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Establishment of deformation and subsidence monitoring baseline in the coastal environment: A case study of University of Lagos 海岸环境变形和沉降监测基线的建立——以拉各斯大学为例
IF 0.5 Q4 REMOTE SENSING Pub Date : 2020-02-27 DOI: 10.4314/sajg.v9i1.2
Alfred S. Alademomi, Mayaki Anthony Omeiza, Daramola Olagoke Emmanuel, Salami Tosin Julius, O. Bolarinwa
Deformation and subsidence measurements are very vital for stability of structures and buildings. Deformation and subsidence monitoring are easily carried out with the aid of established baselines. This study focuses on the establishment of baseline for monitoring deformation and subsidence within university of Lagos. Geodetic method of control establishment was adopted, where five (5) control stations were established on stable grounds across the university of Lagos main campus with Differential GPS observation carried out on them and data obtained were processed and analysed statistically. The result of the findings shows that the baseline established is very reliable, given that the vertical controls have their relative redundancy number rij ranging between 0.1
变形和沉降测量对结构和建筑物的稳定性至关重要。借助已建立的基线,便于进行变形和沉降监测。本研究的重点是拉各斯大学内部变形和沉降监测基线的建立。控制建立采用大地测量法,在拉各斯大学主校区的稳定地面上建立5个控制站,对其进行差分GPS观测,并对数据进行处理和统计分析。研究结果表明,考虑到垂直控制的相对冗余数rij在0.1
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引用次数: 0
Water quality and influence of interpolation procedure on visualization of selected parameters in a headwater stream, in Ayepe-Olode, southwestern Nigeria 尼日利亚西南部Ayepe-Olode水源水质及插值程序对选定参数可视化的影响
IF 0.5 Q4 REMOTE SENSING Pub Date : 2020-02-27 DOI: 10.4314/sajg.v9i1.4
A. Eludoyin, O. S. Ijisesan
Data interpolation – construction of new data points within range of a discrete set of known data point – is an important modeling activity in geographical studies. In this study, three commonly applied interpolation methods (nearest point, kriging and moving average) were examined in an assessment of the varying dispersion of selected physical and chemical parameters of stream-borne effluents from palm oil processing area in a growing commercial centre in Ife South local government area in Nigeria. Specific objectives were to examine selected physiochemical properties of a stream that receives palm oil effluent, and compare results of a kriging interpolation using derived variogram values with that which was based on the accepted parametric default in a popular geographical information system. The study also presents visualised results of interpolation of selected parameters based on ordinary kriging, moving average and nearest point interpolation. Analysis were achieved using PAST 3 and ILWIS GIS software. Result showed that although the stream is vulnerable to contamination by the palm oil processing activities around the area, it also receives contaminants from other non-source points that were not investigated in this study. It also indicated that the different point interpolation methods did not produce similar results. Whereas the values of conductivity were interpolated to vary as 120.1 – 219.5 μScm-1 with kriging interpolation, it varied as 105.6 – 220.0 μScm-1 and 135.0 – 173.9 μScm-1, with nearest point and moving average interpolations, respectively. Also, whereas the computed variogram model produced the best fit lines with Gaussian model, the Spherical model was assumed default for all the distributions in selected GIS software, such that the value of Nugget was assumed as 0.00, when it actually varies with data locations distribution. Conclusively, procedure of estimating spatial variation always produce results that are influenced by data distribution and model assumptions, and as such the data characteristics rather than GIS software’s defaults are appropriate for consideration in geospatial evaluation.
