Crop classification from Sentinel-2-derived vegetation indices using ensemble learning

• Published in: Journal of Applied Remote Sensing Vol. 12; no. 2; p. 26019
• Main Authors: Sonobe, Rei, Yamaya, Yuki, Tani, Hiroshi, Wang, Xiufeng, Kobayashi, Nobuyuki, Mochizuki, Kan-ichiro
• Format: Journal Article
• Language: English
• Published: Society of Photo-Optical Instrumentation Engineers (SPIE) 18.05.2018; Society of Photo-Optical Instrumentation Engineers
• Subjects: crop; random forests; Sentinel-2; stacking; support vector machine; vegetation index; vegetation index; random forests; support vector machine; crop; Sentinel-2; stacking

The identification and mapping of crops are important for estimating potential harvest as well as for agricultural field management. Optical remote sensing is one of the most attractive options because it offers vegetation indices and some data have been distributed free of charge. Especially, Senti...