Erscheinungsjahr
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Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
Freier ZugriffTaylor & Francis Verlag | 2020| -
Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework
Freier ZugriffTaylor & Francis Verlag | 2017| -
Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities
Freier ZugriffTaylor & Francis Verlag | 2018| -
Remote sensing for wetland classification: a comprehensive review
Freier ZugriffTaylor & Francis Verlag | 2018| -
A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland
Freier ZugriffTaylor & Francis Verlag | 2020| -
Landsat-8 vs. Sentinel-2: examining the added value of sentinel-2’s red-edge bands to land-use and land-cover mapping in Burkina Faso
Freier ZugriffTaylor & Francis Verlag | 2018| -
Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District
Freier ZugriffTaylor & Francis Verlag | 2019| -
Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application
Freier ZugriffTaylor & Francis Verlag | 2018| -
Assessing the suitability of data from Sentinel-1A and 2A for crop classification
Freier ZugriffTaylor & Francis Verlag | 2017| -
Deep learning-based water quality estimation and anomaly detection using Landsat-8/Sentinel-2 virtual constellation and cloud computing
Freier ZugriffTaylor & Francis Verlag | 2020| -
Evaluating and comparing Sentinel 2A and Landsat-8 Operational Land Imager (OLI) spectral indices for estimating fire severity in a Mediterranean pine ecosystem of Greece
Freier ZugriffTaylor & Francis Verlag | 2018| -
Multiple intra-urban land use simulations and driving factors analysis: a case study in Huicheng, China
Freier ZugriffTaylor & Francis Verlag | 2019| -
Mapping Rice Paddies in Complex Landscapes with Convolutional Neural Networks and Phenological Metrics
Freier ZugriffTaylor & Francis Verlag | 2020| -
Statistical analysis of surface urban heat island intensity variations: A case study of Babol city, Iran
Freier ZugriffTaylor & Francis Verlag | 2019| -
Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud
Freier ZugriffTaylor & Francis Verlag | 2020| -
Built-up area extraction using Landsat 8 OLI imagery
Freier ZugriffTaylor & Francis Verlag | 2014| -
Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules
Freier ZugriffTaylor & Francis Verlag | 2018| -
Small Unmanned Aerial Systems (sUAS) for environmental remote sensing: challenges and opportunities revisited
Freier ZugriffTaylor & Francis Verlag | 2019| -
Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions
Freier ZugriffTaylor & Francis Verlag | 2015| -
Estimating ground-level particulate matter concentrations using satellite-based data: a review
Freier ZugriffTaylor & Francis Verlag | 2020| -
Application of machine learning techniques in groundwater potential mapping along the west coast of India
Freier ZugriffTaylor & Francis Verlag | 2020| -
Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach
Freier ZugriffTaylor & Francis Verlag | 2021| -
Multi-scale remote sensing to support insurance policies in agriculture: from mid-term to instantaneous deductions
Freier ZugriffTaylor & Francis Verlag | 2020| -
Wetland classification in Newfoundland and Labrador using multi-source SAR and optical data integration
Freier ZugriffTaylor & Francis Verlag | 2017| -
Mining parameter information for building extraction and change detection with very high-resolution imagery and GIS data
Freier ZugriffTaylor & Francis Verlag | 2017| -
Large-scale urban functional zone mapping by integrating remote sensing images and open social data
Freier ZugriffTaylor & Francis Verlag | 2020| -
Spatial data, analysis approaches, and information needs for spatial ecosystem service assessments: a review
Freier ZugriffTaylor & Francis Verlag | 2015| -
Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities
Freier ZugriffTaylor & Francis Verlag | 2021| -
Use of Local Climate Zones to investigate surface urban heat islands in Texas
Freier ZugriffTaylor & Francis Verlag | 2020| -
Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors
Freier ZugriffTaylor & Francis Verlag | 2021| -
Bathymetry retrieval from optical images with spatially distributed support vector machines
Freier ZugriffTaylor & Francis Verlag | 2019| -
Developing a satellite-based combined drought indicator to monitor agricultural drought: a case study for Ethiopia
Freier ZugriffTaylor & Francis Verlag | 2019| -
Long-short-term-memory-based crop classification using high-resolution optical images and multi-temporal SAR data
Freier ZugriffTaylor & Francis Verlag | 2019| -
Forecasting China’s GDP at the pixel level using nighttime lights time series and population images
Freier ZugriffTaylor & Francis Verlag | 2017| -
Estimation of soil moisture using deep learning based on satellite data: a case study of South Korea
Freier ZugriffTaylor & Francis Verlag | 2019| -
Spatial and temporal variations of spatial population accessibility to public hospitals: a case study of rural–urban comparison
Freier ZugriffTaylor & Francis Verlag | 2018| -
Understanding satellite-derived bathymetry using Sentinel 2 imagery and spatial prediction models
Freier ZugriffTaylor & Francis Verlag | 2020| -
Analysis of urban growth and estimating population density using satellite images of nighttime lights and land-use and population data
Freier ZugriffTaylor & Francis Verlag | 2015| -
Integrating the multi-label land-use concept and cellular automata with the artificial neural network-based Land Transformation Model: an integrated ML-CA-LTM modeling framework
Freier ZugriffTaylor & Francis Verlag | 2017| -
Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia
Freier ZugriffTaylor & Francis Verlag | 2020| -
A literature synthesis of LiDAR applications in transportation: feature extraction and geometric assessments of highways
Freier ZugriffTaylor & Francis Verlag | 2019| -
Modeling the spatial variation of urban land surface temperature in relation to environmental and anthropogenic factors: a case study of Tehran, Iran
Freier ZugriffTaylor & Francis Verlag | 2020| -
RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up
Freier ZugriffTaylor & Francis Verlag | 2021|
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