数据插值——在一组离散的已知数据点范围内构建新的数据点——是地理研究中的一项重要建模活动。在这项研究中,研究了三种常用的插值方法(最近点法、克里格法和移动平均法),以评估尼日利亚Ife South地方政府区一个不断发展的商业中心棕榈油加工区流载废水的选定物理和化学参数的变化分散性。具体目标是检查接收棕榈油流出物的溪流的选定理化性质,并将使用推导的变差函数值的克里格插值结果与基于流行地理信息系统中可接受的参数默认值的结果进行比较。该研究还展示了基于普通克里格、移动平均和最近点插值的选定参数插值的可视化结果。利用PAST3和ILWIS GIS软件进行了分析。结果表明,尽管该河流容易受到该地区周围棕榈油加工活动的污染,但它也会受到本研究未调查的其他非来源点的污染。研究还表明,不同的点插值方法并没有产生相似的结果。尽管使用克里格插值将电导率值插值为120.1–219.5μScm-1,但使用最近点插值和移动平均插值,电导率值分别为105.6–220.0μScm-1和135.0–173.9μScm-1。此外,尽管计算的变差函数模型产生了高斯模型的最佳拟合线,但球形模型被假设为选定GIS软件中所有分布的默认值,因此当Nugget的值实际随数据位置分布而变化时,它被假设为0.00。总之,估计空间变化的过程总是产生受数据分布和模型假设影响的结果,因此,在地理空间评估中,数据特征而不是GIS软件的默认值是合适的。
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引用次数: 1
Comparative assessment of homogeneity differences in multi-temporal NDVI strata and the currently used agricultural area frames in Rwanda 对卢旺达多时间NDVI地层和目前使用的农业区框架的同质性差异进行比较评估
IF 0.5 Q4 REMOTE SENSING Pub Date : 2020-02-27 DOI: 10.4314/sajg.v9i1.7
M. Mugabowindekwe, G. Rwanyiziri
This study compared two methods used for agricultural statistics generation in Rwanda. The first method is area frame sampling, which is also the currently used method in Rwandan seasonal agricultural surveys; while the second method is the application of remote sensing technique using multi-temporal Normalised Difference Vegetation Index (NDVI) classes to stratify land into homogenous agriculture land classes. The analysis of the methodological flow of Rwanda area frames and the estimated homogeneity in the resulting frames was mainly based on literature review. For the delineation of homogeneous NDVI classes, the study used 10 years data from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor (2004 – 2014). The NDVI data were classified using ISODATA clustering technique, and the focus was put on agriculture-dominated classes, obtained through the intersection with 2010 national land use and land cover data. Analysis of Variance (ANOVA) and Fisher’s Least Significant Difference (LSD) statistical methods were applied to investigate significant differences between and within NDVI classes and the currently used Rwanda strata in terms of area coverage of four (4) dominant crops in Rwanda – banana, maize, cassava, and beans. The results of the analysis revealed homogeneity of 85% within NDVI classes, and 69% within the current Rwanda strata, at p = 0.05. The NDVI classes were also used to improve the Rwanda strata, and the homogeneity has increased by 5%; reaching 74% after NDVI-based reclassification.
本研究比较了卢旺达用于农业统计生成的两种方法。第一种方法是区域框架抽样,这也是卢旺达季节性农业调查目前使用的方法;第二种方法是应用遥感技术,利用多时相归一化植被指数(NDVI)分类将土地划分为同质的农业用地类别。对卢旺达地区框架的方法学流程和由此产生的框架的估计同质性的分析主要基于文献综述。为了描述均匀的NDVI类别,研究使用了中分辨率成像光谱仪(MODIS)传感器10年(2004 - 2014)的数据。采用ISODATA聚类技术对NDVI数据进行分类,并将其与2010年全国土地利用和土地覆盖数据进行交叉分析,得到以农业为主的类。采用方差分析(ANOVA)和Fisher 's Least Significant Difference (LSD)统计方法来调查卢旺达四种主要作物(香蕉、玉米、木薯和豆类)的面积覆盖情况,NDVI类别和卢旺达目前使用的地层之间和内部的显著差异。分析结果显示,在NDVI分类中,均匀性为85%,在卢旺达当前地层中,均匀性为69%,p = 0.05。NDVI分级也用于改善卢旺达地层,均匀性提高了5%;在基于ndi的重新分类后达到74%。
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引用次数: 2
Mapping land suitability for maize (Zea mays L.) production using GIS and AHP technique in Zimbabwe 利用GIS和AHP技术绘制津巴布韦玉米生产土地适宜性图
IF 0.5 Q4 REMOTE SENSING Pub Date : 2019-10-09 DOI: 10.4314/sajg.v8i2.11
W. Chivasa, O. Mutanga, Ç. Biradar
The study integrates geographic information system (GIS) and analytic hierarchy process (AHP) to evaluate land suitability for maize production in Zimbabwe using multi-criteria evaluation (MCE) process. Four thematic maps based on rainfall, temperate, soil type and slope were integrated through overlay technique in a GIS environment to produce maize production suitability map. The resultant maize suitability map was overlaid with constraints map to ‘mask out’ all non-agricultural land. The final maize suitability map shows that 3.20% of the total land is highly suitable, 16.56% is suitable, 25.34% is moderately suitable, 32.33% is marginally suitable and 9.57% is not suitable