Remote sensing of coastlines: detection, extraction and monitoring
R Gens - International Journal of Remote Sensing, 2010 - Taylor & Francis
This paper reviews the current status of the use of remote sensing for the detection,
extraction and monitoring of coastlines. The review takes the US system as an example …
extraction and monitoring of coastlines. The review takes the US system as an example …
Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection
F Zhang, X Yang - Remote Sensing of Environment, 2020 - Elsevier
Land cover mapping in complex environments can be challenging due to their landscape
heterogeneity. With the increasing availability of various open-access remotely sensed …
heterogeneity. With the increasing availability of various open-access remotely sensed …
A new global coastal database for impact and vulnerability analysis to sea-level rise
AT Vafeidis, RJ Nicholls, L McFadden… - Journal of coastal …, 2008 - meridian.allenpress.com
A new global coastal database has been developed within the context of the DINAS-COAST
project. The database covers the world's coasts, excluding Antarctica, and includes …
project. The database covers the world's coasts, excluding Antarctica, and includes …
Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests
Using high-spatial-resolution multispectral imagery alone is insufficient for achieving highly
accurate and reliable thematic mapping of urban areas. Integration of lidar-derived elevation …
accurate and reliable thematic mapping of urban areas. Integration of lidar-derived elevation …
[图书][B] Remote sensing image fusion: A practical guide
C Pohl, J Van Genderen - 2016 - taylorfrancis.com
Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing
image fusion providing an overview on the sensors and applications. It describes data …
image fusion providing an overview on the sensors and applications. It describes data …
Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis
EW Bork, JG Su - Remote Sensing of Environment, 2007 - Elsevier
This study compared the suitability of LIDAR (LIght Detection And Ranging) data, three-band
multispectral data, and LIDAR data integrated with multispectral information, for classifying …
multispectral data, and LIDAR data integrated with multispectral information, for classifying …
Coastal and estuarine habitat mapping, using LIDAR height and intensity and multi-spectral imagery
The airborne laser scanning LIDAR (LIght Detection And Ranging) provides high-resolution
Digital Terrain Models (DTM) that have been applied recently to the characterization …
Digital Terrain Models (DTM) that have been applied recently to the characterization …
An overview of shoreline mapping by using airborne LiDAR
J Wang, L Wang, S Feng, B Peng, L Huang… - Remote Sensing, 2023 - mdpi.com
Since the shorelines are important geographical boundaries, monitoring shoreline change
plays an important role in integrated coastal management. With the evolution of remote …
plays an important role in integrated coastal management. With the evolution of remote …
A hybrid attention-aware fusion network (HAFNet) for building extraction from high-resolution imagery and LiDAR data
Automated extraction of buildings from earth observation (EO) data has long been a
fundamental but challenging research topic. Combining data from different modalities (eg …
fundamental but challenging research topic. Combining data from different modalities (eg …
[HTML][HTML] A framework combined stacking ensemble algorithm to classify crop in complex agricultural landscape of high altitude regions with Gaofen-6 imagery and …
Z Ma, W Li, TA Warner, C He, X Wang, Y Zhang… - International Journal of …, 2023 - Elsevier
Mapping crop distribution using satellite technology is an effective approach for gaining
information about food production over broad, regional scales. However, crop classification …
information about food production over broad, regional scales. However, crop classification …