Assessing multiple approaches for modelling land-use conflict potential from participatory mapping data

2017 ◽  
Vol 67 ◽  
pp. 253-267 ◽  
Author(s):  
Azadeh Karimi ◽  
Greg Brown
Keyword(s):  
Land Use ◽  
Participatory Mapping ◽  
Mapping Data ◽  
Land Use Conflict

Measurement and prediction of land use conflict in an opencast mining area

2021 ◽  
Vol 71 ◽  
pp. 101999
Author(s):  
Yuan Gao ◽  
Jinman Wang ◽  
Min Zhang ◽  
Sijia Li
Keyword(s):  
Land Use ◽  
Mining Area ◽  
Opencast Mining ◽  
Land Use Conflict

scholarly journals Modeling Community-Scale Natural Resource Use in a Transboundary Southern African Landscape: Integrating Remote Sensing and Participatory Mapping

2021 ◽  
Vol 13 (4) ◽  
pp. 631
Author(s):  
Kyle D. Woodward ◽  
Narcisa G. Pricope ◽  
Forrest R. Stevens ◽  
Andrea E. Gaughan ◽  
Nicholas E. Kolarik ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Resource Use ◽  
Training Data ◽  
Systems Science ◽  
Participatory Mapping ◽  
Land Use Patterns ◽  
Modeling Framework ◽  
Use Patterns ◽  
Human Habitation

Remote sensing analyses focused on non-timber forest product (NTFP) collection and grazing are current research priorities of land systems science. However, mapping these particular land use patterns in rural heterogeneous landscapes is challenging because their potential signatures on the landscape cannot be positively identified without fine-scale land use data for validation. Using field-mapped resource areas and household survey data from participatory mapping research, we combined various Landsat-derived indices with ancillary data associated with human habitation to model the intensity of grazing and NTFP collection activities at 100-m spatial resolution. The study area is situated centrally within a transboundary southern African landscape that encompasses community-based organization (CBO) areas across three countries. We conducted four iterations of pixel-based random forest models, modifying the variable set to determine which of the covariates are most informative, using the best fit predictions to summarize and compare resource use intensity by resource type and across communities. Pixels within georeferenced, field-mapped resource areas were used as training data. All models had overall accuracies above 60% but those using proxies for human habitation were more robust, with overall accuracies above 90%. The contribution of Landsat data as utilized in our modeling framework was negligible, and further research must be conducted to extract greater value from Landsat or other optical remote sensing platforms to map these land use patterns at moderate resolution. We conclude that similar population proxy covariates should be included in future studies attempting to characterize communal resource use when traditional spectral signatures do not adequately capture resource use intensity alone. This study provides insights into modeling resource use activity when leveraging both remotely sensed data and proxies for human habitation in heterogeneous, spectrally mixed rural land areas.

scholarly journals Identificación de conflictos de uso de suelo para la planificación del crecimiento urbano: ciudad Cuauhtémoc, Chihuahua (México)

2019 ◽  
Vol 45 (2) ◽  
pp. 709
Author(s):  
J.D. Maldonado-Marín ◽  
L.C. Alatorre-Cejudo ◽  
E. Sánchez-Flores
Keyword(s):  
Land Use ◽  
Development Planning ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Uses ◽  
Land Use Conflict ◽  
The Status ◽  
Resolution Model ◽  
Urban Planning And Development ◽  
Land Use Policies

This research incorporates new forms of analysis for urban planning and development in Ciudad Cuauhtémoc, Chihuahua (Mexico), providing elements of reference by identifying areas with potentiality and limitations for urban land use, as well as for agricultural and conservation activities. The general objective was to identify the main conflicts between land uses and coverages to determine the areas of greatest territorial suitability for the city's growth. For this purpose, the Land Use Conflict Identification Strategy (LUCIS) model was used to understand the spatial significance of the status of land use policies, including likely urban patterns associated with agricultural and conservation trends. In the case study, a total of 149,139 inhabitants are estimated for the year 2030, which represents the need for an additional 392.42 hectares to accommodate the population growth. For that of the 16,272.21 hectares that has the population limit, 38 % were allocated to the category of agriculture, 11.95% to conservation soils and 49.67% to urban land (including the existing urban area). There is a significant portion of the area that is in conflict between the different land uses. It concludes, that the integration of a conflict resolution model for land use and land cover represents a practical solution that contributes to the improvement of processes of urban development planning.

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