Simple download service (Atom) of the dataset: Land cover mapping in eight classes by classification of satellital images Rapid Eyes in Languedoc-Roussillon (2009)
收藏资源简介:
The completion of a study by IRSTEA on behalf of DRAAF Languedoc-Roussillon on the artificialisation of agricultural areas led to the production of a layer of geographical information that prioritised the spaces of Languedoc Roussillon in eight classes. This layer validated at 1/15000th can enrich supra-communal territorial analyses. It was this layer of satellite interpretation that resulted in agglomerating the classes into two groups to the production of artificialised spot in Languedoc Roussillon available elsewhere. See for this the data set: http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-eba0f291-0dde-4e1b-aa86-c22e3b3fdcb7
法国农业与环境科学技术研究院(IRSTEA)受朗格多克-鲁西永地区农业、食品与林业局(DRAAF Languedoc-Roussillon)委托,完成了一项针对农业区域人工化的研究,产出了一套地理信息图层,将朗格多克-鲁西永地区的空间按优先级划分为8个类别。该图层按1:15000比例尺完成验证,可用于丰富跨市镇的区域分析工作。正是基于这套卫星解译得到的地理信息图层,研究人员将原有8个类别聚合为两大类,进而生成了朗格多克-鲁西永地区人工化地块数据集,该数据集可在其他渠道获取。相关数据集可参阅以下链接:http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-eba0f291-0dde-4e1b-aa86-c22e3b3fdcb7



