- Prafull Singh added an answer:Who can tell me the application of thermal infrared remote sensing in groundwater discharge?
Just like the title, I want to know the application of thermal infrared remote sensing in groundwater discharge.
For Groundwater discharge zone mapping from thermal images are possible due to changes in pattern in temperature but resolution of satellite data can effect the results. you can select any good thermal data of Landsat and ASTER satellite.Following
- Sainath Aher added an answer:How we can perform the Landslides Zonation Mopping using Remote Sensing Data?
Is there any advance DEM for modelling of landslide ?
Thank you to Frank Veroustraete sir and Falah Fakhri Nicola Clerici for your valuable guideline.Following
- Abdullah Diabat added an answer:Gravimetry and remote sensing strucutral studies
can i combine betwen results remote sensing linement detection and obtained from euler deconvolution of gravimetric data
You can get benefit if you read some my publications on researchgate e.g. lineament characterization...... and karst development related......Following
- Miguel Armando López Beltrán added an answer:What are the best techniques for Image processing in agriculture?
What are best suitable techniques in image processing to identify the real time change in the region of farm and what are the best suitable techniques to identify the real time change in the leaf of a plant to identify the plant diseases?
MODIS offers products that can help for monitoring agricultural areas. Factors to be evaluated may be the leaf area index (MOD15), evapotranspiration (MOD16) and vegetation index (MOD13).Following
- Melanie Lück-Vogel added an answer:Is there a way to extinguish or reduce the underground coal mine fires with the help of remote sensing or geological mapping?
Underground coal mine fire is a major problem faced by many countries. Not only does it reduce the amount of fossil fuel but also adds on to the risk of land subsidence in the area. So, is there any measures that can be taken to reduce or extinguish the coal mine fires so that we can save coal for future uses?
if you google the following:
"Claudia Kuenzer landsat coal fires" you should get some answers.
- Jagalingam Pushparaj added an answer:Can we say the PAN image has low spectral resolution or no spectral resolution?
PAN image covers the range of visible spectrum in single image
Yes PAN covers visible band in single image and all features appear are similar mean we cant differentiate, but when NIR, IR bands provides feature are able to differentiate. By this can we say PAN has no spectral resolution (or) low Spectral resloution.Following
- R. A. Washington-Allen added an answer:How can I detect hot-spots of land degradation using GIS and remote sensing?
What type of data do I need to effectively do this, is there a way of predicting future cases of land degradation using the current situation and past trendFollowing
- Guoyu Ren added an answer:Does anyone know a website, a blog (or other) presenting a synthesis about weather conditions of the past months/season in Europe?I am working on snow cover and vegetation phenology in near real time from remote sensing methods. Some special patterns of these variables could be easily explained by temperature or precipitation parameters. But I can't find a synthesis comparing weather conditions of a month or of a season with past data at the European scale which would be very useful for me.
You can try to find some information at the websites of :
NCDC and CPC, USA;
Hadley Centre, UK
- TzeHuey TAM added an answer:Can Interferometric techniques apply in forestry area for determining potential landslide areas?
I would like to know whether interferometric technique is capable to detect landslide in forestry areas?
Thank you very much for the valuable informationFollowing
- Luca Brocca added an answer:How can observation errors be estimated?
Both in situ and remote sensing observations have instrument and representativeness errors. How can these errors can be estimated or observed?
A quite simple but effective method is "triple collocation". In the validation of soil moisture (and wind) from remote sensing it is widely used. I suggest you the following papers, among many others (one of the first studies and the latest):
1) Dorigo, W.A., Scipal, K., Parinussa, R.M., Liu, Y.Y., Wagner, W., de Jeu, R.A.M., Naeimi, V. (2010). Error characterisation of global active and passive microwave soil moisture datasets. Hydrology and Earth System Sciences 14, 2605-2616, doi:10.5194/hess-14-2605-2010.
2) Su, C.-H., D. Ryu, W. T. Crow, and A. W. Western (2014), Beyond triple collocation: Applications to soil moisture monitoring, J. Geophys. Res. Atmos., 119, 6419–6439, doi:10.1002/2013JD021043.
