- Sivagnanam. S added an answer:5Can anyone post index development method by using Hyperspectral remote sensing data?
how can i select spectral band from hyperspectral data. refer me good methodology for index development.
Hai thank you to all whom answer to my question.
I am very much interested to find the new index form spectral reflection. any one have mathematical idea/article about developing new index. kindly refer to meFollowing
- Lorene Lynn added an answer:3What are the recent research trends in utilization of spectroradiometer and hyperspectral data to determine soil nutrients in black soil/vertisols?
*Am also looking for the methodology to predict spatial variability of soil nutrients (specially for pigeon pea fields in India )
* Even want to know ,predicting spatial variability of micro nutrients( other than N,P,K) may help in knowing the soil fertility index in robust manner.
Hi Vinod, You can also look at this paper and others on XRF technology by Weindorf and others: https://www.researchgate.net/publication/270218560_Characterizing_soils_via_portable_x-ray_fluorescence_spectrometer_2._Spodic_and_Albic_horizonsFollowing
- Hafsat saleh Dutsenwai added an answer:5How can I get free hyperspectral data apart from Usgs EO-1 Hyperion?
I could not get the data scenes for my study area when i searched usgs glovis EO-1 hyperion, please help with another free data source. Thanks
Thanks James and khan your suggestions were quite helpful.Following
- A. Barberopoulou added an answer:4Any experience in focusing ALOS Level 1.0 data using Sarscape 5.1 ?
I am currently trying to focus ALOS Level 1.0 data using Sarscape 5.1 in order to do SBAS-InSAR work.
I have no experience in doing so. I am not happy with the result I obtain, please see an example of result here (over urban area)
The settings I use:
Data type: ALOS PALSAR Single Pol
Global and Other Parameters are set to default
Can you confirm the result I obtain are not what I am suppose to obtain ?
How can I improve the focusing ?
I will look it up briefly when i go home. I did do this process before. Can you please confirm that you are using orbits? I have previously used orbital data for older satellite data like ERS and ENVISATFollowing
- Marcos J. Montes added an answer:3Does anyone know any open/commercial software available for atmospheric correction for HICO data using Tafkaa_6s?
The data i am using is HICO sensor hyperspectral data with scenes mostly covering the coastal area. For these kind of scenes, instead of using FLAASH(based on MODTRAN4 transfer code) in ENVI, the suitable atmospheric correction is Tafkaa_6s as mentioned in HICO website. I would like to use the Tafkaa_6s but couldnt find right software platform. should i code the algorithm or are there any softwares available for the atmospheric correction? i would like to have suggestions on this.
I've got connections to your question in so many ways.
However, the easiest method is likely to use the tool that calls it at this HICO OSU website. Go to the HICO website at OSU.
There are currently two ways to access the tool. The first is from the “HICO Sample Image Gallery” webpage, which is open to the public. This webpage provides access to twelve of HICO’s best images. Accompanying each image is a “process to L2” button which provides access to the tool for that particular scene.
If you are a HICO user, I think you can use the tool for any image. The tool runs at the OSU computers.
To become a HICO data user, use the "Contact Us" link.
- Manish kumar Patel added an answer:5What is hyperspectral CASI imager and what is its specification ?
Concerning hyperspectral remote sensing. What is hyperspectral CASI imager and what is its specification ?
Thanks a lot @Marcos J. Montes and @ Murali Krishna Gurram for your very helpful sharing of knowledge.Following
- Theresa Mannschatz added an answer:20Has somebody tried to detect pesticides with hyper spectral remote sensing in the field?
I would like to test if we can detect and map pesticides using the "new" hyper spectral remote sensing satellites that will become available soon.
I know that spectroscopic methods can be used to analysis pesticides, but does this also work in the field? It would be a great success if it would be working to detect at least levels of pesticides e.g. applied in agriculture for risk analysis.
obrigada! Thanks! I didn't know that article. I found it on our platform (https://www.researchgate.net/publication/271557244_A_Review_of_sensor_technology_for_in-field_phosphate_monitoring). It is summarizing sensors for phosphate detection on the ground using sensors.
