新疆棉花遥感识别模型研究

依据新疆主要农作物的农时历及作物的地面光谱数据,论证了在TM遥感影像中识别棉花的最佳波段为第4波段,最佳识别月份为9月,最后通过TM遥感影像上对应的波段数据进行了验证,确定了棉花的识别模式。     

Comparison of remote sensing indices for monitoring of desert cienegas

This research considers the applicability of different vegetation indices at 30 m resolution for mapping and monitoring desert wetland (cienega) health and spatial extent through time at Cienega Creek in southeastern Arizona, USA. Multiple stressors including the risk of decadal-scale drought, the effects of current and predicted global warming, and continued anthropogenic pressures threaten aquatic habitats in the southwest and cienegas are recognized as important sites for conservation and restoration efforts. However, cienegas present a challenge to satellite-imagery based analysis due to their small size and mixed surface cover of open water, exposed soils, and vegetation. We created time series of five well-known vegetation indices using annual Landsat Thematic Mapper (TM) images retrieved during the April–June dry season, from 1984 to 2011 to map landscape-level distribution of wetlands and monitor the temporal dynamics of individual sites. Indices included the Normalized Difference Vegetation Index (NDVI), the Soil-Adjusted Vegetation Index (SAVI), the Normalized Difference Water Index (NDWI), and the Normalized Difference Infrared Index (NDII). One topographic index, the Topographic Wetness Index (TWI), was analyzed to examine the utility of topography in mapping distribution of cienegas. Our results indicate that the NDII, calculated using Landsat TM band 5, outperforms the other indices at differentiating cienegas from riparian and upland sites, and was the best means to analyze change. As such, it offers a critical baseline for future studies that seek to extend the analysis of cienegas to other regions and time scales, and has broader applicability to the remote sensing of wetland features in arid landscapes.     

官厅水库库区水生植物演变格局时空变化特征分析

利用中等分辨率长时间序列的TM遥感影像(1995—2007年),采用面向对象的分类方法,以多尺度分割技术为核心,提取了官厅水库水生植物空间分布信息,在斑块类型和景观级别尺度上,共筛选了8个高度浓缩景观格局信息的定量指标,结合水生植物空间分布的质心变化,分析了水生植物演变格局的时空变化特征。研究表明:(1)1995—2007年,受水域面积的扩张和萎缩的影响,库区水生植物面积及其平均斑块面积呈明显地增加和减少趋势:沉水植物波动幅度比较明显,呈先小幅扩张后急剧萎缩的趋势,2000年之前,随水域的扩张,其面积增加了30.2 km2,相对动态度达116.87%;之后,随着水域面积的持续萎缩,沉水植物面积以每年4.2%呈大幅递减趋势,减少了43.02 km2;挺水植物所占比例较小,其面积呈小幅扩张趋势,增加了4.58 km2。(2)沉水植物和挺水植物随水域面积的波动呈现不同的景观格局演变特征。库区沉水植物的景观优势度高,最高达56.09%,占库区水生植物景观类型的主体;挺水植物的平均斑块面积、聚集度指数均低于同年沉水植物,具有离散度高、破碎度高、连通性低的特点。挺水植物的斑块形状相对复杂,其分维度指数平均比同年沉水植物高0.29。(3)水生植物的质心12 a来发生了不同程度的偏移变化,挺水植物质心整体向库区东北方向移动了1.88 km,偏移方向为东偏北12.78°;沉水植物质心整体向库区西南方向移动了4.66 km,偏移方向为南偏西43.04°。     

Global coffee market influence on land‐use and land‐cover change in the Western Ghats Of India

In this study, we used image‐processing techniques to examine the spatial pattern of land‐use and land‐cover (LULC) change that occurred in the coffee growing area in the Western Ghats of India during the international coffee crisis in the 1990s. The study also ascertains the driving forces of these changes using qualitative research methods that include archival studies and interviews of knowledgeable individuals. We analyzed Landsat Thematic Mapper (TM) for 1991 and Landsat ETM+ for 2002 to quantify LULC. Historical land‐use changes in different land ownership regimes were also analyzed. Global coffee market fluctuations were found to be the major cause of landscape change in the study region. When the global coffee prices increased, more forested areas were cleared for coffee cultivation. Failure of global coffee market forced farmers to convert land from subsistence farming (rice) to short‐period commercial crops like ginger. This also resulted in land degradation in rice paddies. For the farmers in the Western Ghats, LULC decisions are one of the methods used to cope with the vulnerability created due to the international coffee crisis. Copyright © 2009 John Wiley & Sons, Ltd.     

