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Toward Efficient Land Cover Mapping: An Overview of the National Land Representation System and Land Cover Map 2015 of Bangladesh

机译:走向高效的土地覆盖范围:孟加拉国国家土地代表制度和土地覆盖地图2015年概述

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摘要

In response to prevailing classification inconsistency between land cover maps, developed by different organizations in different times at different scales, an object-based National Land Representation System (NLRS) for Bangladesh has been developed. The process, which began in 2013 and was completed in 2016, brought together several national organizations and involved an extensive process of consultation, data collection, translation, and analysis of existing land cover/use classification systems. The process focused on the interpretation of three legends from historic national land cover/use maps. Field inventory data were collected from over 1000 sites across the country to assist the process of land characterization and the development of a dynamic and representative overview of land cover and land use in Bangladesh. The system has been applied to the development of a wall-to-wall national land cover map for the year 2015. In this article, the methodological process and results of NLRS formulation and land cover map 2015 are presented. We also provide examples of how this interoperable system and the land cover dataset are being used for variety of applications including national forest resources assessment, estimation of REDD+ activity data, integration of biophysical and socioeconomic information, and semantic similarity assessment.
机译:为了响应陆地覆盖地图之间的普遍分类,不同组织在不同尺度的不同时间开发的不同组织中,已经开发了孟加拉国的基于对象的国家土地代表制度(NLRS)。该过程始于2013年,并于2016年完成,汇集了几家国家组织,并涉及广泛的咨询,数据收集,翻译和现有土地覆盖/使用分类系统的分析。该过程侧重于历史历史国家陆地覆盖/使用地图的三个传说的解释。从全国各地的超过1000个站点收集了现场库存数据,以协助土地特征过程和孟加拉国土地利用的动态和代表概述的发展。该系统已应用于2015年的墙壁全国陆地覆盖地图的开发。在本文中,提出了NLRS制定和土地覆盖地图2015的方法论过程和结果。我们还提供了这种可互操作系统和土地覆盖数据集的示例,用于各种应用程序,包括国家森林资源评估,Redd +活动数据的估算,生物物理和社会经济信息的整合以及语义相似性评估。

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