Changes of land use and landscape pattern along sea–land gradient in developed coastal region: A case study of Jiangsu Province, China

Ecological Indicators, Journal Year: 2025, Volume and Issue: 176, P. 113635 - 113635

Published: May 21, 2025

Language: Английский

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The Applicability of a Complete Archive of Keyhole Imagery for Land-Use Change Detection in China (1960–1984)

Sensors, Journal Year: 2025, Volume and Issue: 25(10), P. 3147 - 3147

Published: May 16, 2025

Declassified Keyhole imagery partially provides multi-temporal coverage that can support land-use change analysis. However, the volume of commercial (paid) data is much larger than free imagery, and extent to which enhance application for analysis remains unknown. In this work, full archive images China was obtained from USGS identify regions with repeated automatically by using ArcPy library in Python. The years 1960 1984 were divided into five 5-year periods (T1, 1960~1964; T2, 1965~1969; T3, 1970~1974; T4, 1975~1979; T5, 1980~1984). images’ metadata, including resolution, acquisition time, image extent, utilized classify meter level (C1), five-meter (C2), ten-meter (C3). spatial distributions combinations at different resolutions each period resolution across investigated extract repeated-coverage regions. proportions nearly 100% C1 T5 periods; C2 T1 T2; C3 T3. T3 featured extensive all three (66%). mainly covered C2/C3 (93%), T4 had C1/C3 (68%). contrast, T2 relied primarily on (100%), only (96%). For changes almost areas T3/T4/T5 time span could be detected, images, corresponding spans T1/T2 T1/T3. Although study focused area detection within China, methodology Python codes provided allow implementation an automated process 1960s 1980s other worldwide.

Language: Английский

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Mapping Dryland Ecosystems Using Google Earth Engine and Random Forest: A Case Study of an Ecologically Critical Area in Northern China

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 845 - 845

Published: June 13, 2024

Drylands are characterized by unique ecosystem types, sparse vegetation, fragile environments, and vital services. The accurate mapping of dryland ecosystems is essential for their protection restoration, but previous approaches primarily relied on modifying land use data derived from remote sensing, lacking the direct utilization latest sensing technologies methods to map ecosystems, especially failing effectively identify key with vegetation. This study attempts integrate Google Earth Engine (GEE), random forest (RF) algorithm, multi-source (spectral, radar, terrain, texture), feature optimization, image segmentation develop a fine-scale method an ecologically critical area in northern China. results showed following: (1) Incorporating significantly improved overall classification accuracy radar features contributing most, followed terrain texture features. (2) Optimizing set can enhance accuracy, reaching 91.34% kappa coefficient 0.90. (3) User’s accuracies exceeded 90% forest, cropland, water, were slightly lower steppe shrub-steppe still above 85%, demonstrating efficacy GEE RF algorithm vegetation other ecosystems. Accurate requires accounting regional heterogeneity optimizing sample selection based field surveys precisely depict patterns complex regions. mapped typical region, provides baseline ecological restoration policies this as well methodological reference similar

Language: Английский

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Assessing the Imbalances in Growth between Urban Land and Urban Population and the Influencing Factors: An Allometric Growth Perspective

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1657 - 1657

Published: Oct. 11, 2024

Maintaining a balance between urban land (UL) expansion and population (UP) growth is one of the goals sustainable development, maintaining this requires more theoretical exploration regional experience. This paper re-evaluated imbalances in (IGULUP) from perspective allometric explored its influencing mechanism, taking agglomerations (UAs) China as case. reveals that rate UL slightly higher than UP. However, IGULUP vary according to development stages. UAs primary stage early face dilemma where grows faster Conversely, for later mature stage, UP UL. Finally, an increase economic level, agglomeration, fiscal expenditure, compactness can help mitigate gap In contrast, industrial structure, urbanization foreign direct investment may hinder improvement by accelerating expansion. These findings make contributions formulation targeted use control policies strategies.

