Landsat-MODIS image fusion and object-based image analysis for observing flood inundation in a heterogeneous vegetated scene-Reference-Cited by-同舟云学术

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Landsat-MODIS image fusion and object-based image analysis for observing flood inundation in a heterogeneous vegetated scene

Published:2019-06-12 Issue:8 Volume:56 Page:1148-1169
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Dao Phuong D.¹²^ORCID,Mong Ngoc Thi³,Chan Hai-Po³^ORCID

Affiliation:

1. Department of Geography, University of Toronto, 3359 Mississauga Rd., Mississauga, Ontario L5L 1C6, Canada

2. School of the Environment, University of Toronto, 33 Willcocks Street, Toronto, Ontario M5S 3E8, Canada

3. Center for Space and Remote Sensing Research, National Central University, Jhongli 32001, Taiwan

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2019.1627062

Reference57 articles.

1. Quantifying changes in flooding and habitats in the Tonle Sap Lake (Cambodia) caused by water infrastructure development and climate change in the Mekong Basin

2. Object based image analysis for remote sensing

3. Natural resources management for human security in Cambodia’s Tonle Sap Biosphere Reserve

Cited by 27 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. Enhancing Flood Impact Analysis through the Integration of Landsat and MODIS Imagery;International Journal of Scientific Research in Science, Engineering and Technology;2024-04-22

2. Imaging spectroscopy reveals topographic variability effects on grassland functional traits and drought responses;2024-01-02

3. Remote sensing-based site suitability assessment and selection of Rabi crop cultivation areas following flood events;Geocarto International;2024-01

4. Flood Susceptibility Assessment through Statistical Models and HEC-RAS Analysis for Sustainable Management in Essaouira Province, Morocco;Geosciences;2023-12-12

5. SatVITS‐Flood: Satellite Vegetation Index Time Series Flood Detection Model for Hyperarid Regions;Water Resources Research;2023-09

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