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。Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
Abdulhakim Mohamed Abdi
GISCIENCE & REMOTE SENSING (2020)
Cloud-computing and machine learning in support of country-level land cover and ecosystem extent mapping in Liberia and Gabon
Celio de Sousa et al.
PLOS ONE (2020)
Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification
Giles M. Foody
REMOTE SENSING OF ENVIRONMENT (2020)
Global Changes in Urban Vegetation Cover
Daniel R. Richards et al.
REMOTE SENSING (2020)
Monitoring Oil Exploitation Infrastructure and Dirt Roads with Object-Based Image Analysis and Random Forest in the Eastern Mongolian Steppe
Batnyambuu Dashpurev et al.
REMOTE SENSING (2020)
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Haifa Tamiminia et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Evaluation of Sentinel-2 time-series for mapping floodplain grassland plant communities
Sebastien Rapinel et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Evaluating Combinations of Temporally Aggregated Sentinel-1, Sentinel-2 and Landsat 8 for Land Cover Mapping with Google Earth Engine
Luis Carrasco et al.
REMOTE SENSING (2019)
Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine
Yunfeng Hu et al.
REMOTE SENSING (2019)
Grasslands-more important for ecosystem services than you might think
J. Bengtsson et al.
ECOSPHERE (2019)
Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results
Meisam Amani et al.
REMOTE SENSING (2019)
The Comparison of Different Methods of Texture Analysis for Their Efficacy for Land Use Classification in Satellite Imagery
Przemyslaw Kupidura
REMOTE SENSING (2019)
Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations
Aaron E. Maxwell et al.
REMOTE SENSING (2019)
Monitoring of Urbanization and Analysis of Environmental Impact in Stockholm with Sentinel-2A and SPOT-5 Multispectral Data
Dorothy Furberg et al.
REMOTE SENSING (2019)
Evaluation of Using Sentinel-1 and-2 Time-Series to Identify Winter Land Use in Agricultural Landscapes
Julien Denize et al.
REMOTE SENSING (2019)
Automatic Land-Cover Mapping using Landsat Time-Series Data based on Google Earth Engine
Shuai Xie et al.
REMOTE SENSING (2019)
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
Phan Thanh Noi et al.
SENSORS (2018)
Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series
Txomin Hermosilla et al.
CANADIAN JOURNAL OF REMOTE SENSING (2018)
Implementation of machine-learning classification in remote sensing: an applied review
Aaron E. Maxwell et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
Land cover 2.0
Michael A. Wulder et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
Using Google Earth Engine to Map Complex Shade-Grown Coffee Landscapes in Northern Nicaragua
Lisa C. Kelley et al.
REMOTE SENSING (2018)
Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series
Txomin Hermosilla et al.
CANADIAN JOURNAL OF REMOTE SENSING (2018)
Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong
Yuhao Jin et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
Pardhasaradhi Teluguntla et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)
Estimating smallholder crops production at village level from Sentinel-2 time series in Mali's cotton belt
Marie-Julie Lambert et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Land Cover Change in the Lower Yenisei River Using Dense Stacking of Landsat Imagery in Google Earth Engine
Kelsey E. Nyland et al.
REMOTE SENSING (2018)
A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in-situ data
Benjamin Mack et al.
REMOTE SENSING LETTERS (2017)
Hyperspectral Image Classification With Rotation Random Forest Via KPCA
Junshi Xia et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)
Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery
Masoud Mandianpari et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)
Phenology-adaptive pixel-based compositing using optical earth observation imagery
David Frantz et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Noel Gorelick et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Obtaining rubber plantation age information from very dense Landsat TM & ETM plus time series data and pixel-based image compositing
Philip Beckschaefer
REMOTE SENSING OF ENVIRONMENT (2017)
Remote Sensing of Above-Ground Biomass
Lalit Kumar et al.
REMOTE SENSING (2017)
Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series
Jordi Inglada et al.
REMOTE SENSING (2017)
The first all-season sample set for mapping global land cover with Landsat-8 data
Congcong Li et al.
SCIENCE BULLETIN (2017)
Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery
Fulgencio Canovas-Garcia et al.
COMPUTERS & GEOSCIENCES (2017)
Exploring linked ecological and cultural tipping points in Mongolia
Maria E. Fernandez-Gimenez et al.
ANTHROPOCENE (2017)
The global Landsat archive: Status, consolidation, and direction
Michael A. Wulder et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity
D. P. Roy et al.
REMOTE SENSING OF ENVIRONMENT (2016)
A Comparison of Machine Learning Algorithms for Mapping of Complex Surface-Mined and Agricultural Landscapes Using ZiYuan-3 Stereo Satellite Imagery
Xianju Li et al.