The conclusion for spectral sensors was that you would need a field/site specific calibration, what I agree. If you do not do a field specific calibration than uncertainties become large. The question however remains how we could bring the field measurement (which is already prone to uncertainties) to the satellite or airplane level. For many applications it would probably enough to get the general level of pollution without having extensive expensive and time-consuming field measurements. Once there is the indication for pollution then of course measures on the field scale should be implemented.
até mais TheresaFollowing
- Kamaruzaman Jusoff added an answer:7Mangrove Mapping?Can mangrove cover (extent) and main species composition be mapped with multispectral scanners or must one use hyperspectral techniques? What spatial resolution would be required for global mangrove mapping using satellites?
Try reading some of my papers involving mangrove species identification & mapping in Malaysia using airborne hyperspectral imagingFollowing
- Athiraja Atheeswaran added an answer:3How can I select the best bands from the Pavia dataset for the extraction of the different features?
Here I am using Matlab 2013A as a tool Link is given below from where dataset has been downloaded (http://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes). I have .mat file which i open in Matlab 2013A.
1. Here i want to know that which neural technique is use for the extraction of the features in the dataset.
Please refer the following linkFollowing
- Julian Rosser added an answer:4How can I validate my research outcomes with any other classifier?
Doing research in HSI classification on SVM based classifier. I'm using standard data sets for classification. I want to validate the outcomes with other classifier. It's enough to compare with the existing works or need any specific? I'm confused in it. Advanced thanks for valuable comments.
Could you compare the different classifiers using an ROC curve for each? For a binary (two class) problem the ROC curve tests how effective the classifier is at discriminating between different labels.
This would require that the SVM implementation employed is configured to output membership probabilities (rather than just the label). Other classifiers like random forest or naive bayes will generate membership probabilities.Following
- André Große-Stoltenberg added an answer:3Does anyone have knowledge on full waveform lidar and hyperspectral imagery?
Can anyone suggest to me on technical aspect of how to extract forest biomass from full waveform lidar and hyperspectral imagery (in fusion). Should I run modelling? or software processing by validating with ground data? software? algorithm? I need a general idea
Hi, there are videos and tutorials on the Lastools homepage (http://rapidlasso.com/category/videos/) that will give you a general idea of LiDAR processing and retrieving forest metrics. Lastools is also able to process full waveform data.
There also videos and tutorials on the NEON website (http://www.neoninc.org/learn-experience/work-with-data).
If you search for "lidar hyperspectral forest" you will find a decent amount of recent scientific publications.
Hope that helps!Following
- Guoming Gao added an answer:6Can anyone provide hyperspectral data with ground truth information ?
My study is to develop a new algorithm for hyperspectral data classification. Currently i am using freely available AVIRIS cuprite data set and Virtual Verification method for classification accuracy assessment. Can anyone provide other standard hyperspectral data with ground truth information to test my algorithm.
- Christian Rogaß added an answer:5Can you give few alternative sources for downloading hyperspectral remote sensing data in addition to hyperion sensor?
Can you give few alternative sources for downloading Hyperspectral remote sensing data in addition to Hyperion sensor ?
You can also use simulated EnMAP data that is available from www.enmap.org and originated from hyperspectral airborne campaigns.
- Dr. Asutosh Kar added an answer:2Any advice on hyperspectral target detection ?
i am working on anomaly detection in hyperspectral imagery, but i dont have HYDICE data that most of the experiments have been done on it .the HYDICE data is used in many article as an example " A Comparative Study of Linear and Nonlinear Anomaly Detectors for Hyperspectral Imagery" M.Nasrabadi
if anyone have that data please send me the link of that,?
I have attached few papers for you. I think you will get a detailed answer of your concern once you go through it. Please feel free to ask more if you come across any doubts while reading these papers.Following
- Mahboobeh Parsapoor added an answer:3Any advice on feature extraction through the neural network form a pavia centre dataset ?
I had downloaded a Pavia centre data file (.mat format) from Here i want to know how to extract features (water, tree) from the given dataset through neural network..Following
- Behrouz Ebrahimi added an answer:10Can we draw the spectral curve for a single pixel from a satellite image (for each band)?
Considering that satellites (for example LANDSAT) take a image in multi bands and every bands take a image in spectral range (for example for band 1 of ETM+ sensor it is equal to 0.52-0.45 micrometer) so we should be able to draw the spectral curve for each pixel.
thank you so much for your answersFollowing
- Fardin Mirzapour added an answer:4Where can I find an HSI Database for research with more than 25 images?
