Questions related to Geomorphological Mapping
I'm currently working on groundwater mapping for a watershed located in Turkey. I need geomorphological map for the area that I am studying on and I'd be glad if you could help me with finding these maps online.
Thanks in advance
Best of luck
Dear research colleagues,
Is there a method to detect glaciers from out of space with satellite images?
Resolution is of course the bottleneck here. So coarser than 100m image data is not beneficial.
1) What Satellite Images are most beneficial for this task?
2) What type of image data might be suited best? Is a specific choice of bands helpful or do LST provide most promising results?
3) I have encountered this work below. It seems very promising, can someone evaluate?
The final goal is to automatically generate masks in shape of these glaciers. For example with help of unsupervised k-means classification or if necessary supervised classification to recognize and distinguish between glaciers and everything else including snow-covered soil by color (examples attached, as you can see it does not work very well yet.). These masks are further a key element for the test part in a CNN project.
Here is a very nice project with very fine masks from lakes and sea instead of glaciers: https://github.com/JiahuiYu/generative_inpainting/issues/451
Since I work mostly with GEE, here are several LST datasets which I ask you to evaluate if you have more experience than me:
Are there today any easy free GUI software e.g. to do with DEM this: draw a polygon, or select a feature/features/, or (automatically) somehow determine a wider area, and get the length, width and height and so on of (glacial) landform(s), or get morphometric characteristics of the selected area/part of the DEM.
1. The purpose is to develop land use/ land cover map, lithology map, geomorphology map.
2. To study land use pattern and and coast line changes with time.
I wish to know the windward and leeward (rain shadow) locations/districts of Western Himalayas (WH) of India during the passage of Western disturbance in December to March months.
[P.S. The WH region runs through three subdivisions of India namely Uttarakhand, Himachal Pradesh, and Jammu & Kashmir]
Questionnaire is carried out in order to develop my master thesis: The impact of user-defined parameters on DEM accuracy. By using feedbacks from the users who works with DEMs the conclusion about users perception of the importance of user-defined parameters in digital terrain modelling will be performed.
Thanks in advance to all !
I tried viewing a GeoTIFF file using an ordinary photo viewer, and was curious as to why the GeoTIFF displayed differently compared to when it is loaded into a GIS software. Can anyone explain why this is so? Does this have to do with the amount of data stored per pixel in a GeoTIFF file or something?
These are the the end results which I produced and I want a little interpretation. the first image is a geological map of the area and the next is with faults activated. i want to ask what interpretations can i make from this data.
And the next question is about the cross section ? can i interpret as graben structure in between the fault lines. ?
help would be appreciated.
One example is of Hattian Landslide, Kashmir, Pakistan that was triggered by earthquake, 2005. This landslide is situated very near to trace length of Bagh-Balakot Fault and at the landslide locality, this fault was also known as Tanda Valley Fault in the previous literature. Second example is Attabad Landslide (although aseismic landslide), Hunza valley, Pakistan. During a geomorphological mapping campaign carried our during a project, a fault was also inferred.
I want to creater a paleosurface for my study site. So I have to deal with colluvial layers. I want to bring them back to the slopes. In preperation of detailed field investigations I am searching for GIS or R tool to calculate this. Maybe it is liek an inverse erosion modelling.
I am trying to use a logic ( rule -based classification ) to extract built-up area, similar to as suggested by Xu (2007).He uses, three spectral indices, SAVI( Soil Adjusted Vegetation Index), NDBI ( Normalized Difference Built-up Index ) and MNDWI ( Modified Normalized Difference Water Index) to help extract built-up area. However, I am not able to know the method he chose a threshold of SAVI=-0.344 in the following statement:( In other words, how am i able to extract the right threshold value for SAVI to avoid spectral confusion?)
Given, Band 1=SAVI , Band 2= NDBI and Band 3=MNDWI
If Band 1 < -0.344 and Band 2 > Band 3 then 1 Else 0.
The maximum of built-up land class in band1 (SAVIband) of Fuzhou image is -0.343, whereas the minimum of vegetation class in that band is - 0.182. Therefore, using -0.344 as a threshold value can help avoid the confusion between vegetation and built-up land classes and greatly increase the extraction accuracy (see sections below).
Xu, H., 2007. Extraction of Urban Built-up Land Features from Landsat Imagery Using a Thematic oriented Index Combination Technique. Photogrammetric Engineering & Remote Sensing 73 12: 1381–1391.
NW Himalaya differs largely from the central Nepal sector, for which plenty of cross-sections are available. I am in search of newly published generalised one.
