Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KHR_2017-07-04_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVS_2017-07-18_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KVQ_2018-05-01_final
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HXD_2018-05-28_final
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KVB_2018-05-31_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KNA_2018-06-09_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KXQ_2018-07-17_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KWP_2018-07-20_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_50KKV_2018-09-20_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51JXG_2018-09-22_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51JYG_2018-09-22_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KNC_2018-09-27_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KWA_2018-10-01_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51JUH_2018-10-08_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLH_2018-10-14_final
2018-11-06 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2018-11-06_final
2019-04-26 11:33:34	ga_s2bm_ard_3-2-1_51KWS_2019-04-26_final
2019-04-30 11:16:48	ga_s2bm_ard_3-2-1_51HXD_2019-04-30_final
2019-06-05 11:32:27	ga_s2bm_ard_3-2-1_51KVB_2019-06-05_final
2019-06-25 11:33:35	ga_s2bm_ard_3-2-1_51KWS_2019-06-25_final
2019-07-08 11:42:18	ga_s2bm_ard_3-2-1_51KWB_2019-07-08_final
2019-07-15 11:34:04	ga_s2bm_ard_3-2-1_51KWQ_2019-07-15_final
2019-08-17 11:43:17	ga_s2bm_ard_3-2-1_51KVT_2019-08-17_final
2019-11-14 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-11-14_final
2019-12-05 11:42:03	ga_s2bm_ard_3-2-1_51KWB_2019-12-05_final
2019-12-18 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2019-12-18_final
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-31_final
2020-02-17 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2020-02-17_final
2020-04-26 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2020-04-26_final
2020-04-30 11:32:10	ga_s2bm_ard_3-2-1_51KWB_2020-04-30_final
2020-05-23 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2020-05-23_final
2020-06-05 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2020-06-05_final.stac-item
2020-06-06 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2020-06-06_final
2020-06-12 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-06-12_final
2020-06-22 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-06-22_final
2020-07-16 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2020-07-16_final
2020-08-01 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-08-01_final
2020-09-13 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-09-13_final
2020-09-16 12:04:08	ga_s2bm_ard_3-2-1_50KKA_2020-09-16_final
2020-09-16 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2020-09-16_final
2020-10-10 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-10-10_final
2020-10-16 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2020-10-16_final
2020-12-02 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2020-12-02_final.stac-item
2021-04-05 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-04-05_final
2021-06-14 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2021-06-14_final
2021-07-04 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2021-07-04_final
2021-09-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2021-09-08_final
2021-09-21 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-09-21_final
2021-11-07 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-11-07_final
2021-11-07 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-11-07_final
2022-01-06 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2022-01-06_final
2022-01-20 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2022-01-20_final
2022-02-26 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2022-02-26_final
2022-04-16 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-04-16_final
2022-04-26 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2022-04-26_final
2022-06-12 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2022-06-12_final
2022-06-19 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2022-06-19_final
2022-06-25 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2022-06-25_final
2022-07-15 11:56:26	ga_s2bm_ard_3-2-1_50JML_2022-07-15_final
2022-07-25 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-07-25_final
2022-08-24 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-08-24_final
2022-09-07 11:35:10	ga_s2bm_ard_3-2-1_51JWK_2022-09-07_final.stac-item
2022-09-17 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2022-09-17_final.stac-item
2022-11-22 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2022-11-22_final.stac-item
2022-12-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-12-02_final.stac-item
2023-01-01 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2023-01-01_final.stac-item
2023-01-12 11:26:01	ga_s2bm_ard_3-2-1_51JUG_2023-01-12_final.stac-item
2023-01-12 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2023-01-12_final.stac-item
2023-01-21 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2023-01-21_final.stac-item
2023-02-01 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2023-02-01_final.stac-item
2023-02-24 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2023-02-24_final.stac-item
2023-03-13 11:26:44	ga_s2bm_ard_3-2-1_51HWD_2023-03-13_final.stac-item
2023-04-28 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2023-04-28_final.stac-item
2023-05-15 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-05-15_final.stac-item
2023-05-28 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-05-28_final.stac-item
2023-05-29 11:16:48	ga_s2bm_ard_3-2-1_51HWD_2023-05-29_final.stac-item
2023-06-10 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-06-10_final.stac-item
2023-06-11 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2023-06-11_final.stac-item
2023-06-11 11:26:49	ga_s2bm_ard_3-2-1_51HVD_2023-06-11_final.stac-item
2023-07-01 11:26:05	ga_s2bm_ard_3-2-1_51JVG_2023-07-01_final.stac-item
2023-07-24 11:34:31	ga_s2bm_ard_3-2-1_51JWN_2023-07-24_final.stac-item
2023-08-19 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-08-19_final.stac-item
2023-08-23 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-08-23_final.stac-item
2023-08-23 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2023-08-23_final.stac-item
2023-08-29 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-08-29_final.stac-item
2023-09-08 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2023-09-08_final.stac-item
2023-10-15 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2023-10-15_final.stac-item
2023-10-18 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2023-10-18_final.stac-item
2024-01-10 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2024-01-10_final.stac-item
2024-01-13 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2024-01-13_final.stac-item
2024-01-20 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-01-20_final.stac-item
2024-01-23 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2024-01-23_final.stac-item
2024-02-02 11:46:56	ga_s2bm_ard_3-2-1_50HPH_2024-02-02_final.stac-item
2024-02-02 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-02-02_final.stac-item
2024-02-06 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2024-02-06_final.stac-item
2024-02-12 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2024-02-12_final.stac-item
2024-02-22 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2024-02-22_final.stac-item
2024-03-17 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2024-03-17_final.stac-item
2024-05-08 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-05-08_final.stac-item
2024-05-22 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-05-22_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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