Migration Property List
Get a list of MigrationProperty objects.
GET /api/v3/migrationproperties/?format=api&offset=4600
{ "count": 5522, "next": "https://api.catalogue.ceda.ac.uk/api/v3/migrationproperties/?format=api&limit=100&offset=4700", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/migrationproperties/?format=api&limit=100&offset=4500", "results": [ { "id": 9244, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10083 }, { "id": 9245, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10085 }, { "id": 9246, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10087 }, { "id": 9247, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10089 }, { "id": 9248, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10091 }, { "id": 9249, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10093 }, { "id": 9250, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10095 }, { "id": 9251, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10097 }, { "id": 9252, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10099 }, { "id": 9253, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10101 }, { "id": 9254, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10103 }, { "id": 9255, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10105 }, { "id": 9256, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10107 }, { "id": 9257, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10109 }, { "id": 9258, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10111 }, { "id": 9259, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10113 }, { "id": 9260, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10115 }, { "id": 9261, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10117 }, { "id": 9262, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10119 }, { "id": 9263, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10121 }, { "id": 9264, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10123 }, { "id": 9265, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10125 }, { "id": 9266, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10127 }, { "id": 9267, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10129 }, { "id": 9268, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10131 }, { "id": 9269, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10133 }, { "id": 9270, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10135 }, { "id": 9271, "key": "observation.content.links", "value": "<div property=\"cedacat:links\">\n<div class=\"links\">Documentation and Links to further information and references</div>\n{insert content here}\n</div>\n\n\n", "modified": "2014-09-28", "ob_ref": 10135 }, { "id": 9272, "key": "observation.content.introduction", "value": "<div property=\"cedacat:introduction\">\n<div class=\"introduction\">Introduction</div>\nARSF project MC04/33: Lidar validation campaign for AVTIS measurements on Etna volcano. PI: Geoff Wadge. Site: Etna. \nAs part of an existing NERC project we have designed and built a new type of ground-based remote sensing instrument: a combined millimetre-wave radar and radiometer called the All-weather Volcano Topography Imaging Sensor (AVTIS). We are testing the ability of this instrument to measure the changing shape of lava flows under all conditions, through cloud and at night. Etna is one of the test sites and we would like to obtain lidar data of the lava flow surfaces to validate the ground-based AVTIS measurements.\n</div>\n\n", "modified": "2014-09-28", "ob_ref": 10135 }, { "id": 9273, "key": "observation.content.citation", "value": "<div property=\"cedacat:citation\">\n<div class=\"citation\">Citation</div>\n{insert content here}\n</div>\n\n\n", "modified": "2014-09-28", "ob_ref": 10135 }, { "id": 9274, "key": "observation.content.contact", "value": "<div property=\"cedacat:contact\">\n<div class=\"contact\">Who to contact</div>\n{insert content here}\n</div>\n\n\n\n", "modified": "2014-09-28", "ob_ref": 10135 }, { "id": 9275, "key": "observation.content.formats", "value": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n{insert content here}\n</div>\n\n\n", "modified": "2014-09-28", "ob_ref": 10135 }, { "id": 9276, "key": "observation.content.access-restricted", "value": "<div property=\"cedacat:access-restricted\">\n<div class=\"access-restricted\">Restricted Data Access</div>\n{insert content here}\n</div>\n\n\n", "modified": "2014-09-28", "ob_ref": 10135 }, { "id": 9277, "key": "project.content.extra", "value": " <br />As part of an existing NERC project we have designed and built a new type of ground-based remote sensing instrument: a combined millimetre-wave radar and radiometer called the All-weather Volcano Topography Imaging Sensor (AVTIS). We are testing the ability of this instrument to measure the changing shape of lava flows under all conditions, through cloud and at night. Etna is one of the test sites and we would like to obtain lidar data of the lava flow surfaces to validate the ground-based AVTIS measurements.", "modified": "2014-09-28", "ob_ref": 10137 }, { "id": 9278, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10137 }, { "id": 9279, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10139 }, { "id": 9280, "key": "project.content.extra", "value": " <br />The aim of this project is to assess the impacts of natural CO2 seeps in central Italy that are currently being studied in a joint collaborative project between BGS and the University La Sapienza Roma (URS) in Italy, as natural analogues of a leaking geological CO2 storage facility. These impacts include changes in vegetation, development of karst topography and damage to buildings through rapid sinkhole development, and risks of asphyxiation through CO2 build-up in residential areas in buildings and topographic depressions. The overall aim of the research is to monitor and characterise the response seen in remote sensing data of an area that is known to have CO2 leaks. From this experience appropriate monitoring methods can be designed for geological storage sites of carbon dioxide. By understanding the behaviour of such natural analogues, the aim is to design appropriate monitoring methods for the geological storage of carbon dioxide, the most important greenhouse gas that contributes to global warming. Remote sensing, integrated with local in-situ measurements, offers one way to monitor storage and assess impacts over wide areas efficiently.", "modified": "2014-09-28", "ob_ref": 10141 }, { "id": 9281, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10141 }, { "id": 9282, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10143 }, { "id": 9284, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10145 }, { "id": 9285, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10147 }, { "id": 9287, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10149 }, { "id": 9288, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10151 }, { "id": 9289, "key": "project.content.extra", "value": " <br />The study focuses on the use of hyperspectral push-broom CASI2 and multispectral scanning ATM data to measure Colour Dissolved Organic Matter (CDOM), chlorophyll (Chl) and Suspended Particulate Matter (SPM) in complex optical Case 1 waters of the Straits of Messina and the Case 2 waters of the Venice Lagoon. In addition it is the aim to estimate macrophyte distribution during spring in the Venice Lagoon. The novel components of this work involve: \n. The integration of atmospheric and hydro-optical radiative transfer models (MODTRAN4 and Hydrolight 4.2) to estimate the underwater light field using matrix inversion techniques to derive CDOM, SPM and Chl. \n.Investigation to the potential to correct sun-glint on ATM/CASI data using ERS derived wind/wave data. \n. An investigation of the reflectance of submerged vegetation of a quasi-tidal shallow water lagoon.", "modified": "2014-09-28", "ob_ref": 10153 }, { "id": 9290, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10153 }, { "id": 9291, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10155 }, { "id": 9292, "key": "project.content.extra", "value": " <br />This proposal focuses on the integration of hydrological models with remote sensing data in order to improve the analysis and management of water resources in arid environments. The research will be carried out at several test areas within a watershed of approximately 800km2 (Belice River), whose water is used both for municipal and irrigation purposes.", "modified": "2014-09-28", "ob_ref": 10157 }, { "id": 9293, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10157 }, { "id": 9294, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10159 }, { "id": 9295, "key": "project.content.extra", "value": " <br />\nThe lower Tiber (Central Italy) is one of the best studied and most densely occupied landscapes of Europe, forming a resource which has recently been enhanced by Tiber Valley Leverhulme project of the British School at Rome, an institution which will continue to provide important management and logistical support. The missing key element from the current GIS is a sufficiently precise DEM to tackle scientific problems of land management and erosion over the last 4,000 years. The project has selected four sample areas related to the 50 x 50 km core region to provide 1) a detailed DEM for a key area of dissected volcanic landscape (employing LiDAR) (Nepi - Civita Castellana zone) 2) comparative ground truthed microtopographic and geomorphological data from the Tiber delta to provide a measure of LiDAR accuracy under different conditions, 3) a regional analysis of ancient drainage tunnels in comparison with drainage patterns modelled from the accurate DEM (Veii zone), 4) multi-spectral data to assess the completeness and survival of the sample of over 5,200 archaeological sites from Tiber catchment. The results will form a platform for modelling and ground truthing (through coring, trenching and radar) erosional processes.", "modified": "2014-09-28", "ob_ref": 10161 }, { "id": 9296, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10161 }, { "id": 9297, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10163 }, { "id": 9298, "key": "project.content.extra", "value": " <br />Research on the Tagliamento River, NE Italy - a collaborative programme involving the P.I. and partners on this project - has led to major advances in our understanding of the fundamental processes that determine the dynamic structure