Mapping and Assessment of Land Use Change – Current and Future Directions

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".

Deadline for manuscript submissions: closed (5 April 2023) | Viewed by 6393

Special Issue Editor


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Guest Editor
Department of Geography, Geoinformatics and Regional Development, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Trieda A. Hlinku 1, 94901 Nitra, Slovakia
Interests: land-use changes; remote sensing; geoinformatics

Special Issue Information

Dear Colleagues,

Land-use change presents a way in which humans modify the natural landscape, while changes can also occur due to climate effects, such as climate change. Some of these changes may be permanent destruction, such as urban expansion. On the other side, some changes, such as forest restoration, cropland abandonment, etc., may attempt to repair previously made damage.

Furthermore, land use and land cover change mapping can play an important role in planning and management. Mapping spatio-temporal dynamics of natural environments are illustrative for policy makers, decision makers and stakeholders, and promise to capture and relate spatial trajectories into strategic and value-added information.

Connected to this, we encourage authors to submit contributions in the following priority areas to this Special Issue of Forests:

-Land use changes induced by human activities and its environmental impacts;

-New advances in mapping of land use change;

-Use of advanced technologies for land use change assessment and monitoring;

-Multifunctional use of landscape;

-Integrated assessment of land use;

-Implementation of landscape ecological principles in spatial planning processes;

-Decision support tools for sustainable landscape management and planning;

-Role of stakeholders and decision makers in territorial planning.

Prof. Dr. Martin Boltižiar
Guest Editor

Manuscript Submission Information

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Keywords

  • forest land changes
  • mapping tools
  • forest restoration
  • assessment of land use
  • natural landscape modification
  • land use planning

Published Papers (4 papers)

