A global dataset of annual urban extents (1992–2020) from harmonized nighttime lights

Earth system science data, Год журнала: 2022, Номер 14(2), С. 517 - 534

Опубликована: Фев. 8, 2022

Abstract. Understanding the spatiotemporal dynamics of global urbanization over a long time series is increasingly important for sustainable development goals. The harmonized nighttime light (NTL) time-series composites created by fusing multi-source NTL observations provide and consistent record nightscape characterizing understanding urban dynamics. In this study, we generated dataset annual extents (1992–2020) using analyzed patterns nearly 30 years. urbanized areas associated with locally high intensity human activities were mapped from imagery new stepwise-partitioning framework. This framework includes three components: (1) clustering signals to generate potential clusters, (2) identification optimal thresholds delineate extents, (3) check temporal consistency correct pixel-level We found that land area percentage Earth's surface rose 0.22 % 0.69 between 1992 2020. Urban past 3 decades at continent, country, city levels exhibit various patterns. Our resulting evaluated other remote sensing products socioeconomic data. evaluations indicate reliable spatial intensive settlement high-intensity activities. study can unique information capture historical future trajectories understand tackle impacts on food security, biodiversity, climate change, public well-being health. be downloaded https://doi.org/10.6084/m9.figshare.16602224.v1 (Zhao et al., 2021).

Язык: Английский

---

Cropland abandonment in China: Patterns, drivers, and implications for food security

Journal of Cleaner Production, Год журнала: 2023, Номер 418, С. 138154 - 138154

Опубликована: Июль 18, 2023

Язык: Английский

---

Simulation of future land use/cover change (LUCC) in typical watersheds of arid regions under multiple scenarios

Journal of Environmental Management, Год журнала: 2023, Номер 335, С. 117543 - 117543

Опубликована: Фев. 26, 2023

Язык: Английский

---

Can new-type urbanization promote the green intensive use of land?

Journal of Environmental Management, Год журнала: 2023, Номер 342, С. 118150 - 118150

Опубликована: Май 17, 2023

Язык: Английский

---

Spatial-temporal variation, driving mechanism and management zoning of ecological resilience based on RSEI in a coastal metropolitan area

Ecological Indicators, Год журнала: 2024, Номер 158, С. 111447 - 111447

Опубликована: Янв. 1, 2024

Urbanization results in drastic land use/cover change (LUCC) and ecological resilience (ER) issues, which has become an important urgent question of regional sustainability. This study applied the remote sensing index (RSEI) to represent ER, further combined ordinary least squares (OLS), Google Earth Engine (GEE) platform analyze spatiotemporal variations ER LUCC at city scales from 1990 2020 Hangzhou Bay Metropolitan Area (HBMA), explore relationship between LUCC, apply for urban management zoning. The demonstrated that HBMA showed a characteristic "slightly worse overall improved locally", mean value decreased 0.508 0.502 2020. Specifically, Shanghai, Shaoxing, Ningbo increased, others decreased. exhibited very obvious spatial aggregation feature "high southwest low northeast". dynamic depicted expansion construction was expense occupying cropland. degree population have significant negative effects on ER. zoning could be divided into five zones, namely core protection area, monitoring optimization restoration potential governance area. Results this provide more comprehensive understanding metropolitan areas implication provided improve adaptation sustainable development coastal

Язык: Английский

---

Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability

Cogent Food & Agriculture, Год журнала: 2025, Номер 11(1)

Опубликована: Янв. 7, 2025

Accurate insights into the spatial distribution of cultivated areas, land use for effective agricultural management, and improvement food security planning, especially in developing countries. Therefore, this study examined impact changes population growth on wheat crop productivity. First, by incorporating more than three decades satellite data (1990–2022) different Landsat missions with machine learning algorithms, high-confidence classes were defined features, including cropland. Second, grown area was identified using cropland extraction based acreage assessment method (CLE-WAAM). Third, dynamics applying an exponential model to forecast predict demand. These findings necessitate integrated methodological development demand supply mechanisms two-step floating catchment (2SFCA) approach a thorough analysis socioeconomic developments. The results revealed that transformed non-cropland, percentage 8.01. A 79% rise occured between 1990 2022, projected increase 112% 2030. Specifically, cultivation decreased 28%, despite stagnant parameters observed since 2000. proposed contributes efficiently United Nations' sustainable goal (02: Zero Hunger) satellite, geospatial, statistical integration.

Язык: Английский

---

Understanding the spatial distribution patterns and dominant determinants of farmland abandonment in China

Habitat International, Год журнала: 2025, Номер 156, С. 103298 - 103298

Опубликована: Янв. 17, 2025

Язык: Английский

---

Mapping ecosystem service supply and demand dynamics under rapid urban expansion: A case study in the Yangtze River Delta of China

Ecosystem Services, Год журнала: 2022, Номер 56, С. 101448 - 101448

Опубликована: Июнь 4, 2022

Язык: Английский

---

Spatial-temporal characteristics and policy implication for non-grain production of cultivated land in Guanzhong Region

Land Use Policy, Год журнала: 2022, Номер 125, С. 106466 - 106466

Опубликована: Ноя. 24, 2022

Язык: Английский

---

Impact mechanisms of urbanization processes on supply-demand matches of cultivated land multifunction in rapid urbanization areas

Habitat International, Год журнала: 2022, Номер 131, С. 102726 - 102726

Опубликована: Дек. 11, 2022

Язык: Английский

---