Water resources of Afghanistan and related hazards under rapid climate warming: a review

JAN Shokory, B Schaefli, SN Lane - Hydrological sciences journal, 2023 - Taylor & Francis
Rapid climate change is impacting water resources in Afghanistan. The consequences are
poorly known. Suitable mitigation and adaptation strategies have not been developed. Thus …

Crop map** using supervised machine learning and deep learning: a systematic literature review

M Alami Machichi, E mansouri, Y Imani… - … Journal of Remote …, 2023 - Taylor & Francis
The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …

Valuation of land-use/land-cover-based ecosystem Services in Afghanistan—An Assessment of the past and future

O Najmuddin, Z Li, R Khan, W Zhuang - Land, 2022 - mdpi.com
Being one of the weakest economies in the world, livelihoods in Afghanistan remain highly
dependent on local ecosystem services. However, the risk of ecosystem services …

Machine learning and food security: insights for agricultural spatial planning in the context of agriculture 4.0

VJPD Martinho, CAS Cunha, ML Pato, PJL Costa… - Applied Sciences, 2022 - mdpi.com
Climate change and global warming interconnected with the new contexts created by the
COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to …

Map** winter wheat with optical and SAR images based on Google Earth Engine in Henan Province, China

C Li, W Chen, Y Wang, Y Wang, C Ma, Y Li, J Li… - Remote Sensing, 2022 - mdpi.com
The timely and accurate acquisition of winter wheat acreage is crucial for food security. This
study investigated the feasibility of extracting the spatial distribution map of winter wheat in …

Map** sugarcane in Thailand using transfer learning, a lightweight convolutional neural network, NICFI high resolution satellite imagery and Google Earth Engine

A Poortinga, NS Thwal, N Khanal, T Mayer… - ISPRS Open Journal of …, 2021 - Elsevier
Air pollution from burning sugarcane is an important environmental issue in Thailand.
Knowing the location and extent of sugarcane plantations would help in formulating effective …

A new multiple phenological spectral feature for map** winter wheat

W Cai, J Tian, X Li, L Zhu, B Chen - Remote Sensing, 2022 - mdpi.com
Rapid and accurate map** of winter wheat using remote sensing technology is essential
for ensuring food security. Most of the existing studies have failed to fully characterize the …

[HTML][HTML] Assessing the impact of climate change on agricultural production in central Afghanistan

H Raoufi, H Jafari, WA Sarhadi, E Salehi - Regional Sustainability, 2024 - Elsevier
Afghanistan has faced extreme climatic crises such as drought, rising temperature, and
scarce precipitation, and these crises will likely worsen in the future. Reduction in crop yield …

Sentinel SAR-optical fusion for improving in-season wheat crop map** at a large scale using machine learning and the Google Earth engine platform

LE Zoungrana, M Barbouchi, W Toukabri, MO Babasy… - Applied Geomatics, 2024 - Springer
In-season wheat growing area identification is of great importance for monitoring crop
growth conditions and predicting related yield. In this study, we developed an approach to …