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Landsat - Science topic
Explore the latest questions and answers in Landsat, and find Landsat experts.
Questions related to Landsat
I am working on a project that involves using Landsat remote sensing images for detailed urban planning at the house scale. The current spatial resolution of the Landsat images is too low for this purpose, and I need to increase it to 5 meters. I've explored various super-resolution techniques but haven't found a method that works effectively for my needs.
How can I properly identify hot and cold pixels manually or automatically to calculate the SEBAL model from Landsat images using GRASS GIS, R, or MATLAB?
A question to see who can answer it. If the red and infrared bands of the satellites are these:
--------------------------------------------------------------------------------------------
Satellite.................................Landsat 8 / 9.................................Sentinel 2...................................
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....Red..............................Band 4: 0.64-0.67 μm.....................Band 4: 0.53-0.68 μm
Infrared............................Band 5: 0.85-0.89 μm....................Band 6: 0.70-0.80 μm
...................................................................................................Band 7: 0.81-0.92 μm
...................................................................................................Band 8: 1.20-1.30 μm
--------------------------------------------------------------------------------------------
Why do you use band 5 in Landsat and band 8 in Sentinel to estimate NDVI? Wouldn't it be more appropriate to use band 7 in Sentinel?
Thanks.D
How Satellite Bands (Landsat/Sentinal) and indices (NDVI/NDBI) were composite together (Layer stacked) (In a single layer) before performing supervised classification (MLC/SVM/RF etc)? How it reduces the heterogeneity in data?
![](profile/Vishva-Singh-2/post/How_spectral_bands_and_indices_like_NDVI_NDBI_together_used_as_input_before_supervised_classification_In_ArcGIS_pro_or_any_other_software/attachment/6663db326e715e5992256394/AS%3A11431281250151741%401717786654889/image/WhatsApp+Image+2024-06-08+at+12.27.07+AM.jpeg)
There are different types of automated, built-up area extraction methods used in remote sensing. However, I am puzzled to find suitable indexes for use for all sensors such as a 'X index' can be universally employed to Landsat TM,ETM+, OLI or Sentinel (may be). I'm looking forward to know mostly used built-up extraction index with higher accuracy.
I have used the formula
LST = (BT / (1 + (0.00115 * BT / 1.4388) * Ln(ε))) for finding the JJA (June, July, and August) LST for California.
Where for BT (at satellite brightness temperature) I have used the 'ST_B10' band directly without re-scaling it since there are no brightness temperature bands in LandSat8 level 2 collection 2 Tier 1 data products and for calculating the emissivity (ε) I've used the re-scaled i.e. (ST_B10 = ("ST_B10" * 0.00341802) + 149.0) and cloud corrected ST_B10 band.
When I use the formula (("ST_B10" * 0.00341802) + 149.0) following the LandSat8 handbook for LST, it shows a high value ranging from 10 to 70-degree degrees Celsius for California. I don't know what is wrong here and how to correct it. I am new to this field.
Thanks in advance for any help you provide.
References: Weng et al., 2004-Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies.
I'm doing my first research and I can't find a way to see the shoreline evolution.
I used Google Earth Engine to retrieve LST for my research area based on Landsat 7 (for 2001.) and Landsat 8 (for 2019.) by using surface refectance dataset (atmospherically corrected). I'm trying to see how LST changed with newly built-up surfaces.
So, based on slightly different bands wavelengths between satellites, does it also mean LST is varying? For example, if I compare LST from 2001. and 2019. on the same urban surface is the measured LST going to be different? I'm also asking based on this: thermal Band 6 on Landsat 7 is 10.40 - 12.50μm and Band 10 (TIRS1) on Landsat 8 is 10.60 - 11.19 μm.
I am aware of influence of weather during researched time on LST, but aside of that I would like to know if I can compare these two LST's.
Thanks!
After harmonizing and making all the radiometric corrections, I still get that Landsat 8 shows a wrong increase in vegetation intensity. Anybody with a similar problem that may have found a solution?
