Modeling adaptation strategies to climate change in prospect of agriculture DOI

Sidra Balooch,

Adeel Abbas, Wajid Ali Khattak

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 283 - 305

Published: Oct. 11, 2024

Language: Английский

Assessing soil degradation in Brazilian agriculture by a remote sensing approach to monitor bare soil frequency: impact on soil carbon DOI Creative Commons
Gabriel Pimenta Barbosa de Sousa, Henrique Bellinaso, Jorge Tadeu Fim Rosas

et al.

Soil Advances, Journal Year: 2024, Volume and Issue: 2, P. 100011 - 100011

Published: July 15, 2024

In countries with extensive agricultural practices, there is a significant risk of soil degradation, making it essential to develop techniques for understanding and detecting these changes. this study, we used an earth observation system identify the temporal bare frequency thus, relate tillage its impact on carbon degradation. The work was performed in two important states Brazil, São Paulo Paraná. For that, historical field Remote Sensing (RS) data were analyzed relation between areas their detected by Landsat images, last 36 years using Geospatial Soil System (GEOS3). Historical surface temperature produced same images. addition, legacy pedological crops (i.e., cover) maps used. Finally, texture information spatialized based synthetic image (SISY). A total 28,000 sites topsoil organic (SOC) as reference soils state Paraná presented significantly lower when compared Paulo, mainly due wide use No-Tillage system. advancement sugarcane harvesting technologies together "boom" commodities after 2000s responsible considerable increases cover conservation. It noticed that more exposed remains, less has, having negative correlation (r≈ −0.5). Sandy both proved be ones subject highest exposure rates degraded. This fact concern, given sandy are susceptible degradation factors, such erosion. We observed public policies related systems adopted agro-community, which had dynamics. remote technique able infer how has been managed. crucial provides solid basis developing future aimed at sustainable production.

Language: Английский

Citations

1
Estimation of soil health in the semi‑arid regions of northwestern Iran using digital elevation model and remote sensing data DOI

Mingli Zang,

Xiaodong Wang,

Yunling Chen

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(4)

Published: March 11, 2024

Language: Английский

Citations

1
Assessing the performance of machine learning models for predicting soil organic carbon variability across diverse landforms DOI

Maryam Dadgar,

Seyedeh Ensieh Faramarzi

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(23)

Published: Nov. 22, 2024

Language: Английский

Citations

1
Evaluation of soil fertility using combination of Landsat 8 and Sentinel‑2 data in agricultural lands DOI
Ming Zhang,

Mohammad Khosravi Aqdam,

Hassan Abbas Fadel

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(2)

Published: Jan. 10, 2024

Language: Английский

Citations

0
Sustainable Management and Agriculture Resource Technology System using Remote Sensing Descriptors and IoT DOI Creative Commons
Neerav Sharma,

Shubham Bhattacharjee,

Rahul Garg

et al.

GEOMATICA, Journal Year: 2024, Volume and Issue: unknown, P. 100040 - 100040

Published: Nov. 1, 2024

Language: Английский

Citations

0
Modeling adaptation strategies to climate change in prospect of agriculture DOI

Sidra Balooch,

Adeel Abbas, Wajid Ali Khattak

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 283 - 305

Published: Oct. 11, 2024

Language: Английский

Citations

0