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  • 1
    Electronic Resource
    Electronic Resource
    Melbourne, Australia : Blackwell Science Asia Pty. Ltd.
    Lakes & reservoirs 6 (2001), S. 0 
    ISSN: 1440-1770
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography
    Notes: In planning a sampling regime, it is desirable that the sampling procedure should involve minimum estimation error for a given sample size or minimum sampling effort for a given accuracy. Two approaches for matching sampling effort to accuracy may be used: a classical approach, which ignores spatial dependence between observations, and uses a random scheme; and a geostatistical approach, which exploits spatial dependence, and uses a systematic scheme. Four Airborne Thematic Mapper images of two British lakes were processed to provide a chlorophyll index, reflecting variations in chlorophyll-a concentration. Spatial structure was characterized using the variogram, and the modelled variogram was used in Kriging to plan sampling regimes for estimating the mean chlorophyll. For a given sample size, the systematic scheme incurred less error than the random scheme; and for a given error, the systematic scheme required smaller sample sizes than the random scheme. The relative advantage of the systematic approach over the random sampling approach increased with an increase in sample size and an increase in the proportion of variance in the data that was spatially dependent. This paper demonstrates that the sampling regime must be calibrated to the spatial dynamics of the lake under investigation, and suggests that remote sensing is the ideal means by which to determine such dynamics.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1573-5117
    Keywords: aquatic macrophytes ; eutrophication ; lake restoration ; phosphorus ; aerial photography ; shallow lakes
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The potential importance of the six major emergent and floating-leaved macrophyte species in recycling of sediment phosphorus in the Loosdrecht lakes was studied. Representative plant samples were collected at the time of maximum biomass, and analysed for biomass and carbon, nitrogen and phosphorus contents. Species cover was determined by aerial photography. Total cover in the seven lakes studied ranged between 2 and 26 percent. For the four main species, biomass per unit area increased with lake trophic status. Consistent differences in C, N and P contents per unit biomass were not observed. Although cover values were small, significant amounts of C, N and P were contained in the macrophytes when compared with maximum sestonic content. Potential P loads from macrophyte decay were calculated. In Lake Loosdrecht, the P load represented 15 percent of current external P inputs. The potential importance of macrophyte decay to P recycling in the other lakes is greater. Decay of macrophyte species at the end of the growing season appears to affect autumnal nutrient and chlorophyll a levels in the water column of some lakes. The re-establishment of submerged species following lake restoration may increase the importance of this pathway in the lakes.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Hydrobiologia 233 (1992), S. 137-159 
    ISSN: 1573-5117
    Keywords: remote sensing ; water quality ; optical properties ; spectral analysis ; spectrometry
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The underwater light field in 7 lakes in the Loosdrecht lake area was measured in situ. Subsurface upwelling irradiance and irradiance reflectance, together with estimations of scattering and laboratory measurements of absorption by aquatic humus and particulate matter, enabled an analysis of the spectral signature of these waters. Aircraft imaging spectrometer measurements of upwelling radiance at 1 km altitude were used to simulate the PMI Chlorophyll #1, the CAESAR Inland Water Mode spectral bandsets and the Thematic Mapper bands 1 to 4. This made it possible to compare the effects of spectral band width and selection on the estimation of water quality parameters. Correlations increased to r 〉 0.94, at a significance level of 1% for the simulated C-IWM data with the 6 water quality parameters. Images of the PMI Chlorophyll #1 and of the TM were analysed and found to be in accordance with the statistical modelling results. A significant increase in correlation of remote sensing data with water quality parameters can be achieved through the selective use of 10 to 20 nm wide bands in the spectral range of 500 to 720 nm in these eutrophic waters. Sum of chlorophyll a and phaeopigments, seston dry weight, Secchi disc transparency, and coefficients for vertical attenuation of light, absorption and scattering can be estimated accurately. TM image data for water quality assessment is of limited use due to the relatively low spectral and radiometric resolution. However, the revisit capability and relatively low price per area are positive aspects of these satellite images.
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 5
    Publication Date: 2019-07-17
    Description: During the Last Glacial Maximum, the global sea level was 120-140 m below the present one and the shore line of the Laptev Sea was situated several 100 km further north. Remains of the former periglacial shelf landscape are preserved in the recent Laptev Sea coastal lowlands and the New Siberian Islands. This is also the case for the region near Mamontovy Klyk in the Lena-Anabar coastal area. In that region, ice super-saturated permafrost deposits, so-called Ice Complexes (IC), are found widely distributed. During the Late Pleistocene, when the IC has formed, NE-Siberia was dominated by strong continental climate and no extent glaciations occurred. According to various analyses, the ICs in the coastal lowlands are assumed to be products of mainly nival-eolian processes in nearby mountains and hills.The ice content of these deposits up to 160 weight-% (compared to dry mass) makes it very sensible for regional and global climatic changes. With the beginning of the Holocene, the IC was influenced by thermokarst. Thermokarst expresses as expansive surface subsidence due to ground ice thawing. Additionally, thermo-erosion evolves due to action of running water, occurring at coastal, river or valley sites during the warm season. Both processes lead to fast rearrangement of sediments and are an important factor in periglacial relief generation and landscape evolution. Connected to the process of thermokarst and thermo-erosion is the release of organic carbon into the ocean or the atmosphere, stored in formerly frozen and recently thawing paleo-soil deposits as well as fast coastal erosion of ice-rich shores.Nowadays, a complex tundra landscape exists in the investigation area, composed of Late Pleistocene accumulation structures and Holocene thermokarst and thermo-erosional features.Remote sensing is an important instrument for up-scaling our field data. Our attempt is, to quantify periglacial landscape units in the investigated area in NE Siberia using Landsat-7 satellite data from 2000. A classification of these periglacial landscape units is possible, mainly because of differences in vegetation, soil moisture and relief position, determined in the field and from digital elevation models.The spatial distribution of thermokarst can be analysed within a GIS and calculations regarding spatial coverage can be done. Using digital elevation models, it is possible to calculate the volumes of the investigated features. The results of this research are estimations of quality, quantity and distribution of extensive thermokarst and thermo-erosional processes for the investigated region at the Laptev Sea coast.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 6
    Publication Date: 2020-02-12
    Keywords: 550 - Earth sciences
    Type: info:eu-repo/semantics/conferenceObject
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