Dear Colleague,
I hope this message finds you well.
I am excited to announce the Call for Chapters for our upcoming book project titled "Applying Remote Sensing and GIS for Spatial Analysis and Decision-Making," scheduled to be published by IGI Global.
We are seeking contributions from researchers and practitioners who are passionate about exploring the application of remote sensing and GIS technologies in spatial analysis and decision-making processes. Your expertise and insights would greatly enrich the content of our book, and we cordially invite you to submit a proposal for a chapter.
Submission Deadline: May 19, 2024
For more details about the submission process and guidelines, please visit the following link: [https://www.igi-global.com/publish/call-for-papers/call-details/7509]
Should you have any inquiries or require further information, please do not hesitate to contact me . I am more than happy to assist you throughout the submission process.
Thank you for considering this opportunity to contribute to our publication. We look forward to receiving your proposals and collaborating with you on this exciting project.
Best regards,
Adil Moumane
University of Ibn Tofail. Kenitra, Morocco
usgs has not given any scaling factor values to be applied for level 1 products. but it also doesn't make sense for satellite zenith angle to have values from 1-2768.
1. I'm seeking soil property raster datasets with resolutions matching those of Sentinel or Landsat imagery, as SoilGrids data are currently available only at a 250m resolution. Therefore, I'm interested in finding options with finer resolutions of 10/30m. What are the best available alternatives with finer resolutions?
2. Is there a dataset specific to the Indian context that provides more accurate and locally optimized soil data?
I'm seeking advice on how to effectively mosaic four Landsat tiles for analysis. Three of these tiles are from Landsat 5, with pixel depth at 16-bit unsigned, while the remaining one is from Landsat 7, with 8-bit unsigned pixel depth. Is it appropriate to directly mosaic these tiles, considering the potential discrepancy in pixel values? Should I convert the Landsat 7 tile from 8-bit to 16-bit before mosaic? If conversion is necessary, how can I accomplish it using raster calculator tools?
Thank you.
Kind regards,
Sohel
Hello, community, I have a question about remote sensing lineament extraction. What is the best satellite imagery for this purpose, Landsat or SRTM DEM, and why?
Thank you
I want to download the Level 0 product which should only contain the DN values, with no-processing. From where can I download the files. Please guide. Thanks
Which is preferable:
publishing an article in a close-access journal like Elsevier (or Springer), or publishing in an open-access journal with a low impact factor?
I am conducting a study on the "Impact of Land Use and Land Cover (LULC) Changes on Land Surface Temperature (LST)" and plan to use Google Earth Engine (GEE) for my analysis. I am at a crossroads in deciding between the "USGS Landsat 8 Level 2, Collection 2, Tier 1" dataset and the "USGS Landsat 8 Collection 2 Tier 1 TOA Reflectance" dataset for LULC classification.
Could the community provide insights on:
- Which dataset would be more suitable for LULC classification, especially in the context of analyzing its impact on LST?
- What specific pre-processing steps would be recommended for the preferred dataset within the GEE environment to ensure data integrity and robustness of the classification?
Any shared experiences, particularly those related to the use of these datasets in GEE for LULC and LST studies, would be incredibly valuable.
Thank you for your contributions!
I am doing Land Use Land Cover Classification in GEE using Landsat 8 Level 2, Collection 2, Tier 1 dataset. While collecting training points in the composite image, The challenge I am encountering is that urban and barren land areas appear similarly in the color composites I've tried, which were based on combinations of bands 5, 4, 3 and 7, 6, 4.
how to fill in blur and gaps in Landsat 7 images. What can I do if the Landsat images are blurred in my work to calculate the area of lakes?
the second question is whether it is better to use level-1 Landsat 7 image or level-2 when calculating the surface of lakes?
Hello
I want to estimate LST by Landsat 8 collection 2 level 2.
What is its steps and formula.
with regards
* I am using ENVI 5.6.
* I do not want to use any other AC processor or L2 products.
I have already read several similar Q/A posts on several forums, but that did not help.
