- Mohan Bahadur Chand added an answer:How can we calculate thermal resistance from Landsat Image?
I want to estimate thermal resistance of the debris-cover glacier using the Landsat Image, since it is free. Does any body can answer this question?
Yea Hayder, I am also searching for the same and I need algorithms for in GIS or ENVI paltformFollowing
- Shian-Loong Bernard Lew added an answer:Can anyone recommend a geoinformatic methodology, utilizing remotely-sensed images, to assist in isolating tourism-induced development?
Preliminary checks turned up the following:
- Night light emissions & Light per capita
- Smog/Smoke emissions
- Hyperspectral imaging
So far there is one study I am aware of that is along the lines of the question:
Dear Bin Jiang,
Thanks for the links and the suggestions to the sources of data.
Dear Hein Van Gils,
Very helpful advice on the application context- yes settlements much like cities involve probably the same dynamics as cities, albeit at a smaller scale. Also the non-urban nature of some of nature-based tourism may allow the advancement of the methodological toolkit beyond urban tourism
- Khatir Benhanifia added an answer:Are the Landsat 8 OLI data available without terrain correction and with view geometrical configuration? Are Spectral Response Functions available?
The Landsat 8 OLI images with terrain correction are not useful for atmospheric correction aims. I would need the radiance image acquires by sensor without processing; the geometrical parameters of the acquisition (view zenith and azimuth angles); the spectral response function of the OLI channels. Can I get them somewhere? Can someone help me? Thanks
I think Landsat OLI images are not terrain corrected (using slope and aspect to delineate spectral effect of terrain morphology) but terrain orthorectified (georefenced) using GCPs or DEMs. The product is delivered in 16-bit unsigned integer format and can be rescaled to the Top Of Atmosphere (TOA) reflectance and/or radiance using radiometric rescaling coefficients provided in the product metadata file (MTL file).
- Pat S. Chavez, Jr. added an answer:What hyperspectral imagers are available on satellites?
Would hyperspectral sensors be able to detect and map coastal bottom features?
Can you be more specific as to the water conditions that you are wanting to detect and map bottom features. Clear or turbid coastal waters ? Water depth from 1 to 50 meters or 50 to 150 meters ? I have found it to be quite a bit more difficult to identify bottom features in coastal waters than on land (no surprise there). I used both natural color and CIR aerial photography with 0.1m spatial resolution and could tell the difference between 'broad' classes such as sand, hard rock, perhaps mud but could not say much about rock/coral type or mud differences. Part of the problem is that the different wavelengths are scattered/absorbed by very different amounts (just like in the atmosphere) so the water depths that the blues and greens go to (down to about 40m in very clear coastal waters such as Hawaii where we did our work) is quite different than what the reds go to. The NIR can penetrate only a couple or so meters in very clear waters. Any turbidity at all and the NIR will not penetrate but a few inches (the depths of the other bands will also be affected dramatically by turbidity). Two remote sensing data sets that I found quite useful were shipborne dual frequency acoustic and airborne lidar bathymetry.
- Akim Mahmud added an answer:Remote Sensing of Marine DebrisMarine debris seems to collect in ocean convergence zones, such as the North Pacific Subtropical Convergence Zone. Assuming that one can map these convergence zones using satellite remote sensing, what would be a cost-effective way to check whether they contain marine debris? Can high concentrations of plastic waste in the ocean be detected remotely?
please let me know , if there any recent research on this matterFollowing
- Gabriel Hmimina added an answer:Field Spectrophotometer for Vegetation ReflectanceWe are going to collect more than 300 sample plots in 19 districts for the biomass and carbon stocks study. I am thinking why we should not include "Field Spectrophotometer for Vegetation Reflectance". If you have experience, please share with me;
1: Advantages and Disadvantages
2: Different models of Field Portable Spectrophotometers with prices
The saturation issue may not be caused by the spectrometer. There may be too much incoming light. If you are using a diffuser or lense directly mounted on the spectrometer, you should try using an optical fiber to limit the amount of light which pass through the spectro slit.
If you are already using a fiber, you should try another one with smaller core diameter.
Most of the time, one should avoid working with small integration times since it is much more sensible to changes in incoming light, thus hard to get a stable measurement.Following
- Saif Uddin added an answer:Which is the best possible algorithm and satellite dataset for estimation of suspended particulate?Which will be the most suitable satellite data to estimate suspended particulate matter in shallow turbid areas like the Northern Persian Gulf?
Chavez you are right. But didi you experiment with MODIS data? I see band ratios work quite reliably in areas where the SPM is around 10 - 30 mg/LFollowing
- James Varghese added an answer:What is the appropriate way of performing a multi-temporal land cover change detection analysis?
I have three different satellite Images from three different time periods, one from Landsat 8 (30 m), another from ASTER (15m) and one from MODIS (250 m). The objective here is to do a multi-temporal land cover change detection analysis study with the help of Digital Image Classification. I plan to first do the Image Classification for the three images separately and then resample the coarser spatial resolution images to the geometry of the finer spatial resolution, i.e., MODIS (250 m) to 15m pixel size and Landsat (30m) to 15m pixel size respectively for the sake of comparison. Finally after resampling with a Nearest Neighbor Interpolation method I would go ahead with the change detection process.
