An efficient application of fusion approach for hot spot detection with MODIS and PALSAR-1 data

Hot spot detection with satellite images, especially with synthetic aperture radar (SAR) images is still a challenging task. Several researchers have used TM/optical data for identification of hot spot but the use of SAR data is very limited for this type of application. The fusion of SAR data with TM/optical data may add additional information which in turn will lead for enhancement of detection capability of the hot spot. Therefore, this study explores the possibility of fusion of Moderate Resolution Imaging Spectroradiometer (MODIS) and Phased Array L-band Synthetic Aperture Radar (PALSAR) satellite images for the hot spot detection. Image fusion is emerging as a powerful tool where information of various sensors can be used for obtaining better results. For this purpose, vegetation greenness and roughness information which is obtained from MODIS and PALSAR satellite images, respectively, are used for fusion, and then, a contextual-based thresholding algorithm is applied to the fused image for hot spot detection. The proposed approach comprises of two steps: (1) application of genetic algorithm-based scheme for image fusion of MODIS and PALSAR satellite images, and (2) classification of the fused image as either hot spot or non-hot spot pixels by employing a contextual thresholding technique. The algorithm is tested over the Jharia Coal Field region of India, where hot spot is one of the major problems and it is observed that the proposed thresholding technique classifies the each pixel of the fused image into two categories: hot spot and non-hot spot and the proposed approach detects the hot spot with better accuracy and less false alarm.     

青藏高原植被覆盖变化及其与气候变化的关系

近几十年来,全球气候变化对青藏高原植被覆盖产生了重要影响。基于青藏高原1981—2005年遥感影像及同期气象数据,结合生态学模型,分析了青藏高原植被覆盖度变化趋势及其与气候变化的关系。结果显示,25 a间,青藏高原温度升高、降水量增加,植被覆盖度呈"整体升高、局部退化"趋势;地表植被改善区主要位于植被低覆盖区,退化区主要位于高覆盖区;从不同植被类型看,除针叶林、阔叶林受采伐影响覆盖度下降外,其他植被覆盖度均不同程度的上升;植被覆盖度变化与同期降水量变化、温度变化均呈正相关,且具有明显的区域差异。     

基于植被状态指数的全国干旱遥感监测试验研究(Ⅰ)--资料分析与处理部分

在收集处理了了1981～1994年连续504旬的由NOAA AVHRR第1、2通道的反射率计算得的NDVI时间系列数据,以及1980～1994年全国102个固定农气观测站的旬土壤湿度资料(-20cm)和相应测站的田间持水量资料基础上,分析了全国NDVI及植被状态指数VCI的时空变化特征,发现NDVI值随季节(旬)分别表现为“双峰型”和“单峰型”的变化,在第17～27旬之间达到极大值,并与作物生长有关,VCI的变化与NDVI的变化呈相反趋势;对资料因站点的分布和密度以及时序位相等差异可能影响资料代表性的探讨认为：因旱情发展有一个过程,故NDVI、SHI的时空特性应该不会影响其分析结果的代表性。综合分析了资料的时空代表性,为干旱遥感监测模型的建立作准备。     

Storm surge mitigation through vegetation canopies

The paper of Reid and Whitaker (1976) on the effects of a vegetation canopy on flow of water is re-examined. Their assumptions on the equality of various drag coefficients are replaced by more realistic calculations. A new method for calculating wind stress on water is presented for the case when the vegetation extends above the water surface.For the case of vanishingly small water depth, it is shown that the horizontal stress is approximately constant in the vertical. This results in a diagnostic relationship for the water current as a function of the wind stress and bottom roughness.A new expression for the vertically averaged frictional force per unit mass is derived on the assumption that the friction velocity varies linearly with height. The vertical rate of change of friction velocity depends on the mean water current, the wind stress, the bottom roughness, and the water depth. This work has a possible application in the mitigation of storm surges.     

Evaluating the Dependence of Vegetation on Climate in an Improved Dynamic Global Vegetation Model

The capability of an improved Dynamic Global Vegetation Model (DGVM) in reproducing the impact of climate on the terrestrial ecosystem is evaluated. The new model incorporates the Community Land ModelDGVM (CLM3.0-DGVM) with a submodel for temperate and boreal shrubs, as well as other revisions such as the two-leaf scheme for photosynthesis and the definition of fractional coverage of plant functional types (PFTs). Results show that the revised model may correctly reproduce the global distribution of tempera...     

