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Multitemporal Remote Sensing Methods and Applications /
Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time s...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Remote Sensing and Digital Image Processing,
20 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Multitemporal remote sensing: Current status, trends and challenges
- Change detection techniques: A review
- Change detection in urban areas: Spatial and temporal scales
- Change detection in multitemporal hyperspectral images
- Object-based change detection in urban areas using multitemporal high resolution SAR images with unsupervised thresholding algorithms
- Fusion of multitemporal spaceborne SAR and optical data for urban mapping and urbanization monitoring
- Post-classification change detection in Arctic glaciers by multi-polarization SAR
- Interferometric SAR multitemporal processing: Techniques and applications
- TIMESAT for processing time-series data from satellite sensors for land surface monitoring
- PhenoSat - A tool for remote sensing based analysis of vegetation dynamics
- Temporal techniques in remote sensing of global vegetation
- Soil moisture dynamics estimated from MODIS time series images
- Temporal analysis of remotely sensed land surface shortwave Albedo
- Observing the response of terrestrial vegetation to climate variability across a range of time scales by time series analysis of land surface temperature
- A review of multitemporal synthetic aperture radar (SAR) for crop monitoring
- An approach for determining relationships between disturbance and habitat selection using bi-weekly synthetic images and telemetry data
- Multitemporal remote sensing for inland water bodies and wetland monitoring
- Global land surface water mapping and analysis at 30m spatial resolution for years 2000 and 2010
- Multitemporal remote sensing of coastal waters
- Monitoring long-term disaster recovery - Space and ground views.