for maize production in its current form. The maize suitability classification was validated by regression analyses using measured maize grain yield of 5 key maize varieties representing 5 different maturity groups. Grain yield was regressed against suitability index (SI) of each land class. There were significant positive correlations between maize grain yield and land suitability classes (R2 = 0.63 - 0.85). Integrating GIS and AHP with MCE is effective in assessing land suitability for targeting location specific interventions for maize production and the result is a comprehensive suitability map for Zimbabwe, incorporating several critical environmental factors affecting maize adaptation. We recommend the use of this suitability map as a decision support tool in land use planning and policy making.
该研究将地理信息系统(GIS)和层次分析法(AHP)结合起来,利用多标准评价(MCE)方法对津巴布韦玉米生产的土地适宜性进行了评价。在GIS环境下,通过覆盖技术将基于降雨、温带、土壤类型和坡度的4个专题图进行整合,生成玉米生产适宜性图。将得到的玉米适宜性图与约束图叠加,以“掩盖”所有非农业用地。最终的玉米适宜性图显示,目前玉米适宜性占总用地的3.20%,适宜性占16.56%,适宜性占25.34%,适宜性占32.33%,不适宜性占9.57%。利用代表5个不同成熟度组的5个重点玉米品种的实测玉米产量,通过回归分析验证了玉米适宜性分类。对各土地类别的适宜性指数(SI)进行了粮食产量回归。玉米产量与土地适宜性等级呈显著正相关(R2 = 0.63 ~ 0.85)。将GIS和AHP与MCE相结合,可以有效地评估针对特定地点的玉米生产干预措施的土地适宜性,结果是津巴布韦的综合适宜性图,其中包含影响玉米适应的几个关键环境因素。我们建议在土地利用规划和政策制定过程中,将此适宜性图作为决策支持工具。
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引用次数: 11
Detection of land use / cover changes of the KOSH region over a period of 14 years using the South African National Land Cover datasets for 2000 and 2014 利用2000年和2014年南非国家土地覆盖数据集检测KOSH地区14年期间的土地利用/覆盖变化
IF 0.5 Q4 REMOTE SENSING Pub Date : 2019-10-09 DOI: 10.4314/sajg.v8i2.1
Abraham Thomas
Simple algebraic change detection techniques viz. image difference and image ratio were applied to the South African national land use / cover (NLC) datasets of years 2000 and 2014, prepared in grid format covering the Klerksdorp–Orkney–Stilfontein–Hartebeestfontein (KOSH) region in order to assess land use/land cover changes. Both the 2000 and 2014 NLC datasets were generated from Landsat images using different classification schemes and the code values & attributes of the land cover classes of the two datasets were different/not comparable. In order to make these datasets comparable for change detection, the NLC2000 dataset was examined in ArcView GIS by superimposing it onto the NLC2014 dataset and similarities and differences were identified. For each cover type of the NLC2000 dataset, comparable cover type of the 2014 dataset was identified by making a query to the NLC2000 dataset and after viewing the spatial distributions of selected units in respect of the NLC2014 dataset. Suitable code values of NLC2014 dataset were identified for the NLC2000 dataset and it was later reclassified. The land use / cover change detection study reveals that increase in areas were observed for the cover types: Cultivated common fields (low), Cultivated common fields (med), Mines 2 semi-bare, Wetlands, Urban commercial and Plantations/woodlots mature. The Grassland, Thicket/dense bush, Urban residential (dense trees/bush), Mines 1 bare, and Cultivated common pivots (high) showed a decrease in places. During the 14 years, Grassland had decreased from 2,132.47 km2 (77.35% of the total area) to 1,629.78 km2 (59.11% of the total area) owing to landscape transformation to other land covers (e.g. Cultivated common fields and Urban residential) due to human activities. The percentage increase in areas observed for the Cultivated common fields (low and medium) were 8.21% and 2.96% while the Mines 2 semi-bare, Wetlands, Urban commercial, Plantations/woodlots mature showed increases of 0.67%, 0.32%, 0.28% and 0.23% respectively. The area of Thicket/dense bush decreased from 108.15 km2 to 56.71 km2 (change of 1.87%). Maps of land use/land cover changes and statistics obtained for the changed areas are very useful for identifying various changes occurring in different classes and for monitoring land use dynamics.
