Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery

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• 作者：Feng Gao^a ; ^{feng.gao@ars.usda.gov} ; Martha C. Anderson^a ; Xiaoyang Zhang^b ; Zhengwei Yang^c ; Joseph G. Alfieri^a ; William P. Kustas^a ; Rick Mueller^c ; David M. Johnson^c ; John H. Prueger^d
• 关键词：Crop growth stages ; Phenology ; Crop conditions ; Crop progress ; Crop yield ; Data fusion ; Time-series analysis
• 刊名：Remote Sensing of Environment
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：188
• 期：Complete
• 页码：9-25
• 全文大小：3901 K
• 卷排序：188

文摘

Remote sensing approaches for mapping crop phenology at field scale are developed. Spatial details and seasonal variability are captured from data fusion approach. 30-m crop phenological metrics are generated using the fused Landsat-MODIS data. Crop phenology from remote sensing are correlated to crop physiological stages.