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climate stations fog

Datasets collected by subproject: C6 Development of area-wide functional indicators using remotely sensed data..

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1-7 of 7 datasets.

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» Coordinates of scintilometer towers created by: Brenner Silva (last update: 2017-05-18)

» Scintillometer measurements on pasture created by: Brenner Silva (last update: 2017-03-07)

» Mode of vegetation heigh in the vertical density function created by: Brenner Silva (last update: 2016-02-22)

» Discrete Vertical Distribution Ratio created by: Brenner Silva (last update: 2016-02-22)

» CHM 1m (LiDAR) San Francisco basin created by: Brenner Silva, Joerg Zeilinger, Jörg Bendix (last update: 2021-08-12)

» DSM 1m (derived from LiDAR survey) created by: Brenner Silva, Joerg Zeilinger, Thomas Lotz (last update: 2021-08-12)

» DTM 1m (derived from LiDAR survey) created by: Brenner Silva, Joerg Zeilinger, Thomas Lotz (last update: 2021-08-12)

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Coordinates of scintilometer towers

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Dataset ID: 1574

Last updated: 2017-05-18

Dataset creators: Brenner Silva

Contact: Brenner Silva
Jörg Bendix

Temporal coverage: 2017-05-18 00:00:00 - 2017-05-18 00:00:00 - time zone: -5

Geographic coverage: San francisco basin

Abstract: ---

Abstract:

Additional info: ---

Additional info:

Keywords: | shape | Scintilometer | coordinates | tower |

Intellectual rights: PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)

Entity name: scintilometertowerstations

Entity info: Location in shape files of the scintilometer towers

Entity type: otherEntity

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Scintillometer measurements on pasture

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Dataset ID: 1553

Last updated: 2017-03-07

Dataset creators: Brenner Silva

Contact: Brenner Silva

Temporal coverage: 2013-11-11 15:20:00 - 2013-11-19 18:25:00 - time zone: -5

Geographic coverage: ECSF pasture

Abstract: Measurements were carried out by using a surface l...

Abstract:

Measurements were carried out by using a surface laser scintillometer (SLS) (Scintec SLS40, Scintec AG, Rottenburg). The SLS was installed two meters aboveground and with a propagation path length of 89 meters in relatively flat terrain covered the pasture grass Setaria sphacelata (average plant height of 0.53 meters). An automatic weather station was installed at the SLS receiver to measure net radiation, soil heat flux, air temperature, and relative humidity.

Additional info: Silva, B.; Strobl, S.; Bendix, J. & Beck, E. (2016...

Additional info:

Silva, B.; Strobl, S.; Bendix, J. & Beck, E. (2016): Canopy evapotranspiration, leaf transpiration and water use efficiency of an Andean pasture in SE-Ecuador – a case study. Erdkunde 70(1), 5-8 DOI: http://dx.doi.org/10.3112/erdkunde.2016.01.02.

Keywords: | climate | pasture | Climate - Evaporation - Evapotranspiration - Hydrologic cycle - Relative air humidity - Transpiratio | Evapotranspiration | scintillometry |

Intellectual rights: PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)

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Entity name: 2013-11-19_5min

Entity type: dataTable

Attributes:
Date and Time (datetime) (Unitless)

Sensible Heat Flux density (heatflux_sensible) [Watt per square meter]

Wind velocity under atmospheric friction drag (friction_velocity) [Meter per second]

Force generated by molecular diffusion (momentum_flux) [Newton per square meter]

Latent Heat Flux (heatflux_latent) [Watt per square meter]

Water Evapotranspiration (evapotranspiration) [Millimeter per hour]

Atmospheric Pressure (pressure_atm) [Hectopascal]

Air humidity 2m (Huma_2m) [Percent]

air temperature in 2m (Ta_2m) [Degrees Celsius]

air temperature in 30cm (Ta_30cm) [Degrees Celsius]

radiation balance 20m (Q) [Watt per square meter]

Soil Heat Flux at 10cm (heatflux_soil_10cm) [Watt per square meter]

precipitation (PCP) [Millimeter]

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Mode of vegetation heigh in the vertical density function

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Dataset ID: 1444

Last updated: 2016-02-22

Dataset creators: Brenner Silva

Contact: Brenner Silva

Temporal coverage: 2012-03-07 00:00:00 - 2012-11-19 00:00:00 - time zone: -5

Geographic coverage: San francisco basin

Abstract: This dataset represents the statistical mode of ve...

