Hindcast and forecast of daily inundation extents using satellite SAR and altimetry data with rotated empirical orthogonal function analysis: Case study in Tonle Sap Lake Floodplain-Reference-Cited by-同舟云学术

Hindcast and forecast of daily inundation extents using satellite SAR and altimetry data with rotated empirical orthogonal function analysis: Case study in Tonle Sap Lake Floodplain

Published:2020-05 Issue: Volume:241 Page:111732
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Chang Chi-Hung,Lee Hyongki,Kim Donghwan,Hwang Euiho,Hossain Faisal,Chishtie Farrukh^ORCID,Jayasinghe Susantha,Basnayake Senaka

Funder

NASA

Ministry of Environment

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference127 articles.

1. Jason-2 global statistical assessment and cross-calibration with Jason-1;Ablain;Mar. Geod.,2010

2. Hydrological and water resources modelling in the Mekong region: a brief overview;Adamson,2006

3. A MODIS-based automated flood monitoring system for southeast asia;Ahamed;Int. J. Appl. Earth Obs. Geoinf.,2017

4. A fusion approach for water area classification using visible, near infrared and synthetic aperture radar for South Asian conditions;Ahmad;IEEE Trans. Geosci. Remote Sens.,2019

5. Unsupervised rapid flood mapping using Sentinel-1 GRD SAR images;Amitrano;IEEE Trans. Geosci. Remote Sens.,2018

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dense Time Series Generation of Surface Water Extents through Optical–SAR Sensor Fusion and Gap Filling;Remote Sensing;2024-04-03

2. Leveraging high resolution classifications and random forests for hindcasting decades of mesic ecosystem dynamics in the Landsat time series;Ecological Indicators;2024-01

3. Monitoring monthly variation of Tonle Sap Lake water volume using Sentinel-1 imagery and satellite altimetry data;Vietnam Journal of Earth Sciences;2023-09-13

4. Supercharging hydrodynamic inundation models for instant flood insight;Nature Water;2023-09-11

5. Characterizing the 2020 summer floods in South China and effects on croplands;iScience;2023-07