Questions related to Land Use
A tree-based land use system is well known for carbon credit generation. Agroforestry and Bamboo-based plantations are the other avenues for carbon credit. However, the core agriculture crops also contribute to carbon sequestration for a shorter span of time. Now in the present scenario, what are the possibilities to generate carbon credits through agricultural crops?
What is conservation of agriculture for sustainable land use in India and impact does conservation agriculture have on climate change?
Distinguish between direct and indirect impacts of land use and land management on Soil Organic Carbon, and how these relate to the broader SDG goals.
Define the role of agriculture and land-use policies in influencing soil organic carbon levels in India, and discuss potential reforms in this context.
What are the applications of crop model in agriculture and applications of remote sensing in crop health monitoring and land use mapping?
I want to remove clouds from Sentinel-2 imagery (Level 2A) using ESA SNAP. I use SNAP 9.0.0.
I need the imagery to be cloud free since I am carrying out a land use land cover classification.
Please provide me with guidelines/instructions or a video tutorial link.
How can I train an ANN using current raster data (population, precipitation, DEM, land use) and use this model to predict future land use based on upcoming raster data (population, precipitation, temperature)?
I've been studying the relevant theory extensively recently, and I'd like to find a case study to see how it's practically implemented. Could you please guide me to where I can find similar case studies? I've noticed that many papers follow this approach, but I'm struggling to locate any code examples.
If there are no case studies available, I'd like to understand how to use raster data as inputs for an ANN and what preprocessing steps are needed, especially when dealing with multiple raster data inputs.
Discuss the importance of integrating soil conservation practices into land-use planning and development policies for long-term soil quality protection.
Climate change: Problem would remain solved by giving up the use of fossil fuels?
1. In the context of ‘global greenhouse gas emissions by gas’, even if we ignore (a) CO2 release from forestry and other land use (11%); (b) methane (16%); (c) nitrous oxide (6%); (d) fluorinated gases (2%); to what extent, will we be able to curtail 65% release of CO2 from fossil fuel and industrial processes?
If not, does it mean that “Are we addicted to fossil fuels?” “We’’ means whom do we refer to? (Those, who are in their 20’s or 60’s: Who exactly was addicted? And, I personally think that it may not be fair to bring everyone on the same platform by suddenly start concerning about their future generations) Well, if I cannot curtail (a) 24% global greenhouse gas emissions by ‘agriculture, forestry & other land use’; (b) 25% by electricity & heat production; (c) 14% by transportation’ (d) 6% by buildings; then, how could the curtailment essentially by industry from its 20% is going to make a huge impact (leaving aside the 10% of global greenhouse gas emission by other energy forms)? Are we going to expect a drastic reduction from China, US & India from its current global CO2 emissions from fossil fuel combustion (and some other industrial processes)?
2. How long oil & gas industry would continue maintaining it’s contribution to the global economy and to it’s growth and development @ global-scale ‘significantly’?
Whether it’s current global domestic product of 3% would come down drastically in the near future?
Whether oil & gas industry’s status as one of the world’s most traded commodities may soon change in the near future?
If so, what is the rate @ which the trade in crude oil would come down in the next 10 years – from its current value of around US$650 billion?
In case, if the rate of decline remains to be significant, then, how about the employment provided by the oil and gas industries – from its current employable capacity of around 12 million people per annum globally?
3. Well, even, if we get along with Paris agreement – by not bothering about the way each and every oil & gas industry that gets affected (and in turn, its massive employability @ global-scale), are we sure that we will have no more environmental concerns that will become a threat to sustainable development in its economic, social and environmental dimensions "by any other means" on this earth?
I personally feel that only the nature of the problem will keep on changing from time to time, while, science and technology cannot provide any solution to get rid-off all the problems faced by human being as we have started challenging the nature - in the name of science and technology - rather than trying to understand its very nature.
It's similar to trying to understand on what exactly happens to my energy after my last breathe - having known that energy can neither be created nor be destroyed.
We are studying the impact of climate change on t land use change and plant cover evolution. We need publications on how to know the impact of climate change solely (without the antropogenic factors) on the reduction of forest and agrosystem plants cover.
I’m an ecologist using machine learning algorithms (using the gradient boosting approach for the first time 😊) to gain insight into land use patterns. My question is related to a machine learning challenge in my research, specifically in its use for predicting a (continuous) outcome.
Can you explain why a predictor might have a relative influence but no marginal effect? So, for example see image, ‘Distance from a town’ was a fairly important predictor of land use in an area (say 15% relative influence) but, in further analysis (using the GBM and partial dependence plots) we found no visible relationship between the two. On the graph, the x axis is distance from the town in km and on the y is the marginal effect on the extent of a particular land cover type in an area.
What does it mean when a feature has an influence but no marginal effect on an outcome? Is it that, by itself this feature does not explain land use, or perhaps that this feature may have an indirect influence?