From what I see, gemorpohology of proglacial zones of tropical glaciers has not been a major issue of concern. Together with my students, we're planning a small geomorphological project on Zongo glacier in Bolivia (drone, DEM, gemorphological map). Any publications, maps or more ideas for research would be of great use.
Thanks in advance,
From sub-pixel correlation of optical imagery the migration of sand dunes in river bed can be analyzed. How does this analysis enable me to suggest a suitable site for the construction of a bridge?
in anthropogeomorphology mostly we assess the landforms created by human being but mostly economical activities and construction on mountain affect geomorphological features on mountain
Hi, this site from ESRI explains the curvature, my question is about the profile curvature. They say that positive values represent a concave cell, were the flow will be accelerated. Negative values indicates a convex cell, and flow will be decelerated. I know other software’s use different signs but the logic of the acceleration shouldn’t be the contrary?I thought that a concave cell would in fact decelerate the flow!! probably read that in other sources but i need something absolutely correct to cite..
Which is right (without comparing magnitudes) a concave surface accelerates or decelerates the flow?
I'm seeking some guidance as I develop my PhD dissertation. I had planned on using a geomorphological mapping approach (remote sensing, terrain modeling, and field mapping) to map landforms and processes operating at different spatial scales to understand the spatial distribution (pattern) and interaction of landforms at different stages of placer development (placer diamonds). I'm interested in addressing this issue from the watershed scale since much work has been done at the reach scale with the physics-based approach. I need to narrow down my focus and address specific scientific questions and am seeking advice.
Dear Researchers and Academics;
I work on the 100% renewable power Global Grid subjects. I am interested in the locations of very large and large renewable power plants.
During my research, I define and describe the importance of the soil conservation regions, water conservation regions and forest conservations regions. These regions have to be untouchable (no settlement, no concrete, no metal, etc.; soil conservation only for agriculture, water conservation only for clean fresh water, forest conservation only for forests). These regions should be large and very large sites.
I thought and assumed that the international governing bodies (e.g. the United Nations) had already worked on these topics, defined, decided, and published a Global Soil Conservation Map (worldwide protected sites), a Global Water Conservation Map (protected lakes, rivers, underground water, etc.) and a Global Forest Conservation Map (protected forests) for large protected areas agreed upon and published by international consensus (like by the United Nations).
All authorities (regional, national, international) have to obey the borders of these defined and published large protected areas.
I could not find any official map (a map for soil, a map for water, a map for forest) yet.
Can you please send me a Global Soil Conservation Map, a Global Water Conservation Map and a Global Forest Conservation Map, if there is one for Global Soil Conservation, one for Global Water Conservation and one for Global Forest Conservation.
If there are GIS files for these maps in some formats such as for Google Earth, ESRI ArcGIS, they will be very useful for my research.
I would like to thank all of you who contribute to this question in advance.
Burak Omer Saracoglu
A Question for Geomorphologists: I need to find geomorphological maps indicating Gaza strip features. thanks
I considered using GIS data, but I do not have any good terrain raster available in the region I am working. My group need to collect data of rivers that have about 0.5 to 2 meters in depth.
Is there any technique to estimate river bathymetry that can be used when there is no access to equipments?
What are the typical criteria to identify glacial or fuvio-glacial deposits in core samples as old as Permian?
Feel no problems with rocky-shores: dominated by canopy-forming fucoid seaweeds, barnacles and mussels. Spans in E Atlantics from Northern Africa to the Barents Sea, by phytogeographic data (i.e. Van den Hoek 1975, Jüterbock et al. 2013). But what about sedimentary shores? How to define, how to contour?
I am adding the gebco data into arcgis, and it has no spatial reference information. So that, I used data management tools to define the projection. The spatial reference selected: WGS 84. My question is, is it correct if I used WGS 84? Or do I need to project the data into local projection?
My study is on "application of storm water for firefighting and other service utility". I want to know is there any relation between fire demand based on calorific value of the materials used in the construction of a building, so that quantity of backup stored water could be designed on the basis of the calories produced at the time of fire hazard and water required to suppressed it. I will be thankful if someone could help me with some related papers.
I looked up Google's satellite imagery and realized that a number of units with significant different are visible in the images. I want to know how this distribution pattern have been created.