If you successfully were able to apply FLAASH on Sentinel 2 L1C images using ENVI, please share your workflow on this post.
This is my workflow, but I keep receiving this error:
1. Adding the data using the "MTD_MSIL1C.xml' file
2. Staking 10m, 20m, and 60m layers using "Build Layer Stack."
3. Converting BSQ encoding to BIL using "Convert Interleave."
4. Adjusting the necessary parameters on the FLAASH module
![](profile/Ali-Reza-Shahvaran/post/How_can_I_apply_FLAASH_atmospheric_correction_to_Sentinel_2_L1C_images_in_ENVI_56/attachment/62b4d0fa46b9967ea402aac6/AS%3A1170234882957312%401656017146362/image/Screenshot+%2868%29.png)
Hi,
I worked on my master's thesis several years ago, which was related to the LST of a basin with two methods: Single Window and Sebal using Landsat images, during the study period of 1984 to 2017.
Now I want to change this thesis into an article. Is it necessary for me to update the years until 2023 or not?
Why did the Normalized Difference Built-Up Index (NDBI) values for a tropical urban area decrease from -0.03 in 1988 to -0.16 in 2020 when using Landsat 5 and Landsat 8 data? Given the expected urban growth, why do the NDBI values also differ (-0.82 to 0.62 in 1988 and -0.45 to 0.35 in 2020)? What factors could explain these changes, and how should we consider these differences when comparing data from different satellites and time periods?
Greetings: How can I performe the Tasseled Cap Transformation in IDRISI Selva for Landsat 8 Images? because the only options available for that are :MSS, TM & ETM+, and its showing the attached error when I select ETM+
I am going to calculate NDVI for one hectare study sites which are located in mountain areas. Therefore I have a doubt of the necessity of topographic correction before calculating NDVI. I am using Landsat 8 OLI level 2 products.
Please I am having difficulty opening Landsat images in ENVI 5.1 using File>open as>Landsat> Geotiff with Metadata. It keeps flagging the following error message "Unable to read file as the specified filetype: LANDSAT_GEOTIFF_META"
Has anyone encountered this issue and how was it resolved?
I downloaded the Landsat 8 Level 2 Collection 2 Tier 1 Surface Temperature image of February 25, 2019, multiplied it by 0.00341802 plus 149 to get the Kelvin temperature of the study area, and then processed it to degrees Celsius. The value range unit is -32.88℃~31.07℃. However, the actual measured value in the study area that day was -19.66℃~-1.11℃.
Has anyone encountered similar problems? How to handle this abnormal situation.
Dear all, I work for a big irrigation district. It seems that some farmers are illegally using irrigation water from the main canals at night which is prohibited. The crop areas are around 5-20 ha and are located in the Valle del Cauca region (Southwest part of Colombia). I'd like to know if there is a way of using RADAR (Sentinel-1) or multispectral data (Sentinel-2) through Google Earth Engine to determine if some fields have been recently irrigated. Thanks in advance for any reference or tutorial you might share.
In the metadata file of satellite images, image acquisition time is there. In which time zone format they are giving the data?
Hello Everyone,
The scaling factors used for Collection 2 and Level 2 Landsat data includes a multiplicative (0.0000275) and an additive (-0.2) term. When these factors are used to convert to non-scaled surface reflectance values for each band, and these data are used in various processing procedures (like the ratio used to compute the NDVI), it has both noise problems (pixels with water or clouds) and the data are smoothed so it appears that the spatial resolution is lowered.
I don't understand why this problem has been around so long and not fixed at this stage. Not sure what the benefit is to spread the range of digital numbers way beyond the original range to create an artificially enhanced dynamic range of numbers. The 'empty spaces' from valid number to valid number is then filled in with a smoothing type of procedure (perhaps the resampling using cubic or bi-linear methods), so when zoomed up the image looks smooth and appears to have lost resolution compared to the original image (get level 1 and level 2 data and compare them). This combined with the 'noise' problem introduced by the 'scaling factor corrections' for pixels with water or clouds is one reason why many users are downloading level 1 data and doing their own corrections instead.
