Fractional Vegetation Cover Estimation Algorithm Based on Recurrent Neural Network for MODIS 250 m Reflectance Data

Fractional vegetation cover (FVC) is a critical land surface parameter, and several large-scale FVC products have been generated based on remote sensing data. Among these existing products, the global land surface satellite (GLASS) FVC product, derived from moderate resolution imaging spectroradiome...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.6532-6543
Hauptverfasser:	Liu, Duanyang, Jia, Kun, Xia, Mu, Wei, Xiangqin, Yao, Yunjun, Zhang, Xiaotong, Tao, Guofeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial intelligence Artificial neural networks Back propagation networks Continuity Data Estimation Glass Land surface Learning algorithms Long short-term memory Machine learning MODIS multivariate adaptive regression splines Neural networks Parameter estimation Plant cover Recurrent neural networks Reflectance Reflectivity Remote sensing Resolution Spatial discrimination Spatial resolution Spectroradiometers Splines subpixel vegetation cover mapping Training Vegetation Vegetation cover Vegetation growth Vegetation mapping
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