I'm a geomorphologist and I live in Costa Rica, but I want to take a LiDAR and Remote Sensing course online or presential. If you know about any course I would be interested. Thank you
Drainage basin is a place of work for fluvial geomorphologists not only as a geomorphic unit but gets attracted by many researcher also due to its interdisciplinary nature. Therefore, the delineation and mapping of it is the foremost work of further researches. The shortfall of narratives on methodology to delineate and mapping a drainage basin/catchment preludes the scientific society to make a common consensus or standardisation of this vital task of map making in broader perspectives. Please put forward your views & comments...
In term of the geomorphological mapping, the landform unit must refers to a proper classification. For geological purpose, the unit must explain the genesis which form the unit.
Beside the relative topographic roughness using focal statistics, what are the other best options, using ArcMap?
I made a subsurface 3D seismic mapping of one of the horizons and now I am trying to predict lithology based on the geomorphological geometries. I am curious if it's possible, if there is any study you are aware of, please share it with me.
I have studied the effect of the neotectonic activity in a cuesta landform of Parana Basin, a large sedimentary basin located in Brazil, Argentina, Paraguay, Uruguay and Bolivia. The research has shown that the impact of Neotectonic on the landform of the area isn't strong, although there are many faults and large fractures (joints).
I have had difficulty to differentiate fractures (large joints) and faults in the field because the rocks (fine sandstones) of the region don't permit the formation of kinematic indicators, like slickensides and steps. Also, the movement of the faults was subhorizontal and the offsets are so small.
How could I differentiate strike-slips faults and large fractures when the kinematic indicators aren't so clear?
I want to know how far landsat image is useful for detail geomorphphic mapping or should I go for some other option of high resolution data?
As I am doing a glaciohydrological modelling using Spatial Processes In hydrology (SPHY), one of the input data is precipitation and the data should be in map format, but I am just the beginner in programming, I have not that concrete idea in scripting large nos of point data into maps using pc-raster. So I would very much appreciate your kind help in figuring out this problem I am facing now.
We currently use IGBP (International Geosphere and Biosphere Programme) land classification data to map inland open water fractions. However, the IGBP dataset is fixed in time and doesn't have any temporal variation.
The Arabian Empty Quarter has the remains of the bed of third largest lake in the world and a river bed whose flow 6,000 years ago would have rivaled the Nile or perhaps the Amazon. Anyone given these two features official geographic names?
I`m read many papers about this procedure, I ask why we need normalizing the geomorphological index such as (longitudinal, transverse river profile) or normalizing indices such ( steepness, area and so on)....
I tried to make Web-tiles of a large raster image about terrain classification ( Iwahashi and Pike, 2007), but it failed. Is this a ghost phenomenon? Strange faded images appeared in small scale views of Google Earth (Please see an attachment). They disappear in large scale views.
I used GDAL (gdal2tiles) to export the GeoTIFF to Web-tiles as follows.
gdal2tiles -k -r antialias infile.tif outfolder
The GeoTIFF file was created from a grayscale 8-bit image (about 35,000 by 15,000 cells) by adding a color map which includes a transparent code using ArcGIS.
Is there anyone who met with & solved the same problem?
I am working with a student to model the distribution of karst in Nova Scotia, Canada, where most karst is underlain by gypsum. We want to map areas with moderate to high probability of surface karst development (we're primarily interested in sink-hole occurrence (dolines)). In addition to bedrock geology, factors that we are considering include depth to water table (previously modelled), overburden depth, and soil porosity (indexed by % of clay in soil). Does anyone have experience with this kind of research? We want to select appropriate parameters for each of these variables (e.g., what depth of overburden, depth to water table, etc.).
For my current research I am trying to find a map which includes the location of the Storegga Submarine Slide and both the Stuoragurra fault and the Parve fault. Does anyone whether a map like that exists?
The research area is a part of the Ukrainian Carpathians. The relief of research area is mainly used and changed by human through the functioning of small towns (along the periphery), logging and tourist load. Human pressure on the relief of mountain systems often leads to undesirable geomorphic processes.
It will be used for surveying of wetlands and associated watersheds. I'm most interested in usability, reliability, and durability. Does anyone have experience with the "South" brand? They seem very reasonably priced but can't find any reviews.
I am currently working on an application of logistic regression for lanslide susceptibility assessment. In order to extract predictors' values form raster layers, I generated equally spaced grid points in landslide area and landslide - free area. It is generally recognized that the point samples should be about the same size (number of 1 - landslide points = number of 0 - non-landslide points). If this is the case, then the density of points will be significantly higher inside the landslide area than outside the landslide area, because the landslide area is generally much smaller than the landslide free area. Some say this difference in density is a critical issue. How does it affect the quality and reliability of the computed regression model? Are there any sampling alternatives?