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 …
Coastline extraction using remote sensing: A review
W Sun, C Chen, W Liu, G Yang, X Meng… - GIScience & Remote …, 2023 - Taylor & Francis
Coastlines are important basic geographic elements and mapping their spatial and attribute
changes can help monitor, model and manage coastal zones. Traditional studies focused on …
changes can help monitor, model and manage coastal zones. Traditional studies focused on …
[HTML][HTML] Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis
Efficient methodologies for mapping croplands are an essential condition for the
implementation of sustainable agricultural practices and for monitoring crops periodically …
implementation of sustainable agricultural practices and for monitoring crops periodically …
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …
been among the most devastated regions affected by the major floods. While the temporal …
First experiences in mapping lake water quality parameters with Sentinel-2 MSI imagery
The importance of lakes and reservoirs leads to the high need for monitoring lake water
quality both at local and global scales. The aim of the study was to test suitability of Sentinel …
quality both at local and global scales. The aim of the study was to test suitability of Sentinel …
Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine
Coastal wetlands, composed of coastal vegetation and non-vegetated tidal flats, play critical
roles in biodiversity conservation, food production, and the global economy. Coastal …
roles in biodiversity conservation, food production, and the global economy. Coastal …
A modified bare soil index to identify bare land features during agricultural fallow-period in southeast Asia using Landsat 8
CT Nguyen, A Chidthaisong, P Kieu Diem, LZ Huo - Land, 2021 - mdpi.com
Bare soil is a critical element in the urban landscape and plays an essential role in urban
environments. Yet, the separation of bare soil and other land cover types using remote …
environments. Yet, the separation of bare soil and other land cover types using remote …
Spatio-temporal fusion for daily Sentinel-2 images
Q Wang, PM Atkinson - Remote Sensing of Environment, 2018 - Elsevier
Abstract Sentinel-2 and Sentinel-3 are two newly launched satellites for global monitoring.
The Sentinel-2 Multispectral Imager (MSI) and Sentinel-3 Ocean and Land Colour …
The Sentinel-2 Multispectral Imager (MSI) and Sentinel-3 Ocean and Land Colour …
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
The Sentinel-2 satellite mission delivers multi-spectral imagery with 13 spectral bands,
acquired at three different spatial resolutions. The aim of this research is to super-resolve the …
acquired at three different spatial resolutions. The aim of this research is to super-resolve the …
[HTML][HTML] Google Earth Engine, open-access satellite data, and machine learning in support of large-area probabilistic wetland mapping
JN Hird, ER DeLancey, GJ McDermid, J Kariyeva - Remote sensing, 2017 - mdpi.com
Modern advances in cloud computing and machine-leaning algorithms are shifting the
manner in which Earth-observation (EO) data are used for environmental monitoring …
manner in which Earth-observation (EO) data are used for environmental monitoring …