Abstract:

This dataset represents the statistical mode of vegetation heigh in the vertical density function. This is a second level product of the LiDAR survey.

Additional info: The usage of the LiDAR data is restricted to the R...

Additional info:

The usage of the LiDAR data is restricted to the RU816 members. The usage for publications has to be agreed in advance with Prof. J. Bendix. In addition please check the PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)

Keywords: | raster | canopy |

Intellectual rights: PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)

Entity name: sfmetrics_mdh

Entity info: Mode of vegetation heigh in the vertical density function

Entity type: otherEntity

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Discrete Vertical Distribution Ratio

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Dataset ID: 1443

Last updated: 2016-02-22

Dataset creators: Brenner Silva

Contact: Brenner Silva

Temporal coverage: 2012-03-07 00:00:00 - 2012-11-19 00:00:00 - time zone: -5

Geographic coverage: San francisco basin

Abstract: This dataset represents the vertical distribution ...

Abstract:

This dataset represents the vertical distribution of intercepted canopy elements (biomass). This is a second level product from the LiDAR survey.

Additional info: The usage of the LiDAR DSM/DTM is restricted to th...

Additional info:

The usage of the LiDAR DSM/DTM is restricted to the RU816 members. The usage for publications has to be agreed in advance with Prof. J. Bendix. In addition please check the PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)

Keywords: | raster | canopy | aboveground biomass |

Intellectual rights: PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)

Entity name: sfmetrics_dvdr

Entity info: Vertical distribution of intercepted canopy elements (biomass)

Entity type: otherEntity

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CHM 1m (LiDAR) San Francisco basin

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Dataset ID: 1442

Last updated: 2021-08-12

Dataset creators: Brenner Silva
Joerg Zeilinger
Jörg Bendix

Contact: Brenner Silva

Temporal coverage: 2012-03-07 00:00:00 - 2012-11-19 00:00:00 - time zone: -5

Geographic coverage: San francisco basin

Abstract: The Canopy Height Model(CHM) is the calculated dif...

Abstract:

The Canopy Height Model(CHM) is the calculated difference between DSM and DTM, the first products of the LiDAR survey. The second entity is the canopy height model in 10 m resolution derived from the LiDAR survey. The helicopter-based survey of the Rio San Francisco catchment has been conducted in the periods of March 7-17, 2012 and November 12-19, 2012. Coordinate System UTM, Datum WGS84, Zone 17S, and Geoid EGM96 - for orthometric height - are used. The horizontal accuracy is within 5cm (based on control landmark of the IGM geodetic network). Quality assurance is done by visually inspection and correction of classification and ghost reflections. Additional quality control is done for completeness of the point cloud density and for models creation, which assured internal consistency of terrain representation (removal of artifacts due to misclassification) and seamless integration between tiles. Total data extent, considering all tiles is W: 704190.00, S: 9552910.00, N: 718190.00, E:9564110.00. The DTM has the spatial resolution of 1m, which is confirmed based on independent GPS control points measured on plane areas. The LiDAR survey has been carried out under the working group of Prof. J. Bendix. Operational support and quality check: Jörg Zeilinger, Brenner Silva, Thomaz Lotz

Additional info: The usage of the LiDAR DSM/DTM is restricted to th...

Additional info:

The usage of the LiDAR DSM/DTM is restricted to the RU816 members. The usage for publications has to be agreed in advance with Prof. J. Bendix. In addition please check the PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)

Keywords: | height | raster | canopy |

Intellectual rights: This dataset is released under the CC-BY license. https://creativecommons.org/licenses/by/3.0/de/deed.en Please use the citation string (Cite as:) in the metadata to fulfill the attribution part.

Entity name: dsm-dtm_difference_1m

Entity info: CHM 1m (derived from LiDAR survey)

Entity type: otherEntity

Entity name: sfmetrics_ch

Entity info: CHM 10m (derived from LiDAR survey

Entity type: otherEntity

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DSM 1m (derived from LiDAR survey)

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Dataset ID: 1411

Last updated: 2021-08-12

Dataset creators: Brenner Silva
Joerg Zeilinger
Thomas Lotz

Contact: Brenner Silva

Temporal coverage: 2012-03-07 00:00:00 - 2012-11-19 00:00:00 - time zone: -5

Geographic coverage: San francisco basin

Abstract: This Digital Surface Model (DSM) is created using ...