of the habitat mosaic within large river corridors. In this study we seek to provide a detailed reach-scale analysis of this shifting habitat mosaic. This will involve (1) assessing channel and habitat complexity, and (2) modelling the potential for geomorphic work (erosion and deposition) to be accomplished across the active tract. Both steps will utilize Airborne Multi- and Hyper-spectral imagery, and LIDAR data with on the ground measures of topography, flow velocity, depth, and substrate composition, and vegetation and habitat classifications, supported by GPS. The study focuses on two ca. 600 m-wide sections of different hydro-geomorphological character (with bar-braided and island-dominated reaches) along the middle Tagliamento. The final model of reach-scale channel/habitat dynamics will be calibrated against our detailed ground datasets and historical information from maps; previous surveys, ongoing photographic records, and flow records.", "modified": "2014-09-28", "ob_ref": 10165 }, { "id": 9299, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10165 }, { "id": 9300, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10167 }, { "id": 9301, "key": "project.content.extra", "value": " <br />This project has two main aims : (i) to unravel the late Quaternary depositional history of the piedmont zone and (ii) to derive a physical model of fan development for the western portion of the coastal plain. This project will utilise the diagnostic spectral response of iron species in the visible to VNIR waverange combined with mineral magnetic and extractable (Fed) analysis of the fan surfaces. This will allow the identification and differentiation of the different fan segments on the basis of the relative proportions and concentrations of the different iron species in the soils which is a function of the length of time the soils have been exposed to weathering processes. Acquisition of LiDAR would allow a detailed DEM of the alluvial fan and the adjacent fault zone to be derived. Available topographic maps are not accurate enough to enable the contact zones between the different fan segments and the uplifted fault terraces to be resolved. A high resolution DEM would allow accurate calculations of fan segment volumes and uplift rates to be derived and subsequently enable a model of fan development on the piedmont to be derived.", "modified": "2014-09-28", "ob_ref": 10169 }, { "id": 9302, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10169 }, { "id": 9303, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10171 }, { "id": 9304, "key": "project.content.extra", "value": " <br />\nThe aim of this research is to investigate the capability of hyperspectral data in the identification of seagrass distribution and biomass compared to the present system of boat-mounted sonar systems. The current approach is very expensive and time-consuming and produces only sparse coverage of seagrass distributions. The first objective of this project is to obtain measurements of the nature and intensity of upwelling and downwelling radiation at different depths in the water column under a range of different water quality conditions. These measurements will be correlated with contemporaneous measurements of downwelling and upwelling radiation at the sea surface and at the aircraft sensor. The underwater spectral measurements will be used to develop and validate underwater radiative transfer models e.g. Hydrolight (Mobley, 1994) under a number of different illumination and observation configurations and over a range of representative homogeneous and heterogeneous substrate types. In support of the CASI acquisition surface and underwater spectroscopy measurements (Wettle et al, 2003) and a range of water quality measuring instruments will be deployed coincident with the CASI data acquisition. A coastal area of Crete selected as one of the Greek NATURA areas under the EC habitats directive has been identified as an excellent test site.", "modified": "2014-09-28", "ob_ref": 10173 }, { "id": 9305, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10173 }, { "id": 9306, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10175 }, { "id": 9307, "key": "project.content.extra", "value": " <br />The aim of this proposal is to build upon our understanding of Apparent Thermal Inertia and VNIR spectral sensitivity models by testing these at sites with contrasting soil moisture and texture characteristics where buried archaeology has been mapped over large areas in detail by non-invasive high spatial resolution geophysical survey. At both these sites, one in the UK and one in southern Italy, the archaeology is of outstanding quality as well as international importance and at both sites previous daytime thermal survey with airborne scanners (ATM and MIVIS) has shown up features not easily identified at other wavelengths. The results will provide an unparalleled opportunity to compare and contrast thermography (ATM) and VNIR high spectral resolution data (CASI) with more established landscape prospection tools such as oblique and vertical aerial photography, multi-spectral imagery and detailed topographical (from LiDAR) survey. Both test sites have a large spatial