Generating the NDVI with the not scaled corrected data (the data you download) DOES NOT give valid NDVI values. They are in the range of -1 to +1, however, they are not correct; the values will be quite a bit smaller than they should be. If only a multiplicative scaling was used (e.g., 0.0000275) and not an additive also (e.g., -0.2) then the scaling would not matter because they would cancel out in the ratio process; this does not happen when an additive term is included.
I think it is time to re-think the scaling of the data and use a method that does not create problems that were not there to begin with !
Pat Chavez
Northern Arizona University (retired USGS)
Could you please provide me with 2 or 3 Elsevier or Springer articles that utilize this formula:
LST = BT / (1 + w * (BT / p) * ln(e))?
Dear fellow researchers!
I need global data on normalised difference moisture index (NDMI) in raster formats. Is it possible to get it? The AOI is considerably large and going for calculation from Landsat, ASTER or Sentinel is not a viable option.
Please help?
can I use this formula ? LST=BT/1+w*(BT/p)*In(e)
in which way we can obtain BT? and e for this kind of data?
I used this formula for calculating surface temperature in kelvin by "0.00341802 * DN + 149.0"
My article focuses on the changes in Land surface temperature, vegetation, and waterbodies over a long time in an area by using Landsat and Modis data with a new methodology.
How do i calculate Land Surface Temperature Landsat 8 level 2 image?
Do I have to convert DN (TOA) to radiance, then convert radiance to brightness temperature, then emissivity, and finally the LST calculation?
OR is it enough to rescale the thermal bands and convert kelvin to celsius degrees (since level 2 is already corrected)?
LST = BT / 1 + w (BT / p) * Ln (ε) (formula 1)
What is the name of this method?
Additionally, we use the following formula for Landsat 8:
LST = (BT / (1 + (0.00115 * BT / 1.4388) * Ln(ε))) (formula 2)
What are the differences between Formula 1 and Formula 2? If we use separately Formula 1 and Formula 2 to calculate the LST of one Landsat 8 image, will the results be the same?
- Additionally, what factors should be considered when selecting an appropriate image processing algorithm for lineament extraction?
How to identify our corrected image for Landsat 8 after all the corrections including atmospheric and radiometric is good to use before deriving the depth using the stumpf algorithm in the satellites derived bathymetry work?
For a research, I have to calculate different indices like NDVI, NDWI, etc. by using Landsat data.
However, I am confused about the preprocessing. Because, the Landsat collection 1 data are no longer now. That's why I have to use Landsat Collection 2 Level 1 or Collection 2 Level 2 datasets for analysis.
Now, I have to know whether the Landsat Landsat Collection 2 Level 1 or Collection 2 Level 2 datasets need any further preprocessing/corrections or not?
I have 23500 points, I sorted them in Excel from lowest to biggest, and then in a scatter plot, I create its chart, now I want to find the data that after that data (point) my chart starts to a high slope near 90 degrees, or in another word my chart begins growing up faster.
![](profile/Javid-Hojabri/post/How_can_I_find_The_point_in_my_chart_which_after_that_point_the_chart_begins_to_grow_with_a_high_slope/attachment/6481d68128b5df6cef17b9b4/AS%3A11431281166285206%401686228134449/image/plot2+.jpg)
![](profile/Javid-Hojabri/post/How_can_I_find_The_point_in_my_chart_which_after_that_point_the_chart_begins_to_grow_with_a_high_slope/attachment/6481d681806fe2503dfac65b/AS%3A11431281166259335%401686228134576/image/plot+.jpg)
Hi, in the Brightness temperature calculation, I saw two values for converting to Celsius.
Which one is correct? why in some articles use 272.15 and other articles use 273.15??