为了评估南非Klerksdorp-Orkney-Stilfontein-Hartebeestfontein (KOSH)地区2000年和2014年的国家土地利用/覆盖(NLC)数据集的土地利用/覆盖变化,采用了简单的代数变化检测技术,即图像差分和图像比值。2000年和2014年NLC数据集都是由不同分类方案的Landsat图像生成的,两组数据集的土地覆盖类别代码值和属性不同/不可比较。为了使这些数据集在变化检测方面具有可比性,在ArcView GIS中通过将NLC2000数据集叠加到NLC2014数据集上来检查NLC2000数据集,并确定其相似性和差异性。对于NLC2000数据集的每种覆盖类型,通过查询NLC2000数据集并查看NLC2014数据集的选定单元的空间分布,确定了2014数据集的可比覆盖类型。将NLC2014数据集的合适码值识别为NLC2000数据集,并对其进行重新分类。土地利用/覆盖变化检测研究表明,覆盖类型的面积增加:耕地(低)、耕地(高)、矿山(半裸地)、湿地、城市商业和成熟的人工林/林地。草地、灌丛/密灌木、城市居民(密树/密灌木)、矿山1裸地、耕地共同支点(高)的分布呈下降趋势。14年间,受人类活动影响,草地由2132.47 km2(占总面积的77.35%)减少到1629.78 km2(占总面积的59.11%)。耕地(低、中)面积增加了8.21%和2.96%,而矿山2半裸地、湿地、城市商业、成熟人工林/林地面积分别增加了0.67%、0.32%、0.28%和0.23%。灌丛面积从108.15 km2减少到56.71 km2,变化幅度为1.87%。土地利用/土地覆盖变化的地图和从变化地区获得的统计数据,对于确定不同类别发生的各种变化和监测土地利用动态非常有用。
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引用次数: 0
The South African land cover change detection derived from 2013_2014 and 2017_2018 land cover products 2013_2014和2017_2018土地覆盖产品的南非土地覆盖变化检测
IF 0.5 Q4 REMOTE SENSING Pub Date : 2019-10-09 DOI: 10.4314/sajg.v8i2.4
L. Ngcofe, R. Hickson, Pradeep Singh
The appetite for up-to-date information about the earth’s surface is ever increasing, as such information provides a basis for a large number of applications. These include the earth’s resource detection and evaluation, land cover and land use change monitoring together with other vast environmental studies such as climate change assessment. Due to the advantages of repetitive data acquisition, the synoptic view, together with the varied spatial resolution it provides, and its available historically achieved dataset, remote sensing earth observation has become the major preferred data source for various earth studies. This study assesses land cover change detection of the land cover products (2013_2014 and 2017_2018) derived from earth observation.There are vast number of change detection methodologies and techniques with some still emerging. This study embarked on post classification change detection methodology which entailed morphological and spectral filtering techniques. The 10 land cover classes that were assessed for change detection are: natural wooded land, shrubland, grassland, waterbodies, wetlands, barren lands, cultivated, built-up, planted forest together with mines and quarries. The change detection accuracy result was 74.97%. Through the likelihood analysis, the likelihood for change to occur (e.g. cultivated to grassland) and unlikelihood of change to occur (e.g. built-up to planted forest), resulted in 72.2% areas of potential realistic change.The change detection results, further depend on the quality, compatibility and accuracy of the input land cover datasets. The application of different ancillary data together with different modelling techniques for land cover classification also affect the true reflectance of land cover change detection. Therefore extra caution should be exercised when analysing change detection so as to provide true and reliable changes.
