Landscape Change - Science topic

minimal of 4 generations will be needed for any conclusion in this regard.

Dear Md. Inzamul Haque ,

According to your research, you can use the following techniques:

- Cellular Automaton,

- SLEUTH (Improving Calibration with a Genetic Algorithm),

- Fuzzy Coincidence,

- The NASZ Model,

- Multilayer Perceptron (MLP),

- Multi-objective Land Allocation (MOLA),

- Receiver Operating Characteristic (ROC) Analysis,

- Weights of Evidence.

This study is interesting to understand the impact of suppression policies on wildland-urband interface fire risk across the boreal forest

Parisien et al., 2020 - Fire deficit increases wildfire risk for many communities in the Canadian boreal forest - Nature Communications 11, Article number: 2121

Dr DMSLB Dissanayake sorry your link was not helpful at all, it is not related to this discourse

Hi Dennis. You can use open source softwares like R and GRASS to do change detection.The idea is to get the raster stats for your study area for different years and compare them.In R raster package can easily do this.In grass you can use r.stats function to do this.You can use r.stats function from Q gis toolbox as well.You can also use the ESA CCI landcover time series to do the change detection.The maps are at 300 m resolution from 1992 onward and have many land-cover classes.

Many thanks for your usefull answers !

Hello Roland,

There are guidelines, of course, but these may well be useless for many variable sets or contexts. I don't know of any mathematical reason to suggest that .15 (ir any other value) is magically better as a threshold for a relationship being judged as noteworthy.

Jacob Cohen, in his 1988 text, Statistical power analysis for the behavioral sciences (2nd ed.), proposed these levels for the simpler version of V, the phi coefficient (in which one of the two dimensions has 1 df):

"Small" effect size = phi of .10; "medium" ES = phi of .30; "large" ES = phi of .50.

However, Cohen would be the first to admit that such guidelines may be meaningless in specific data/variable/population contexts; there is no substitute for intimate understanding of these features.

Here's a simple example of how a very low correlation can still be useful: Consider a correlation of .01 between a no-cost, one-question cancer screener and the subsequent occurrence of cancer within a year. Sounds useless, right?

(With these hypothetical values from 100,000 cases: screen+/cancer+ = 6,472; screen+/cancer- = 57,922; screen-/cancer+ = 3,356; screen-/cancer- = 32,250; the chi-square = 10.114, and phi = .01). In this scenario, the one-question screener would potentially save nearly 6,500 lives. So, is it useful?

Good luck with your work.

Tahnk you Mr J. C. Tarafdar for your help

Dear Prof Gil Mahe,

Much thanks for the recommendation. I actually know well that paper, as well as the previous developpement made by Pierre Diello in his thesis work (2007) on Nakambe basin.

I actually got some interesting insights and ideas from this. However, in this work, we are highly interested in the mapping, modelling and forecasting of spatial distribution of LULC changes, we went in a different direction, that is LULC modelling.

Ultimately, the problem has been "solved". I believe I might share the approach we used in another writeup, hopefully soon.

Thanks again.

Thanks, Richard and Andrew.

Richard - I think time always feels so different looking back than looking forward, but I don't think we ever learn from that experience to do anything but discount the future. I think it is a solid suggestion, however, to anchor scenarios in an event rather than a time: i.e. when sea level rises by X amount, rather than in year Y. This may also get past some of the challenges in setting year Y without wide uncertainty bars.

Has anyone else found the sweet spot, or have clever ways to establish it? In spatial analysis there is a rule that you choose a raster cell size at least half (in each direction) of the smallest thing you want to be able to resolve. Is there a temporal corollary for 'resolving' the future.

The question starts with 'modelling', the explanation introduces 'managing' and one of the answer raises 'design'. Starting the later, few farming landscapes have been designed. Examples of designed farm landscapes are polders (e.g. NL, DE, IT), irrigated lands downstream of reservoirs (e.g. Mariental, Namibia), land consolidation projects (landscape redesign) and post-revolutionary land reform (e.g. kolchoz) . The next level, managing seems largely fictitious for private land.

As a working hypothesis, designed agrarian landscapes show (i) more separation of planted tree, crop and grass, (ii) larger blocks of each component and (iii) little land reserved for spontaneous vegetation and wildlife developments. The latter needs more systematic attention from my perspective as practitioner.

Hello Again,

I am the person who developed the COST and DOS1 atmospheric correction methods and wanted to follow up with a short comment (you can see papers related to these in my research gate profile).  Keep in mind that most, probably all, atmospheric correction methods apply an additive, and in some cases like the COST method also a multiplicative, correction using the same value for the ENTIRE image.  They are NOT pixel-by-pixel corrections so the thin clouds will NOT be removed.  Since the correction methods are entire image based ones they generally will not change the relationships of the various spectral clusters in the image and will basically just move the clusters around in a linear fashion.  Since the swir bands (bands 5 and 7 in Landsat 5 and 7 systems), and somewhat the nir band, will penetrate thru this type of thin clouds I still recommend that you investigate using these bands only to see what kind of results you will get (i.e., do not use the visible bands in the analysis).