Good luck with your research!Following
- Nino Chikhradze added an answer:In which Journal was your article published and which year?Assessing forest gap dynamics using remotely sensed digital height models and GIS
Thanks a lot, Kiomar.Following
- Napoleon Eduardo Cornejo added an answer:Which software is more suitable to perform a orthorectification on TerraSAR-X ScanSAR MGD imagery? I'm using PCI and getting really bad results.This is the result I get - a distorted/asymetric scene with a lot of white "N/A" dots.
The funny thing is that for Radarsat-2 the results are clean and done, perfect.
Anyone know how to fix it, or an alternative software to perform an orthorectification?
I have been trying to work with ScanSAR SSC data from Terrasar in NEST, and it does not work. the bands are always kept separate and cannot be put together properly.Following
- Masimalai Palaniyandi added an answer:Which are the best methods for image classification for the LU/LC pattern?
I strongly supported the answer given by Hein Van Gils.Following
- Puppala Vijaya Kumar added an answer:What are drought effects on rangeland? How can determine this effects by remote sensing?
Which method and product ?
So many indices based on remote sensing are available for assessment of drought effect on crops and range lands.One has to relate different indices with productivity of different grass types to identify the better index for his/her region.Integration of remote sensing products with rainfall,soil moisture etc will also help in understanding the impacts on range lands.Following
- Mudassar Umar added an answer:What are the latest (best) methods in satellite remote sensing to obtain fuel moisture content in forests?
Introducing myself into a new subject, I started reading papers about how to obtain fuel moisture content in forests and feel quite overwhelmed by the different approaches. What are the best or latest methodologies in your opinion using satellite imagery?
Composition of NDVI and LST has been widely used in soil moisture estimation. In case of Forest and Dense vegetation SAR images are best to estimate soil moisture.Following
- M. Awad added an answer:How can I get data about brightness temperature (TB) using WindSat satellite?
I want use brightness temperature (TB) to calculate whitecap coverage.
See the following site http://www.remss.com/measurements/brightness-temperatureFollowing
- Jason Daniel Tilley added an answer:The export from RAW to TIFF (with LZW compression) - does it change the digital levels?I have some troubles with RAW and Erdas
Although I have never tried with RAW photos, I compress my .tiff files using bzip (.tar.bz2) with excellent results in compression (if all you're worried about is disk space).Following
- Frank Veroustraete added an answer:Remote sensing software - options?Next year I go back to teaching an introductory satellite image processing class and, unfortunately, we need to get some new software - ERDAS Imagine has become too expensive for our department. Any suggestions, links, reviews, etc? Thanks, First, thanks for all the answers. I checked around the freeware and have talked to the commercial mobs. Here's some of what I've learned so far. ENVI - far too expensive. PCI Geomatics (Decided to work with me, will probably get their software!). Most of the freeware listed is 2-4 years old - a long time between updates. And looks a bit clunky. Best bets so far for freeware seem to be either GRASS or SAGA (note, I only need the software for a single quarter remote sensing class, so powerhouse software isn't really needed). GRASS scares me, mostly because of experiences almost 20 years ago..... :) And I've had good luck with SAGA on one project.
Maybe using software from ESA might be a sensitive issue when teaching Remote Sensing at the Central Washington University. But ESA and NASA have a lot of joint ventures no? Spacelab and the like.
The following link guides you to ESA software developed for students in Remote Sensing:
Have a peek, maybe it suits your requirements. Updates are regular. There is also a free ArcExplorer version available,... made by ESRI by the way.
I use ENVI in my courses, expensive indeed, but there is FreeEnvi as well, which lacks some features but is interesting for educational purposes as well. In principle universities should get a significant reduction from ESRI as well for ENVI when using the stand alone compiled version ENVI. Check it out.
- Govindaraj .R added an answer:How to achieve higher accuracy of land use/cover classification using Google Earth Imagery?I am trying to classify a few google earth imageries of high resolution. The problem is that these images are only comprised of RGB band and NIR band is not available. While going for unsupervised classification I am not getting good results. Supervised classifications using 40 classes is not giving appealing results.
