首页 文献索引 SCI期刊 AI助手
期刊目录筛选

期刊名:Rivista italiana di telerilevamento

缩写:

ISSN:N/A

e-ISSN:2279-7254

IF/分区:3.7/Q2

文章目录 更多期刊信息

共收录本刊相关文章索引6
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Jussi Juola,Aarne Hovi,Miina Rautiainen Jussi Juola
Data from the new hyperspectral satellite missions such as EnMAP are anticipated to refine leaf area index (LAI) or canopy closure (CC) monitoring in conifer-dominated forest areas. We compared contemporaneous multispectral and hyperspectra...
Marina Ranghetti,Mirco Boschetti,Luigi Ranghetti et al. Marina Ranghetti et al.
The spaceborne imaging spectroscopy mission PRecursore IperSpettrale della Missione Applicativa (PRISMA), launched on 22 March 2019 by the Italian Space Agency, opens new opportunities in many scientific domains, including precision farming...
Zahra Dabiri,Thomas Blaschke Zahra Dabiri
Scale is a critical factor when studying patterns and the processes that cause them. A variety of approaches have been used to define the concept of scale but confusion and ambiguities remain regarding scale types and their definitions. The...
Gyula Kothencz,Kerstin Kulessa,Aynabat Anyyeva et al. Gyula Kothencz et al.
The present study proposes a workflow to extract vegetation height for urban areas from Pléiades stereo and tri-stereo satellite imagery. The workflow was applied on a stereo image pair for Szeged, Hungary and on tri-stereo imagery for Sal...
Stefan Lang Stefan Lang
Urban green mapping has become an operational task in city planning, urban land management, and quality of life assessments. As a multi-dimensional, integrative concept, urban green comprising several ecological, socio-economic, and policy-...
Dirk Tiede,Andrea Baraldi,Martin Sudmanns et al. Dirk Tiede et al.
Spatiotemporal analytics of multi-source Earth observation (EO) big data is a pre-condition for semantic content-based image retrieval (SCBIR). As a proof of concept, an innovative EO semantic querying (EO-SQ) subsystem was designed and pro...