Phenology-based delineation of irrigated and rain-fed paddy fields with Sentinel-2 imagery in Google Earth Engine
作者机构：School of EnvironmentUniversity of AucklandAucklandNew Zealand School of Biological SciencesUniversity of AucklandAucklandNew Zealand
出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)
年 卷 期：2021年第24卷第4期
页 面：695-710页
核心收录：
学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081802[工学-地球探测与信息技术] 082804[工学-农业电气化与自动化] 08[工学] 0828[工学-农业工程] 0818[工学-地质资源与地质工程] 09[农学] 0903[农学-农业资源与环境] 081602[工学-摄影测量与遥感] 0816[工学-测绘科学与技术]
基 金：Ministry of Foreign Affairs and Trade,New Zealand University of Auckland
主 题：Phenology-based mapping paddy type Google Earth Engine Sentinel-2 rice mapping
摘 要：Paddy rice agriculture is practiced in both rain-fed and irrigated ecosystems in the ***,small farms are prevalent in the region,and current satellite-based mapping techniques do not distinguish between the two ecosystems at farm *** study developed an approach to rapidly map irrigated and rain-fed paddy rice in Iloilo,Philippines at 10 m resolutions using Google Earth *** approach used an ensemble of classifiers based on time-series vegetation indices to produce dry and wet seasonal maps for the entire *** showed a predominance of rain-fed rice areas in both seasons,with irrigated rice making up only onefourth of the total rice *** overall accuracy was achieved at 68%for the dry season and 75%for the wet season based on ground-acquired points and very high-resolution *** two types of paddies were classified at accuracies up to 87%.Furthermore,the land cover maps showed a strong agreement with the municipal *** resultant maps complement current official statistics and demonstrate the prowess of phenology-based mapping to create paddy inventories in a timely manner to inform food security and agricultural policies.
维普期刊数据库