Interestingly few researchers from China have done the similar study to compare the capabilities of Google Earth Imageries (natural color combination) with QuickBird Satellite images (false color combination) and they got quite impressive results.
My study area is about 5 sq km, while their area was of 100+ sq km.
Does small area pose a problem in my case ?
You could go through this link its having answer which is related to your question.Following
- Luca Congedo added an answer:I would like to map carbon stock of Yoko reserve forest using remote sensing technologies, Any suggestions
I am doing some field work of inventories and I have some Landsat Images of the study area
I need some orientations from you
You could try a free and opensource program for supervised classifications: Semi-Automatic Classification Plugin for QGIS (see http://fromgistors.blogspot.com/p/semi-automatic-classification-plugin.html), which provides both Maximum Likelihood and Spectral Angle Mapping algorithms and automatic conversion of Landsat to reflectance values (a video tutorial in the following link).Following
- Ireneusz Baran added an answer:What is the vertical accuracy of beach profiles produced by airborne lidars these days?Need to know most recent accuracies of lidar beach profiles.
That depends on the LiDAR system and setup, GPS/IMU, flying height, calibration, control points etc. Based on my experience you can achieve 0.05m std (one sigma) if planed and processed carefully.Following
- M.Rizaludin Mahmud added an answer:Is it reliable to perform super resolution (spatial-temporal image fusion) on low spatial resolution satellite remote sensing images?
Because this is an ill-posed problem, especially when type change occurs on the ground, which means we need to produce some artificial spatial details about the surface features.
My answer is purposely to acquire more details about your intention.
1. Improving the resolution of low resolution satellite imagery is varies from field to field, and appropriate technique is depending on your purpose. May i know what is the purpose for your research?
2. On theoretical basis, there are hundred (perhaps more) technique which tested, develop and seems promising at experimental level. However, to be honest i dont think there is one specific fusion or sub pixel approach which suits all application.
I always address user particularly novice ones to identified the purpose of your research. Therefore, we can assists by suggesting appropriate solution. I prefer step by step and one step at once. Figuring out mistakes during your experiment and testing might lead to interesting knowledge.
E-mail me for further discussion. email@example.comFollowing
- Leonid Yurganov added an answer:Is it possible to monitor air quality by remote sensing satellite imagery?
We normally monitor air quality by measuring pollutant gases such as CO,COT,SO2,NH3 and H2S by special instruments. But this is very costly. Remote sensing will be more economical and effective if we could measure these gases using satellite imagery.
Edward, your question is too general. Try to specify.
- Mustak Ali asked a question:Please suggest me
some possible geological and mining topics which we can carry out or study with remote sensing and GIS. please mention the topics and research papers and links if possible .I want to know what are the possibilities as than I can enhance my knowledge.. GEOlogy relating to GIS AND RSFollowing
- Fadia W Alazawi added an answer:How can the use of remote sensing in the face of terrorism? Search for new ideas
Ideas required for the use of remote sensing in the face of terrorism as a project to complete a doctorate@James Varghese
thx alot sir u r really kindFollowing
- Tomáš Brunclík added an answer:Landsat 8 atmospheric correction SW?Does there exist a software already able to do atmospheric correction of Landsat 8 imagery to ground reflectance, preferably a free?
Thanks, I'll certainly look at it.Following
- Sona Sehat added an answer:Does anyone know how much an L-band UAVSAR penetrates into the soil?I am working with UAVSAR imagery and need to know how much it penetrates into the soil with 30% moisture. I looked through the NASA website and couldn't find anything relevant.
Thank you all for your responses.Following
- Haris Ahmad Khan added an answer:How to represent image with salient areas being highlighted?
It's rather related to representation of image. After detecting salient regions, how image can be visualized with salient areas being highlighted in different color.
This sounds very helpful. However, I am sending you my idea in private message. Please have a look at it and suggest your idea based on your experience.
- Allotey Albert added an answer:Can anyone help with landsat 8 composite bands?
In landsat 8 we have 11 bands. Which bands can be used to produce final composite bands map? Is it true to use the 11 bands except band 1 and 9?
Visit the USGS site and read about detailsFollowing
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