白令海北部陆坡全新世以来长链正构烷烃的古环境意义

本文对白令海北部陆坡B2-9站位沉积物岩芯开展了高分辨率的生物标志物分析,获得了研究区近一万年来陆源长链正构烷烃（简写为烷烃）的输入及其源区植被结构的变化等相关记录。结果表明,nC₂₇是烷烃中最高的主碳峰,对烷烃总量的贡献也最大,这可能与源区木本植物的丰度及其分布有关;nC₂₃的含量也较高,可能主要是来源于北半球沿海地区广泛分布的一类沉水植物。全新世期间,烷烃总量分别在7.8 ka B.P.,6.7 ka B.P.和5.4 ka B.P.经历了三次阶梯状的下降过程,呈现出四个相对稳定的阶段,可能主要受控于早全新世海平面上升以及源区气候环境和植被分布的变化。烷烃的分子组合特征各参数（如CPI、ACL以及nC₃₁/nC₂₇等）的变化则表明,烷烃主要来自陆生高等植物,且全新世期间植被结构较为稳定,木本植物占据优势。此外,在几个较短的时期内,烷烃总量及其分子组合特征等参数的变化具有同步性,表明在这些时期特殊的气候条件下,源区木本植物烷烃对烷烃总量的贡献率的增加可能低于草本植物烷烃和化石烷烃。     

陆生蜗牛壳体碳氧同位素组成与气候

陆生蜗牛响应气候环境变化敏感,其壳体化石碳氧同位素组成（δ¹³C和δ¹⁸O）具有重建古生态和古大气水文条件的巨大潜力。然而目前针对中国黄土古土壤沉积序列中蜗牛化石碳氧同位素组成开展的古环境古气候重建研究却仍然不足,根源在于对蜗牛壳体δ¹³C和δ¹⁸O指标气候意义的认识仍不明确。文章从现代过程研究着手,综述了目前有关蜗牛壳体δ¹³C和δ¹⁸O气候环境意义的研究进展,并指出各自指标存在受控因子的复杂性和多解性等问题。通过总结这些研究认为：陆生蜗牛壳体δ¹³C值主要通过反映植物（尤其C₃）δ¹³C值变化来进一步响应当地降水量变化,进而指示环境的干湿程度,但同时需要考虑环境碳酸盐、大气CO₂等额外因子对壳体δ¹³C的影响;壳体δ¹⁸O值可以在较大程度上反映大气降水δ¹⁸O值变化,但同时需要考虑蒸发作用和温度等因素对壳体δ¹⁸O的影响;壳体δ¹³C和δ¹⁸O在作为气候指标时常受区域和蜗牛种属等因素影响。此外,还介绍了目前中国北方黄土地层中蜗牛壳体化石稳定同位素组成重建季风变化的研究进展和近十年来有关蜗牛壳体团簇同位素新方法的研究进展。最后,论文针对壳体δ¹³C和δ¹⁸O指标存在的问题提出可能的解决办法,并对以后蜗牛碳氧同位素古环境研究方向进行展望。

     

荒漠草原不同植被盖度区面积对降水的响应

降水波动是气候变化的主要指标之一,其在半干旱荒漠草原区植被变化中起着主要的驱动作用。在考虑到年降水量与生长期降水量的前提下,本文通过地面植被盖度反射光谱模型构建和基于3S技术的区域植被盖度分布格局反演,分析了荒漠草原不同植被盖度分布面积对降水的响应。结果表明:在荒漠草原区,不同植被盖度的区域面积和年降水量、生长期降水量呈波动变化。年降水量和生长期降水量与不同植被盖度区域面积可以拟合成线性、幂函数、指数和对数函数曲线关系。植被盖度小于10%的区域面积随着降水量的增加而下降,植被盖度大于10%区域面积随着降水量的增加而增加,盖度10%是低盖度与高盖度间相互转化阈值。当植被盖度为<2%、2%～6%、10%～15%、15%～20%、20%～25%时,拟合的曲线关系能较好地表达不同植被盖度区域面积随降水量变化的趋势(p< 0.01)。荒漠草原不同植被盖度区域面积的波动变化主要与多根葱、阿尔泰狗娃花、松叶猪尾菜和小画眉草等草本植物生长响应降水变化密切相关。     

基于植被指数的高光谱遥感水陆识别方法初探

提出了一种判别两类地物分类效果的依据——显著性度量,并采用植被指数的形式,给出了应用高光谱图像进行水陆识别的方法。以滩涂为例进行水陆识别实验,结果表明,基于显著性度量遴选得到的最佳植被指数类型及其最佳波段组合,适合于解决以高光谱图像为数据源的水陆识别问题。     

Impacts of Irrigation and Vegetation Growth on Summer Rainfall in the Taklimakan Desert

In recent decades, a greening tendency due to increased vegetation has been noted around the Taklimakan Desert(TD), but the impact of such a change on the local hydrological cycle remains uncertain. Here, we investigate the response of the local hydrological cycle and atmospheric circulation to a green TD in summer using a pair of global climate model(Community Earth System Model version 1.2.1) simulations. With enough irrigation to support vegetation growth in the TD, the modeling suggests first, that significant increases in local precipitation are attributed to enhanced local recycling of water, and second, that there is a corresponding decrease of local surface temperatures. On the other hand, irrigation and vegetation growth in this low-lying desert have negligible impacts on the large-scale circulation and thus the moisture convergence for enhanced precipitation. It is also found that the green TD can only be sustained by a large amount of irrigation water supply since only about one-third of the deployed water can be "recycled " locally. Considering this,devising a way to encapsulate the irrigated water within the desert to ensure more efficient water recycling is key for maintaining a sustainable, greening TD.