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
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JKM_2017-11-21_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KQV_2017-12-25_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KRC_2018-01-14_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXP_2018-01-31_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50JQM_2018-02-03_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JLL_2018-02-26_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JUN_2018-03-02_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JYN_2018-06-07_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HPH_2018-06-13_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JKP_2018-06-16_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JFM_2018-06-22_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JWK_2018-08-29_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMK_2018-09-01_final
2019-01-06 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2019-01-06_final
2019-01-16 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2019-01-16_final
2019-01-26 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2019-01-26_final
2019-03-26 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-03-26_final
2019-04-12 11:54:53	ga_s2bm_ard_3-2-1_50JPS_2019-04-12_final
2019-06-08 11:47:10	ga_s2bm_ard_3-2-1_50HPH_2019-06-08_final
2019-06-29 11:16:45	ga_s2bm_ard_3-2-1_51HYD_2019-06-29_final
2019-07-05 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-05_final
2019-09-03 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2019-09-03_final
2019-10-13 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2019-10-13_final
2019-10-30 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2019-10-30_final
2019-12-01 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2019-12-01_final
2020-01-08 11:25:37	ga_s2bm_ard_3-2-1_51JWH_2020-01-08_final
2020-01-18 11:23:34	ga_s2bm_ard_3-2-1_51KXR_2020-01-18_final
2020-02-10 11:34:31	ga_s2bm_ard_3-2-1_51JTN_2020-02-10_final
2020-02-13 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2020-02-13_final
2020-03-14 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2020-03-14_final
2020-04-10 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-04-10_final
2020-04-19 12:05:14	ga_s2bm_ard_3-2-1_50JLQ_2020-04-19_final
2020-04-24 11:16:31	ga_s2bm_ard_3-2-1_51HYD_2020-04-24_final
2020-05-20 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2020-05-20_final
2020-05-20 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2020-05-20_final
2020-07-02 11:44:12	ga_s2bm_ard_3-2-1_50KPV_2020-07-02_final
2020-07-18 12:03:39	ga_s2bm_ard_3-2-1_50KMB_2020-07-18_final
2020-08-21 11:45:33	ga_s2bm_ard_3-2-1_51JTJ_2020-08-21_final
2020-09-17 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2020-09-17_final
2020-11-02 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2020-11-02_final
2020-12-10 11:14:53	ga_s2bm_ard_3-2-1_51JYL_2020-12-10_final
2021-02-11 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2021-02-11_final
2021-02-14 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2021-02-14_final
2021-04-11 11:56:19	ga_s2bm_ard_3-2-1_50JML_2021-04-11_final
2021-04-18 11:45:20	ga_s2bm_ard_3-2-1_50JNQ_2021-04-18_final
2021-05-04 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2021-05-04_final
2021-06-14 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2021-06-14_final
2021-08-03 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2021-08-03_final
2021-08-25 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2021-08-25_final
2021-08-29 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-08-29_final
2021-10-01 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-10-01_final
2021-10-09 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2021-10-09_final
2022-02-02 11:43:27	ga_s2bm_ard_3-2-1_51KTS_2022-02-02_final
2022-02-22 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-02-22_final
2022-03-08 11:25:31	ga_s2bm_ard_3-2-1_51JYH_2022-03-08_final
2022-03-24 11:43:49	ga_s2bm_ard_3-2-1_50KQA_2022-03-24_final
2022-03-27 11:55:44	ga_s2bm_ard_3-2-1_50JMN_2022-03-27_final
2022-04-03 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2022-04-03_final
2022-04-13 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2022-04-13_final
2022-04-27 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2022-04-27_final
2022-05-13 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2022-05-13_final
2022-05-13 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2022-05-13_final
2022-05-17 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2022-05-17_final
2022-05-24 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2022-05-24_final
2022-05-30 11:35:08	ga_s2bm_ard_3-2-1_51JWK_2022-05-30_final
2022-06-09 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2022-06-09_final
2022-06-18 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2022-06-18_final
2022-06-19 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2022-06-19_final
2022-08-30 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2022-08-30_final
2022-09-03 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2022-09-03_final.stac-item
2022-09-04 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2022-09-04_final.stac-item
2022-09-11 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2022-09-11_final.stac-item
2022-09-27 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-09-27_final.stac-item
2022-09-30 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2022-09-30_final.stac-item
2022-10-30 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-10-30_final.stac-item
2022-11-09 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-11-09_final.stac-item
2022-11-16 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-11-16_final.stac-item
2022-11-23 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2022-11-23_final.stac-item
2023-01-02 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2023-01-02_final.stac-item
2023-01-28 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-01-28_final.stac-item
2023-03-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2023-03-06_final.stac-item
2023-03-10 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2023-03-10_final.stac-item
2023-04-12 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2023-04-12_final.stac-item
2023-04-18 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2023-04-18_final.stac-item
2023-05-01 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-05-01_final.stac-item
2023-05-31 11:55:43	ga_s2bm_ard_3-2-1_50JMP_2023-05-31_final.stac-item
2023-11-04 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2023-11-04_final.stac-item
2023-11-08 11:24:10	ga_s2bm_ard_3-2-1_51KYP_2023-11-08_final.stac-item
2023-11-08 11:24:25	ga_s2bm_ard_3-2-1_51JYN_2023-11-08_final.stac-item
2023-11-18 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-11-18_final.stac-item
2023-11-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2023-11-18_final.stac-item
2024-01-24 11:15:56	ga_s2bm_ard_3-2-1_51JXG_2024-01-24_final.stac-item
2024-03-03 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2024-03-03_final.stac-item
2024-03-07 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2024-03-07_final.stac-item
2024-03-13 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2024-03-13_final.stac-item
2024-03-13 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2024-03-13_final.stac-item
2024-04-09 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2024-04-09_final.stac-item
2024-04-12 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2024-04-12_final.stac-item
2024-05-28 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2024-05-28_nrt.stac-item
2024-05-29 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2024-05-29_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

All years