Article

Global WaterPack – A 250m resolution dataset revealing the daily dynamics of global inland water bodies

2017-09-01

Abstract excerpt

Knowledge about inland surface water distribution and its short- to long-term variability is of high importance. Recently many studies have presented interesting results at regional, continental and global scale with 14.25m to 25km spatial and 10day to one year temporal resolution. However, surface inland water bodies can feature temporally rapid spatial changes caused by extreme events, seasonal variability as we...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 28dbe5ea-79c2-57ee-8776-b5022a7a7480
DOI: 10.1016/j.rse.2017.06.045

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Global WaterPack – A 250m resolution dataset revealing the daily dynamics of global inland water bodiesDOI 10.1016/j.rse.2017.06.045Read

A near real-time water surface detection method based on HSV transformation of MODIS multi-spectral time series dataSemantic proximity Read

Dynamic surface water maps of Canada from 1984 to 2019 Landsat satellite imagerySemantic proximity Read

Temporal and Spatial Dynamics of Drought in Central Asia during 2002-2017 Based on Grace DataSemantic proximity Read

IWU-SMinv v1.0 and v1.1: Two satellite-based irrigation water use datasets at 1 km spatial resolution over EuropeSemantic proximity Read

Automatic Multi-Temporal Land Cover Mapping with Fine Spatial Resolution Using the Model Migration MethodSemantic proximity Read

How much inundation occurs in the Amazon River basin?Semantic proximity Read

A new high spatial resolution low stratus/fog retrieval for the Atacama DesertSemantic proximity Read

Regional-scale hydrological monitoring of wetlands with Sentinel-1 InSAR observations: Case study of the South Florida EvergladesSemantic proximity Read

Changes in length of day caused by terrestrial water storageSemantic proximity Read

Greenness in semi-arid areas across the globe 1981–2007 — an Earth Observing Satellite based analysis of trends and driversSemantic proximity Read

Object-Based Land Use and Land Cover Change Detection in Multi Temporal Remote-Sensing ImagesSemantic proximity Read

AutoCloud+, a “Universal” Physical and Statistical Model-Based 2D Spatial Topology-Preserving Software Toolbox for Cloud/Cloud-Shadow Detection in Multi-Sensor Single-Date Earth Observation Multi-Spectral Imagery Eligible for Systematic ESA EO Level 2 Product GenerationSemantic proximity Read