An Integrated Approach to Benthic Habitat Classification of the North Eastern Qatar Marine Zone Using Remote Sensing, Geographic Information System, and in Situ Measurements

A key aspect in the conservation management of the coastal marine zone is mapping the benthic habitat, which is the focus of the work presented in this project. Multispectral Worldview-2 (WV2) satellite data acquired in April 2010 was used to classify and map the benthic habitat of the North-Eastern part of Qatar marine zone: A 35 km stretch of coastline, 7km wide, with water depth ranging from 0 to 11 m. Baseline field surveys of the area of study carried out in March-April 2010 identified 4 broad benthic types: Seagrass, Algae, live corals and sand. WV2 data was corrected for atmospheric and water column effects. Depth-invariant bottom indices were calculated and formed the basis for classification. Field survey data was used to implement the supervised classification and accuracy assessment. From the result of the classification, an overall accuracy of 81.8% was obtained. The gap in the available information on the benthic cover in the Qatari coastal marine zone makes the study useful to detect changes in the benthic cover over time

Historical forest biomass dynamics modelled with Landsat spectral trajectories

Acknowledgements National Forest Inventory data are available online, provided by Ministerio de Agricultura, Alimentación y Medio Ambiente (España). Landsat images are available online, provided by the USGS.Peer reviewedPostprin

CCRS proposal for evaluating LANDSAT-D MSS and TM data

Accomplishments in the evaluation of LANDSAT 4 data are reported. The objectives of the Canadian proposal are: (1) to quantify the LANDSAT-4 sensors and system performance for the purpose of updating the radiometric and geometric correction algorithms for MSS and for developing and evaluating new correction algorithms to be used for TM data processing; (2) to compare and access the degree to which LANDSAT-4 MSS data can be integrated with MSS imagery acquired from earlier LANDSAT missions; and (3) to apply image analysis and information extraction techniques for specific user applications such as forestry or agriculture

Generation of a Land Cover Atlas of environmental critic zones using unconventional tools

L'abstract è presente nell'allegato / the abstract is in the attachmen

SPACEFLIGHT HYPERION DATA RADIATION CALIBRATION PRELIMINARY STUDY

Radiometric calibration is the basis of both hyperspectral data applications and quantitative remote sensing. While at present, there is no good and suitable method for radiometric calibration in the aerospace hyperspectral data. The paper uses the highest spectral resolution Hyperion EO-1 satellite data in current world Spaceflight sensor as information source, using a variety of calibration models, which including of the calibration model based on atmospheric radiation theory, conversion model based on the characteristics of the image itself(Flat Field Model, IAR Reflectance Model, Log Residuals Modified Model, e.g.), linear model based on the experience of the ground calibration and so on, implementation Spaceflight hyperspectral data calibration study. Through the above model calibration contrast, and combined analysis with the field measured spectral curve, then we draw the conclusion that the calibration model based on atmospheric radiation theory is the best radiation calibration method for Spaceflight Hyperion data, so we provide the quality assurance for the effective application of Spaceflight Hyperion data. 1