Slashgeo Log In
Hyperspectral Imaging for Water Applications
posted by Satri
on Tuesday August 28, @11:58AM
Permalink
Trackback URI
Slashdotthis
Diggthis
Del.icio.us
from the drink-the-water-in-hyper-mode dept.
Permalink
Trackback URI
Slashdotthis
Diggthis
Del.icio.us
from the drink-the-water-in-hyper-mode dept.
Hyperspectral remote sensing has not received a lot of attention in the last few years, probably due to the difficulty of obtaining hyperspectral imagery. That said, the weogeo blog runs a long entry on hyperspectral imaging for water applications. From the entry: "An advantage of HSI is automatically rendering data into feature extracted maps. Automated, in this case, means that an algorithm (as opposed to an expert) can render the imaging data stream into maps of bathymetry, red tides, sea grass beds, wetlands vegetation, habitat maps, land use change, etc. Automated is important because these imaging data can be terabytes in size. [...] Trying to manipulate and analyze the imagery for features, targets, and materials taxes the time and computer systems requirements to the point of making HSI technology and products the realm of the few." See also related stories.
Related Stories
Using Hyperspectral RS for Exploration Geology 4 comments
[+]
LKS writes "Looking again at back issues of Earth Observation Magazine, I came across this article on using hyperspectal remote sensing for mapping minerology.
Hyperspectral imaging uses a wide range of spectral bands to measure the reflectivity and/or absorption of the surface. From the article - 'Subtle mineralogical differences—often important for distinguishing between rock formations or between barren ground and potential economic ore—are often difficult to map in the field. Hyperspectral remote sensing, the measurement of the Earth's surface in up to hundreds of spectral images, provides a unique means of remotely mapping mineralogy.'"
Hyperspectral imaging uses a wide range of spectral bands to measure the reflectivity and/or absorption of the surface. From the article - 'Subtle mineralogical differences—often important for distinguishing between rock formations or between barren ground and potential economic ore—are often difficult to map in the field. Hyperspectral remote sensing, the measurement of the Earth's surface in up to hundreds of spectral images, provides a unique means of remotely mapping mineralogy.'"
Application Domains: Sahara's Edge Studied for Water Management
[+]
GeoPlace points to an article from the ESA portal named Sahara's edge studied from ground, air and space to improve water management. From the article: "High-resolution radar as well as hyperspectral optical imagery was acquired during flights across two test areas in southern Tunisia. [...] The aim was to scale up the findings from the ground, and at the same time to use this 'ground truth' to calibrate satellite imagery with reality on the sandy arid ground – as well as seeing what can be learnt about the water beneath it."
Canada and Italy to Study Joint Hyperspectral Mission
[+]
The EOPortal runs an article where we learn Canada and Italy are studying joint hyperspectral mission. From the article: "The Canadian Space Agency and the Italian Space Agency today announced they will collaborate on a feasibility study to evaluate the viability of a future joint Hyperspectral Space Mission. The announcement follows the signing last year of a long-term agreement between Canada and Italy to formalize continued cooperation in space-based Earth Observation. " (via Vector One)
Industry: Amazon Web Services Challenge Features WeoGeo 1 comment
[+]
All Points Blog offers coverage with Spatially Adjusted on WeoGeo, a geospatial startup which successfully accessed the finals of the Amazon Web Services Start-Up Challenge. From the contest's website: "WeoGeo creates a one-stop marketplace for mapping using Amazon EC2 and Amazon S3. WeoGeo supplies surveyors, engineers, cartographers, and scientists with the ability to conveniently store, search, and exchange high-resolution CAD and GIS mapping products. Mappers easily list their data for sale and researchers quickly find the data they need." APB also have a podcast with WeoGeo's Paul Bissett and a graphic tour of their product. It's the last day to vote on Amazon's website. Good luck to WeoGeo! Dan Dye, working for WeoGeo is also a contributor to Slashgeo.
This discussion has been archived.
No new comments can be posted.
Hyperspectral Imaging for Water Applications
|
Log In/Create an Account
| Top
| 3 comments
| Search Discussion
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
"difficulty of obtaining hyperspectral imagery"
(Score:3, Interesting)Is that difficulty due to limited *availability* or a lack of distribution? I think that it is the latter and I'm betting that WeoGeo (full disclosure: I'm on the payroll) is going to fix that problem.
For example, this dataset: an HSI mosaic of St. Joe's Bay Florida [weogeo.com], can be subset (spatially and spectrally) to download only the AOI and bands that are needed. This makes the data manageable (one of the major difficulties) and thus usable.
Re:"difficulty of obtaining hyperspectral imagery"
(Score:3)( http://alexandreleroux.blogspot.com/ | Last Journal: Friday March 17, @04:07PM )
One of my conclusions is hyperspectral RS, at the moment, faces competition from multispectral high resolution satellites such as Quickbird, Ikonos and Orbview. Of course, these high rez satellites don't provide the full spectrum from 400 to 2500 nm with hundreds of spectral bands, but hey, it's really related to what you need to do! Hyperspectral data is perfect for science, but there aren't as much customers for such data as there is for high rez multispectral data. There's no "high" resolution hyperspectral satellite up there. Hyperspectral data from aerial campaigns are a possibility, but you need a consequent budget.
Don't take me wrong, I do believe we'll see more and more hyperspectral data with time, but we're just not there yet! If your company hope to make inroads in this field, I hope you'll succeed! Hyperspectral is the natural evolution of multispectral imagery.
"difficulty of obtaining hyperspectral imagery"
(Score:1)Is that difficulty due to limited *availability* or a lack of distribution? I think that it is the latter and I'm betting that WeoGeo (full disclosure: I'm on the payroll) is going to fix that problem.
For example, this dataset: an HSI mosaic of St. Joe's Bay Florida [weogeo.com], can be subset (spatially and spectrally) to download only the AOI and bands that are needed. This makes the data manageable (one of the major difficulties) and thus usable.