题及处理方法进行讨论,目的是加强土地利用分类标准在实际调查中的可操作性,促进"城乡一体""跨行衔接"的现代多用途地籍发展,使之更好地为国土行业服务。