Object-Based Land-Cover Mapping with High Resolution Aerial Photography at a County Scale in Midwestern USA
出版年份 2014 全文链接
标题
Object-Based Land-Cover Mapping with High Resolution Aerial Photography at a County Scale in Midwestern USA
作者
关键词
-
出版物
Remote Sensing
Volume 6, Issue 11, Pages 11372-11390
出版商
MDPI AG
发表日期
2014-11-17
DOI
10.3390/rs61111372
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Object-based land-cover classification for metropolitan Phoenix, Arizona, using aerial photography
- (2014) Xiaoxiao Li et al. International Journal of Applied Earth Observation and Geoinformation
- Land system architecture: Using land systems to adapt and mitigate global environmental change
- (2013) B.L. Turner et al. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
- Geographic Object-Based Image Analysis – Towards a new paradigm
- (2013) Thomas Blaschke et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Landscape sustainability science: ecosystem services and human well-being in changing landscapes
- (2013) Jianguo Wu LANDSCAPE ECOLOGY
- Per-pixel Classification of High Spatial Resolution Satellite Imagery for Urban Land-cover Mapping
- (2013) David Barry Hester et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- Object-based urban vegetation mapping with high-resolution aerial photography as a single data source
- (2012) Xiaoxiao Li et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Object-based crop identification using multiple vegetation indices, textural features and crop phenology
- (2011) José M. Peña-Barragán et al. REMOTE SENSING OF ENVIRONMENT
- Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
- (2011) Soe W. Myint et al. REMOTE SENSING OF ENVIRONMENT
- Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview
- (2011) Thomas Blaschke et al. Remote Sensing
- Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat Imagery Change Detection Methods
- (2010) George Xian et al. REMOTE SENSING OF ENVIRONMENT
- Object based image analysis for remote sensing
- (2009) T. Blaschke ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: A comparison study
- (2009) Weiqi Zhou et al. REMOTE SENSING OF ENVIRONMENT
- Land use studies in drylands: an evaluation of object‐oriented classification of very high resolution panchromatic imagery
- (2008) B. Elmqvist et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Vegetation Mapping of the Mond Protected Area of Bushehr Province (South-west Iran)
- (2008) Ahmadreza Mehrabian et al. Journal of Integrative Plant Biology
- Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications
- (2008) Thoreau Rory Tooke et al. REMOTE SENSING OF ENVIRONMENT
- Object-based Land Cover Classification and Change Analysis in the Baltimore Metropolitan Area Using Multitemporal High Resolution Remote Sensing Data
- (2008) Weiqi Zhou et al. SENSORS
- A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States
- (2007) Qihao Weng et al. International Journal of Applied Earth Observation and Geoinformation
- Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site
- (2007) Georgios Mallinis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Classifying environmentally significant urban land uses with satellite imagery
- (2007) Mi-Hyun Park et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now