北京山区森林叶面积指数季相变化遥感监测

森林叶面积指数(LAI)遥感反演,对于区域环境生态监测具有重要意义。该文以北京市西北山区鹫峰国家森林公园为研究区,获取多时相Landsat5 TM数据,并利用半球形照相机(Hemispherical Photography)同步获取森林LAI。使用3种植被指数(归一化植被指数NDVI、增强植被指数EVI和三梯度差植被指数TGDVI),分别建立单个观测时期及整个时期的LAI反演模型,通过相关性分析筛选出最佳模型。研究表明利用整个时期的LAI建立的模型精度较高,其中最好的是基于NDVI的LAI指数模型。利用该模型反演森林LAI,生成基于时间序列的北京山区森林LAI分布图。该研究进一步分析了阔叶林、针叶林和混交林3种情况,结果表明,与不分植被类型的LAI反演模型精度比较,阔叶林和混交林有所提高,而针叶林稍微下降,但模型精度均达到显著水平。     

长汀县1988—2013年森林采伐时序遥感监测

利用1988—2013年Landsat TM/ETM+/OLI时间序列分类数据,根据采伐迹地的时序变化特征,提取长汀县1988—2013年森林采伐信息,并对监测结果进行精度评价。结果表明：长汀县各时相森林采伐监测的总体精度达90%以上,除1994-11-02、2001-12-31外,其余时相的kappa系数均接近或者超过0.8,利用采伐迹地特有的地表覆盖变化特征,能将光谱特征极为相近的采伐迹地、裸地、休耕期的耕地做进一步区分;长汀县采伐迹地分布最密集的区域集中在西南部,其次是东南部、东北部;长汀县1988—2001年森林采伐的面积为500~1 000 hm²,2003年以后随着森林覆盖面积持续增加,森林采伐面积增加,其中2010年森林采伐的面积超过2 800 hm²,中心区域采伐迹地面积增加与该区域森林覆盖条件显著改善有直接关系。     

Advances in remote sensing of freshwater fish habitat: A systematic review to identify current approaches,strengths and challenges

Remote sensing technology offers the ability to derive information on freshwater fish habitats across broad geographic areas and has the potential to transform approaches to monitoring. However, the numerous platforms, sensors and analytical software that are available may overwhelm those interested in utilizing this important technology and thus limit its broad application and uptake. Our review is intended to shed light on the capacity of this technology to transform freshwater fish habitat monitoring by examining the fundamental characteristics of the major remote sensing technologies that have been used for characterizing freshwater habitats, conducting a systematic literature review of studies that have used remote sensing technologies to characterize freshwater fish habitats and, highlighting some of the key habitat features, fish species and regions, that have been examined. Lastly, we identify the relative strengths and weaknesses of the various remote sensing technologies that can be used, recommend future research that could help improve the use of these technologies, and, provide a series of important considerations for those who are interested in utilizing these technologies for freshwater fish habitat characterization.     

1999—2018年海口市江东新区景观格局时空演变分析

以海口市江东新区1999年、2007年、2013年和2018年Landsat遥感影像为数据源,采用监督分类与目视解译相结合的方法,将研究区分为5个景观覆盖类型,提取景观格局指数,对江东新区1999—2018年景观格局演变状况进行分析。结果表明：1999—2018年海口市江东新区景观格局发生了显著变化,景观格局逐渐呈现破碎化和单一化;研究区内斑块密度和斑块数量逐渐增加,集聚度指数、蔓延度指数和香农多样性指数均下降;优势景观从1999年的林草覆盖转变为2018年的建设用地。水域面积增长15.20%,建设用地面积增长57.47%,种植土地面积增长7.72%,林草覆盖面积减少34.51%,未利用地面积减少34.43%。     

西安市热岛效应的反演研究

[目的]对西安市热岛效应进行反演。[方法]利用不同时相美国Landsat-7的ETM+和TM卫星数据,分析了不同时相西安市城市热岛效应的空间分布特征及变化趋势,并提出适合西安市的热岛效应防治措施。[结果]西安城市热岛现象十分明显,城区的地面温度明显高于周边郊区的温度,形成岛屿状的高温区域,界线清晰可辨。随着城市的扩建,西安市城市热岛效应范围也逐渐增大,主要表现为南北向的扩大。另外蓝田区的热岛效应越来越突出,应引起重视。建议通过提高城市绿化、合理规划城市建筑、减少人为热的排放量、预防和治理大气污染等措施,有效防治西安市热岛效应。[结论]该研究为西安市热岛效应的防治和生态环境的改善提供了理论依据。