Does anyone know where can I find a HSI database for any object or material, but with more than 25 spectral images (i.e. 25 *x*y*lambda)?
It would be nice, if somebody could propose a HSI database for agricultural, medical, food, and circuits. Thanks!
Feel free to share your database with me, I have no problem to cite your database.
Thanks in advance.
You may find a few HS data set along with ground truth map here:
These data sets have been saved in Matlab format (.mat file).
- Sid James Nelson added an answer:6Does anyone have information about the PROSPECT, SAIL and PROSAIL Models?
I want to estimate Nitrogen and other fertilizers content on Cocoa tree by hyperspectral RS. How can these models help me and can you suggest a more suitable model?
Thank you so much in advance.
The above answers should have useful information in helping select the bands of you remote sensing spectral data.Following
- Piotr Kowalczuk added an answer:4Anyone familiar with mapping chl-a in CDOM rich waters?
Some river plumes have extremely high CDOM concentrations.
Are there practical correction techniques for improving the chl-a S/N in CDOM rich waters so that the chl-a concentration could be estimated?
The best strategy is to test retrieval algorithms at longer wavelengths. You should check the band rations algorithms with spectral band combination Rrs(550)/Rrs(590). We have tested it in the Baltic Sea and it works. You could also try Rrs(550)/Rrs(620) combination. Another strategy is to retrieve the total absorption at 676 nm from semi-analytical algorithms and than relate it to chlorophyll a concentration. CDOM absorption at 676 is negligible even in most organic reach waters.Following
- Lotfi Mustapha KAZI-TANI added an answer:11Why do Vertisols show high values in redness index image?
I applied redness index to Landsat ETM+ in my study region located in the North western part of Algeria. I’ve got quite good results concerning Mediterranean red soil but I couldn’t understand why the vertisols are as bright as or even brighter than red soil in the redness index image.
The redness index is calculated as follow:
B1 : Reflectance of band 1 corresponding to the blue
B2 : Reflectance band 2 corresponding to green
B3 : Reflectance band 3 corresponding to red
of Landsat ETM+Following
- Francesco Bianconi added an answer:3What are the main criteria to select frequency scales and orientations in 2-D gabor filtering for images?
I want to extract texture features from images using 2-d gabor filtering. What are the way to choose frequency range and how many scale i should use.
Here's a paper you might find useful:
Bianconi, F., Fernández, A. Evaluation of the effects of Gabor filter parameters on texture classification (2007) Pattern Recognition, 40 (12), pp. 3325-3335.
Apologies for citing my own work ;-)
- Frank Veroustraete added an answer:25How can I detect desertification by remote sensing?Which image product is best suited for this purpose and how can I download that product?
I made a study of desertification in the Xinjiang province (North- Western China) lately, using a multi-temporal series of 50 years Corona and Landsat imagery. The LUCC is enormous over that time lapse in the Xinjiang province. It led to increased desertification in originally natural landscapes. In short, an originally natural landscape with gallery forests along the Tarim river and its tributaries changed into a patchy landscape with irrigated agriculture plots on the one hand and sandy deserts on the other hand. This LUCC had a fundamntal impact on regional hydrology. The Tarim river in the 50 years mentioned retracted by more than 200 km from its original Gobi desert ending. If you want to know more, then read the paper available on ResearchGate:
I think that the Xinjiang province gives a fairly good example of what large scale desertification is all about e.g., humans changing natural landscapes - in equilibrium with regional hydrology - replaced by desert and irrigated cropland (mainly cotton for export to SoutWestern China sweatshops). In fact the original water resources in the new landscape has been focussed on irrigated agriculture and the original natural landscape degraded into sandy desert. Another large scale example exists in Kazakhstan (Aral Sea), not that far Norrth from the Xinjiang province, with the difference that the Aral Sea has almost vanished into pure desert. Al fishing activities in the Aral Sea have stopped and people had to move or die.
- Regan D added an answer:4How can I apply my image classification algorithm on these data in matlab environment?
I find HSI images on this link: http://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes. But all are having more than 10 no. of channels. Want to know how can I use this in matlab for image classification. Because I don't know what are the RGB channels among various channels. If it is possible convert them into tiff format? Thanks in advance
Could you explain further in detail about " construct a matrix with N by M row and 10 column (if 10 channels). Use 90 % of the row for training and test with the rest for instance with a 10-fold cross validation for instance" from your answer.
