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
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_50HPJ_2017-09-03_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKM_2017-09-22_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKM_2017-11-21_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JXM_2017-12-29_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUT_2018-02-03_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JMN_2018-02-26_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KZS_2018-03-19_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JUG_2018-03-29_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KVU_2018-06-23_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JNL_2018-07-16_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KVA_2018-08-02_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMK_2018-09-01_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JNR_2018-09-11_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLM_2018-10-04_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHR_2018-10-20_final
2018-12-16 12:05:20	ga_s2bm_ard_3-2-1_50JKQ_2018-12-16_final
2018-12-26 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2018-12-26_final
2019-01-16 11:34:35	ga_s2bm_ard_3-2-1_51JTN_2019-01-16_final
2019-03-30 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2019-03-30_final
2019-04-09 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2019-04-09_final
2019-04-19 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2019-04-19_final
2019-05-26 11:35:10	ga_s2bm_ard_3-2-1_51JUL_2019-05-26_final
2019-06-21 11:55:00	ga_s2bm_ard_3-2-1_50JPS_2019-06-21_final
2019-07-21 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-07-21_final
2020-01-01 11:32:21	ga_s2bm_ard_3-2-1_51KXA_2020-01-01_final
2020-02-13 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2020-02-13_final
2020-03-11 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2020-03-11_final
2020-03-24 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2020-03-24_final
2020-04-07 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2020-04-07_final
2020-04-30 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2020-04-30_final
2020-06-09 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2020-06-09_final
2020-06-26 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2020-06-26_final
2020-07-02 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2020-07-02_final
2020-07-13 11:15:55	ga_s2bm_ard_3-2-1_51JYG_2020-07-13_final
2020-08-22 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2020-08-22_final
2020-09-10 11:45:50	ga_s2bm_ard_3-2-1_50JQN_2020-09-10_final
2020-10-30 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2020-10-30_final
2020-12-03 11:23:53	ga_s2bm_ard_3-2-1_51KYQ_2020-12-03_final
2020-12-06 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2020-12-06_final
2020-12-09 11:43:34	ga_s2bm_ard_3-2-1_50KQB_2020-12-09_final
2020-12-23 11:22:05	ga_s2bm_ard_3-2-1_51KZB_2020-12-23_final
2021-03-13 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2021-03-13_final
2021-03-26 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2021-03-26_final
2021-05-05 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2021-05-05_final
2021-05-28 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-05-28_final
2021-06-10 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-06-10_final
2021-06-18 11:15:43	ga_s2bm_ard_3-2-1_51JYH_2021-06-18_final
2021-07-01 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2021-07-01_final
2021-07-04 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2021-07-04_final
2021-07-11 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2021-07-11_final
2021-07-13 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2021-07-13_final
2021-07-14 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2021-07-14_final
2021-07-17 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2021-07-17_final
2021-08-20 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-08-20_final
2021-10-02 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2021-10-02_final
2021-10-05 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-10-05_final
2021-10-25 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-10-25_final
2021-11-18 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-11-18_final
2021-12-04 11:47:04	ga_s2bm_ard_3-2-1_50HLH_2021-12-04_final
2022-01-27 11:21:34	ga_s2bm_ard_3-2-1_51LZD_2022-01-27_final
2022-02-02 11:42:03	ga_s2bm_ard_3-2-1_51KWB_2022-02-02_final
2022-02-03 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2022-02-03_final
2022-03-27 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2022-03-27_final
2022-05-17 11:23:53	ga_s2bm_ard_3-2-1_51KYQ_2022-05-17_final
2022-05-23 11:43:36	ga_s2bm_ard_3-2-1_50KQB_2022-05-23_final
2022-06-16 11:25:42	ga_s2bm_ard_3-2-1_51JXH_2022-06-16_final
2022-07-16 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2022-07-16_final
2022-07-19 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2022-07-19_final
2022-08-27 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2022-08-27_final
2022-09-13 13:31:41	ga_s2bm_ard_3-2-1_46LHM_2022-09-13_interim.stac-item
2022-09-16 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2022-09-16_final.stac-item
2022-09-20 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-09-20_final.stac-item
2022-11-29 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2022-11-29_final.stac-item
2022-12-16 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2022-12-16_final.stac-item
2022-12-22 11:55:02	ga_s2bm_ard_3-2-1_50JPR_2022-12-22_final.stac-item
2023-01-18 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-01-18_final.stac-item
2023-01-21 13:31:31	ga_s2bm_ard_3-2-1_47LKH_2023-01-21_interim.stac-item
2023-02-28 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2023-02-28_final.stac-item
2023-03-15 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-03-15_final.stac-item
2023-03-25 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2023-03-25_final.stac-item
2023-03-26 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-03-26_final.stac-item
2023-03-28 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-03-28_final.stac-item
2023-04-18 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-04-18_final.stac-item
2023-04-29 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2023-04-29_final.stac-item
2023-06-07 11:42:03	ga_s2bm_ard_3-2-1_51LVC_2023-06-07_final.stac-item
2023-06-18 11:15:47	ga_s2bm_ard_3-2-1_51JXH_2023-06-18_final.stac-item
2023-06-27 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-06-27_final.stac-item
2023-06-27 11:45:37	ga_s2bm_ard_3-2-1_50JQP_2023-06-27_final.stac-item
2023-07-01 11:22:32	ga_s2bm_ard_3-2-1_51KYA_2023-07-01_final.stac-item
2023-08-13 11:36:11	ga_s2bm_ard_3-2-1_50JQM_2023-08-13_final.stac-item
2023-09-28 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-09-28_final.stac-item
2023-10-12 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2023-10-12_final.stac-item
2023-11-01 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2023-11-01_final.stac-item
2023-11-23 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2023-11-23_final.stac-item
2023-12-28 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2023-12-28_final.stac-item
2024-01-23 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2024-01-23_final.stac-item
2024-01-23 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2024-01-23_final.stac-item
2024-02-13 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2024-02-13_final.stac-item
2024-03-07 11:24:02	ga_s2bm_ard_3-2-1_51KYP_2024-03-07_final.stac-item
2024-03-10 11:34:45	ga_s2bm_ard_3-2-1_50JRS_2024-03-10_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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