Related references
Note: Only part of the references are listed.Monitoring of land use land cover dynamics and prediction of urban growth using Land Change Modeler in Delhi and its environs, India
Bhavna Singh et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022)
Geoscience-aware deep learning: A new paradigm for remote sensing
Yong Ge et al.
SCIENCE OF REMOTE SENSING (2022)
Multi-spectral remote sensing land-cover classification based on deep learning methods
Tongdi He et al.
JOURNAL OF SUPERCOMPUTING (2021)
Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system
Peng Dou et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)
Fast and accurate land cover classification on medium resolution remote sensing images using segmentation models
Wei Zhang et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2021)
Assessment of Deep Learning Techniques for Land Use Land Cover Classification in Southern New Caledonia
Guillaume Rousset et al.
REMOTE SENSING (2021)
Continuous monitoring of land change activities and post-disturbance dynamics from Landsat time series: A test methodology for REDD plus reporting
Paulo Arevalo et al.
REMOTE SENSING OF ENVIRONMENT (2020)
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)
Characterizing land cover/land use from multiple years of Landsat and MODIS time series: A novel approach using land surface phenology modeling and random forest classifier
Lan H. Nguyen et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Scale Sequence Joint Deep Learning (SS-JDL) for land use and land cover classification
Ce Zhang et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Deep learning in environmental remote sensing: Achievements and challenges
Qiangqiang Yuan et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China
Shengjie Liu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Quantitative and Qualitative Analysis of Time-Series Classification Using Deep Learning
Saba Ale Ebrahim et al.
IEEE ACCESS (2020)
Very High Resolution Remote Sensing Imagery Classification Using a Fusion of Random Forest and Deep Learning Technique-Subtropical Area for Example
Luofan Dong et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn
Roberto Interdonato et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Deep learning and process understanding for data-driven Earth system science
Markus Reichstein et al.
NATURE (2019)
Joint Deep Learning for land cover and land use classification
Ce Zhang et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Deep learning based multi-temporal crop classification
Liheng Zhong et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
Charlotte Pelletier et al.
REMOTE SENSING (2019)
Deep learning in remote sensing applications: A meta-analysis and review
Lei Ma et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning
Haoyu Wang et al.
REMOTE SENSING (2019)
Annual land-cover mapping based on multi-temporal cloud-contaminated landsat images
Shuai Xie et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2019)
Object-oriented satellite image time series analysis using a graph-based representation
Lynda Khiali et al.
ECOLOGICAL INFORMATICS (2018)
When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs
Gong Cheng et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks
Atharva Sharma et al.
NEURAL NETWORKS (2018)
Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis
Mariana Belgiu et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Landsat-Based Land Use Change Assessment in the Brazilian Atlantic Forest: Forest Transition and Sugarcane Expansion
Alindomar Lacerda Silva et al.
REMOTE SENSING (2018)
Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data
Haobo Lyu et al.
REMOTE SENSING (2018)
Land Cover Classification Using Integrated Spectral, Temporal, and Spatial Features Derived from Remotely Sensed Images
Yongguang Zhai et al.
REMOTE SENSING (2018)
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders
Marc Russwurm et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2018)
Mapping Damage-Affected Areas after Natural Hazard Events Using Sentinel-1 Coherence Time Series
Stephanie Olen et al.
REMOTE SENSING (2018)
Modeling plant composition as community continua in a forest landscape with LiDAR and hyperspectral remote sensing
C. R. Hakkenberg et al.
ECOLOGICAL APPLICATIONS (2018)
Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks
Dino Ienco et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
Nataliia Kussul et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Barest Pixel Composite for Agricultural Areas Using Landsat Time Series
Sanne Diek 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)
Repurposing a deep learning network to filter and classify volunteered photographs for land cover and land use characterization
Lukasz Tracewski et al.
GEO-SPATIAL INFORMATION SCIENCE (2017)
Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks
Dimitrios Marmanis et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)
An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data
Yang Shao et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Methods to Quantify Regional Differences in Land Cover Change
Alexis Comber et al.
REMOTE SENSING (2016)
Comparative Analysis of MODIS Time-Series Classification Using Support Vector Machines and Methods Based upon Distance and Similarity Measures in the Brazilian Cerrado-Caatinga Boundary
Natanael Antunes Abade et al.
REMOTE SENSING (2015)
Spatio-temporal dynamics of regulating ecosystem services in Europe - The role of past and future land use change
Julia Sturck et al.
APPLIED GEOGRAPHY (2015)
Dynamic monitoring of wetland cover changes using time-series remote sensing imagery
Lifan Chen et al.
ECOLOGICAL INFORMATICS (2014)
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
Peng Gong et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2013)
Landsat continuity: Issues and opportunities for land cover monitoring
Michael A. Wulder et al.
REMOTE SENSING OF ENVIRONMENT (2008)
GLC2000:: a new approach to global land cover mapping from Earth observation data
E Bartholomé et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)