Monthly Archives: June 2015

2015 Journal Impact Factor Released

The 2015 Journal Impact Factor has been released. You can download the complete list here.

I sorted out some journals related to Remote Sensing, Geography, and  Hydrology. You can download my sorted list here.

It appears that the impact factors of several remote sensing journals have increased from 2.x to 3.x, such as International Journal of Applied Earth Observation and Geoinformation, Remote Sensing.  Note that this journal impact factor ranking is slightly different from the Google Scholar Journal Ranking.

Keep in mind that journal impact factor is just one metrics, so don’t take it too seriously!

Remote Sensing Journals Total Cites  Impact Factor
Remote Sensing of Environment 34609 6.393
IEEE Transactions on Geoscience and Remote Sensing 25780 3.514
International Journal of Applied Earth Observation and Geoinformation 2,600 3.470
International Journal of Digital Earth 603 3.291
Remote Sensing 3061 3.180
ISPRS Journal of Photogrammetry and Remote Sensing 4120 3.132
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2331 3.026
IEEE Geoscience and Remote Sensing Letters 4502 2.095
GIScience & Remote Sensing 461 1.770
Canadian Journal of Remote Sensing 1,651 1.727
International Journal of Remote Sensing 16435 1.652
Photogrammetric Engineering & Remote Sensing 5926 1.608
Remote Sensing Letters 516 1.573
Journal of Applied Remote Sensing 990 1.183

Remote Sensing Journals Google Scholar Ranking

Geography Journals Total Cites  Impact Factor
Landscape and Urban Planning 7409 3.037
Progress in Physical Geography 2,749 2.612
Applied Geography 2,656 2.494
Annals of the Association of American Geographers 3,776 2.291
Permafrost and Periglacial Processes 1,413 2.119
The Geographical Journal 1,298 1.926
International Journal of Geographical Information Science 3,193 1.655
Geographical Analysis 1,627 1.543
The Professional Geographer 1,419 1.500
Transactions in GIS 746 1.398
Journal of Geographical Sciences 938 1.344

Geography Journal Google Scholar Ranking

Hydrology Journals Total Cites  Impact Factor
Journal of Hydrometeorology 6,182 3.645
Water Resources Research 38,033 3.549
Hydrology and Earth System Sciences 8855 3.535
Advances in Water Resources 6,998 3.417
Journal of Hydrology 33300 3.053
Hydrological Processes 15,618 2.677
Journal of Water Resources Planning and Management 3,491 2.676
Water Resources Management 5,225 2.600
Ecohydrology 1,234 2.426
Groundwater 5,318 2.307
Hydrogeology Journal 3,895 1.966
Vadose Zone Journal 3,020 1.778
Journal of Hydrologic Engineering 3,054 1.583
Hydrological Sciences Journal 3,849 1.549
JAWRA Journal of the American Water Resources Association 4,275 1.348

Hydrology Journals Google Scholar Ranking

Wetlands Journals Total Cites  Impact Factor
ENVIRONMENTAL MODELLING & SOFTWARE 7249 4.420
LANDSCAPE ECOLOGY 6,054 3.500
ECOLOGICAL INDICATORS 5,651 3.444
WETLANDS 3439 1.572
WETLANDS ECOLOGY AND MANAGEMENT 1275 1.274

Asia & Australia SRTM 30 m Available

The void-free 1 arc second (~ 30 meters) SRTM data for Asia and Australia are available now. See below for an index map of the newly available full-resolution data. The new data are available for download from the USGS EROS Data Center.

See an ESRI blog below for more details:

Asia & Australia SRTM 30 m in Esri World Elevation Services

Esri World Elevation Layers  are enhanced with more detailed void-free 1 arc second (~ 30 meters) SRTM data for Asia and Australia. The Australian DEM (DEM-S), which is a cleaned and smoothed version of SRTM 1 arc sec, is courtesy of Geoscience Australia, while the Asia data is acquired from NASA. With this update, there is now 3 times more detail in these areas.

