Continental-scale wetland mapping: A novel algorithm for detailed wetland types classification based on time series Sentinel-1/2 images
出版年份 2023 全文链接
标题
Continental-scale wetland mapping: A novel algorithm for detailed wetland types classification based on time series Sentinel-1/2 images
作者
关键词
-
出版物
ECOLOGICAL INDICATORS
Volume 148, Issue -, Pages 110113
出版商
Elsevier BV
发表日期
2023-03-12
DOI
10.1016/j.ecolind.2023.110113
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。- Mapping the annual dynamics of land cover in Beijing from 2001 to 2020 using Landsat dense time series stack
- (2022) Shuai Xie et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Mapping intertidal macrophytes in fjords in Southwest Greenland using Sentinel-2 imagery
- (2022) Daniel F. Carlson et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series
- (2021) Chao Sun et al. REMOTE SENSING OF ENVIRONMENT
- Effect of Reduced Anthropogenic Activities on Water Quality in Lake Vembanad, India
- (2021) Gemma Kulk et al. Remote Sensing
- Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm
- (2021) Man Liu et al. ECOLOGICAL INDICATORS
- Validation of the U.S. Geological Survey's Land Change Monitoring, Assessment and Projection (LCMAP) Collection 1.0 annual land cover products 1985–2017
- (2021) Stephen V. Stehman et al. REMOTE SENSING OF ENVIRONMENT
- The migration of training samples towards dynamic global land cover mapping
- (2020) Huabing Huang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- GOODD, a global dataset of more than 38,000 georeferenced dams
- (2020) Mark Mulligan et al. Scientific Data
- Examining Health of Wetlands with Multiple Ecosystem Services as Targets in China’s Coastal Regions
- (2020) Yangming Zhou et al. Chinese Geographical Science
- National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images
- (2020) Dehua Mao et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Water-related ecosystems' mapping and assessment based on remote sensing techniques and geospatial analysis: The SWOS national service case of the Greek Ramsar sites and their catchments
- (2020) Eleni Fitoka et al. REMOTE SENSING OF ENVIRONMENT
- Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS)
- (2020) Kathrin Weise et al. REMOTE SENSING OF ENVIRONMENT
- Time-Series Model-Adjusted Percentile Features: Improved Percentile Features for Land-Cover Classification Based on Landsat Data
- (2020) Shuai Xie et al. Remote Sensing
- High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015
- (2020) Marco Calderón-Loor et al. REMOTE SENSING OF ENVIRONMENT
- MERIT Hydro: A high‐resolution global hydrography map based on latest topography datasets
- (2019) Dai Yamazaki et al. WATER RESOURCES RESEARCH
- Impacts of Land-Based Greenhouse Gas Removal Options on Ecosystem Services and the United Nations Sustainable Development Goals
- (2019) Pete Smith et al. Annual Review of Environment and Resources
- Annual maps of global artificial impervious area (GAIA) between 1985 and 2018
- (2019) Peng Gong et al. REMOTE SENSING OF ENVIRONMENT
- Automatic Land-Cover Mapping using Landsat Time-Series Data based on Google Earth Engine
- (2019) Shuai Xie et al. Remote Sensing
- Assessing macrophyte seasonal dynamics using dense time series of medium resolution satellite data
- (2018) Paolo Villa et al. REMOTE SENSING OF ENVIRONMENT
- Global extent of rivers and streams
- (2018) George H. Allen et al. SCIENCE
- The global distribution and trajectory of tidal flats
- (2018) Nicholas J. Murray et al. NATURE
- Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations
- (2017) Stephen Sagar et al. REMOTE SENSING OF ENVIRONMENT
- Global wetlands: Potential distribution, wetland loss, and status
- (2017) Shengjie Hu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- The first all-season sample set for mapping global land cover with Landsat-8 data
- (2017) Congcong Li et al. Science Bulletin
- High-resolution mapping of global surface water and its long-term changes
- (2016) Jean-François Pekel et al. NATURE
- Estimating the volume and age of water stored in global lakes using a geo-statistical approach
- (2016) Mathis Loïc Messager et al. Nature Communications
- Changes in the global value of ecosystem services
- (2014) Robert Costanza et al. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
- Good practices for estimating area and assessing accuracy of land change
- (2014) Pontus Olofsson et al. REMOTE SENSING OF ENVIRONMENT
- Mapping wetland changes in China between 1978 and 2008
- (2012) ZhenGuo Niu et al. CHINESE SCIENCE BULLETIN
- Why is marsh productivity so high? New insights from eddy covariance and biomass measurements in a Typha marsh
- (2008) Adrian V. Rocha et al. AGRICULTURAL AND FOREST METEOROLOGY
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started