Language: Английский

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Spatialisation of Pressure in Protected Areas in Burkina Faso: Case of the Corridor 1 of the Po-Nazinga-Sissili (PONASI Ecological Complex

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 12, 2024

Burkina Faso's protected areas, particularly Corridor 1, are under heavy pressure, resulting in the degradation of these areas. Despite efforts made field by government and its partners, results still mixed. Several studies have analysed changes vegetation cover landscape but failed to examine spatial behaviour factors responsible for The aim this research project is fill gap describing identifying mapping that exert pressure their impact on corridor 1 Po-Nazinga-Sissili ecological complex. methodology implemented based a hierarchical multi-criterion analysis using geographic information system tools. Land uses data from 2010 2020 location offences were used. Documentary was also carried out characterise factors. show, firstly, has been declining, with 14.2% reduction shrub savannah, while area fields increased 59.4% 10 years. Secondly, used identify areas south near villages Sarro Oualem. Finally, corridor's vulnerability shows subject strong experiencing significant plant cover. show Faso essentially due human action.

Language: Английский

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Spatiotemporal Changes and Driving Mechanisms of Cropland Reclamation and Abandonment in Xinjiang

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1476 - 1476

Published: Sept. 12, 2024

Since China’s reform and opening up in 1978, the reclamation abandonment of cropland Xinjiang have become significant features land use change arid Northwest China. However, spatiotemporal changes driving mechanisms over long time periods are still unclear, but this is crucial understanding inland land, providing important insights for management agricultural development. Based on 40 years remote sensing data resources environment, study examines characteristics four since 1980. Additionally, it uses an optimal parameter geographical detector model to quantify factors each period. The results indicate that experiences a “slow decrease–rapid increase” trend, forming “V-shaped” pattern, while shows “rapid decrease–slow “U-shaped” pattern. These trends can be divided into three periods: 1980–1990 (unstable growth), 1990–2010 (stable 2010–2020 (growth with constraints). movement pattern reclamation’s center gravity “slightly southeast–slightly northeast–southwest”, whereas abandonment’s shifts “northeast–southwest–northeast”. Further analysis reveals impact technological investment infrastructure has increased, influence natural environmental decreased. Although climate water remain key abandonment, economic social gradually diminished, mechanization steadily risen.

Language: Английский

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Mapping desert shrubs in Inner Mongolia using universal medium resolution satellite imagery: development of new spectral indices

GIScience & Remote Sensing, Journal Year: 2024, Volume and Issue: 62(1)

Published: Dec. 13, 2024

Desert shrubs are the dominant vegetation type in arid deserts and serve as crucial elements sand retention, biodiversity maintenance, carbon sequestration. However, due to their patchy scattered distributions spectral resemblance herbaceous plants, desert shrub mapping relies on high-resolution imagery, which is less accessible for large-scale mapping. Here, a set of indices Sentinel-2 (DSMIS) universal medium-resolution imagery (DSMIL) developed distinguish with dense vimen canopies. The index exploits canopy structure characteristics, have sparse multilayered high proportion desiccated branches, resulting consistently low reflectance red-edge near-infrared range. effectiveness DSMI was examined Ordos, China. In experiment, an optimal threshold 10.3 obtained via DSMIs Sentinel-2, achieved overall accuracy 91.6% identified minimum coverage 0.23. comparison, 9.7 by DSMIL Landsat-8, achieving 90.1% identifying 0.17. performance superior that commonly used random forest, this could further improve classification complement machine learning methods. late stage nongrowing season period index. also performed well at two test sites diverse species growing conditions. This study provides novel practical tool monitoring desertification regions. It offers new perspective historical dynamic studies other land cover types where only optical data available.

Language: Английский

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Analysis of Land Use Changes and Driving Forces in Chuzhou City from 2010 to 2020

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 9, 2024

Land use change is an important driving factor for global environmental change. Clarifying its changing characteristics and factors of great guiding significance optimizing land patterns, improving regional ecological environment, increasing efficiency. This article based on the grid data in Chuzhou City from 2010, 2015, 2020, ENVI GIS software are used to preprocess data. The transfer matrix dynamic degree model used, combined with actual situation City, 2010 2020 analyzed. On this basis, principal component analysis analyze forces interannual changes City. results show that structure was still mainly composed arable land, forest construction land. area other types relatively small, but grassland decreased significantly. unused continued increase, showing largest increase; In past 10 years, has undergone significant changes, a smaller difference between different trend towards balanced structure; main rapid economic development agricultural production productivity.

Language: Английский

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