An Improved Multi-temporal and Multi-feature Tea Plantation Identification Method Using Sentinel-2 Imagery
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Jiulin Sun | Fen Qin | Jun Zhu | Hang Wang | Zhenzhen Liu | Peijie Huang | Ziwu Pan | Peijie Huang | Fen Qin | Ziwu Pan | Jiulin Sun | Jun Zhu | Z. Pan | Zhenzhen Liu | Hang Wang
[1] William Philpot,et al. The derivative ratio algorithm: avoiding atmospheric effects in remote sensing , 1991, IEEE Trans. Geosci. Remote. Sens..
[2] B. Brisco,et al. Rice monitoring and production estimation using multitemporal RADARSAT , 2001 .
[3] Mahesh Pal,et al. Random forest classifier for remote sensing classification , 2005 .
[4] Fevzi Karsli,et al. Remote sensing of tea plantations using an SVM classifier and pattern-based accuracy assessment technique , 2013 .
[5] P. Danoedoro,et al. Linear Spectral Mixture Analysis of SPOT-7 for Tea Yield Estimation in Pagilaran Estate, Batang Central Java , 2016 .
[6] Patrick Hostert,et al. The EnMAP-Box - A Toolbox and Application Programming Interface for EnMAP Data Processing , 2015, Remote. Sens..
[7] Jiang Luguang,et al. Application of decision tree classification to rubber plantations extraction with remote sensing , 2013 .
[8] Xiao Yang,et al. Effect of fluoride on the biosynthesis of catechins in tea [Camellia sinensis (L.) O. Kuntze] leaves , 2015 .
[9] Tea acreage estimation and condition assessment using satellite data in nilgiri district, tamilnadu , 1993 .
[10] Jayanta Kumar Ghosh,et al. MAPPING OF TEA GARDENS FROM SATELLITE IMAGES -A FUZZY KNOWLEDGE-BASED IMAGE INTERPETATION SYSTEM. , 2000 .
[11] L. Johnson,et al. Spectrometric Estimation of Total Nitrogen Concentration in Douglas-Fir Foliage , 1996 .
[12] Liang Chen,et al. Variations of Main Quality Components of Tea Genetic Resources [Camellia sinensis (L.) O. Kuntze] Preserved in the China National Germplasm Tea Repository , 2005, Plant foods for human nutrition.
[13] Lin Hai-ya. Remote Sensing Image Classification by EnMAP-Box Model , 2014 .
[14] Onisimo Mutanga,et al. Intra-and-Inter Species Biomass Prediction in a Plantation Forest: Testing the Utility of High Spatial Resolution Spaceborne Multispectral RapidEye Sensor and Advanced Machine Learning Algorithms , 2014, Sensors.
[15] Lingmin He,et al. Artificial Neural Network Ensemble for Land Cover Classification , 2006, 2006 6th World Congress on Intelligent Control and Automation.
[16] M.,et al. Statistical and Structural Approaches to Texture , 2022 .
[17] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[18] Johannes R. Sveinsson,et al. Random Forests for land cover classification , 2006, Pattern Recognit. Lett..
[19] Yi-Shiang Shiu,et al. A Comparative Analysis of Machine Learning with WorldView-2 Pan-Sharpened Imagery for Tea Crop Mapping , 2016, Sensors.
[20] R. M. Bhagat,et al. Effects of Plant Age and Environmental and Management Factors on Tea Yield in Northeast India , 2010 .