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Prediction of aquatic vegetation growth under ecological recharge based on machine learning and remote sensing
C Du, J Cui, D Wang, G Li, H Lu, Z Tian, C Zhao… - Journal of Cleaner …, 2024 - Elsevier
Ecological water recharge could be an important approach to alleviating water scarcity and
improving water quality deterioration in water-scarce areas. However, the water quality …
improving water quality deterioration in water-scarce areas. However, the water quality …
[HTML][HTML] Remote Sensing Identification of Harmful Algae in Ulansuhai Lake with Machine Learning
J Cui, X Zhang, C Du, G Li - Water, 2024 - mdpi.com
Frequent algal blooms in lakes pose a serious threat to aquatic ecosystems. It is of great
significance to quickly and accurately monitor the distribution of algae in lakes for the …
significance to quickly and accurately monitor the distribution of algae in lakes for the …
Hypoxia cycle in shallow lakes during winter (ice-covered to melting period): Stable and decay, hypoxia, and recovery phases
F Zhang, X Shi, S Zhao, R Hao, B Sun, S Song… - Science of The Total …, 2024 - Elsevier
This study investigates hypoxic processes beneath lake ice and explores the interactions
between water environmental factors and dissolved oxygen (DO) during winter, aiming to …
between water environmental factors and dissolved oxygen (DO) during winter, aiming to …
Construct and Apply the Machine Learning Model to Extract the Winter Wheat Cultivation Area in Guanzhong Plain Based on Remote Sensing
D Kang, QL Hua, ZY Zhao, M Li, Y Hu, Y Liu… - Available at SSRN … - papers.ssrn.com
Wheat is one of the most critical crops in the whole world, and the accurate cultivation area
for wheat is the most important factor for getting wheat yield. So, this study used the …
for wheat is the most important factor for getting wheat yield. So, this study used the …