Hyperspectral Remote Sensing

Hyperspectral Remote Sensing

  • Sivagnanam. S added an answer:
    Can 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.

    Sivagnanam. S

    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 me

  • Lorene Lynn added an answer:
    What 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.

    Lorene Lynn

    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_horizons

  • Hafsat saleh Dutsenwai added an answer:
    How 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

    Hafsat saleh Dutsenwai

    Thanks James and khan your suggestions were quite helpful. 

  • A. Barberopoulou added an answer:
    Any 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 ?


    A. Barberopoulou

    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 ENVISAT

  • Marcos J. Montes added an answer:
    Does 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.

    Marcos J. Montes


    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:
    What is hyperspectral CASI imager and what is its specification ?

     Concerning hyperspectral remote sensing. What is hyperspectral CASI imager and what is its specification ?

    Manish kumar Patel

    Thanks a lot @Marcos J. Montes and @ Murali Krishna Gurram for your very helpful sharing of knowledge. 

  • Theresa Mannschatz added an answer:
    Has 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.



    Theresa Mannschatz

    Olá Emanuel, 

    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 Theresa

    • Source
      [Show abstract] [Hide abstract]
      ABSTRACT: With the increasing awareness of fertilizer effects on environmental and soil quality, soil tests are being conducted. In-field phosphate sensors have been a topic of heavy research since the early 1980s. It provides sustainable alternatives to more time consuming and costly laboratory analyses. Phosphate sensors can be used in agricultural and site-specific crop management to optimize application of fertilizers and minimize contamination of rainfall runoff. The main limitation in the development of phosphate sensors is selectivity. Another drawback in the development of phosphate sensors is lifetime. Further research is needed to address these problems and make in-field phosphate sensors more widely available.
      2013 Seventh International Conference on Sensing Technology (ICST); 12/2013
  • Kamaruzaman Jusoff added an answer:
    Mangrove 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?
    Kamaruzaman Jusoff

    Try reading some of my papers involving mangrove species identification & mapping in Malaysia using airborne hyperspectral imaging

  • Athiraja Atheeswaran added an answer:
    How 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.

    Athiraja Atheeswaran

    Dear friend'

       Please refer the following link

  • Julian Rosser added an answer:
    How 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.

    Julian Rosser

    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.

  • André Große-Stoltenberg added an answer:
    Does 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

    André Große-Stoltenberg

    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!

  • Guoming Gao added an answer:
    Can 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.  

    Guoming Gao


  • Christian Rogaß added an answer:
    Can 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 ?

    Christian Rogaß

    You can also use simulated EnMAP data that is available from www.enmap.org and originated from hyperspectral airborne campaigns.

    Cheers Chris

  • Dr. Asutosh Kar added an answer:
    Any 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,?


    Dr. Asutosh Kar


         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.

    + 1 more attachment

  • Mahboobeh Parsapoor added an answer:
    Any 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..

  • Behrouz Ebrahimi added an answer:
    Can 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.

    Behrouz Ebrahimi

    thank you so much for your answers

  • Fardin Mirzapour added an answer:
    Where can I find an HSI Database for research with more than 25 images?

    Dear Researchers,

    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.

    Best, Vivek

    Fardin Mirzapour

    Dear Vivek

    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:
    Does 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.

    Sid James Nelson


    The above answers should have useful information in helping select the bands of you remote sensing  spectral data. 

  • Piotr Kowalczuk added an answer:
    Anyone 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?

    Piotr Kowalczuk

    Hi Victor,

    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.

  • Lotfi Mustapha KAZI-TANI added an answer:
    Why 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.

    Lotfi Mustapha KAZI-TANI

    @Sachin Patil

    The redness index is calculated as follow:

    RI=〖(B3)〗^2/((B1)*〖(B2)〗^3 )

    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+

  • Francesco Bianconi added an answer:
    What 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. 


    Francesco Bianconi

    Hi Prem,

    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:
    How can I detect desertification by remote sensing?
    Which image product is best suited for this purpose and how can I download that product?
    Frank Veroustraete

    Hi Behrooz,

    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.



    • Source
      [Show abstract] [Hide abstract]
      ABSTRACT: It is only by using the first collection of intelligence satellite imagery acquired by CORONA, that time series of NDVI imagery can go back for a time period of nearly 50 years, based on diachronic mapping. This is an exceptionally long time period if not the longest, for which remote sensing imagery is available to estimate land use change for specific regions on the globe. The P.R. of China and the former USSR can be documented to nearly 50 years back in time, using CORONA satellite imagery. Typically – for many regions of the globe – is that a 50 year time span represents the principal time period in which many anthropogenic land use changes have taken place. In this paper, an account is given of the land use change which took place over the last 44 years in the Chinese province of Xinjiang, located in the North-west of the country. Declassified CORONA imagery was used, as well as LANDSAT MSS and ETM+ imagery. The Xinjiang province has one of the largest inland water basins on the globe, e.g. that of the Tarim river. Moreover, the province has grown into a major cotton and fruit producer in China. Based on diachronic mapping with CORONA and LANDSAT imagery, we can illustrate that over the last 44 years the Tarim river basin has undergone drastic land use changes, e.g., from nonfragmented landscapes of natural vegetation to fragmented mosaics of agrcicultural plots and desert. The region of interest in this study is the downstream area of the Tarim basin in the province of Xinjiang in the P.R. of China. A transfer function was established between canopy panchromatic reflectance (pc,pan) and canopy NDVI (NDVIc). This allows to reach the objective to increase the back casting time period of land use change observations based on satellite observations. To this end, a coupled PROSPECT-SAIL radiative transfer modelling approach was applied. Our approach elicited that the relationship between NDVI and ppan at leaf level, converges to a single relationship depending on leaf structure. The canopy level transfer function used to convert pc,pan into NDVIc was established using different chlorophyll contents, LAI values and a bright soil in the PROSPECT/SAIL radiative transfer models. A main result is that for a time lapse of 44 years, a drastic change in land use took place in the downstream reaches of the Tarim river basin. In many places natural vegetation has converted into high productivity irrigated agricultural plots. On the other hand natural vegetation also degraded into desert and semi-desert areas of very low to zero level productivity. A relatively small area (13%) of the Tarim downstream area has remained unchanged during the course of 44 years. Typically, the radiation regime and especially the hydrology of the the Xinjiang province has changed significantly over the last 44 years due to this drastic land use change. During this period the Tarim river retracted upstream, several hundreds of km, leaving behind desert land inapt for agricultural production and hence inapt to sustain human life.
      Sensors 11/2011; 1(4):194 - 210. DOI:10.5640/insc.0104194
  • Regan D added an answer:
    How 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

    Regan D

    Hi Guillaume,

    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.

  • Emmanuel Bratsolis added an answer:
    Is 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.

    Emmanuel Bratsolis

    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
    Tropospheric Composition
    from Space
    John P. Burrows
    Ulrich Platt
    Peter Borrell

  • Gerald J. Rys added an answer:
    Are 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

    Gerald J. Rys

    Agata thanks for your useful papers cheers Gerald

  • Shukla Acharjee added an answer:
    What 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.

    + 3 more attachments

    Shukla Acharjee

    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. 

  • Rajesh Dhumal added an answer:
    How 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.

    Rajesh Dhumal

    Lots of open aceess literarture is available 

  • Pat S. Chavez, Jr. 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.
    Pat S. Chavez, Jr.

    Hello Everyone,

    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.


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