Global WaterPack - MODIS - Yearly

The Global WaterPack is a dataset containing information about open surface water cover parameters on a global scale. The water detection is derived from daily, operational MODIS datasets for every year since 2003. The negative effects of polar darkness and cloud coverage are compensated by applying interpolation processing steps. Thereby, a unique global dataset can be provided that is characterized by its high temporal resolution of one day and a spatial resolution of 250 meter. This collection includes yearly composites of the dataset with information on how often a pixel was detected as open surface water with pixel values between 0 and 365 (366 for leap years). Furthermore, a reliability layer provides information on the quality of each Global WaterPack pixel.

Citation proposal
German Aerospace Center (DLR). Global WaterPack - MODIS - Yearly. https://gdk.gdi-de.org/geonetwork/srv/api/records/0ddfe10d-fd66-4419-bf52-6d519ff44775

Simple

Date ( Creation ): 2023-06-28T10:48:00

Edition

Identifier: https://geoservice.dlr.de/catalogue/srv/metadata/0ddfe10d-fd66-4419-bf52-6d519ff44775

Presentation form: Digital map

Other citation details: DOI: 10.15489/bv9z3b59iu12

Status: Completed

Point of contact

German Aerospace Center (DLR)

Author

German Aerospace Center (DLR) -

Point of contact

German Aerospace Center (DLR)

Maintenance and update frequency: As needed

GEMET - INSPIRE themes, version 1.0 ( Theme )

Land cover
Hydrography

Spatial scope ( Place )

Global

Keywords

MODIS
Terra
Aqua
Global
water bodies
water dynamics
water extent
opendata

Use limitation: Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use.

Access constraints: Other restrictions

Use constraints: Other restrictions

Other constraints: Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0 / Terms of use: License, https://creativecommons.org/licenses/by/4.0

Other constraints

{"id": "cc-by-4.0",

"name": "Creative Commons Namensnennung – 4.0 International (CC BY 4.0)",

"url": "http://dcat-ap.de/def/licenses/cc-by/4.0",

"quelle": "Copyright DLR (year of production)"}

Spatial representation type: Grid

Denominator: 500000

Metadata language: English

Character set: UTF8

Topic category

Imagery base maps earth cover
Inland waters

Number of dimensions: 2

Dimension name: Column

Dimension size: 172800

Resolution: 250 m

Dimension name: Row

Dimension size: 67200

Resolution: 250 m

Cell geometry: Area

Transformation parameter availability: false

Distribution format

GeoTIFF ( )

Specification

OnLine resource: Global WaterPack (GWP) DLR information page
Webpage with additional information on the Global WaterPack (GWP)

OnLine resource: EOC Geoservice Map Context
EOC Geoservice Map Context (eoc:gwp:yearly)

OnLine resource: GWP_P1Y
Global WaterPack Yearly

OnLine resource: GWP_REL_P1Y
Global WaterPack Yearly - Reliability

OnLine resource: https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS&REQUEST=GetCapabilities

OnLine resource: HTTP download Global WaterPack - MODIS - Yearly
HTTP download Global WaterPack - MODIS - Yearly

OnLine resource: EOC STAC Collection
EOC STAC Collection

Hierarchy level: Dataset

Domain consistency

Measure identification: INSPIRE / Conformity_001

Conformance result

Date ( Publication ): 2010-12-08

Explanation: See the referenced specification.

Pass: true

Statement: The main input datasets are daily MODIS products MOD09GQ and MYD09GQ at 250m and MOD10A1 and MYD10A1 at 500m spatial resolution. Additional auxiliary datasets, such as DEM, MOD44W and the ESA-CCI Water Bodies Map v4.0 are included within the pre- and postprocessing. For more information please refer to Klein et al. 2017.

Description: The main classification step is based on an automatic dynamic thresholding based daily data input. In a second step, a temporal interpolation is performed for all pixels which were covered by clouds or had low quality. For more information please refer to Klein et al. 2017.