Mapping Floods in Lowland Forest Using Sentinel-1 and Sentinel-2 Data and an Object-Based Approach

Mapping Floods in Lowland Forest Using Sentinel-1 and Sentinel-2 Data and an Object-Based Approach

The impact of floods on forests is immediate, so it is necessary to quickly define the boundaries of flooded areas. Determining the extent of flooding in situ has shortcomings due to the possible limited spatial and temporal resolutions of data and the cost of data collection. Therefore, this resear...

Full description

Bibliographic Details
Main Authors:	Mateo Gašparović, Damir Klobučar
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Forests
Subjects:	rapid mapping floods forests machine learning Sentinel-1 Sentinel-2
Online Access:	https://www.mdpi.com/1999-4907/12/5/553

Similar Items

Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest
by: Edoardo Fiorillo, et al.
Published: (2020-10-01)

Mapping of the Canopy Openings in Mixed Beech–Fir Forest at Sentinel-2 Subpixel Level Using UAV and Machine Learning Approach
by: Ivan Pilaš, et al.
Published: (2020-11-01)

Flood Mapping in Vegetated Areas Using an Unsupervised Clustering Approach on Sentinel-1 and -2 Imagery
by: Lisa Landuyt, et al.
Published: (2020-11-01)

Multi-Temporal Sentinel-1 SAR and Sentinel-2 MSI Data for Flood Mapping and Damage Assessment in Mozambique
by: Manuel Nhangumbe, et al.
Published: (2023-02-01)

Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data
by: Ali Jamali, et al.
Published: (2021-10-01)

An era of Sentinels in flood management: Potential of Sentinel-1, -2, and -3 satellites for effective flood management
by: Kuntla Sai Kiran
Published: (2021-12-01)

Irrigation Mapping on Two Contrasted Climatic Contexts Using Sentinel-1 and Sentinel-2 Data
by: Ehsan Elwan, et al.
Published: (2022-03-01)

Joint use of Sentinel-2 and Sentinel-1 data for rapid mapping of volcanic eruption deposits in Southeast Asia
by: Aiym Orynbaikyzy, et al.
Published: (2023-02-01)

OmbriaNet—Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion
by: Georgios I. Drakonakis, et al.
Published: (2022-01-01)

European Wide Forest Classification Based on Sentinel-1 Data
by: Alena Dostálová, et al.
Published: (2021-01-01)

Mapping Canopy Cover in African Dry Forests from the Combined Use of Sentinel-1 and Sentinel-2 Data: Application to Tanzania for the Year 2018
by: Astrid Verhegghen, et al.
Published: (2022-03-01)

An Intercomparison of Sentinel-1 Based Change Detection Algorithms for Flood Mapping
by: Mark Edwin Tupas, et al.
Published: (2023-02-01)

The Copernicus EMS Validation service as a vector for improving the emergency mapping based on Sentinel data
by: U. Donezar-Hoyos, et al.
Published: (2020-11-01)

Flood mapping of the lower Mejerda Valley (Tunisia) using Sentinel-1 SAR: geological and geomorphological controls on flood hazard
by: Lamia Khemiri, et al.
Published: (2024-01-01)

Mapping Flood Extent and Frequency from Sentinel-1 Imagery during the Extremely Warm Winter of 2020 in Boreal Floodplains and Forests
by: Liis Sipelgas, et al.
Published: (2021-12-01)

Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods
by: Zhilong Xi, et al.
Published: (2022-01-01)

DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images
by: Jiawei Jiang, et al.
Published: (2022-10-01)

Sentinel-1 Spatiotemporal Simulation Using Convolutional LSTM for Flood Mapping
by: Noel Ivan Ulloa, et al.
Published: (2022-01-01)

High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data
by: Wang Li, et al.
Published: (2020-10-01)

Flood inundation maps using Sentinel-2: a case study in Berdan Plain
by: Şerife Pınar Güvel, et al.
Published: (2022-04-01)

Mapping subcanopy light regimes in temperate mountain forests from Airborne Laser Scanning, Sentinel-1 and Sentinel-2
by: Felix Glasmann, et al.
Published: (2023-12-01)

High Spatiotemporal Flood Monitoring Associated with Rapid Lake Shrinkage Using Planet Smallsat and Sentinel-1 Data
by: Satomi Kimijima, et al.
Published: (2023-02-01)

Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model
by: Rami Al-Ruzouq, et al.
Published: (2024-05-01)

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
by: Martin Schwartz, et al.
Published: (2024-04-01)

Reliable Crops Classification Using Limited Number of Sentinel-2 and Sentinel-1 Images
by: Beata Hejmanowska, et al.
Published: (2021-08-01)

Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data
by: Lin Chen, et al.
Published: (2019-02-01)

Mapping Maize Area in Heterogeneous Agricultural Landscape with Multi-Temporal Sentinel-1 and Sentinel-2 Images Based on Random Forest
by: Yansi Chen, et al.
Published: (2021-07-01)

Detection of Temporary Flooded Vegetation Using Sentinel-1 Time Series Data
by: Viktoriya Tsyganskaya, et al.
Published: (2018-08-01)

Improvement of Lithological Mapping Using Discrete Wavelet Transformation from Sentinel-1 SAR Data
by: Senmiao Guo, et al.
Published: (2022-11-01)

Automatic 10 m Forest Cover Mapping in 2020 at China’s Han River Basin by Fusing ESA Sentinel-1/Sentinel-2 Land Cover and Sentinel-2 near Real-Time Forest Cover Possibility
by: Xia Wang, et al.
Published: (2023-05-01)

Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam
by: Ben Spracklen, et al.
Published: (2021-01-01)

Flood mapping using hydraulic modeling and Sentinel-1 image: Case study of Medjerda Basin, northern Tunisia
by: Ahmed Ezzine, et al.
Published: (2020-12-01)

Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube
by: Bernhard Bauer-Marschallinger, et al.
Published: (2022-07-01)

Mapping Paddy Cropland in Guntur District using Machine Learning and Google Earth Engine utilizing Images from Sentinel-1 and Sentinel-2
by: Pureti Siva Nagendram, et al.
Published: (2023-12-01)

Collaborative Utilization of Sentinel-1/2 and DEM Data for Mapping the Soil Organic Carbon in Forested Areas Based on the Random Forest
by: Zeqiang Wang, et al.
Published: (2024-01-01)

Mozambique Flood (2019) Caused by Tropical Cyclone Idai Monitored From Sentinel-1 and Sentinel-2 Images
by: Jinyun Guo, et al.
Published: (2021-01-01)

Mapping forest and site quality of planted Chinese fir forest using sentinel images
by: Chongjian Tang, et al.
Published: (2022-10-01)

Managing Flood Hazard in a Complex Cross-Border Region Using Sentinel-1 SAR and Sentinel-2 Optical Data: A Case Study from Prut River Basin (NE Romania)
by: Cătălin I. Cîmpianu, et al.
Published: (2021-12-01)

A novel change detection and threshold-based ensemble of scenarios pyramid for flood extent mapping using Sentinel-1 data
by: Ezra Pedzisai, et al.
Published: (2023-03-01)

Fusion of Sentinel-1 data with Sentinel-2 products to overcome non-favourable atmospheric conditions for the delineation of inundation maps
by: Ioannis Manakos, et al.
Published: (2020-07-01)