对有关地球表面的最新信息的需求不断增加,因为这些信息为大量应用提供了基础。其中包括地球资源探测和评价、土地覆盖和土地利用变化监测以及气候变化评估等其他广泛的环境研究。由于遥感对地观测具有重复性数据采集、天气视图及其提供的不同空间分辨率和历史数据集的优势,已成为各种地球研究的主要首选数据源。本研究对2013 ~ 2014年和2017 ~ 2018年地球观测所得土地覆盖产品的土地覆盖变化检测进行了评估。有大量的变更检测方法和技术,其中一些还在不断涌现。本研究开展了分类后变化检测方法,包括形态学和光谱滤波技术。为检测变化而评估的10个土地覆盖类别是:天然林地、灌木地、草地、水体、湿地、荒地、耕地、人工林以及矿山和采石场。变化检测准确率为74.97%。通过似然分析,发生变化的可能性(如耕地到草地)和不发生变化的可能性(如建成林到人工林),导致72.2%的潜在现实变化面积。变化检测结果进一步取决于输入的土地覆盖数据集的质量、兼容性和准确性。不同辅助数据的应用以及不同的土地覆盖分类建模技术也会影响土地覆盖变化检测的真实反射率。因此,在分析变更检测时应格外小心,以便提供真实可靠的变更。
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引用次数: 2
Landscape metrics analysis of land use patterns and changes in suburban local government areas of Ibadan, Nigeria 尼日利亚伊巴丹郊区地方政府区域土地利用模式和变化的景观指标分析
IF 0.5 Q4 REMOTE SENSING Pub Date : 2019-10-09 DOI: 10.4314/sajg.v8i2.7
A. Olayiwola, O. Fakayode
This study examined the spatiotemporal pattern of urban growth and magnitude of changes in selected Local Government Areas (LGAs) in the suburban area of Ibadan using remote sensing cum spatial metrics. Data for the study were obtained from administrative maps of the study area, population data and satellite imageries. All of these were complemented with ground validations using Global Positioning System (GPS) receiver. Periods of change analysis were divided into two epochs; 1986 to 2002 and 2002 to 2017. The imageries were classified into four landuse/cover classes based on Anderson’s modified version of supervised classification scheme. Accuracy assessment of the imageries was carried out using 100 randomly sampled ground truth points. Ten spatial metrics were selected for analysis using Fragstats program. Results show a significant loss in vegetation due to conversion (Land Consumption Rate, LCR = 0.025, 0.019 and 0.027; Land Absorption Coefficient, LAC = 0.012 and 0.048). Moreover, there was a persistent increase in Number of Patches (NP) indicating a scattered and fragmented but continuous development. However, dwindling values of Patch Density (PD = 90.94, 27.07 and 30.30) indicate expansion through conversion of other landuses at varying rates. Results also indicate an incidence of fragmented low density development in the fringe areas (Area Weighted Mean Patch Fractal Dimension, AWMPFD = 1.37 and 1.39). The study highlights the chaotic land development and unrestrained urban expansion in the study area.