BT = K2 / ln (K1/ Lλ +1) -272.15
or
BT = K2 / ln (K1/ Lλ +1) -273.15
Hi,
I have experience working with Landsat, Modis and Sentinel-2 data; Right now I need to use Sentinel-3 data also to fuse with Sentinel-2 data, however, I am finding converting the Sentinel-3 data which is in NCDF4 format to Geotiff format correctly very difficult. I have come across snappy API which can be used from python but found the documentation and examples a tad inadequate when it comes to Sentinel-3 data. Since the lat-long information is provided in a separate file, my main problem is how to overlay geo-coordinates and radiance values from S6 and write it in a tiff file with the correct projection and resolution. Any help would be highly appreciated.
I need to analyze LULC pattern of Kathmandu city before 2000. The Landsat Image of Kathmandu before 2000 is not available in USGS web site.
Could you tell me where can I find it ?
How can I load the level 2 Landsat 8 image in the Envi Software?
Hi,
I am trying to understand the limitations of the Simplified Surface Energy Balance (SSEB) approach and Landsat Collection 2 (C2) Provisional ETa Science Products to estimate actual evapotranspiration of different crops in various locations.
These would be used by an agribusiness to monitoring water consumption and water availability for crops (wheat, rice and corn) grown in 14 different countries
I am struggling to understand if and how these can be applied to different crop / locations couples as Landsat Collection 2 (C2) Provisional ETa Science Products are yet to be validated.
Thanks for your help,
Best regards.
Access to very high resolution satellite data is costly. Since researchers most of the times don´t have another alternative other than relying on freely available datasets, 30m, 10m resolution datasets (Landsat/Sentinel) have been used in many studies.
How high resolution datasets ( landsat 30m and sentinel 10m) perform in sparse built-up areas using pixel based classification?
What is considered an acceptable classification? Could you provide examples (images)?
How about developing countries?
Are there available reference maps for subsaharan african countries?
I don´t trust conventional accuracy assessment!!!! unless it is followed by details of the image!!!
How do I use the scaling factor when deriving the LST with Landsat collection 2 product?
At what step do I apply the scaling factor?
How to create satellite-derived bathymetry using Landsat 8 images through ENVI or ArcGIS Pro software? are any recommendation steps/video tutorials? appreciate it if you can attach any related file or link about it
I have Landsat 8 Collection 2 Level 2 which is in Surface Reflectance and Surface Temperature (Thermal Band). After rescaling with one of the two methods highlighted below, Can I say the Surface Temperature from the Thermal Band is the same as Land Surface Temperature (LST) OR I will have to calculate LST separately?
Surface Reflectance for OLI Bands= SR * 0.0000275 - 0.2
Surface Temperature for TIRS Band 10 = SR * 0.00341802 + 149
OR
((SetNull(("SR_B4"<1) | ("SR_B4">65455),"SR_B4"))*(0.0000275))-(0.2)
((SetNull(("SR_B10"<1) | ("SR_B10">65455),"SR_B10"))*(0.00341802))+(149)
Could anyone help how to do heat vulnerability mapping?
Steps in ArcGIS
and data required
when I try to import LANDSAT 9 images with Idrisi Selva the program sent the message: compressed grey scale image not supported...
How to calculate METRIC model from landsat 8 in python?
Hello, I am trying to process images to estimate LST in 2021 for a multitemporal analysis, however, the excess clouds do not allow me to use Landsat 8 images, fortunately Landsat 9 images are available, however the LST values when processing the information are high when working in ArcGis, however, when processing in QGis I get lower LST data for the same image, it would help me to know if any of you are already processing Landsat 9 images in multitemporal analysis and if you have observed this phenomenon.
Best regards
I did a small experiment to extract the landsat reflectance data of the same object in different periods (including landsat 5 TM and landsat 8 OLI/TIRS). The true color RGB observation shows that the ground object has not changed, but the reflectivity data does not maintain a certain value over time. The data I use is T1_ L2 data in GEE, I want to know which step I need to operate less to generate this situation?
Hello researchers, I am having trouble displaying Landsat Collection 2 Level 1 images of my study area (LC08_L1TP_181063_20200114_20200823_02_T1) in ENVI 4.4.
How do I view them?
Please help me.