Pat

You're welcome Pablo Fraile

Well, there is a classical book: Turner, M. G., & Romme, W. H. (1994). Landscape dynamics in crown fire ecosystems. Landscape ecology, 9(1), 59-77. I also recommend you a not commonly referenced : Farina, A. (2006). Principles of landscape dynamics. Principles and methods in landscape ecology: Toward a Science of Landscape, 229-266.

Anyway it is a very wide topic. Are you interested in recent landscape dynamics? (Hernández, A., Miranda, M., Arellano, E. C., Saura, S., & Ovalle, C. (2015). Landscape dynamics and their effect on the functional connectivity of a Mediterranean landscape in Chile. Ecological Indicators, 48, 198-206.) In historical changes? (Peringer, A., Siehoff, S., Chételat, J., Spiegelberger, T., Buttler, A., & Gillet, F. (2013). Past and future landscape dynamics in pasture-woodlands of the Swiss Jura Mountains under climate change. Ecology and Society, 18(3), 11.)

In techinques to evaluate it? Rephotography (Strand, E. K., O'Sullivan, M. T., & Bunting, S. C. (2012). Time series aerial photography can help land owners and managers understand local aspen dynamics. Rangelands, 34(5), 21-29.), satellite (Ghosh, A., Sharma, R., & Joshi, P. K. (2014). Random forest classification of urban landscape using Landsat archive and ancillary data: Combining seasonal maps with decision level fusion. Applied Geography, 48, 31-41.)...

Are you phocused on a specific topic? Agricultural (Ghosh, A., Sharma, R., & Joshi, P. K. (2014). Random forest classification of urban landscape using Landsat archive and ancillary data: Combining seasonal maps with decision level fusion. Applied Geography, 48, 31-41.), vegetation (Abel-Schaad, D., & López-Sáez, J. A. (2013). Vegetation changes in relation to fire history and human activities at the Peña Negra mire (Bejar Range, Iberian Central Mountain System, Spain) during the past 4,000 years. Vegetation history and archaeobotany, 22(3), 199-214.)...

Thank you Matheus. I will look.

In GIS, can assess change called change detection between two georeferenced images.  Also various approaches to classify and estimate land use from images.  If these type coverages are not already available, suggest you contact a GIS professional, who will probably share or find this type information for you.  If the spectral images have no past assessment history for your area, then you will have to decide how much ground checking you are willing to do to help validate. 

Dear Abdelghani and All

This is a very important question. It relates to the selection of a water resistant trees deficiency linked to drought for the reasons you mentioned. Provide timely responses on my part would be indecent because it takes its specific proof that require time. Given that I live in Algeria I have traveled through a north-south transect that crosses our bioclimatic. Many of our regions are deficient in water especially in semi-arid Sahelian bioclimatic zones. Each of our regions have a specific feature not only on the rainfall map but also heat. It is important to note in each region indigenous and even introduced species that are resistant to drought. In general I noticed that the Pinus and Cupressus genera are quite resistant in many of our regions with a large water deficit. I think particularly of the species Pinus halepensis, the Cupressus sempervirens variety pyramidilis and horizontalis. What do you think of Cupressus dupreziana very drought resistant lives endemic Tassili N'Ajjer. This is one of the world's threatened species according to the IUCN, not because of drought but especially overgrazing. I can cite other kinds Olea and Acacia represented by the species Olea europea and Acacia horrida.

You may use also: NADIG: Die Orthopteren. In :NADIG - SCHWEIZER - TREPP: Die Verbreitung der Heuschrecken auf einem Diagonalprofil durch den Alpen. Jahresber. Naturf. Ges. Graubünden, N.F. 106, 2. Teil, 227-380.

Dear Majid,

I think that one of the main issues is the continuity of the waterfront public promenade, its urban quality and its connection with the neighbouring programmes of commercial and residential urbanism as well as with public transportation. In such contexts, the work of urbanists, planners and architects has to integrate the micro-dimension of daily uses and trajectories as well as the more macro-dimension of the connection with the rest of the city. It is in my opinion this ability to play on both scales that allows (among other factors like the negociation with private developers of the extent and nature of public spaces) a project to acquire a specific value in terms of urbanity.

The Institute of Planning of Landscape and Urban Systems (PLUS) at the Swiss Federal Institute of Technology in Zurich (ETH) (http://www.irl.ethz.ch/plus/about/index) has a long experience in this topic in Switzerland, which of course has nothing to do with Mediterranean landscape. But it could be useful when comparing results and approaches.

Great!Great....

I do not know help you for historical maps of Bratislava but for now the the Corine Land Cover is a good idea, also because is free. 

Perhaps these will point you in the right direction.

In my opinion it is very appropriate to use information geobotany as a layer(s) in the GIS to plan and/or manage natural resources. It's not widespread in protected areas, but I think it is an excellent idea.

Yes, it will be under Horizon 2020.

And yes, I hope that participation will also be open to non-EU countries. Even though this is not very likely at the moment. That is, participation is always possible and welcome by EC. It is funding that is usually not possible.

We will have to look at the next available calls.

Dear Luca,

See the last number (4/2013) of the journal European Countryside: http://www.degruyter.com/view/j/euco.2013.5.issue-4/issue-files/euco.2013.5.issue-4.xml

Possibly, you can find some inspiration for your work.

Best regards,

Antonin

Using the Change detection analysis, we can able to study changes in landscape pattern