Applicability of Different Assimilation Algorithms in Crop Growth Model Simulation of Evapotranspiration DOI Creative Commons
Jingshu Wang, Ping Li, Rutian Bi

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2674 - 2674

Published: Nov. 14, 2024

Remote sensing spatiotemporal fusion technology can provide abundant data source information for assimilating crop growth model data, enhancing monitoring, and providing theoretical support irrigation management. This study focused on the winter wheat planting area in southeastern part of Loess Plateau, a typical semi-arid region, specifically Linfen Basin. The SEBAL ESTARFM were used to obtain 8 d, 30 m evapotranspiration (ET) period wheat. Then, based ‘localization’ CERES-Wheat model, fused results incorporated into assimilation process further determine optimal method. indicate that (1) ET accurately capture spatial details (R > 0.9, p < 0.01). (2) calibrated characteristic curve effectively reflects variation throughout while being consistent with trend magnitude variation. (3) correlation between Ensemble Kalman filter (EnKF) (R2 = 0.7119, 0.01) was significantly higher than Four-Dimensional Variational (4DVar) 0.5142, particle (PF) 0.5596, guidance improve yield water use efficiency which will help promote sustainable agricultural development.

Language: Английский

Study on the propagation processes and driving mechanisms of meteorological, hydrological, and agricultural droughts on the Mongolian Plateau DOI
Li Mei,

Aru Han,

Siqin Tong

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133511 - 133511

Published: May 1, 2025

Language: Английский

Citations

0
“A Multi-Method Approach to Groundwater Potential Assessment: Integrating Remote Sensing, GIS, and AHP in North Shoa Zone, Ethiopia” DOI Creative Commons

Eyosias Birhanu Alemu,

Abebaw Belayneh Zelalem

Water Cycle, Journal Year: 2025, Volume and Issue: unknown

Published: June 1, 2025

Language: Английский

Citations

0
Remote Sensing Evaluation and Monitoring of Spatial and Temporal Changes in Ecological Environmental Quality in Coal Mining-Intensive Cities DOI Creative Commons

Qiqi Huo,

Xiaoqian Cheng,

Weibing Du

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(19), P. 8814 - 8814

Published: Sept. 30, 2024

In coal-dependent urban economies, the dichotomy between resource exploitation and ecological conservation presents a pronounced challenge. Traditional remote sensing assessments often overlook interplay mining activities environmental dynamics. To address this gap, researchers developed an innovative Resource-Based City Ecological Index (RCEI), anchored in Pressure–State–Response (PSR) framework synthesized from six discrete indicators. Utilizing geodetic data, RCEI facilitated comprehensive spatiotemporal analysis of Jincheng City’s quality 1990 to 2022. The findings corroborated RCEI’s efficacy providing nuanced portrayal state within regions. (1) predominantly sustained mudhopper-tier status, exhibiting overarching trend amelioration throughout study period. (2) Disparities landscape were at county level, with Moran’s exceeding 0.9, signifying clustered pattern. High–high (H–H) zones prevalent areas elevated altitude dense vegetation, whereas low–low (L–L) sectors. (3) Further, buffer zone two coal mines, differing their chronology, geographical positioning, operational elucidated impact exerted over 32-year trajectory. These insights furnish robust scientific technical foundation for resource-centric cities fortify safeguarding advance sustainable development stratagems.

Language: Английский

Citations

1
Spatiotemporal variability of terrestrial water storage and climate response processes in the Tianshan from geodetic observations DOI Creative Commons
Tao Chen, Yuanjin Pan, Hao Ding

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 102061 - 102061

Published: Nov. 15, 2024

Language: Английский

Citations

0
Applicability of Different Assimilation Algorithms in Crop Growth Model Simulation of Evapotranspiration DOI Creative Commons
Jingshu Wang, Ping Li, Rutian Bi

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2674 - 2674

Published: Nov. 14, 2024

Remote sensing spatiotemporal fusion technology can provide abundant data source information for assimilating crop growth model data, enhancing monitoring, and providing theoretical support irrigation management. This study focused on the winter wheat planting area in southeastern part of Loess Plateau, a typical semi-arid region, specifically Linfen Basin. The SEBAL ESTARFM were used to obtain 8 d, 30 m evapotranspiration (ET) period wheat. Then, based ‘localization’ CERES-Wheat model, fused results incorporated into assimilation process further determine optimal method. indicate that (1) ET accurately capture spatial details (R > 0.9, p < 0.01). (2) calibrated characteristic curve effectively reflects variation throughout while being consistent with trend magnitude variation. (3) correlation between Ensemble Kalman filter (EnKF) (R2 = 0.7119, 0.01) was significantly higher than Four-Dimensional Variational (4DVar) 0.5142, particle (PF) 0.5596, guidance improve yield water use efficiency which will help promote sustainable agricultural development.

Language: Английский

Citations

0