I have two incidents (pre and post incidents) for which NDVIs will be calculated and used to detect any change by subtracting. Now before calculating NDVI, I want to normalize radiometrically the post images with respect to the pre images using regression which uses pseudo-invariant target (PIF). I am looking to do this whole process in Google Earth Engine.
My questions are:
- Can anybody please kindly share the script?
- During selecting the PIFs, should I select them from the reference/base images or the target image?
I am not able to delineate salinity using NDSI indices.
I'm looking to extract shorelines from satellite images. To find a suitable method I need to compare various methods of automatic shoreline extraction methodologies. If you have any suggestions please leave in reply...
LSE = 0.004Pv + 0.986
It's widely used for TM and ETM but I want some references to use this equation for Landsat 8.
I want to determine different types of urban Typology like Primary urban core, Secondary urban core, urban fringe, Scatter urban from landsat image GIS and remote sensing techniques
It shows "[Deprecated]" for both Landsat 7 & 8 surface reflectance Tier 1 bands...
![](profile/Karthi-J/post/Can_I_use_USGS_L8_Surface_Reflectance_Tier_1_deprecated_in_GEE_Ive_seen_2020s_NASAs_ARSET_vid_they_used_same_but_now_it_shows_Deprecated/attachment/62fcbc43c223cb5aef96b3ac/AS%3A11431281079488820%401660730435530/image/Screenshot+%281%29.png)
Actually, a full frame should be stacked in one Tif file after downloading, but I receive it more than 50 files.
Can I use the Level 1 landsat imagery to generate an accurate land surface temperature for my AOI.
Hi. I have three questions about Landsat 8 and LST.
Q1.
I want to use Landsat 8 TIRS data to calculate Land Surface Temperature (LST) of the arctic regions.
So far, I have pre-processed BT and TOA from Level 1 DN, converted to LSE, and added NDVI to obtain the LST value.
However, I have some anxiety that this method is inaccurate than using Level 2.
Nevertheless, the reason why I could not use Level 2 ST (Band 10) product is because of the data gap due to missing of ASTER GED data (figure).
As you can see from the link below, the high latitude regions such as Greenland and Iceland have data gap issue in ST products.
I wonder if there are some methods or alternative to overcome the data gap.
Q2.
I know that Sobrino 2004's method is frequently cited in LST calculations, and I know that there was a stray light problem with Landsat 8 TIRS.
However, recently I got to know that there are so many algorithms for converting TIRS images to LST (e.g., Split-Window or Single Channel)
Also, I found out that the stray light issue has already been calibrated in 2019.
Now, I wonder which algorithm is most appropriate for converting Landsat 8 TIRS images to LST.
Q3.
Is there no need to preprocess Level 2 SR products for NDVI or other band combinations?
![](profile/Jaeyong-Lee-5/post/How_can_I_convert_LST_from_the_Landsat_8_Level_2_product/attachment/62b4bf53c98bc742eb211336/AS%3A1170215291363328%401656012475044/image/L8_L2_nocell.jpeg)
I am working on a trend analysis of at-satellite temperatures (brightness temperature) using Landsat 5, 7 and 8 thermal bands. For the visual and infrared bands I used the sensor harmonization function proposed by Roy et al.
However, for the thermal bands no transformation coefficients were calculated. Is there the necessity to transform the thermal bands?
Hello everyone,
I am doing LULC of the arid region, I have acquired landsate 8 image data from USGS website and I have done preprocess in qgis using semi-automatic classification plugin using the standard tutorial and I have converted by DN into reflections value for LULC. however, I facing difficulties in assigning classes for built-up area and bare soil as they have high overlap spectral values.
besides this, I have also used SAVI as well as Modified bare soil index though it's not helping in my problem.
Anyone can tell me what to do in that case.
Thank you.
I am working on my master thesis and want to quantify the NDWI using Landsat images.
After estimating the water surface area for my area of interest, the areas obtained from Landsat 7 overestimated the actual area due to the inclusion of gaps in my calculation. Now, I need to fill the gaps.