Thanks in advance.Following
- Emmanuel Bratsolis added an answer:2Is there any study on the terrestrial stratopause level that compares satellite remote IR data with direct in situ recordings?
Do remote satellite recordings show discrepancies between in situ samplings for the same atmospheric level and especially the stratopause on the Earth within a narrow timeframe? Such direct sampling may occur by balloon missions or probe decent.
The temperature structure of the winter atmosphere at South Pole
Weilin Pan and Chester S. Gardner GEOPHYSICAL RESEARCH LETTERS, VOL. 29, NO. 16, 10.1029/2002GL015288, 2002
The Remote Sensing of
John P. Burrows
- Gerald J. Rys added an answer:5Are you aware of the use of hyperspectral methods from aircraft to assess water quality?
I'm interested in any research that might be using hyperspectral techniques from aircraft to routinely measure water quality eg nitrate levels, in lakes, rivers and waterways.
regards Gerald Rys
Agata thanks for your useful papers cheers GeraldFollowing
- Shukla Acharjee added an answer:7What are the current challenges & innovations in Geothermal Resource Exploration?
Geothermal Energy has long been regarded as Green Energy's silver bullet. And rightly so because of its potential as a stable, secure, environmentally friendly and a cheap Energy resource. But there are some obstacles.
Firstly, Not everyone lives on top of a Volcano! Unlike wind and solar installations which can be built more or less anywhere, Geothermal Power Plants can only be built on geological hotspots that exists less than 10 % of our planet. Secondly, even in hot spots like Iceland, Engineers must deal with the most daunting technical challenge facing geothermal. Drilling! That's because all successful Geothermal ventures require three vital elements. Hot Rock, Water and close proximity to the resource. Thirdly, money and potential exploration risks are additional issues to be dealt with.
Remote Sensing techniques have been aiding in identification of Geothermal Hot spots with thermal anomaly, geological and mineral mapping studies. Geophysical techniques such as resistivity, gravity, seismic and geodetic measurements are valuable in the exploration phase. Next, Geochemical sampling and analysis takes over. RS & GIS are also applicable in Environment Impact Assessments after a Geothermal Power Plant is set up. Recent developments have seen the arrival of Unmanned Aircraft Vehicles (UAVs) for geothermal exploration.
What are the challenges faced by the Geothermal Explorers in different locations such as Indonesia, Kenya, US, Philippines, Japan, Iceland, NZ, Aus., EU and elsewhere. Are there any potential hazards due to their proximity to Volcanic systems.
Requesting all subject-matter experts to enlighten with their relevant answers.
Mr. Varghese, the image was given to the contestant free of cost as a part of 8band challenge. till date i havent got any work on geothermal in this arunachal himalayan belt though it has potential areas. one more area is the mikir hills.Following
- Rajesh Dhumal added an answer:7How can I start learning hyperspectral remote sensing for agricultural applications?
I would like to use hyperspectral imaging data for monitoring against Drought, Disease, and nutrient stress of crops. I found that it can be studied using EnVI software. I am looking for a beginner's document or relevant papers.
Lots of open aceess literarture is availableFollowing
- Pat S. Chavez, Jr. added an answer:10What 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.
My expertise is in remote sensing and use of imaging systems that have included optical, microwave (radar), and acoustic imager of the Earth surface (including the surface of the bottom of the ocean --- shallow and deep waters). Multispectral (4 to 12spectral bands with mostly visible and near-infrared wavelengths) started to be used in the late 60s and into the 70s; hyperspectral airborne (not on satellites) started to be developed in the early 80s and more or less operational in the late 80s to early 90s (main one developed by JPL --- a NASA center), with some experimental ones on satelllites in the 90s and 2000s. These are more or less optical systems that have spectral bands in wavelengths from the lower part of the blue to the near-infrared and onto the short-wave infrared (1.5 to 2.4 range); some of the systems also carried a thermal imaging capability
Besides optical there are also radar and acoustic sonar imaging and profiling capabilities (multi and dual frequencies) to look at characteristics on the earth surface.
I've had an interest in how some of these type of imaging may be applicable in the medical imaging field. Not know the state of the art in the medical community I look forward to learning about comparable capabilities.
About Hyperspectral Remote Sensing
All remote sensing topics related to hyperspectral data.