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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51LWC_2017-07-18_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50JLL_2017-11-28_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKM_2018-01-10_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JNP_2018-01-14_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KVU_2018-01-21_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KWV_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXA_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LXD_2018-01-31_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51JYJ_2018-02-04_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZP_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KUR_2018-02-20_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51JXF_2018-02-24_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMK_2018-02-26_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_51JYL_2018-04-25_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HNJ_2018-05-14_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51HYD_2018-07-24_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQJ_2018-08-02_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HPH_2018-09-18_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HQJ_2018-09-18_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51HUD_2018-10-28_final
2018-11-16 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2018-11-16_final
2019-02-22 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2019-02-22_final
2019-03-17 11:31:19	ga_s2bm_ard_3-2-1_51LZE_2019-03-17_final
2019-03-30 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2019-03-30_final
2019-04-06 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2019-04-06_final
2019-04-12 11:55:25	ga_s2bm_ard_3-2-1_50JNQ_2019-04-12_final
2019-04-13 11:24:34	ga_s2bm_ard_3-2-1_51JWN_2019-04-13_final
2019-04-29 11:42:53	ga_s2bm_ard_3-2-1_51KUV_2019-04-29_final
2019-06-09 11:16:52	ga_s2bm_ard_3-2-1_51HWD_2019-06-09_final
2019-07-12 11:24:20	ga_s2bm_ard_3-2-1_51KXP_2019-07-12_final
2019-07-21 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-07-21_final
2019-09-27 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2019-09-27_final
2019-10-07 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2019-10-07_final
2019-10-16 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2019-10-16_final
2020-01-04 11:44:40	ga_s2bm_ard_3-2-1_50JRS_2020-01-04_final
2020-02-20 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2020-02-20_final
2020-03-01 11:32:43	ga_s2bm_ard_3-2-1_51KXV_2020-03-01_final
2020-07-05 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-07-05_final
2020-07-19 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-07-19_final
2020-07-31 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2020-07-31_final
2020-10-04 11:24:59	ga_s2bm_ard_3-2-1_51JXL_2020-10-04_final
2020-10-04 11:26:25	ga_s2bm_ard_3-2-1_51HXE_2020-10-04_final
2020-11-23 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2020-11-23_final
2020-11-26 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2020-11-26_final
2021-01-22 11:22:12	ga_s2bm_ard_3-2-1_51KYB_2021-01-22_final
2021-02-11 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2021-02-11_final
2021-02-20 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2021-02-20_final
2021-05-04 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-05-04_final
2021-05-24 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2021-05-24_final
2021-05-25 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2021-05-25_final
2021-06-03 12:03:57	ga_s2bm_ard_3-2-1_50KLA_2021-06-03_final
2021-06-21 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2021-06-21_final
2021-07-30 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2021-07-30_final
2021-08-20 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2021-08-20_final
2021-08-26 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2021-08-26_final
2021-12-17 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2021-12-17_final
2022-01-30 11:31:15	ga_s2bm_ard_3-2-1_51LZE_2022-01-30_final
2022-02-11 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2022-02-11_final
2022-05-13 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2022-05-13_final
2022-05-30 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2022-05-30_final
2022-06-02 11:46:26	ga_s2bm_ard_3-2-1_50JML_2022-06-02_final
2022-06-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-06-08_final
2022-06-16 11:24:18	ga_s2bm_ard_3-2-1_51KWP_2022-06-16_final
2022-06-16 11:25:31	ga_s2bm_ard_3-2-1_51JWJ_2022-06-16_final
2022-06-19 11:33:13	ga_s2bm_ard_3-2-1_51KXT_2022-06-19_final
2022-06-19 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2022-06-19_final
2022-07-06 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2022-07-06_final
2022-07-22 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2022-07-22_final
2022-08-01 11:46:31	ga_s2bm_ard_3-2-1_50JML_2022-08-01_final
2022-09-11 11:14:43	ga_s2bm_ard_3-2-1_51JYM_2022-09-11_final.stac-item
2022-10-30 11:44:58	ga_s2bm_ard_3-2-1_51JTL_2022-10-30_final.stac-item
2022-11-03 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2022-11-03_final.stac-item
2022-11-16 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2022-11-16_final.stac-item
2022-11-25 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-11-25_final.stac-item
2022-12-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2022-12-29_final.stac-item
2023-01-02 11:22:25	ga_s2bm_ard_3-2-1_51KYA_2023-01-02_final.stac-item
2023-01-11 13:31:34	ga_s2bm_ard_3-2-1_47LKG_2023-01-11_interim.stac-item
2023-02-07 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2023-02-07_final.stac-item
2023-02-14 11:31:04	ga_s2bm_ard_3-2-1_51LZF_2023-02-14_nrt.stac-item
2023-02-14 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2023-02-14_final.stac-item
2023-03-06 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2023-03-06_final.stac-item
2023-03-18 12:14:34	ga_s2bm_ard_3-2-1_49KFP_2023-03-18_nrt.stac-item
2023-03-23 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2023-03-23_final.stac-item
2023-04-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-04-04_final.stac-item
2023-04-08 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2023-04-08_final.stac-item
2023-05-31 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-05-31_final.stac-item
2023-06-20 11:57:17	ga_s2bm_ard_3-2-1_50HKH_2023-06-20_nrt.stac-item
2023-06-21 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2023-06-21_final.stac-item
2023-06-21 11:23:11	ga_s2bm_ard_3-2-1_51KZT_2023-06-21_final.stac-item
2023-06-21 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-06-21_final.stac-item
2023-08-23 11:35:12	ga_s2bm_ard_3-2-1_51JWK_2023-08-23_final.stac-item
2023-09-03 11:06:40	ga_s2bm_ard_3-2-1_52HBJ_2023-09-03_nrt.stac-item
2023-09-12 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2023-09-12_final.stac-item
2023-09-25 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-09-25_final.stac-item
2023-11-28 11:24:55	ga_s2bm_ard_3-2-1_51JWL_2023-11-28_final.stac-item
2023-11-28 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2023-11-28_final.stac-item
2024-01-30 11:31:04	ga_s2bm_ard_3-2-1_51LZF_2024-01-30_nrt.stac-item
2024-02-13 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2024-02-13_final.stac-item
2024-03-10 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2024-03-10_final.stac-item
2024-03-20 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2024-03-20_final.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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