Announcing the New Debut of JMARS for the Earth (J-Earth)

Today we are debuting a new release of JMARS for the Earth (J-Earth). This new version has new datasets, a new user interface, and is ready for testing. We developed this version of J-Earth in response to feedback from the joint  NSF/ NASA sponsored urban remote sensing and land use change forecasting workshop in April 2011 - http://urbangrowth.ugecproject.org/ . We are looking for users in both decision making and research communities to help us develop J-Earth in the coming months. We are requesting ideas for further datasets to include, functionality changes, and suggestions on potential user communities that could benefit from J-Earth.

Download the experimental J-Earth:
http://jmars.mars.asu.edu/static/jearth-demo.jnlp

Feedback:
Report problems with J-Earth and make suggestions for new functionality: http://tinyurl.com/64o62r6
Suggest new datasets to include in J-Earth: http://tinyurl.com/5vgyfep

Training:
See J-Earth's YouTube Channel - http://www.youtube.com/JMARS4theEarth

Please contact us with any questions or comments: lprashad -AT- asu.edu

New Datasets

While J-Earth contains exceptionally comprehensive and high resolution satellite-derived data and imagery, there exists the need for this tool to include geographic data products from the forefront studies and projects lead by international universities and organizations. Several of these global datasets have recently been acquired for addition into J-Earth; many of which also contain a temporal dimension which when ingested into J-Earth, make this a unique and powerful tool for spatial analysis.

 

The climate datasets include maximum, minimum and mean temperature as well as precipitation (shown below) coverage of the entire globe with a spatial resolution of I kilometer. The “current” climate data are interpolations of observed data from 1950 to 2000. The “future” climate data are output products from HadGEM1 for 2050 under the SRES-A1b emissions scenario (ccafs-climate.org). Both products contain full data for all 12 months of the year.

 

October precipitation in Southeast Asia (screen capture from J-Earth

Octprec

 

The political boundaries for five administrative levels have also been added to J-Earth. This dataset includes the polygons of continents, countries (shown above), provinces, states, counties, municipalities, districts as well as attribute tables with information collected from census reports, the World Bank, and the United Nations.

 

Also included in J-Earth are the gridded population counts and density (shown below) datasets from the Socioeconomic Data and Applications Center (SEDAC). Like the climate datasets, these also have a temporal dimension; both counts and density data span from 1990 to 2015. Future estimates are projected from the spatial and population input data used to construct the Gridded Population of the World version 3 (GPWv3) (CIESIN and CIAT, 2005) . Other additions from SEDAC include global coverage datasets of settlements and urban extents. These datasets will aid J-Earth users in defining a geographic area of interest to which other datasets may be queried against.

 

Gridded population density data of Europe (screen capture from J-Earth

Eurpop

 

The data product from the Global Land Cover 2000 Project has also been added to J-Earth. This dataset (shown below) was used to provide information to the International Conventions on Climate Change, the Convention to Combat Desertification, the Ramsar Convention, the Kyoto Protocol, and the Millennium Ecosystems Assessment. This dataset is a main input for the latter to define the boundaries of the different ecosystems such as forest, grassland, wetlands, and cultivated systems. Ingested into J-Earth, this dataset may be used as a tool for users to analyze both global and regional ecologic systems.

 

Global Land Cover

Lanco

Source: Global Environment Monitoring Unit

 

Spatial data of the Red List of Threatened Species has been acquired for addition into J-Earth from the International Union for Conservation of Nature (IUCN). This spatial data collection provided in J-Earth includes species distributions from some of the most comprehensively assessed taxonomic groups such as amphibians, mammals (shown below), birds, reptiles, and mangroves. The IUCN Red List of Threatened Species uses a set of criteria to evaluate the extinction risk of thousands of species and subspecies in all regions of the world and is recognized as the most authoritative guide to the status of biological diversity.