I am using Landsat 7 collection 2 level 2. However, in Landsat 7 collection 1 level 2, the filling can be made by using gap mask folder when downloading the data which is not the case in collection 2.
Thank you in advance,
Awad M. Ali
hope to get reply asap so it would help for my project.
I have two raster dataset of NDVI and LST, both calculated from Landsat data. I have extracted the NDVI and LST values for each pixel. Now I want to calculate the soil moisture index using the LST values. For that I have plotted the LST vs NDVI scatter plot. But I am unable to put two different regression lines to the dry edge and the wet edge of the scatter diagram. How to draw the graph?
Hi Remote sensing Experts,
I was looking for codes to generate time series NPP and GPP from Landsat images using Google Earth Engine. I am aware of the MODIS product. But I don't know about Landsat. Any suggestions would be highly appreciated.
Here[0] I described an issue with the scaling factor for Landsat 8 Level 2 products. I've used the scaling factor from here[1] but when I compute the NDVI the result has many pixels out of the validity range.
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I am looking for night images of Las Vegas in summer (june to august), taken by Landsat 8. The goal is a LST analysis.
However, there does not seem to be a single image available for the ascending direction path 137 / row 209 in Earthexplorer. It shows always that there was no image found.
Am I making a mistake here in the search?
A similar question from 2017 (https://www.researchgate.net/post/How_can_I_download_nighttime_landsat_8_images) mentioned to contact customer support for night time images. Is this still up to date and how can I reach them?
There are several ways to contact them, but I do not know who exactly to contact regarding this matter.
Thank you in advance!
Hi everyone, i am facing problem during calculating land surface temperature by landsat 8 image. In my aoi the LST comes high 72 and low 55. In actual temperature never gone high above 50 in my aoi. Anyone can tell me whats problem. In 2000 2005 2010 and 2015 temperature results are accurate. Only problem in 2021 Lst.
![](profile/Shoukat-Ali-Shah/post/Why_LST_results_comes_higher_in_my_AOI/attachment/61f25b07d248c650edc32c1f/AS%3A1116781922000896%401643272967014/image/FB_IMG_1643271805009.jpg)
Isn’t MSS Landsat not reliable? For example, to calculate NDVI.
In which SCORPAN factor do the Landsat bands fit into? Without any ratios/indices, just the "pure" bands.
I want to map the structural lineaments (faults and folds) on DEM or Landsat image. I will be thank full for your guidance.
Dears members, I am working on shoreline delineation using landsat 8 OLI,
Could you please provide me a link to download the tasseled cap with landsat for arcgis .tbx extension for arcgis 10.5.
Secondly how to extract the shoreline boundary from landsat 8 images using arcgis 10.5
Thanks in advance
The top sites for Landsat satellite imagery in terms of content and ease of use.
please I need scientific reference for my answer.
I'm using Landsat 8 LT1 for fusion of MS and PAN bands of satellite images .
Greetings scholars,
I am sharing a web based application that might be handy to dedicated researchers.
Using this application users can download:-
· Time series data and metadata of the satellite imagery selected and algorithm specified (Users can specify the length of the period, location, scale factor, clouds cover)
· Time slider to visualize the changes
· Time series charts
Currently this application supports four algorithms: NDVI, 2BDA, 3BDA, Turbidity Index based on 3 satellite imagery (Landsat, MODIS and Sentinel). This application has been super useful to my current research (time efficient) and I strongly believe it would be supportive to the researchers willing to conduct similar research. I will try my best to include other algorithms based on users’ recommendation and suggestion.
I have attached a quick video demonstrating method to use this application. Suggestion will be highly appreciated.
Thank you. Happy researching!
website link: mapcoordinates.info
video link: https://lnkd.in/e-HkkYnr
Hi,
Can any of you please share me Landsat tool box for ArcGIS 10.1 to fix scan line errors in landsat images?
Thanks.