I am curious to learn whether this is the right approach or are there better means of achieving the desired result?
Thanks Diana and Dr. Gils for your answers & for the papers.
I did not have a specific aim beyond change detection (general vegetation variation) when I framed the question initially. I was just interested in 'how to do it' question rather than 'why to do it' but after getting all these exceptional answers, I have thought to do a thorough reflection on the aims and objectives. Just a self learning exercise. That's all.Following
- Ata Haddadi added an answer:What are the suitable rule sets to separate Asbestos-cement roofs from dark concrete roofs in Hyperspectral image using object based Image analysis ?
Remote sensing, Asbestos, Impervious surface, object based image analysis, Image processing, Image classification, Hyperspectral remote sensing
I recommend to plot signature of both classes and find the absorption bands.
Then calculate continuum removal and other properties for the absorption bands like, depth and FWHM. Even you can use a ratio which presents the differences between these two classes.Following
- Sachin Patil added an answer:How can I quantify minerals in a soil sample using a spectrometer in a laboratory (FieldSpec 3)?How can I quantify minerals in a soil sample using a spectrometer in a laboratory (FieldSpec 3)?
U can find this link to be useful also
All d bestFollowing
- Sachin Patil added an answer:How does one interpret Soil Spectral Data taken by Hyperspectral Sensors?I have hyper-spectral data of soil reflectance at one nanometer distance, which have been taken by ASD. Now I have to interpret it in regards to soil chemical properties and soil fertility. Please tell me what analysis I can do on the said dataset and what s/w I require?
I find it as most complete answerFollowing
- Aniekan E. Eyoh added an answer:Can anybody give me useful input on how to assess salinity hazard in a tropical region using hyperspectral imaging?
My study area is Nigeria
Thank you Peter and Sachin for yourFollowing
- Peter Kardevan added an answer:Can training pixels replace a field campaign in aerial hyperspectral 1m VisNIR SWIR image analysis?
In airborne hyperspectral (1m), can signatures of target objects be extracted from training pixel instead of field campaign? This is to reduce cost; but does this affect information extraction performance? The application is tree species identification in mixed urban and rural environment.
I uploaded my publication on ReseachGate under the title:
Kardeván, P et al 2003 Weed Detection by multispectral satellite images
Though, it was written in Hungarian, I supplied figure captures with English translation for you. You can approach me for further discussion, if you like, via
- H. T. Basavarajappa added an answer:Can somebody recommend a paper describing the use of the Nonlinear optics for hyperspectral imaging?
I would like to know what is being done in this area to understand if that can be relevant to my research.Thank you in advance!
High Resolution imagesFollowing
- Vladimir Farber added an answer:What is hyperspectral imaging system and how does it function?I'm currently preparing the research related on the hyperspectral imaging system. Anyone have any idea how the hyperspectral camera works, understand the hyperspectral camera structure and construction diagram? One more question, what is the difference between using prism and grating in hyperspectral camera.
Lately have become very popular hyperspectral techniques (cameras) for the acquisition of compressed hyperspectral. This cameras implemented by previously multiplexing hyperspectral data and then capturing less measurements.
You can find some interesting methods and hyperspectral camera types in the following paper:Following
- Iftikhar Ali added an answer:How can I use support vector machine and random forest for spectral discrimination?I want to use support vector machine and random forest to discriminate 3 different levels of insect defoliation from data collected from ground based hyperspectral sensors. I also wish to resample my ground based data to different sensors and compare the 2 algorithms above using indices derived from the data.
The scikit-learn library for python is best and easy to use–many machine learning algorithms a implemented in this library.Following
- Maria teresa Melis added an answer:Can anyone recommend the best books in terms of quality and simplicity of explanations for hyperspectral imaging?
Hyperspectral imaging plays important role in my research, but my knowledges in this theme mainly based on a set of articles. I want to expand and orgonize my knowledge in this field. So, which books can be used as the bible for Hyperspectral imaging?
Shunlin Liang- Quantitative Remote Sensing of Land Surfaces- WileyFollowing
- Arindam Guha added an answer:What is swath width in hyperspectral sensor?
The Hyperion EO-1 can image a 7.5 km by 100 km land area per image,
is 7.5km the swath width?
Swath width of hyperspectral sensor depends on platform height and the spatial resolution of the sensors. Swath width of Hyperion sensor is although 7.5 km; the proposed ENMAP sensor has planned Swath for 30 KM without degrading the pixel resolution. This was possible due to advancement of sensor technology.Following
- Ruslan Kozhemiakin added an answer:How to find Spectral change vectors(SCVs) of Hyperspectral images?
Let X1 and X2 be two hyperspectral images acquired in a same geographical
area at times t1 and t2, respectively. The SCVs XD is
computed x=x2-x1. But my question is Should we need to subtract the images by spectral wise?