 

Threatened mammal richness (number of species)

Thrmam

Source: IUCN Red List of Threatened Species


Documentation for the above mentioned datasets can be found at the following links:

 

climate datasets: http://www.worldclim.org

population and urban datasets: http://sedac.ciesin.columbia.edu

boundaries: http://www.gadm.org

land cover: http://bioval.jrc.ec.europa.eu

IUCN Red List: http://www.iucnredlist.org

 

TIMS Images Update

All TIMS (Thermal Infrared Multispectral Scanner) images were obtained from LPDAAC at the end of last month, and have now been completely processed.  Out of the original 3,144 files received 3,135 files have been processed and possess each of the following: an accurate ENVI header, radiance calibrated ENVI files (hdr included), a 5-3-1 decorrelation stretch in JPEG2000 format, a numerical surface temperature tiff, and a six-banded emissivity tiff.  The dcs and surface temperature products are currently being injected into JEarth.  The loss of the 9 files was do to inaccurate georeferencing, the file being empty, or bad data from the instrument.  Slightly more time needs to be spent until the TIMS Stamp layer in JEarth is ready for launch, but as far as the processing goes, they're all complete.  The full data set can be expected to be shown in JEarth shortly, sneak peaks are shown below.  Enjoy!

Screenshot
Screenshot-1

Filed under  //   tims  

Thermal Infrared Multispectral Scanner (TIMS) Data Set

Recently we have obtained the complete raw data set of all the TIMS imagery from LPDAAC (Land Processes Distributed Active Archive Center). Currently, a script has been written which produces images calibrated for radiance using the program called Envi. These radiance calibrated images will be used to create a decorrelation stretch, surface temperature and emissivity calibrated images. The decorrelation stretch and surface temperature images will be the first to be added to JEarth.

Right now, the images cannot be atmospherically corrected but certain possibilities are being checked out, so hopefully the final products will be made from radiance and atmospherically corrected images.

Our catalog of approximately 3,000 TIMS imagery spans most of the United States, small sections of Canada and Central America, and a concentrated area of Aftrica (see footprints shown in red below).

Screenshot-4

Filed under  //   tims  

GOES Problems

The processed GOES images aren't quite in the right place. The warp is still leaving them offset by a slight margin, increasing as you progress westward. At the worst, the images are off by approximately 10 km (in the IR images). To help resolve this issue I've made a grid of latitude and longitude lines from the nav file, so that when the warp is applied to the image we can see more accurately what exactly is going on.

Latlongrid

Gridprocnear

The next step is to investigate whether the images are actually moving slightly, which has been suspected because even though the satellite is geostationary, there's a possibility that it wobbles slightly in its orbit.

As of right now the infrared images are being processed with the “old” warping code, but the vis images are not.

Filed under  //   GOES  

GOES Completion

We have successfully been downloading and collecting GOES imagery for over 8 months now and have just over 100,000 images. Of those ~100,000 approximately ~85,000 have been processed and are completely ready to be put into JEarth. Each image that is downloaded undergoes a 4 stage processing sequence. The raw image is first masked, then GCPs (ground control points) are applied, then the image is warped, and finally it is cropped. The products from each stage are shown below (**not true size):

Raw image

1102061645g13i02

Masked image

1102061645g13i02masked


Image with GCPs -- these look visually exactly the same, they just have metadata with them.

 

 Warped image

1102061645g13i02warp

Compressed and cropped image (final product) 

1102061645g13i02proc

After each of the images has been processed, a program runs which updates a sql file containing the id, corner points, path and several other aspects of each individual image on file. This sql file will be used for the database and is necessary for uploading the images into JEarth.

So, right now all the infrared images have been processed and their information is being added to the sql file right now. The vis images have not all been processed because they take a great amount of processing power and time to do since we are 8 months back from processing in (semi) real time. These will be done soon though and their information will also be added to the sql file.

As of today, every morning GOES images are being automatically downloaded from the day before, then they are sorted into their proper directories and processed. Once that has finished, the sql file is updated with the new image data. The scripts are free standing and once the backed up vis images are processed and added to the sql file the entire collection will be completely processed and automatically updating every morning.

JEarth now has completely new and unique data set to use and explore: GOES!

Filed under  //   GOES  

ASTER stamps

(download)
This is a demonstration on loading and rendering ASTER images, it also goes through locating a stamp and various aspects of this feature.

CO2 emission video by Edward Burgess

(download)
 This is a video from a user who uploaded his own data sets on CO2 emission in Phoenix into J-Earth.

Shaded relief


(download)

A shaded relief map along side a decorrelation stretch and drawing 

Surface temperature video

(download)
loading surface temperature map, changing the map settings, uploading a saved color map and drawing a transect.

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