How do changes in land use and habitat fragmentation impact the distribution of pollen and its effects on the environment ?
1. What are the implications of urban sprawl for land use patterns and property values in high mountain towns along the Karakorum Highway?
I have seen many papers examining landuse effect. But don't find the reason behind choosing the buffer length. If there is anyone who can give some tricks about appropriate buffer distance, it will be beneficial.
Looking forward for your suggesions.
I'm having problem in simulating future land use and land cover (LULC) scenarios. In this simulation, I only adjust the Curve Number (CN) for each the scenarios in the HEC-HMS. However, the peak discharge of all the scenarios is quite same and did not have drastic change for each the scenario (low in afforestation, medium afforestation, extreme 1, extreme 2 and extreme 3(deforestation).
We would like to ask if someone knows from where we could get spatial data of Kyrgyzstan (focus Issyk Kul Oblast).
The best would be of course open-access and in formats compatible with ArcPro, QGIS, etc.
We are particularly interested in:
> land use (similar to the CORINE Land Cover, if existent...)
> plant growth/health, forestry
> climate & precipitation, weather in general
> population (permanent, tourism)
> road network
> ... whatever is available
Please let us know,
thank you and best regards!
I am interested in using Google Earth Engine and I would like to classify land use land cover classification using the platform.
in my study, I will monitor and predict change in LULC. for monitoring change, I will use classification and change detection techniques but for predicting change, I don't have any idea how can i achieve it. can you please recommend to me any technique to achieve the predection of LULC : Free software or program
I know how to use zonal statistics tool. However, I am not entirely clear on how the authors employed the zonal statistics tool to compare chemical variables with land use and land cover changes, as shown in the accompanying tables.
I am looking for some Open-sourced Downscaling Algorithms or Methods applied to the High-resolution Remote Sensing Data (such as Land Cover/ Vegetation Type and so on).
Could somebody help me out? Appreciate that!
please Share some interesting ideas and topics relating climate change, Ecological restoration and land use land cover change if possible .
I could not find suitable data for LCA modelling. I am looking for some data like input and output information about COD, BOD, SS, TN, TP, energy consumption, chemical additives (PAC, Urea, NaOH,...), land use information, some emissions, and other special data on different treatment methods.
like this below table:
In some case studies use the GPS location of a nearby village or station when describing study sites, which can be problematic, especially if we want to use information about the site location to extract some data from gridded (mapped) datasets where we need to use the specific location of the experimental plots. For example, the GPS location may indicate urban land whereas the experimental plot lies in forests. Is there any online resource to check the land use type in which a given GPS (longitude, latitude) location lies?
Please suggest me latest software to analyse the land use/land cover impact on water quality of river basin.
There is a serious push in the USA right now August 2022 to save the trees on government land from logging by executive order or by law under the stressor that “Saving the trees that belong to society cost nothing”. And this means the land use called protected use costs nothing,
And this raises the question, Does the protection of trees/forest land under government ownership cost nothing to society?
What do you think?
Please share your own views on the use protection question.
Note: this is an academic question, not a political one.
I am working on how land use effects soil and also on how the different land use affects agronomic performance of musa. Can the esteemed members please recommend some good subscription/free journals/hybrid?
I am suppose to predict land use/land cover changes using rainfall, climate and socio-economic data. what regression model can be recommended ?
For a study that I intend to make a country-based comparison of the legal regulations on the protection of agricultural lands, I examined three examples from Turkey, Germany, and United Kingdom, but I would like to extend these examples.
I'm also quite curious about examples from developing countries that continue this process with a variety of policies and regulations would be great.
Are there any examples of good practices and new paradigms that you come across when considering agricultural land use (especially the measures taken by developing countries)?
Working with SWAT modeling in mining regions. The Land Use of the mining region has to be fine enough to understand the impact of change of land disturbance by mining on hydrology.
Kind request to receive some templates on interviews, surveys, questionnaires for the fieldwork related to the Impact of land-use changes on soil erosion intensity?
We are planning to use standard methodologies for the assessment of Soil erosion on the field. In addition to that, we will use some photo materials (repeat photography), google maps, google earth...
We are looking for some good examples you implemented earlier for collecting data using interview techniques, questioners, working with Focus Groups.
It is not a problem to include interested parties to be with our team one of the authors, being interested to participate in the preparation of the interview techniques, questioners, working with Focus Groups (online ZOOM with us); including the analysis of the received inputs.
Looking forward to your reply,
Dr. Sc. Velibor SPALEVIC
1, Novaka Miloseva, 81000 Podgorica, Montenegro
Mobile/Viber/WhatsApp: +382 67 201 222
I am about to start some analysis for a paper I am preparing. I want to evaluate the possible relationship between land use variables and changes in fish funcional diversity.
