Remote Sensing-Based Ecosystem Monitoring and Disaster Management in Urban Environments Using Machine Learnings
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41976-024-00124-0.pdf
Reference16 articles.
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2. Wang J, Shi T, Yu D, Teng D, Ge X, Zhang Z, ... Wu G (2020) Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: a case study in an arid oasis, NW China. Environ Pollut 266:115412
3. Fu B, Zuo P, Liu M, Lan G, He H, Lao Z, ... Gao E (2022) Classifying vegetation communities karst wetland synergistic use of image fusion and object-based machine learning algorithm with Jilin-1 and UAV multispectral images. Ecol Indic 140:108989
4. Farmonov N, Amankulova K, Szatmári J, Sharifi A, Abbasi-Moghadam D, Nejad SMM, Mucsi L (2023) Crop type classification by DESIS hyperspectral imagery and machine learning algorithms. IEEE J Sel Topics Appl Earth Obs Remote Sens 16:1576–1588
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