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谷歌地球引擎(GEE)--全球生态系统动态调查(GEDI)综合数据集(海拔高度、森林覆盖率、城市占比)

最编程 2024-03-18 13:25:38
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Name

Description

​beam​


Beam identifier


​degrade_flag​


Flag indicating degraded state of pointing and/or positioning information.

  • 3X - ADF CHU solution unavailable (ST-2)
  • 4X - Platform attitude
  • 5X - Poor solution (filter covariance large)
  • 6X - Data outage (platform attitude gap also)
  • 7X - ST 1+2 unavailable (similar boresight FOV)
  • 8X - ST 1+2+3 unavailable
  • 9X - ST 1+2+3 and ISS unavailable
  • X1 - Maneuver
  • X2 - GPS data gap
  • X3 - ST blinding
  • X4 - Other
  • X5 - GPS receiver clock drift
  • X6 - Maneuver & GPS receiver clock drift
  • X7 - GPS data gap & GPS receiver clock drift
  • X8 - ST blinding & GPS receiver clock drift
  • X9 - Other & GPS receiver clock drift


​delta_time​


Time delta since Jan 1 00:00 2018


​digital_elevation_model​


TanDEM-X elevation at GEDI footprint location


​digital_elevation_model_srtm​


STRM elevation at GEDI footprint location


​elev_highestreturn​


Elevation of highest detected return relative to reference ellipsoid


​elev_lowestmode​


Elevation of center of lowest mode relative to reference ellipsoid


​elevation_bias_flag​


Elevations potentially affected by 4bin (~60 cm) ranging error


​landsat_treecover​


Tree cover in the year 2010, defined as canopy closure for all vegetation taller than 5 m in height as a percentage per output grid cell


​landsat_water_persistence​


Percent UMD GLAD Landsat observations with classified surface water


​lat_highestreturn​


Latitude of highest detected return


​leaf_off_doy​


GEDI 1 km EASE 2.0 grid leaf-off start day-of-year


​leaf_off_flag​


GEDI 1 km EASE 2.0 grid flag


​leaf_on_cycle​


Flag that indicates the vegetation growing cycle for leaf-on observations


​leaf_on_doy​


GEDI 1 km EASE 2.0 grid leaf-on start day-of-year


​lon_highestreturn​


Longitude of highest detected return


​modis_nonvegetated​


Percent non-vegetated from MODIS MOD44B V6 data


​modis_nonvegetated_sd​


Percent non-vegetated standard deviation from MODIS MOD44B V6 data


​modis_treecover​


Percent tree cover from MODIS MOD44B V6 data


​modis_treecover_sd​


Percent tree cover standard deviation from MODIS MOD44B V6 data


​num_detectedmodes​


Number of detected modes in rxwaveform


​pft_class​


GEDI 1 km EASE 2.0 grid Plant Functional Type (PFT)


​quality_flag​


Flag indicating likely invalid waveform (1=valid, 0=invalid)


​region_class​


GEDI 1 km EASE 2.0 grid world continental regions


​selected_algorithm​


Identifier of algorithm selected as identifying the lowest non-noise mode


​selected_mode​


Identifier of mode selected as lowest non-noise mode


​selected_mode_flag​


Flag indicating status of selected_mode


​sensitivity​


Maxmimum canopy cover that can be penetrated


​shot_number​


Shot number, a unique identifier. This field is truncated on some images that are being reprocessed to properly show it (as of March 2022).

This field has the format of OOOOOBBRRGNNNNNNNN, where:

  • OOOOO: Orbit number
  • BB: Beam number
  • RR: Reserved for future use
  • G: Sub-orbit granule number
  • NNNNNNNN: Shot index


​solar_azimuth​


Solar azimuth


​solar_elevation​


Solar elevation


​surface_flag​


Indicates elev_lowestmode is within 300 m of DEM or MSS


​urban_focal_window_size​


The focal window size used to calculate urban_proportion


​urban_proportion​


The percentage proportion of land area within a focal area surrounding each shot that is urban land cover.


​rh0​


Relative height metrics at 0%


​rh1​


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​rh2​


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​rh3​


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​rh4​


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​rh5​


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​rh6​


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​rh7​


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​rh8​


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​rh9​


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​rh10​


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​rh11​


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​rh12​


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​rh13​


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​rh14​


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​rh15​


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​rh16​


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​rh17​


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​rh18​


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​rh19​


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​rh21​


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​rh22​


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​rh23​


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​rh24​


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​rh27​


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​rh28​


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​rh41​


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​rh42​


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​rh43​


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​rh44​


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上一篇: 谷歌地球引擎(GEE)--大面积森林生物量估算利用多源遥感数据(GEDI+S2+S1)

下一篇: 谷歌地球引擎 - FORMA 火灾警报数据集采用两种 MODIS 产品的组合进行检测:归一化植被指数(NDVI)和资源管理系统火灾信息(FIRMS)。