However, for land use changes, I only have one measureament per year, as for the fish community, I have four samplings per year. My dataset comprehends 20 years of data, for both land use and fish metrics. (i.e I have 20 outcomes for each land use variable, and 80 measuraments for fish functional indexes)
So, my question is: is it correct to repeat the measurements for land use variables to matche the four measuraments I have for fish samplings? Initially I thought about using some kind of GLM or betaregressions (considering my response variable - fish functioanl indexes).
I really appreciate any help!
I want to do land use land cover classification using land sat images and random forest algorithm. Please, suggest an available potential software with some tutorials/ manuals to accomplish the research.
Thanks in advance
I am looking for a way to build land-use models for the future 2050 and 2100. In addition to social and economic variables, I would like to include in these models the effects of climate change following the scenarios of SSPs 4.5 and 8.5. Do you have any suggestions for me? What are the limitations of these models?
What is the purpose, usefulness and outcome of climatic simulations, particularly those of ecological LUC measures such as the Sahel afforestation ("Great Green Wall")?
How reliable are they and how can they have an impact on decision making? There are many simulations of the intended afforestation or restoration of the Sahel region, raising warning flags of heat waves and flooding since many years. However, we find that they are based on somewhat unrealistic, hydro-ecologically not feasible vegetational assumptions.
Now, after many years of simulations the most recent study (Camara et al, Atmosphere 2022, 13, 421) at least finds that reforestation should help to improve the climate over the reforested area. - Could scientific results have caused delays in starting badly needed restoration measures? Maybe even worse, as an indirect consequence have an affect on drought events?
I want to do logistic regression analysis in R studio with glm function. I have categorical independent values as lithology, land use, aspect. I would like to be sure that does r automatically create dummy variables for my categorical data. Or do I have to create dummy variables for all categoric variables?
-So long as there are adequate and reliable datasets, it is possible to show the effects of land use and land cover changes on river flows in a given time period/s.
- The same is true for showing the effect of climate change on river flows using appropriate models, if there is data.
But, how can one show the combined effects of climate change and land-use and land cover changes on a given river catchment/flow?
Which of the existing tools and models could be helpful in this regard?
Thanks for your time and usual help!
How sustainable is it to generate too many transportation improvements on a poorly created land use development plan?
I have LULC and ET data for the past three decades and have predicated LULC for future time period (e.g., 2025-2055). Now, I want to predict ET using land use land cover changes.
i am working on relation between urban heat island and land use/ land cover. my intention is to use environmental critical index but i do not know how to determine it. please i need your help
Instead of doing supervised classification to produce a land use map from satellite images, can I just use an existing land use map (in shapefile format) to predict land use change(Just convert the shapefile to raster then undergo land use prediction)? Furthermore, does the land use type need to be general? For example, the land use consists of forest, agricultural, built-up and water bodies only. What if I want to be more specific like breaking down agriculture to several types like husbandry, palm oil and aquaculture?
These days, the implications of future socio-economic development on climate change mitigation, adaptation, and land use are explored using SSPs. How it is better than RCPs?
I am comparing the soil quality of different land use at watershed scale, and in need of (if) a tool help to calculate the indices?
I assumed that the hybridization of two langur species in Bhutan is happening due to habitat modification and land use change. I wanted to determine how land use change has contributed towards habitat modification.
Within EU4Sevan project we are looking for the successful cases of implementation of PES for agricultural and sustainable land-use practices to adapt and scale-up for the lake Sevan basin. Any references to relevant studies in the area of PES in Agriculture, PES in Sustainable land-use and PES for ecosystems/agro-ecosystems would be highly appreciated and welcomed.
I attempted to do land use classification (CART classifier in GEE) using the 2020 South African National Land Cover Map as training data (73 classes) (although only 53 of the classes occur in my study area).
The overall accuracy is only 40 - 45 %.
I saw in the map publisher's accuracy report that they decreased their classes and understand that my low accuracy is ascribed to the large quantity of classes I am trying to use.
What is your experience with land use classification in GEE and how can I attempt to improve the overall classification accuracy?
This student thanks you in advance.
I have the rainfall data of different stations within the basin and the land use map.I am new to hec hms and i am having several doubts on how to operate the model. can anyone help me with few answers? thank u in advance
I wish to prepare a land-use map for a certain region of a city (approx 800 sq km). What is a good number of GCPs? I will be defining around 5-6 different land-use types. I plan to use Semi-automatic Classification tool in QGIS for my purpose.
I'm trying to create different future land use land cover (LULC) scenarios. How can I manage to create such scenarios in ArcGIS?
I'd be so glad as well if you just could tell me other possible tools that I can use for creating different LULC scenarios and export them to ArcGIS?
Thanks in advance
Best of luck
Assalamu alaikum. I’m an undergrade student working on his academic thesis.