coverage of geophysical survey and the possibility of follow-up excavation.", "modified": "2014-09-28", "ob_ref": 10177 }, { "id": 9308, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10177 }, { "id": 9309, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10179 }, { "id": 9310, "key": "project.content.extra", "value": " <br />The Aegean Volcanic Arc currently has active hydrothermal activity in the regions of Euboea Island, Susaki, Methana, Milos, Santorini, Kos Nisiros and Yali. The island of Milos, where the volcanic system has been stable since 205 AD, probably has the greatest area of active submarine hydrothermalism with an estimated 34 km2 of active sea-bed. This venting inputs nutrients (ammonia, phosphate, silicate and iron) and carbon dioxide into an sea. The venting areas may be detected by increased temperatures, water turbidity and bubble plumes. Maps of these areas can be compared with chlorophyll concentrations to ascertain how they affect the biological productivity of the region. Photography of the shallow water areas should also show changes in the sea grass and minero-bacterial mat distribution since ground surveys were last undertaken in 1997. In contrast, a similar area of previously stable venting activity off Panarea, in the Tyrrhenian Sea, had a volcanic eruption, creating a tsunami, in December 2002. A similar aerial survey will provide data on how activity has changed and productivity affected since the eruption. This is an unparalleled opportunity to compare the effects of shallow water venting between \"active\" and \"stable\" venting sites in the Mediterranean.", "modified": "2014-09-28", "ob_ref": 10181 }, { "id": 9311, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10181 }, { "id": 9312, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10183 }, { "id": 9314, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10185 }, { "id": 9315, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10187 }, { "id": 9316, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10189 }, { "id": 9317, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10191 }, { "id": 9318, "key": "project.content.extra", "value": " <br />The aim is to develop and validate atmospheric correction algorithms for CASI and the new hyperspectral sensor over water and land. We will measure optical and environmental characteristics of water, land and atmosphere while the aircraft passes over the same scene at several heights to evaluate the height dependence of atmospheric correction. The marine site will be the case 2 waters from the Tamar plume in Plymouth Sound, while the terrestrial site will be Plymouth Hoe. Surface measurements will include: \n. surface reflectance factors, radiance and irradiance over land based calibration/validation site, and over the sea surface using a hyperspectral radiometer; \n.radiance and irradiance profiles using the PML profiling radiometer; \n.absorption and backscatter profiles using the PML ac9, VSF-3 and HydroScat-6; \n.particulate and dissolved absorption spectra using spectrophotometry at PML and/or UoP; pigment analysis using HPLC at PML; \n.suspended particulate material measurements including size distribution at PML and/or UoP; \n.local aerosol optical depth using Microtops sun photometers; \n.aerosol type (optical depth, size distribution, refractive index) using sun/sky photometers. \nThis dataset will allow detailed modelling of both in-water and atmospheric optics in support of the development and validation of atmospheric correction algorithms .In addition, the project aims to solve one of the major problems associated with application of such algorithms to images collected of the coastal zone. This issue is of great importance in the UK, given the dynamic nature of the coastal zone and the need for accurate monitoring of it. Remote sensing provides an ideal tool for monitoring change in such areas, however, an important step in this process is the ability to compare images from different dates and sites in different scenes. These comparisons require the digital counts from different scenes to be calibrated to common reference values, thus highlighting the need to establish suitable algorithms for use in this environment.The project is unique in terms of the collaborative effort between various higher education and research institutions in the South-West region.", "modified": "2014-09-28", "ob_ref": 10193 }, { "id": 9319, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10193 }, { "id": 9320, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10195 }, { "id": 9321, "key": "project.content.extra", "value": " <br />In the dynamic and complex coastal environment, numerous factors interact to shape the terrain. On some coastlines these interactions combine with local morphology to result in geohazards, such as landslides. Undoubtedly, such events pose a significant threat to human interests, and there is an obvious requirement for monitoring, in order to evaluate and mitigate any risk. However, the nature of these coastal environments can cause major difficulties in selecting a monitoring technique applicable to all terrain components. Consequently, current approaches are often