REMOTE SENSING (2016)
Mapping Complex Urban Land Cover from Spaceborne Imagery: The Influence of Spatial Resolution, Spectral Band Set and Classification Approach
Rahman Momeni et al.
REMOTE SENSING (2016)
Importance of vegetation dynamics for future terrestrial carbon cycling
Anders Ahlstrom et al.
ENVIRONMENTAL RESEARCH LETTERS (2015)
Land use and land cover change impacts on the regional climate of non-Amazonian South America: A review
Alvaro Salazar et al.
GLOBAL AND PLANETARY CHANGE (2015)
Mongolian rangelands at a tipping point? Biomass and cover are stable but composition shifts and richness declines after 20 years of grazing and increasing temperatures
J. Khishigbayar et al.
JOURNAL OF ARID ENVIRONMENTS (2015)
Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery
Cornelius Senf et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Fusing Landsat and SAR time series to detect deforestation in the tropics
Johannes Reiche et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Mapping US Urban Extents from MODIS Data Using One-Class Classification Method
Bo Wan et al.
REMOTE SENSING (2015)
On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping
Koreen Millard et al.
REMOTE SENSING (2015)
Assessment of land-use and land-cover changes from 1965 to 2014 in Tam Giang-Cau Hai Lagoon, central Vietnam
Leonardo Disperati et al.
APPLIED GEOGRAPHY (2015)
Dynamics and Resilience of Rangelands and Pastoral Peoples Around the Globe
Robin S. Reid et al.
ANNUAL REVIEW OF ENVIRONMENT AND RESOURCES, VOL 39 (2014)
Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models
Victor F. Rodriguez-Galiano et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2014)
Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks
Claudia Kuenzer et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2014)
Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers
Elfatih M. Abdel-Rahman et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)
Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data
Sybrand van Beijma et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Landsat-8: Science and product vision for terrestrial global change research
D. P. Roy et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Continuous change detection and classification of land cover using all available Landsat data
Zhe Zhu et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
Gudina L. Feyisa et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Land cover classification using Landsat 8 Operational Land Imager data in Beijing, China
Kun Jia et al.
GEOCARTO INTERNATIONAL (2014)
Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping
Patrick Griffiths et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2013)
Climate extremes and the carbon cycle
Markus Reichstein et al.
NATURE (2013)
Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data
Qinchuan Xin et al.
REMOTE SENSING OF ENVIRONMENT (2013)
The impact of global land-cover change on the terrestrial water cycle
Shannon M. Sterling et al.
NATURE CLIMATE CHANGE (2013)
A multi-criteria approach for an integrated land-cover-based assessment of ecosystem services provision to support landscape planning
Lars Koschke et al.
ECOLOGICAL INDICATORS (2012)
An Evaluation of Bagging, Boosting, and Random Forests for Land-Cover Classification in Cape Cod, Massachusetts, USA
Bardan Ghimire et al.
GISCIENCE & REMOTE SENSING (2012)
Cross-boundary and cross-level dynamics increase vulnerability to severe winter disasters (dzud) in Mongolia
Maria E. Fernandez-Gimenez et al.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS (2012)
Measuring the Impacts of Community-based Grasslands Management in Mongolia's Gobi
Craig Leisher et al.
PLOS ONE (2012)
Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data
Zhe Zhu et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Revisiting land cover observation to address the needs of the climate modeling community
S. Bontemps et al.
BIOGEOSCIENCES (2012)
A Large and Persistent Carbon Sink in the World's Forests
Yude Pan et al.
SCIENCE (2011)
Wetland mapping in the Congo Basin using optical and radar remotely sensed data and derived topographical indices
Jean-Robert B. Bwangoy et al.
REMOTE SENSING OF ENVIRONMENT (2010)
Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate
Christian Beer et al.
SCIENCE (2010)
Large African herbivores decrease herbaceous plant biomass while increasing plant species richness in a semi-arid savanna toposequence
Shayne M. Jacobs et al.
JOURNAL OF ARID ENVIRONMENTS (2008)
Landsat continuity: Issues and opportunities for land cover monitoring
Michael A. Wulder et al.
REMOTE SENSING OF ENVIRONMENT (2008)
A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin
Matthew C. Hansen et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
Hanqiu Xu
INTERNATIONAL JOURNAL OF REMOTE SENSING (2006)
The Global Earth Observation System of Systems: Science Serving Society
CC Lautenbacher
SPACE POLICY (2006)
Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy
GM Foody
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2004)
Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
Y Zha et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2003)
Diversity and productivity in a long-term grassland experiment
D Tilman et al.
SCIENCE (2001)