I am working on Forest Canopy Density. There is a parameter called "Scaled Shadow Index(SSI)" while computing Forest canopy density. In most of the papers I found that, SSI has been calculated by "Linearly Transforming" Shadow Index. I have computed the Shadow Index. But i am not getting the idea to compute Scaled Shadow Index. Kindly help me out. Moreover, If I am using Landsat 5 and 8 Surface Reflectance Image for FCD Mapping and as the Reflectance value ranges from 0 to 1, is it still mandatory to normalize these Surface Reflectance data before calculating Vegetation Indices?
I want to compare percent vegetation cover on a reclaimed site vs. percent vegetation cover in a reference area (i.e., an adjacent, not disturbed area). Can I do this with Sentinel or Landsat imagery? If so, would it be best to just create a ratio between something like NDVI in the reclaimed area vs. that in the reference?
I am trying to get seasonal changed land use and land classification for 1 km area study area. Most of the years in the wintertime period (November to January) have no image by Landsat 5 and Landsat 8. It will be nice if anyone can give me any hints
How often the LIDAR satellites can revisit the same area: for example every day or 3 months? for example the landsat repeat the cycle every 16 days.
For a multi-temporal study (my master thesis) that uses satellite images to obtain indices, for example, is it right or wrong to use level 2 images? (to save time and avoid mistakes) Would it be better if I process the level 1 images? (Landsat)
Thank you
Dear colleagues I'm trying to calculate the land surface temperature for the Bakun Catchment, Sarawak, Malaysia region using different landsat satellite images of different years with the help of Google Earth Engine Code Editor. I'm not sure why I'm getting incomplete results for just this region and even the pixel values are too high in some of the years (please check the attached screenshots). Yes, for the NDVI and NDWI the results are covering the whole region.
I tried the same code for other regions of Pakistan and the results are very well.
So, my question is can anyone help me to get to know that this region the Bakun Catchment, Sarawak, Malaysia comes under special consideration or are there any other satellite data issues or maybe something wrong with the code? Also, does this region's LST goes down to -3 to -10?
Dear researchers,
For our new project, we are considering the use of Thermal Infrared satellite imagery. While the temporal resoltion is not important for us, we are looking for the highest spatial resolution in terms of Thermal infrared sensor. Aprat the available satellite data of MOODIS, Landsat and Sentinel is there any commercial satellite that provide very high saptial resolution of Thermal Infrared images?
Any information would be grateful in this regard.
Many thanks,
Wajdi
I need specifically The method step by step to determine the:
1- Shoreline
2-Baseline
I have an image Landsat MSS dated in 1975 with 4 bands
Any tutorial, guideline,
Thank you for your help in advance
I want to detect what cooling effect (intensity and distance) a group of small green areas can have, for example in one part of the town. And also for the the whole town, preferably from satellite images.
I am planing to make a comparison of forest cover between 1984 and 2021. I will use Landsat 5 and Landsat 8 images.
Could some recommend any pre process corrections or calibrations for both satellites ?
If I do radiometric calibration and dark objects subtraction for Landsat 8, Should I do the same for Landsat 5?
Or do landsat 5 accept radiometric calibration and dark objects subtraction? Or just a Quick Atmospheric correction can fulfill it ?
Please help.
I want to do a long-term (1990-2018) study which Enhanced vegetation index (EVI) is needed. However, the temporal coverage of MODIS can't meet the demand of this study. Therefore, I want to use both Landsat 5 and Landsat 8 in one study. I don't know if it will influence the accuracy of the study or not be permmited.
- What is the difference between Landsat Collection 1, Collection 2 Level 1and Collection 2 Level 2?
- What are the specifications included in each type?
- Do these types include atmospheric correction?
- What is the most appropriate collection for Land Use landcover and ecological related analysis?
Which Level (L1 or L2) of LANDSAT 8 OLI images is best for estimating soil salinity?
Which bands of Landsat 7 should I use (6A or 6B or both?) & similarly for Landsat 8 (10 or 11 or both?) for LST estimation?
Can anyone help me on how to carry out an analysis of Urban Form from Landsat imagery?