County-Level Cultivated Land Quality Evaluation Using Multi-Temporal Remote Sensing and Machine Learning Models: From the Perspective of National Standard DOI Creative Commons

Dingding Duan,

Xinru Li, Yanghua Liu

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(18), С. 3427 - 3427

Опубликована: Сен. 15, 2024

Scientific evaluation of cultivated land quality (CLQ) is necessary for promoting rational utilization and achieving one the Sustainable Development Goals (SDGs): Zero Hunger. However, CLQ system proposed in previous studies was diversified, methods were inefficient. In this study, based on China’s first national standard “Cultivated Land Quality Grade” (GB/T 33469-2016), we constructed a unified county-level by selecting 15 indicators from five aspects—site condition, environmental physicochemical property, nutrient status field management—and used Delphi method to calculate membership degree indicators. Taking Jimo district Shandong Province, China, as case compared performance three machine learning models, including random forest, AdaBoost, support vector regression, evaluate using multi-temporal remote sensing data. The comprehensive index reveal spatial distribution CLQ. results showed that data model efficient reliable, had significant positive correlation with crop yield (r 0.44, p < 0.001). proportions high-, medium- poor-quality 27.43%, 59.37% 13.20%, respectively. western part study area better, while it worse eastern central parts. main limiting factors include irrigation capacity texture configuration. Accordingly, series targeted measures policies suggested, such strengthening construction farmland water conservancy facilities, deep tillage soil continuing construct well-facilitated farmland. This fast reliable evaluating CLQ, are helpful promote protection ensure food security.

Язык: Английский

Effective Cultivated Land Extraction in Complex Terrain Using High-Resolution Imagery and Deep Learning Method DOI Creative Commons
Zhenzhen Liu, Jianhua Guo,

C. Li

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(5), С. 931 - 931

Опубликована: Март 6, 2025

The accurate extraction of cultivated land information is crucial for optimizing regional farmland layouts and enhancing food supply. To address the problem low accuracy in existing products poor applicability methods fragmented, small parcel agricultural landscapes complex terrain mapping, this study develops an advanced model western part Henan Province, China, utilizing Gaofen-2 (GF-2) imagery improved U-Net architecture to achieve a 1 m resolution mapping terrain. We obtained optimal input data by fusing spectral features vegetation index from remote sensing images. evaluated validated effectiveness proposed method multiple perspectives conducted change detection landscape fragmentation assessment area. experimental results show that achieved F1 score 89.55% entire area, with ranging 83.84% 90.44% hilly or transitional zones. Compared models solely rely on features, feature selection-based demonstrates superior performance adjacent mountainous regions, improvements 4.5% Intersection over Union (IoU). Cultivated parcels are smaller than 0.64 hectares. From 2017 2022, overall area decreased 15.26 km2, most significant reduction occurring areas, where fragmented. This trend highlights urgent need effective management strategies prevent further loss these areas. anticipate findings can contribute precision agriculture modernization terrains world.

Язык: Английский

Процитировано

0
Exploring How Human‐Land Conflict Affects Cropland Fragmentation DOI Open Access
Xinyu Hu,

Chun Dong,

Yu Zhang

и другие.

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

ABSTRACT Arable land is vital to agriculture, and studying cropland fragmentation key for sustainable resource use. However, research has largely ignored the dynamic nature of this fragmentation, focusing instead on static farmland patterns. This study proposed eight spatial models dynamics, assessed their distribution evolution in Yellow Huaihai grain‐producing regions from 2010 2020, investigated underlying drivers. It was found that (1) although area showed an increasing trend rate increase gradually weakened, southeast coastal region higher than northwest inland region. (2) LPI↑PD↑LSI↓ mode cropland, as main area, widely distributed Shandong Henan Provinces, well Jiangsu Province. (3) Except LPI↓PD↑LSI↑ model, drivers its are population density mechanization level, while model natural endowment factors such topographic relief. The findings emphasize need curb promote concentration connectivity cropland.

Язык: Английский

Процитировано

0
Landscape Patterns and Drivers of Farmland Evolution in Basin Margin Mountainous Areas—A Case Study of Sichuan Basin, China DOI Open Access

Yuan Xiaoxia,

Shaoyao Zhang, Wei Deng

и другие.

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Март 20, 2025

ABSTRACT Rapid urbanization has resulted in increasingly complex and diverse farmland landscape patterns mountainous areas. The southern margin of Sichuan Basin, noted for its prominent urban–rural‐nature gradient, serves as a typical area analyzing evolution. In this study, an identification system was developed to classify identify the typology evolution, including fallow (FF), abandonment (FA), loss (FL), reclamation (FR). Multiscale geographically weighted regression (MGWR) employed analyze drivers spatial differentiation mechanisms results revealed following. (1) areas FR (45.39%), FF (29.62%), FA (21.81%) region were relatively large, FL (3.17%) small. Compared with 2000–2010, increased, decreased from 2010 2020. (2) FL, FR, FA, presented similar during two periods. showed lower fragmentation lowland plain (LPA) compared mid‐high (MHMA). contrast, had higher LPA, while greater low hilly (LMHA); (3) pattern evolution exhibit clear urban‐rural‐nature gradients. From LPA MHMA, dominant typologies are sequentially FF‐FA. Concurrently, primary driving factors shift socioeconomic (urbanization policies) more natural (terrain ecological conservation). This study proposes integrated framework managing regions, considering regional policy trade‐offs synergies. It can guide sustainable use protection farmland, supporting rural revitalization agroecological sustainability.