SCVs may be useful for some applications such as hyperspectral data compression. Some of this aspects you can find in dataset https://www.researchgate.net/publication/258286451_Spie_Ers_13_8892_20.Following
- Jean Guillard added an answer:Can you suggest a remote sensing techniques for mapping submerged aquatic vegetation?
What are the best satellite or aircraft remote sensing techniques for monitoring and mapping submerged aquatic vegetation?
The best solution is to use hydroacoustic from a boat:
Winfield, I. J., C. Onoufriou, M. J. O’Connell, M. Godlewska, R. M. Ward, A.
F. Brown and M. L. Yallop. 2007. Assessment in two shallow lakes of a hydroacoustic system for surveying aquatic macrophytes. Hydrobiologia 584:111-119Following
- Closed account added an answer:Airborne Lidar and Hyperspectral data fusion: which software to use?
I have several airborne hyperspectral 65-105 band datasets with simultaneously acquired lidar data and RGB orthophotos too. Each source has usually a different GSD. I don't have any experience with data fusion so far. My task is to evaluate currently available tools and methods e.g. algebraic procedures, Dempster-Shafer Theory, neural networks, Bayesian networks, fuzzy set theory, principle component analysis or any combined methodology. Suggestions for particular method and tool are welcome.
I have access to commercial (ENVI5, ArcGIS10.2, eCognition8) and free software (QGIS, GRASS, FUSION). Maybe you know of something better for this task..
I have now access to ERDAS Imagine 2014 too.. maybe helps.. It's a shame I don't have latest ENVI 5.2 with LIDAR module..Following
- Vladimir Farber added an answer:Can anyone recommend references on papers describing applications of the integration of the 3D + hyperspectral imaging?
I'm mainly interested to understand in which fields integration of this kind is already used and how it can be performed, that is how we can simultaneously acquire the hyperspectral and 3D information about objects?
Thank you in advance!
Thank you for your responses, Rebecca, Alessandro and Peter.
Does anybody know the additional 3D techniques not considered above, but which also can be used for simultaneous acquisition of the 3D and hyperspectral data?Following
- Ruslan Kozhemiakin added an answer:How can image quality assessment be done for 5 different images of the same scene?
After getting RGB images from a hyperspectral image using 5 different techniques, how can one represent the quality of results quantitatively? A quick and handy solution is required.
Such methods exist, but they have different accuracy and may not reflect the various features of human vision. By the way, check Matlab Central.Following
- Muhammad Tsowa Usman added an answer:What is the challenging issue in water mapping of lakes or rivers by using optical remote sensing data?We are using MNDWI, NDWI, VIUPD and several indices to delineate water boundary from non-water features. We try to implement these methods for floods or lakes and try to choose some best threshold methods.
The turbidity, organic and inorganic matter content of the water, and the nature of the atmospheric layer between the sensors and the water body (often influenced by time of the year) and the nature of the surface at the boundary between water and land could introduce challenges. These variables would affect the albedo of the water body and make it more difficult to distinguish. There have been a number of studies utilising bio-optical and radiation transport models to enhance mapping accuracy.Following
- Christian Rogaß added an answer:smile correction for hyperion datasethi
i want to correct smile effect from my Hyperion dataset while i don't have access to modtran simulation.
can you suggest me an practical way for this purpose?
You can correct for smile using atmospheric absorption features. Those are relatively sharp and Hyperion 'sees' them. Just follow the approach of L. Guanter: http://earth.esa.int/ers/pub/ESA_DOC/PROBA/Guanter_AppOpt_April06.pdf
If you need more assistance, just contact me.
- Alessandro Lugari added an answer:Does anybody have experience in working with 2012 fusion contest data set?I have some trouble in SAR and optic data registration and finding proper ground truth data.Following
- Said M.A. Nawar added an answer:Which methods allow retrieval of mineralogy from soil using proximal sensing?The complex scattering behaviour of minerals within a soil sample may be addressed by model approaches that assume either linear or non-linear reflectance of the constituents.
Thanks Petre for your answer. Really very good book in soil sensing.Following
- Scott Lett added an answer:Is there any publicly available Hyperspectral data-set which can be used for detection of hidden/ camouflaged objects like tanks, mines etc?
Hyperspectral data available for public is limited and I am unable to find any data for the purpose mentioned above. Any help will be greatly appreciated.
I don't speak for them, but you might try contacting Exelis Visual Information Solutions, who sell ENVI. They may know where some freely available data sets might be located. NASA might be another place to ask. Good luck!Following
- José Maria Brabo Alves added an answer:How can I detect desertification by remote sensing?Which image product is best suited for this purpose and how can I download that product?
Today, there are many studies as user remote datas in detection desertification problems (NDVI, climatological indexes, that user precipiation and temperature air in surface, evapotranspiration, etc). Is important knew the environment conditions to associated the climate variability of the indexes.Following
About Hyperspectral Remote Sensing
All remote sensing topics related to hyperspectral data.