Classification of rare land cover types: Distinguishing annual and perennial crops in an agricultural catchment in South Korea
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Classification of rare land cover types: Distinguishing annual and perennial crops in an agricultural catchment in South Korea
Authors
Keywords
Crops, Agricultural soil science, Land use, Clouds, Rice, Cereal crops, Erosion, Remote sensing
Journal
PLoS One
Volume 13, Issue 1, Pages e0190476
Publisher
Public Library of Science (PLoS)
Online
2018-01-26
DOI
10.1371/journal.pone.0190476
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Crop selection under price and yield fluctuation: Analysis of agro-economic time series from South Korea
- (2016) Heera Lee et al. AGRICULTURAL SYSTEMS
- Temporal optimisation of image acquisition for land cover classification with Random Forest and MODIS time-series
- (2015) Ingmar Nitze et al. International Journal of Applied Earth Observation and Geoinformation
- Global effects of land use on local terrestrial biodiversity
- (2015) Tim Newbold et al. NATURE
- A new classification model for a class imbalanced data set using genetic programming and support vector machines: case study for wilt disease classification
- (2015) Muhammad Syafiq Mohd Pozi et al. Remote Sensing Letters
- Conventional and organic farming: Soil erosion and conservation potential for row crop cultivation
- (2014) Sebastian Arnhold et al. GEODERMA
- An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
- (2013) Victoria López et al. INFORMATION SCIENCES
- A hybrid pansharpening approach and multiscale object-based image analysis for mapping diseased pine and oak trees
- (2013) Brian Alan Johnson et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Monsoonal-type climate or land-use management: Understanding their role in the mobilization of nitrate and DOC in a mountainous catchment
- (2013) Svenja Bartsch et al. JOURNAL OF HYDROLOGY
- A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
- (2012) R. Alejo et al. PATTERN RECOGNITION LETTERS
- Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data
- (2012) J. Christopher Brown et al. REMOTE SENSING OF ENVIRONMENT
- The impact of global land-cover change on the terrestrial water cycle
- (2012) Shannon M. Sterling et al. Nature Climate Change
- An assessment of the effectiveness of a random forest classifier for land-cover classification
- (2011) V.F. Rodriguez-Galiano et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Soil erosion risk in Korean watersheds, assessed using the revised universal soil loss equation
- (2011) Soyoung Park et al. JOURNAL OF HYDROLOGY
- Rapid Release and Changing Sources of Pb in a Mountainous Watershed during Extreme Rainfall Events
- (2010) Kyeong-Won Jo et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Learning from Imbalanced Data
- (2009) Haibo He et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A systematic analysis of performance measures for classification tasks
- (2009) Marina Sokolova et al. INFORMATION PROCESSING & MANAGEMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd 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