Enhancing Regional Topsoil Total Nitrogen Mapping Through Differentiated Fusion of Ground Hyperspectral Data and Satellite Images Under Low Vegetation Cover DOI Creative Commons

Rong-Qiao He,

Jihua Meng,

Du Y

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(12), P. 2145 - 2145

Published: Nov. 26, 2024

Total nitrogen in soil (STN) serves as a crucial indicator of nutrient content and provides an essential source necessary for crop growth. Precisely inversion STN is the sustainable management resources advancement agricultural development, particularly to achieve efficient fertilization—reduction fertilizer usage without compromising yield or increase while maintaining total fertilization amount. Spectroscopy technology regarded ideal non-destructive method detection. However, due weak spectral signals its spatial heterogeneity, hyperspectral imaging presents significant potential high-resolution measurements precise characterization heterogeneity. In this paper, was selected study subject, three aspects feature enhancement, multi-source remote sensing data differentiated fusion, model construction were studied. Therefore, fusion enhanced multispectral image bands (DFE_MSIBs) combined with Random Forest (RF) algorithms developed content. The findings demonstrate following: 1. characteristics not only strengthen relationship between Sentinel-2A MSI but also enhance precision regional models. 2. For algorithms, R2 0.95, RMSE 0.10 g/kg, LCCC 0.89. 3. Compared unfused model, average value increased by 0.02, decreased 0.01 0.03. These hold practical significance utilizing mapping fields.

Language: Английский

The interplay between urbanization, vegetation loss and surface heat island in cities: two decadal empirical evidence from Pakistan DOI
Zeeshan Zafar, Yuanyuan Zha, Shah Fahd

et al.

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(12), P. 9911 - 9928

Published: Oct. 18, 2024

Language: Английский

Citations

5
Remote sensing and numerical modeling to assess the drought in Ichkeul Lake, a RAMSAR wetland and UNESCO biosphere reserve, under climate change DOI
Cyrine Belhadj, Abdelaziz Sebei, Noamen Rebaï

et al.

Regional Studies in Marine Science, Journal Year: 2025, Volume and Issue: unknown, P. 103986 - 103986

Published: Jan. 1, 2025

Language: Английский

Citations

0
Urban Park Planning for Sustainability: Resident Insights from China’s Major Cities DOI Creative Commons
Biao He, Siyi Wang, Qian Xiong

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 128 - 128

Published: Jan. 9, 2025

Urban parks are pivotal in the sustainable development of urban ecosystems, significantly enhancing ecological environment and residents’ quality life. To scientifically improve park management ensure long-term sustainability, this study aims to establish a framework for understanding predicting spatial perceptions parks. Overcoming constraints traditional empirical research, conducted questionnaire survey involving 701 residents from Beijing Chaoyang Park, Shanghai Century Guangzhou Yuexiu Park May July 2024. By combining semantic differential (SD) method, importance–performance analysis (IPA), cognitive map methods, holistically assessed their variations The SD highlighted perceptional differences three parks, revealing needs tailored planning considering personal characteristics geographical location, which is essential services overall satisfaction. Comparative showed significant preferences different resident groups, with facing sense deprivation due weaker natural features, suggesting critical role elements design, while Parks were highly valued aligning design local preferences. Cognitive maps reveal perception particularly familiarity social functions, artificial landscapes, internal attractions informs integration that cater varying foster stronger place. This confirms effectiveness methods quantitatively evaluating perception, provides useful references

Language: Английский

Citations

0
A Novel Agricultural Remote Sensing Drought Index (ARSDI) for high-resolution drought assessment in Africa using Sentinel and Landsat data DOI

Nasser A. M. Abdelrahim,

Shuanggen Jin

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 4, 2025

Language: Английский

Citations

0
Enhancing Regional Topsoil Total Nitrogen Mapping Through Differentiated Fusion of Ground Hyperspectral Data and Satellite Images Under Low Vegetation Cover DOI Creative Commons

Rong-Qiao He,

Jihua Meng,

Du Y

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(12), P. 2145 - 2145

Published: Nov. 26, 2024

Total nitrogen in soil (STN) serves as a crucial indicator of nutrient content and provides an essential source necessary for crop growth. Precisely inversion STN is the sustainable management resources advancement agricultural development, particularly to achieve efficient fertilization—reduction fertilizer usage without compromising yield or increase while maintaining total fertilization amount. Spectroscopy technology regarded ideal non-destructive method detection. However, due weak spectral signals its spatial heterogeneity, hyperspectral imaging presents significant potential high-resolution measurements precise characterization heterogeneity. In this paper, was selected study subject, three aspects feature enhancement, multi-source remote sensing data differentiated fusion, model construction were studied. Therefore, fusion enhanced multispectral image bands (DFE_MSIBs) combined with Random Forest (RF) algorithms developed content. The findings demonstrate following: 1. characteristics not only strengthen relationship between Sentinel-2A MSI but also enhance precision regional models. 2. For algorithms, R2 0.95, RMSE 0.10 g/kg, LCCC 0.89. 3. Compared unfused model, average value increased by 0.02, decreased 0.01 0.03. These hold practical significance utilizing mapping fields.

Language: Английский

Citations

1