期刊荟萃|GIScience & Remote Sensing
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GIScience & Remote Sensing
Aims and scope
GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.
Peer Review Statement
GIScience & Remote Sensing is an international, ranked, peer-reviewed journal which publishes original research contributions to scientific knowledge.
All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees.
Journal Information
2017 Impact Factor: 2.852
Print ISSN: 1548-1603 Online ISSN: 1943-7226
Editor-in-Chief: Jungho Im, PhD
GIScience & Remote Sensing is currently indexed in: CABI; Cambridge Scientific Abstracts; CSA Sustainability Science ABstacts; Ecology Abstracts; Water Resources Abstracts; EBSCOhost; GeoRef; Elsevier BV; GEOBASE; Scopus; Online Computer Library Centre; Ovid; ProQuest; Science Citation Index Expanded; Web of Science; Wildlife Review Abstracts
Publication history
Currently known as: GIScience & Remote Sensing (2004 - current)
Formerly known as: Mapping Sciences and Remote Sensing (1984 - 2003)
Latest articles
Evaluating the potential of multi-view data extraction from small Unmanned Aerial Systems (UASs) for object-based classification for Wetland land covers
Examining deforestation and agropasture dynamics along the Brazilian TransAmazon Highway using multitemporal Landsat imagery
Snowmelt detection from QuikSCAT and ASCAT satellite radar scatterometer data across the Alaskan North Slope
Estimation of soil moisture using deep learning based on satellite data: a case study of South Korea
Quality assessment of digital surface models extracted from WorldView-2 and WorldView-3 stereo pairs over different land covers
Most read articles
Spatial data, analysis approaches, and information needs for spatial ecosystem service assessments: a review
River-flow boundary delineation from digital aerial photography and ancillary images using Support Vector Machines
Monitoring forest decline through remote sensing time series analysis
Built-up area extraction using Landsat 8 OLI imagery
Modelling dry season deciduousness in Mexican Yucatán forest using MODIS EVI data (2000–2011)
Official Website
https://www.tandfonline.com/toc/tgrs20/current
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期刊荟萃|European Journal of Remote Sensing
期刊荟萃|IEEE Geoscience and Remote Sensing Magazine
期刊荟萃|IEEE Geoscience and Remote Sensing Letters
整理 / 蒋莉 编辑 / 林逸文
审核 / 郭梅 朱林烨
指导:万剑华教授(微信号wjh18266613129)