Journal Guide

Radio Science carries original scientific contributions on all aspects of electromagnetic phenomena related to physical problems. These contributions can include propagation through and interaction of electromagnetic waves with geophysical media, biological media, plasmas, and man-made structures. Coverage includes, but is not limited to, the application of electromagnetic techniques to remote sensing of the Earth and its environment, telecommunications, signals and systems, the ionosphere, and radio astronomy. All frequencies (including optical) are considered.

• Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems
• Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides)
• Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources
• Agriculture, food production systems and food security outcomes
• Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts
• Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface
• Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions
• Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues
• Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems

In addition to original research papers, comprehensive review articles are welcome. Tutorial papers and brief papers containing significant new data or techniques, or commenting on previously published papers (letters to the Editor), may be published as Short Communications.

Remote Sensing in Ecology and Conservation is a fully open access journal from Wiley and the Zoological Society of London. The journal provides a forum for the rapid publication of peer-reviewed, multidisciplinary research from the interface between remote sensing science and ecology and conservation.

Remote Sensing of Environment serves the remote sensing community with the publication of results on theory, science, applications and technology of remote sensing of Earth resources and environment. Thoroughly interdisciplinary, this journal publishes on terrestrial, oceanic, and atmospheric sensing. The emphasis of the journal is on biophysical and quantitative approaches to remote sensing at local to global scales. Areas of interest include, but are not necessarily restricted to:– Agriculture, forestry and range– Biophysical-spectral models– Ecology– Earth and environmental science– Geography and land information– Geology and geoscience– Hydrology and water resources– Image processing and analysis– Atmospheric science and meteorology– Oceanography– Sensor systems and spectral-radiometric measurementsIn addition to original research papers, comprehensive review articles are welcome. Brief papers containing significant new data or techniques may be published as Short Communications.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication.Spatial statistics concerns the quantitative analysis of spatial and spatio-temporal data, including their statistical dependencies, accuracy and uncertainties. Methodology for spatial statistics is typically found in probability theory, stochastic modelling and mathematical statistics as well as in information science. Spatial statistics is used in mapping, assessing spatial data quality, sampling design optimisation, modelling of dependence structures, and drawing of valid inference from a limited set of spatio-temporal data. Application fields includeThe physical domains, e.g. agriculture, geology, soil science, hydrology, ecology, mining, oceanography, forestry, air quality, remote sensingThe social/economic domains, e.g. spatial econometrics, epidemiology and disease mapping.Spatial Statistics aims to publish reproducible science. Authors are encouraged to submit and publish procedures and data, along with the manuscript.

The Photogrammetric Record contains original, independently and rapidly refereed articles which reflect current photogrammetric practice and research throughout the world. The journal provides a record of new research which will contribute both to the advancement of photogrammetric knowledge and to the application of photogrammetric techniques in traditional and novel ways. It also seeks to stimulate debate in its correspondence and shorter contributions sections, and carries reviews of recent photogrammetric literature. Applications of photogrammetry include: - topographic mapping.