Mount Everest – the highest peak in Himalayas and World at 8,848 m (29,029 ft) above sea level (SRTM 90 m vs SRTM 30 m)

Eravikulam National Park, Western Ghats, Kerala, India. Western Ghats mountain range is UNESCO World Heritage Site and is one of the eight “hottest hotspots” of biological diversity in the world (SRTM 90 m vs SRTM 30 m)

Mount Fuji, Japan – an active stratovolcano and the highest mountain in Japan at an elevation of 3,776.24 m (12,389 ft) above sea level (SRTM 90 m vs SRTM 30 m)

Mount Bogong, Australia – is part of the Victorian Alps of the Great Dividing Range and the highest mountain in Victoria, Australia, at 1,986 meters (6,516 ft) above sea level (SRTM 90 m vs SRTM 30 m)

Our dynamic world elevation image services (Terrain and TopoBathy) are not just for visualization (such as multi-directional hillshade,tinted hillshade) but provide access to raw elevation values and derivatives (such as slope, aspect) for analysis. Access to these global layers is free and does not consume any credits; all you need is an ArcGIS Organizational account. It’s that easy!

With this update and previously released Africa , South America & Western Europe, SRTM 1 arc second is now available for the most part of the world from N 60 to S 60 as depicted below:

SRTM 1 arc second (~30 meter) covers land areas between 60 degrees north and 56 degrees south

Elevation Analysis Services are also updated to consume SRTM 1 arc second for Profile, Viewshed and Summarize Elevation tasks. SRTM updates are also rolled out in Terrain 3D service powering Web Scene viewer and ArcGIS Pro Scene.

For more information about the coverage of the World Elevation services please check out our Elevation coverage map.

by Rajinder Nagi, Lead Community Elevation

ArcGIS Terrain Toolbox

Terrain Tools Sample v1.0 beta:  A suite of Geoprocessing tools to produce cartographic effects for terrain representation

Download it here.

Source: http://blogs.esri.com/esri/arcgis/2015/05/21/take-your-terrain-mapping-to-new-heights/

Take your terrain mapping to new heights

by Kenneth Field, Senior Cartographic Product Engineer

Standard techniques for representing terrain, like a hillshade, are adequate for many applications, but you may want to represent terrain under different lighting conditions, or perhaps use more artistic techniques. In these cases you might need to go a little further than creating a simple hillshade. For this reason (and because we like making tools that extend what we can do!) we’ve built a new toolbox, called Terrain Tools, that helps you take your terrain mapping to new heights.

Cartographic research often develops techniques, models and tools that supplement or extend what you find in software out-of-the-box. They are often difficult to find, hidden in journal articles or cumbersome to implement. We’ve brought together some of these ideas and workflows in the Terrain Tools toolbox that provides capabilities for creating alternative terrain representations in ArcGIS (ArcMap and ArcGIS Pro). Terrain Tools are designed to extend your out-of-the-box toolkit for representing terrain in GIS by encouraging you to be more creative; how to think more critically about design choices; and how to go beyond the defaults.

You can download a zip file from ArcGIS Online that contains the toolbox, sample data, documentation and also an ArcMap Map Document and ArcGIS Pro Project. The Map Document and Pro Project also include results layers so you can see how the tools work before you use them on your own data. It’s important to note that the sample results show the results of running the tools using the default output. They are a starting point and many of the tools give you the flexibility to modify parameters and customize your own output. The documentation is in workshop format that includes discussion of each tool and instructions for use. Because the tools are written in Python they can be viewed, modified and used as a starting point for further development.

Here’s a brief look at some of the output you’ll get from running Terrain Tools.

Terrain Tools incorporates a few previously available tools which were available as models (built originally using ModelBuilder). They have been rewritten and optimized as Python scripts which improves stability and speed of processing. Additionally, a range of new tools have been either written (from the original published algorithms) or optimized as Python scripts from code samples.

One of the highlights of Terrain Tools is the new Cluster Hillshade which provides you with the ability to make spectacularly detailed and artistic hillshades with your own data. This is just about as close as you can get with an automated process to classic hand-drawn hillshading – and all from just a Digital Elevation Model input and a click of a mouse.

The Tanaka method for creating Illuminated Contours and Filled Contours are also included, here depicted one on top of the other:

Thematic maps haven’t been ignored. It’s perfectly possible to run the tools for any input raster (e.g. a statistical surface rather than a DEM) but there’s also a specific 3D Choropleth tool, useful for adding depth to a choropleth, encoding a second piece of information or as a way to see variation within a single class interval:

There’s plenty more tools to explore and, of course, the scripts are entirely open to being customised further. Here’s the full list of what’s included in the Terrain Tools sample:
Read the rest of this entry

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