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Research

19 pages, 9674 KiB  
Article
Intensity Analysis to Communicate Detailed Detection of Land Use and Land Cover Change in Chang-Zhu-Tan Metropolitan Region, China
by Zhiwei Deng and Bin Quan
Forests 2023, 14(5), 939; https://doi.org/10.3390/f14050939 - 03 May 2023
Cited by 2 | Viewed by 2063
Abstract
Quantifying the change in land use and land cover (LULC) is critical for revealing the impact of human activities on the environment of the Earth’s surface. Although some studies were conducted on the change in LULC in rapidly urbanizing areas, conventional methods could [...] Read more.
Quantifying the change in land use and land cover (LULC) is critical for revealing the impact of human activities on the environment of the Earth’s surface. Although some studies were conducted on the change in LULC in rapidly urbanizing areas, conventional methods could not provide a systematic understanding of the changes and their underlying causes. This study adopted an enhanced Intensity Analysis and landscape matrices to deeply explore the change information and expansion modes of LULC in the Chang-Zhu-Tan Metropolitan Region (CZTMR). This exploration was based on remote sensing images from the past 40 years and GIS tools. The results show that the overall change in the LULC accelerated during the period 1980–2020, with its intensity expanding by 16 times. The Built gain and the Crop loss were steadily active. The Built gain was derived mainly from Crop and Forest, and its mode was dominated by edge expansion. It was detected that the Built gain steadily targeted Crop but avoided Forest despite Built gaining a large area from Forest. The reason for this is because Forest initially had the largest area. The measurement results contribute to the formulation of urban plans and land policies for sustainable development in the CZTMR. Our study explained the evolution of Intensity Analysis and its analytical thought, which could be employed in other regions for the detection of land change to help decision makers develop more targeted and sustainable land management strategies. Full article
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12 pages, 756 KiB  
Article
Remote Sensing-Based Estimation on Hydrological Response to Land Use and Cover Change
by Ying Ding, Huihui Feng and Bin Zou
Forests 2022, 13(11), 1749; https://doi.org/10.3390/f13111749 - 24 Oct 2022
Cited by 2 | Viewed by 1382
Abstract
Hydrological processes are an important driving force of environmental pollutant variation that has aroused global concern. Land use and cover change (LUCC) strongly affects hydrological processes. Remote sensing technology has played an increasingly important role in studying the relationship between LUCC and hydrological [...] Read more.
Hydrological processes are an important driving force of environmental pollutant variation that has aroused global concern. Land use and cover change (LUCC) strongly affects hydrological processes. Remote sensing technology has played an increasingly important role in studying the relationship between LUCC and hydrological processes. This study summarizes the progress of hydrological responses to LUCC. Overall, remote sensing can provide spatially continuous data of land cover and hydrological variables. With the aid of the retrieved data sets, the effects of LUCC on hydrological processes can be evaluated via correlation analysis, multiple regression method, experimental watershed approach and trajectory-based approaches. However, due to the high complexity of geographical systems, it is difficult to quantitatively separate the actual components of the influence of LUCC. The heterogeneous surface properties also lead to various results at different spatial and temporal scales. Future research should meet the challenges in data estimation, research methodology and analysis process. Full article
14 pages, 1609 KiB  
Article
Construct the Framework for the Allocation of Resources Invested in Ecological Governance from the Urban–Rural Land Use Coupling
by Qingmu Su and Linya Wang
Forests 2022, 13(10), 1588; https://doi.org/10.3390/f13101588 - 28 Sep 2022
Cited by 2 | Viewed by 1159
Abstract
With the rapid development of urbanization, cities need more external resources to meet their ultimate demand, which leads to the transfer of land use function between urban and rural areas. How to measure the urban–rural land use coupling remains to be studied. In [...] Read more.
With the rapid development of urbanization, cities need more external resources to meet their ultimate demand, which leads to the transfer of land use function between urban and rural areas. How to measure the urban–rural land use coupling remains to be studied. In addition, due to the difficulty in evaluating the unequal development and coupling between urban and rural areas, resource-consuming regions often evade their responsibility for environmental pollution, resulting in unfair allocation of invested resources. Therefore, a framework for the allocation of resources invested in ecological governance was built from the perspective of urban–rural land use coupling. This framework made clear the urban–rural coupling and applied Gini coefficient to judge the overall imbalance in the region. According to the unbalanced structure of the region, the allocation framework based on the location quotient was used to redistribute the resources invested in ecological governance, and the attribution of responsibility was made clear, which can promote regional fairness. The main conclusions are: (I) Taiwan’s overall urban–rural coupling is 8.3, that is, every hectare of land development in Taiwan requires 8.30 hectares of ecological land to meet development needs. The urban area needs to rely heavily on the ecological resources provided by the rural area. (II) The environmental problems of the urban area need to be solved by the urban area itself, while the rural area requires the urban area to be responsible for its ecological governance, and it needs to be responsible for the resource consumption of the external systems. This research provides a new perspective for the research on urban–rural coupling and resource allocation. Full article
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16 pages, 3886 KiB  
Article
Dynamic Evolution and Future Prediction of Land Use Patterns in the Arid Desert Region of Northwest China from 1990 to 2020
by Xuewu Li, Yueying Zhang, Yuheng Liu and Tingning Zhao
Forests 2022, 13(10), 1570; https://doi.org/10.3390/f13101570 - 26 Sep 2022
Cited by 1 | Viewed by 1170
Abstract
Based on temporal and spatial dynamic data on land use in the arid desert region of Northwest China from 1990 to 2020, this study quantitatively analyzed and predicted future scenarios of the dynamic distribution pattern of land use using remote sensing technology. Unused [...] Read more.
Based on temporal and spatial dynamic data on land use in the arid desert region of Northwest China from 1990 to 2020, this study quantitatively analyzed and predicted future scenarios of the dynamic distribution pattern of land use using remote sensing technology. Unused land was the dominant landscape in the arid desert region of Northwest China over the past 30 years. The largest patch index of cultivated and construction land is continuously increasing, exhibiting a spatial aggregation trend. Grassland is the main vegetation type in the arid desert region of Northwest China, with the proportion of patches fluctuating between 27 and 28% during the 30-year study period. The proportion of patches in forests decreased yearly, whereas the proportion of patches in water areas relatively changed little. Meanwhile, the area of construction land is continuously increasing, accounting for 80% of the total increased area. According to the prediction made by the model, unused land and grassland will account for the majority of land use in 2040. Environmental construction in the arid desert region of Northwest China is expected to improve the robustness of the rational development and utilization of unused land and boost the protection and construction of forests and grasslands. Full article
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