crude and inefficient. This research aims to address such issues by integrating remote sensing technologies which individually may be inadequate, but when combined have the potential to offer a flexible and effective monitoring solution. In-situ site monitoring will be incorporated into the research to evaluate its potential as a geohazard early warning system. Combined remote and in-situ monitoring results will be modelled alongside other relevant variables, such as geology and sediment transport, in order to produce a fully-integrated strategy for the monitoring and predictive modelling of geohazards.", "modified": "2014-09-28", "ob_ref": 10197 }, { "id": 9322, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10197 }, { "id": 9323, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10199 }, { "id": 9324, "key": "project.content.extra", "value": " <br />The Project is part of the POL science plan and aims to observe sediment transport dynamics within the Dee Estuary. As part of the POL Coastal Observatory an X-Band radar has been deployed at Hilbre Island to monitor bathymetric changes at the mouth of the Dee Estuary. The study will also make a set of marine in-situ observations which are focused on studying the small scale processes, turbulence and SPM resuspension. Understanding these processes is important to predict the large scale variability. Three-dimensional numerical modelling will be used to help interpret the dynamics within the Estuary. The project will also study air-sea interaction and exchanges of momentum at the sea surface and sea-bed.\n\nThe use of the NERC Aircraft will be of great advantage in giving a synoptic view of the SPM/CDOM and chlorophyll distributions within the Estuary, as well as providing us with high-resolution bathymetry of the intertidal area. The overlapping aerial photographs will also give information about wave refraction over this area: if the wind speed is sufficiently high they will give white cap coverage and the speed of propagation of the breaking wave fronts.", "modified": "2014-09-28", "ob_ref": 10201 }, { "id": 9325, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10201 }, { "id": 9326, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10204 }, { "id": 9327, "key": "project.content.extra", "value": " <br />Aerial photography has made the single most important contribution to our improved appreciation of the density, diversity and distribution of archaeological sites since WWII. This is particularly the case for areas of intensive lowland agriculture where ploughed-out sites are known only from marks in crops growing above them. However, reconnaissance for such cropmarks is not equally effective throughout the lowlands because of the particular conditions of drier weather, well-drained soils and arable agriculture required before they become visible. There is, therefore, considerable bias in the discovery and, consequently, known distribution of archaeological sites in favour of the drier eastern side of Scotland with its higher percentage of arable agriculture, as opposed to the west with its wetter climate and greater proportion of grazing land. Given that the appearance of cropmarks is linked to moisture stress in growing plants, they are potentially detectable at bandwidths outside the visible and before they become apparent therein. Using carefully selected case study sites in Lowland Scotland, one in the east and one in the west for the purposes of comparison, this project seeks to examine the extent to which multispectral and hyperspectral imagery can reveal otherwise invisible archaeological sites, particularly in pasture land.", "modified": "2014-09-28", "ob_ref": 10206 }, { "id": 9328, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10206 }, { "id": 9329, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10208 }, { "id": 9330, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10210 }, { "id": 9331, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10212 }, { "id": 9332, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10214 }, { "id": 9333, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10216 }, { "id": 9334, "key": "project.content.extra", "value": " <br />On 18th August 2004, heavy rainfall in the afternoon (approximately 25-30 mm h-1) triggered a series of landslides and floods across Stirlingshire (from Killin in the north to Callendar in the south). A detailed reconstruction of the floods and resulting debris flows which occurred in Glen Ogle and Glen Ample will enable the current landslide and flood hazard to be better characterised. Such a reconstruction, when combined with modelling the susceptibility of these slopes to further failure, will assist in recalibrating these environmental hazards for given projected climate change.", "modified": "2014-09-28", "ob_ref": 10218 }, { "id": 9335, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10218 }, { "id": 9336, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10220 }, { "id": 9337, "key": "project.content.extra", "value": " <br />It is now recognised that shallow and eutrophic freshwater lakes have two possible alternative photoautotrophic dominant states: (1) domination by submerged vegetation and (2) domination by phytoplankton. The suggested mechanism(s) of alternation between these polar states is an intricate function of stochastic trophic disturbance allied to underlying changes in the bioavailability of nitrogen and phosphorus. Despite a clear conceptual appreciation of the mechanism of state alternation, concerted research on defining the spatial and temporal nature of the interrelationship between photoautotrophic community dynamics and the environmental controls that regulate state alternation has been limited. A fuller understanding of the diurnal and seasonal variability of the phytoplankton community and the possible impacts for aquatic vegetation arising from bloom development needs to be sought.