Язык: Английский

Процитировано

0
Exploring the coupling and coordination characteristics, influencing factors, and ecological management zoning of ecosystem services and urbanization: A case study of the Yangtze River Economic Belt DOI

Jixing Huang,

Wanyi Liu, Shuqi Yang

и другие.

Deleted Journal, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Can Market-Oriented Allocation of Land Factors Promote the Adoption of Cropland Quality Protection Behaviors by Farmers: Evidence from Rural China DOI Creative Commons

Lulin Shen,

Fang Wang

Land, Год журнала: 2024, Номер 13(5), С. 665 - 665

Опубликована: Май 12, 2024

Protecting cropland quality is a fundamental national policy that China must adhere to for the long term. This study examines impact of market-oriented allocation land factors on farmers’ protection behaviors and its mechanism action, based survey data from 3804 farm households in 2020 Rural Revitalization Survey (CRRS). The employs Ordered Probit (O-probit) model, mediated effect other econometric tools analyze data. found can significantly promote adoption behaviors. robustness test supports this conclusion. indirectly promotes by expanding plot size improving agricultural income. analysis heterogeneity indicates farmers are more likely adopt plains, suburban areas, or areas with better developed labor markets. Therefore, it essential continue promoting reforms rural factors, actively transfer policies, guiding development operations towards scaling, specialization, modernization. will achieve rational resources. It important consider geographical variations each area when implementing policies guarantee effective utilization cropland.

Язык: Английский

Процитировано

3
Promoting or inhibiting? The impact of farmland use transition on rural household income: Evidence from the Three Northeast Provinces, China DOI
Xiaoxiao Wang, Huafu Zhao,

Jiacheng Qian

и другие.

Habitat International, Год журнала: 2024, Номер 156, С. 103255 - 103255

Опубликована: Дек. 11, 2024

Язык: Английский

Процитировано

3
Human activities exacerbate river network degrading in the Qinhuai River basin DOI

Yueyang Dong,

Peng Wang, Zulin Hua

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 952, С. 176021 - 176021

Опубликована: Сен. 3, 2024

Язык: Английский

Процитировано

2
Spatial–Temporal Evolution and Influencing Factors of Arable Land Green and Low-Carbon Utilization in the Yangtze River Delta from the Perspective of Carbon Neutrality DOI Open Access

Ruifa Li,

Wanglai Cui

Sustainability, Год журнала: 2024, Номер 16(16), С. 6889 - 6889

Опубликована: Авг. 11, 2024

Arable land green and low-carbon utilization (ALGLU) is an important pathway to safeguard food safety achieve the transformation progress of agriculture, playing a crucial role in promoting agricultural ecological protection economic sustainability. This study takes Yangtze River Delta region (YRD), where rapid urbanization most typical, as area. On basis fully considering carbon sink function arable land, measures level using Super-slack based measure (Super-SBM) model, analyzes its spatial temporal evolution autocorrelation center gravity, standard ellipsoid then impact with help geographic detector geographically weighted regression model. We analyzed multifactor interaction heterogeneity factors geodetector Results: (1) The ALGLU YRD has shown fluctuating upward tendency, increasing from 0.7307 2012 0.8604 2022, growth rate 17.75%. phased changes correspond national development policies stages socio-economic development. (2) There are significant differences YRD, high levels distributed southwest Jiangsu, northern Zhejiang, northwest Anhui, while low YRD. Positive exists transfer trends gravity deviation ellipses essentially align pattern. (3) affected by many factors, intensity effects far exceeding that individual factors. When single-factor effects, precipitation, topography, farmers’ income influencing ALGLU. In scenarios involving multiple-factor interactions, become primary focus effects. Furthermore, driving exhibit heterogeneity, direction extent each factor different cities. can provide valuable insights for future regional sustainable

Язык: Английский

Процитировано

2
Considering spatial heterogeneity of cultivation conditions can effectively improve the assessment of nitrogen use at the provincial scale in China DOI Creative Commons
Jiayi Jiang, Sijing Ye,

Lingling Sang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 167, С. 112603 - 112603

Опубликована: Сен. 16, 2024

Язык: Английский

Процитировано

2
Arable Land Quality in Developing China: An Integrated Exploration from Global Challenges to Localized Solutions DOI Creative Commons
Sijing Ye, Changqing Song, Yakov Kuzyakov

и другие.

Land, Год журнала: 2024, Номер 13(3), С. 350 - 350

Опубликована: Март 8, 2024

Ensuring global food security and sustainable development remains a top priority at present [...]

Язык: Английский

Процитировано

1