本研究使用遥感和空间指标研究了伊巴丹郊区选定地方政府区域的城市增长时空模式和变化幅度。研究数据来自研究区域的行政地图、人口数据和卫星图像。所有这些都得到了使用全球定位系统(GPS)接收器进行地面验证的补充。变化分析的时期分为两个时期;1986年至2002年和2002年至2017年。根据Anderson监督分类方案的修改版本,将图像分为四个土地利用/覆盖类别。使用100个随机采样的地面实况点对图像进行精度评估。使用Fragstats程序选择了10个空间指标进行分析。结果表明,由于转换,植被显著损失(土地消耗率,LCR=0.025、0.019和0.027;土地吸收系数,LAC=0.012和0.048)。此外,斑块数量(NP)持续增加,表明其呈分散、分散但持续的发展。然而,斑块密度值的下降(PD=90.94、27.07和30.30)表明,通过以不同的速率转换其他土地用途,斑块密度发生了扩张。研究结果还表明,边缘地区存在碎片化低密度发展(面积加权平均斑块分形维数,AWMPFD=1.37和1.39)。
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引用次数: 1
Estimation of foliar nitrogen using remotely sensed data: A quantitative review 利用遥感数据估算叶面氮素的定量研究进展
IF 0.5 Q4 REMOTE SENSING Pub Date : 2019-10-09 DOI: 10.4314/sajg.v8i2.6
Rowan Naicker, O. Mutanga, K. Peerbhay
Several ecosystems have been significantly altered by anthropogenic nitrogen inputs. The timely estimation of nitrogen concentration is essential for ensuring environmental sustainability. Academic publications between 1966 and 2016 were reviewed to assess the potential of remotely sensed information to estimate nitrogen concentrations for various applications. A discriminatory keyword search and a set of inclusion criteria was used to develop a representative sample (n = 100). Results revealed that the global distribution of academic publications is skewed towards the Northern Hemisphere with the largest research gap occurring within Africa. Moreover, prior to 2006, research into the remote estimation of nitrogen had a minor presence in literature, with the agricultural sector being the most extensively researched (56%). Freely available, high spatial and temporal resolution imagery has afforded research into the remote estimation of nitrogen in the African continent, particularly in the subject area of policy and management, the capacity to grow.
一些生态系统因人为氮输入而发生了重大变化。及时估计氮浓度对于确保环境可持续性至关重要。对1966年至2016年的学术出版物进行了审查,以评估遥感信息在各种应用中估计氮浓度的潜力。使用歧视性关键词搜索和一组纳入标准来开发具有代表性的样本(n=100)。结果显示,学术出版物的全球分布偏向北半球,其中非洲的研究差距最大。此外,在2006年之前,对氮的远程估算的研究在文献中很少出现,其中农业部门的研究最为广泛(56%)。免费提供的高空间和时间分辨率图像为非洲大陆氮的远程估计提供了研究,特别是在政策和管理主题领域,提供了增长的能力。
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引用次数: 2
Spatio-temporal assessment of changing land surface temperature and depleting water in the Lake Chad area 乍得湖地区地表温度变化与耗水的时空评价
IF 0.5 Q4 REMOTE SENSING Pub Date : 2019-10-09 DOI: 10.4314/sajg.v8i2.3
P. Nwilo, A. A. Umar, M. Adepoju, C. Okolie
Lake Chad is located at the south of the Sahara Desert in an arid region. The lake’s water resources are under severe pressure due to the basic needs of the growing population around the lake, global warming, and increasing irrigation demands. Numerous land cover change studies have measured the rate of depletion of the lake’s surface water. However, the contribution of the increasing high temperatures in the region which is also a compounding factor has received little attention. In this study, an assessment of the changes in surface water extent of Lake Chad from 1973-2017 was carried out through a land cover analysis. The potential influence of the rising land surface temperatures on the water losses was also studied. The extraction of the land cover was done using maximum likelihood classification. The results show that between 1973 and 1987, the lake lost 12,796.81km2 of its surface water area. This period coincided with a season of drought and dry seasons reported to have occurred in the lake’s area during the 1970s. Between 1987 and 2003, average temperature rise and change in surface water area was +1.54˚C and +962.71km2 respectively. Between 2003 and 2017, average temperature rise and change in surface water area was +3.69˚C and -25.17km2 respectively. These results provide further evidence of the alarming rate of water loss in the lake’s environment, and suggest a link between rising land surface temperatures and diminution of the lake’s water. The findings inform efforts directed at addressing the ecological problem facing the lake.