\n\nHowever, delineating spatial and temporal patterns in community ecology through single-point sampling methods is generally problematic. Phytoplankton and aquatic vegetation communities are typically heterogeneous in terms of distribution, composition and condition which, when allied to the inherently transient nature of aquatic systems, makes the acquisition of representative spatiotemporal data from in situ sampling campaigns unfeasible. Remote sensing can, however, provide an effective synoptic and multitemporal characterisation of environmental phenomena at a range of spatial scales. Potentially, remote sensing may be able to provide an improved insight into photoautotrophic response to changing environmental controls in shallow lakes.", "modified": "2014-09-28", "ob_ref": 10222 }, { "id": 9338, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10222 }, { "id": 9339, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10224 }, { "id": 9340, "key": "project.content.extra", "value": " <br />\n\nIn lowland Britain, deforestation was extensive as long ago as the 14th century. Many woodland bird species have adapted to use secondary habitats such as tree and hedgerow networks in farmland and woody vegetation in urban parks and gardens. Various studies have documented reduced breeding success in birds living in such secondary habitats, but the costs to adults, in terms of time and energy, have been little studied. Adult birds attempting to feed young in habitats where food supplies are patchily distributed will waste time and energy moving between patches and suffer increased exposure to adverse weather. We are currently measuring energy expenditure in free-living tits breeding in a number of secondary habitats. We propose to use LIDAR, ATM and CASI data to quantify habitat structure and composition to investigate how these features influence adult energy expenditure and overall reproductive success. Such remote-sensed data will be particularly valuable for these spatially complex habitats in which good foraging habitat is mixed with poor (e.g. exotic tree species) and nil (e.g. mown grass, open water) quality land uses. This work extends our current studies (published and on-going) using LIDAR, ATM and CASI data to quantify and model habitat quality for birds.", "modified": "2014-09-28", "ob_ref": 10226 }, { "id": 9341, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10226 }, { "id": 9342, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10228 }, { "id": 9343, "key": "project.content.extra", "value": " <br />The colour of the water in an estuary depends upon the optical properties of the water itself and on the concentrations of the materials, both dissolved and suspended, near the water surface. Recent developments based on in situ radiometry have shown how measurements of estuarine colour can be interpreted in terms of the concentrations of dissolved organic material, and how, in turn, this can be related to salinity (Bowers et al., 2000, Binding and Bowers, 2003). The aim of this proposal is to apply this technique to airborne visible band remote sensing to produce synoptic, two-dimensional maps of surface salinity in an estuary. Such maps, which are not presently available, will, in turn be invaluable tools for providing new insights into mixing processes in estuaries.", "modified": "2014-09-28", "ob_ref": 10230 }, { "id": 9344, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10230 }, { "id": 9345, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10232 }, { "id": 9346, "key": "project.content.extra", "value": " <br />The melt of small glaciers is making a substantive contribution to the rapid rise of global sea\nlevel. Climate change is predicted to have most effect on temperature in the Arctic, making glaciers in this region particularly vulnerable to melt. This proposal is to collect LiDAR elevation data that will allow direct measurement of the volume changes of characteristic Arctic glaciers in Svalbard over the 20th century. Digital elevation models (DEMs) derived from LiDAR will be differenced from those produced using digital photogrammetry covering the period 1956-2003. Ground control points (GCPs), which are essential to producing the photogrammetric DEMs, will be derived from the LiDAR data. These results will allow better estimation of the contribution of the Svalbard archipelago to sea level rise over the 20th and 21st centuries.", "modified": "2014-09-28", "ob_ref": 10234 } ] }