I want to know about the land use ratio of The Turag River of last 20-30 years. More specifically about the land filling activity that is occurring for decades. Can I do it using Google Earth or USGS? Or do I need other GIS software’s such as ArcGIS/Erdas Imagine or other applications? Please Mention.
We want to prepare village level crop maps (based on the land use maps) using Google Earth Engine and machine learning algorithm. There are around 27 major crops in Maharashtra.
- Can there be as many as 27 classes in the classification?
- On what basis can we decide the maximum number of classes algorithm can support?
- What is the optimum number of classes to achieve maximum accuracy?
- What is the number of ground truth points required for each class? What sample size is good sample size?
It is well-establshed fact that the link between land use and the climate is complex. For example, land cover, as shaped by land-use practices, affects the global concentration of greenhouse gases. While land-use change is an important driver of climate change, as changing climate can lead to changes in land use and land cover. Although, the understanding of the interactions between climate and land-use change is improving, continued scientific investigation is still needed. I request you to kindly share your opinions and evidence from the published research regarding various methods available that help distinguishes and decide whether the disaster occurred due to climate change or land cover change. Thank you!
Hello guys, I am new to remote sensing and GIS.
I am stuck in one problem. Actually, I had carried out the land use land cover classification but the main problem is to make the land use land cover classification at different altitudes.
I already had the DEM but doesn't know how to determine the values for the different classes at various altitudinal ranges.
Thanks in advance.
Can anyone please help with the process where area can be considered during land use classification? For e.g. If you want to classify forest, you need to take into account 0.5 ha area and 10% canopy cover. how do we set those criteria during classification? Is it under object based classification? I am classifying green space of urban area and want to consider only more than 10 sq m. If you have any ideas, I would sincerely appreciate.
I'm hoping there's an expert out there to help me. I'm doing a masters research project using ArcGIS. Put simply, I am creating land use change scenarios where I am converting a proportion of arable land into woodland. For example, I take 20% of arable land in my study area and convert it to woodland.
I would like to know, is there a way in GIS where I can randomly select 20% of the area within a land use, and then reclassify it to a new land class?
Hi! I am listing published works on Land Use and Land Cover classification of orbital remote sensing images in which labeled samples for training the classifier and/or assessing the classification accuracy were collected based on VANT/DRONE data. As this information is not usually straightforward in the keywords I am a bit stumped. Any known paper that used that type of data? Suggestions are greatly appreciated.
I am trying to find high detail information about the land cover/land use maps openly distributed by governamental agencies in all Eurasian countries. I am also interested in crop type maps and forest type maps, as well as marine ecosystem maps. I already know about initiatives like Open Street Map, but this is not always complete. There are also many dataset available from Copernicus, but this is not always enough (and it doesn't cover all countries). Basically, I think that I could find most European scale datasets when English search is possible. But my problem is mainly for countries of different languages, where the search by a non native speaker is more difficult despite computer translation. So with everyones collaboration, maybe we could list the ressources available in your own countries (or the fact that the data is not openly available is also interesting, so that I stop looking). Information on how to download the data (in the language of the site) would be a generous addition to providing the url.
Background: In the field investigation of the headwaters stream, we discover that the land use intensity is positively correlated with the distance from the headwaters. Compared with the natural stream, the fish community composition in the disturbed stream was significantly changed. Question: how to quantify the impact of land use intensity on β diversity while excluding the effect of distance decay?
A question. Does anyone happen to know of any studies on the influence of surrounding land use (natural habitat, mass-flowering crops, other agriculture, etc.) on the sex ratio of the offspring produced by solitary bees (possibly specifically mason bees but not necessarily)?
To date, I have only found studies that indicate that larger individuals produce more females and that the proportion of females decreases through the season.
Thanks in advance!
Actors may favour hard policy instruments (i.e. their policy preferences) if they can thus protect the interests (e.g. resources) of 'their' sector, thus in a way protecting 'their' sector and 'their' interests.
I'm looking for literature, especially from the land-use sector, that backs this idea.
I have a vector layer with buffers (all same size) around my sample points. I also have a land-use map of the area with 5 different classes. I have the land-use map in both rastar (Geotiff) and vector (by converting rastar using polygenize) format. I wish to calculate percentages of different land-use types in these buffers for two cases -
(1) buffers do not overlap
(2) some buffers overlap
Does anyone of you know a tool for dissolving/eliminate small polygons by combining them with larger adjacent polygons? In the past I used the tool "Dissolve Adj. Polys" by Jenness Enterprise (http://www.jennessent.com/arcview/dissolve_adjacent_polys.htm) and it worked very well. However, it worked with ArcView3.x and now with the ArcGIS 10.x I don't know how to do it and setting minimum mapping unit quickly and efficiently.
Do you know a tool or software for this operation?