Abstract:

This Digital Surface Model (DSM) is created using linear interpolation applied on highest return per unity ground, as acquired during the LiDAR campaign. The helicopter-based survey of the Rio San Francisco catchment has been conducted in the periods of March 7-17, 2012 and November 12-19, 2012. Coordinate System UTM, Datum WGS84, Zone 17S, and Geoid EGM96 - for orthometric height - are used. The horizontal accuracy is within 5cm (based on control landmark of the IGM geodetic network). Quality assurance is done by visually inspection and correction of classification and ghost reflections. Additional quality control is done for completeness of the point cloud density and for models creation, which assured internal consistency of terrain representation (removal of artifacts due to misclassification) and seamless integration between tiles. Total data extent, considering all tiles is W: 704190.00, S: 9552910.00, N: 718190.00, E:9564110.00. The DSM has the spatial resolution of 1m. The LiDAR survey has been carried out under the working group of Prof. J. Bendix. Operational support and quality check: Jörg Zeilinger, Brenner Silva, Thomaz Lotz

Additional info: The zip-file contains 257 ARC/INFO ASCII files of ...

Additional info:

The zip-file contains 257 ARC/INFO ASCII files of 700x700 meter. The usage of these data is restricted to the RU816 members and publication of these data or analysis based on them has to be agreed in advance with Prof. J. Bendix.

Keywords: | LiDAR |

Intellectual rights: This dataset is released under the CC-BY license. https://creativecommons.org/licenses/by/3.0/de/deed.en Please use the citation string (Cite as:) in the metadata to fulfill the attribution part.

Entity name: dsm_1m

Entity type: otherEntity

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DTM 1m (derived from LiDAR survey)

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Dataset ID: 1400

Last updated: 2021-08-12

Dataset creators: Brenner Silva
Joerg Zeilinger
Thomas Lotz

Contact: Brenner Silva

Temporal coverage: 2012-03-07 00:00:00 - 2012-11-19 00:00:00 - time zone: -5

Geographic coverage: San francisco basin

Abstract: This Digital Terrain Model (DTM) is created using ...

Abstract:

This Digital Terrain Model (DTM) is created using linear interpolation applied on ground-class points of the LiDAR data. The helicopter-based survey of the Rio San Francisco catchment has been conducted in the periods of March 7-17, 2012 and November 12-19, 2012. Coordinate System UTM, Datum WGS84, Zone 17S, and Geoid EGM96 - for orthometric height - are used. The horizontal accuracy is within 5cm (based on control landmark of the IGM geodetic network). Quality assurance is done by visually inspection and correction of classification and ghost reflections. Additional quality control is done for completeness of the point cloud density and for models creation, which assured internal consistency of terrain representation (removal of artifacts due to misclassification) and seamless integration between tiles. Total data extent, considering all tiles is W: 704190.00, S: 9552910.00, N: 718190.00, E:9564110.00. The DTM has the spatial resolution of 1m, which is confirmed based on independent GPS control points measured on plane areas. The LiDAR survey has been carried out under the working group of Prof. J. Bendix. Operational support and quality check: Jörg Zeilinger, Brenner Silva, Thomaz Lotz

Additional info: The zip-file contains 262 ARC/INFO ASCII files of ...

Additional info:

The zip-file contains 262 ARC/INFO ASCII files of 700x700 meter. The usage of these data is restricted to the RU816 members and publication of these data or analysis based on them has to be agreed in advance with Prof. J. Bendix.

Keywords: | LiDAR |

Intellectual rights: This dataset is released under the CC-BY license. https://creativecommons.org/licenses/by/3.0/de/deed.en Please use the citation string (Cite as:) in the metadata to fulfill the attribution part.

Entity name: dtm_1m

Entity info: DTM 1m (LiDAR) of the San Francisco basin

Entity type: otherEntity

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Environmental changes in biodiversity hotspot ecosystems of
South Ecuador: RESPonse and feedback effECTs (FOR2730)

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