Tree Cover Estimation in Global Drylands from Space Using Deep Learning

Accurate tree cover mapping is of paramount importance in many fields, from biodiversity conservation to carbon stock estimation, ecohydrology, erosion control, or Earth system modelling. Despite this importance, there is still uncertainty about global forest cover, particularly in drylands. Recentl...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Guirado Hernández, Emilio, Alcaraz Segura, Domingo, Cabello Piñar, Francisco Javier, Puertas Ruíz, Sergio, Herrera, Francisco, Tabik, Siham
التنسيق:	info:eu-repo/semantics/article
اللغة:	English
منشور في:	MDPI 2020
الموضوعات:	convolutional neural networks data augmentation deep learning dry forest forest mapping large-scale datasets transfer learning
الوصول للمادة أونلاين:	http://hdl.handle.net/10835/7706

الانترنت

http://hdl.handle.net/10835/7706

Tree Cover Estimation in Global Drylands from Space Using Deep Learning

الانترنت

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