CAPACITY BUILDING FOR HIGH-RESOLUTION LAND COVER INTERCOMPARISON AND VALIDATION: WHAT IS AVAILABLE AND WHAT IS NEEDED

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Brovelli, M. A.^1¹  Minghini, M.^1² 

[1] Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy^1;Department of Remote Sensing and Photogrammetry, National Geomatics Center of China, 28 Lianhuachi West Road, Haidian District, Beijing, 100830, China^2

关键词: Capacity Building;    High-resolution;    Intercomparison;    Land Cover;    Open Source;    Training Material;    Validation;   

DOI  :  10.5194/isprs-archives-XLII-4-W8-15-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

Land Cover (LC) maps are fundamental products for a wide variety of applications. The workflow for their production is composed of classification of satellite imagery and validation against a reference dataset. Different LC maps as well as multiple versions in time of the same LC map can be also compared with one another to assess LC changes. Since the current richness of both space and in-situ observations makes it quite easy to produce LC maps, it is fundamental to assess their accuracy before using them for real applications. This paper focuses on education and capacity building on the intercomparison and validation of global (i.e. covering the whole world) and high-resolution (i.e. with a spatial resolution of at least 30 m) LC maps. The availability of Free and Open Source for Geospatial (FOSS4G) technology capable to process LC maps, as well as the existence of ad hoc educational material, is carefully assessed. In parallel, an ad hoc survey has showed that users, especially in developing countries, often lack awareness about the need to validate them and are not aware about the existence of training material. With this premise, a new project presented in the paper aims to produce new, openly licensed and FOSS4G-based training material on the intercomparison and validation of global high-resolution LC maps.

【 授权许可】

CC BY