Detecting, extracting, and monitoring surface water from space using optical sensors: A review
Observation of surface water is a functional requirement for studying ecological and
hydrological processes. Recent advances in satellite‐based optical remote sensors have …
hydrological processes. Recent advances in satellite‐based optical remote sensors have …
[HTML][HTML] An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards
To bring to fruition the capability of nature-based solutions (NBS) in mitigating hydro-
meteorological risks (HMRs) and facilitate their widespread uptake require a consolidated …
meteorological risks (HMRs) and facilitate their widespread uptake require a consolidated …
SwinSUNet: Pure transformer network for remote sensing image change detection
C Zhang, L Wang, S Cheng, Y Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Convolutional neural network (CNN) can extract effective semantic features, so it was widely
used for remote sensing image change detection (CD) in the latest years. CNN has acquired …
used for remote sensing image change detection (CD) in the latest years. CNN has acquired …
A spatial-temporal attention-based method and a new dataset for remote sensing image change detection
Remote sensing image change detection (CD) is done to identify desired significant
changes between bitemporal images. Given two co-registered images taken at different …
changes between bitemporal images. Given two co-registered images taken at different …
Water bodies' mapping from Sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the SWIR band
Monitoring open water bodies accurately is an important and basic application in remote
sensing. Various water body mapping approaches have been developed to extract water …
sensing. Various water body mapping approaches have been developed to extract water …
A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform
Due to rapid losses of mangrove forests caused by anthropogenic disturbances and climate
change, accurate and contemporary maps of mangrove forests are needed to understand …
change, accurate and contemporary maps of mangrove forests are needed to understand …
[HTML][HTML] Evaluation of water indices for surface water extraction in a Landsat 8 scene of Nepal
Accurate and frequent updates of surface water have been made possible by remote
sensing technology. Index methods are mostly used for surface water estimation which …
sensing technology. Index methods are mostly used for surface water estimation which …
Axial cross attention meets CNN: Bibranch fusion network for change detection
In the previous years, vision transformer has demonstrated a global information extraction
capability in the field of computer vision that convolutional neural network (CNN) lacks. Due …
capability in the field of computer vision that convolutional neural network (CNN) lacks. Due …
Investigating detection of floating plastic litter from space using sentinel-2 imagery
Plastic litter floating in the ocean is a significant problem on a global scale. This study
examines whether Sentinel-2 satellite images can be used to identify plastic litter on the sea …
examines whether Sentinel-2 satellite images can be used to identify plastic litter on the sea …
Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine
Climate and land use/cover change are among the most pervasive issues facing the
Southeastern United States, including the Savannah River basin in South Carolina and …
Southeastern United States, including the Savannah River basin in South Carolina and …