乍得湖位于撒哈拉沙漠以南的干旱地区。由于湖泊周围不断增长的人口的基本需求、全球变暖和日益增长的灌溉需求,湖泊的水资源面临着严重的压力。大量的土地覆盖变化研究已经测量了湖泊地表水的消耗率。然而,该地区高温升高的影响,也是一个复合因素,却很少受到关注。在本研究中,通过土地覆盖分析对乍得湖1973-2017年地表水范围的变化进行了评估。还研究了地表温度升高对水分损失的潜在影响。土地覆盖的提取是使用最大似然分类法进行的。结果表明,1973年至1987年间,该湖失去了12796.81km2的地表水面积。这一时期恰逢20世纪70年代该湖地区出现的干旱和旱季。1987年至2003年间,地表水面积的平均温升和变化分别为+1.54˚C和+962.71km2。2003年至2017年间,地表水面积的平均温升和变化分别为+3.69˚C和-25.17km2。这些结果进一步证明了湖泊环境中惊人的水量损失率,并表明地表温度上升与湖泊水量减少之间存在联系。这些发现为解决该湖面临的生态问题提供了依据。
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引用次数: 1
Using a domain model of social tenure to record land rights: A Case Study of Itaji-Ekiti, Ekiti State, Nigeria 使用社会保有权领域模型记录土地权利:以尼日利亚埃基提州Itaji Ekiti为例
IF 0.5 Q4 REMOTE SENSING Pub Date : 2019-10-09 DOI: 10.4314/sajg.v8i2.8
K. H. Babalola, Simon Hull
Formal land registration systems have failed to accommodate the wide range of land tenure claims found in developing countries, including land rights under customary and informal tenure systems, thereby leaving the rural people with insecure tenure. To reduce poverty, empower the poor, and ensure economic growth, security of tenure is beneficial. This paper investigates how the Social Tenure Domain Model (STDM) can be applied to record customary and informal land rights at Itaji-Ekiti, Nigeria. Primary data was collected by administering questionnaires on a house-to-house basis and conducting interviews with land rights holders. Spatial data was recorded using a handheld Global Positioning System (GPS) Garmin Oregon 300 and a mobile application (Topographic Mapper). Secondary data was collected from reports, journal articles, published books and the Google Earth image repository. The data collected through the administered questionnaires was used to analyse perceptions of tenure by the holders of land rights. This study provides additional knowledge for researchers in the field of Cadastral Surveying, as it tested the applicability of the STDM. The model will also help the government of Nigeria with the necessary data for the upgrading of informal settlements, which will provide integrity in land administration.
正式的土地登记制度未能容纳发展中国家广泛的土地所有权要求,包括习惯和非正式的土地所有权制度下的土地权利,从而使农村人民的土地所有权没有保障。为了减少贫困、增强穷人的权能和确保经济增长,使用权的保障是有益的。本文研究了如何将社会权属领域模型(STDM)应用于记录尼日利亚伊塔吉-埃基蒂的习惯和非正式土地权利。通过挨家挨户发放调查问卷和与土地权利人进行访谈来收集原始数据。使用手持全球定位系统(GPS) Garmin Oregon 300和移动应用程序(Topographic Mapper)记录空间数据。次要数据收集自报告、期刊文章、出版书籍和谷歌地球图像库。通过管理问卷收集的数据被用来分析土地权利人对权属的看法。这项研究为地籍测量领域的研究人员提供了额外的知识,因为它测试了STDM的适用性。该模型还将帮助尼日利亚政府获得必要的数据,以改善非正规住区,从而在土地管理方面提供完整性。
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引用次数: 4
期刊
South African Journal of Geomatics
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