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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JKM_2017-07-24_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPH_2017-09-23_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51KXT_2017-11-09_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KVV_2018-01-11_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWA_2018-01-11_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JQS_2018-01-14_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LZE_2018-01-31_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52JBR_2018-04-25_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KUB_2018-05-24_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HYE_2018-05-25_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51JYH_2018-05-25_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JFN_2018-10-09_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXS_2018-10-28_final
2018-12-30 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2018-12-30_final
2019-01-05 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-01-05_final
2019-01-06 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-01-06_final
2019-01-27 11:05:05	ga_s2bm_ard_3-2-1_52JDQ_2019-01-27_final
2019-02-28 11:42:29	ga_s2bm_ard_3-2-1_51KUA_2019-02-28_final
2019-03-08 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2019-03-08_final
2019-03-30 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2019-03-30_final
2019-04-12 11:54:38	ga_s2bm_ard_3-2-1_50JPT_2019-04-12_final
2019-07-11 11:54:35	ga_s2bm_ard_3-2-1_50KMU_2019-07-11_final
2019-09-13 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2019-09-13_final
2019-09-23 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2019-09-23_final
2019-10-20 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2019-10-20_final
2019-11-19 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2019-11-19_final
2019-11-22 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2019-11-22_final
2020-01-25 11:16:33	ga_s2bm_ard_3-2-1_51HXD_2020-01-25_final
2020-02-20 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2020-02-20_final
2020-03-17 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-03-17_final
2020-03-24 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2020-03-24_final
2020-05-20 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2020-05-20_final
2020-06-13 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2020-06-13_final
2020-06-22 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-06-22_final
2020-07-19 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2020-07-19_final
2020-09-17 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2020-09-17_final
2020-11-20 11:16:03	ga_s2bm_ard_3-2-1_52JCL_2020-11-20_final
2020-11-20 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2020-11-20_final
2020-12-06 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2020-12-06_final
2020-12-12 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-12-12_final
2021-01-12 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2021-01-12_final
2021-01-28 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2021-01-28_final
2021-02-07 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2021-02-07_final
2021-02-07 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-02-07_final
2021-02-28 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2021-02-28_final
2021-03-03 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2021-03-03_final
2021-03-16 11:32:36	ga_s2bm_ard_3-2-1_51KYV_2021-03-16_final
2021-03-19 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-03-19_final
2021-03-26 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-03-26_final
2021-04-09 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2021-04-09_final
2021-04-15 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2021-04-15_final
2021-05-05 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2021-05-05_final
2021-06-11 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2021-06-11_final
2021-06-21 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2021-06-21_final
2021-07-21 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2021-07-21_final
2021-08-17 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2021-08-17_final
2021-08-26 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2021-08-26_final
2021-09-02 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2021-09-02_final
2021-09-12 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2021-09-12_final
2021-09-22 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2021-09-22_final
2021-10-02 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2021-10-02_final
2021-10-12 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2021-10-12_final
2021-11-08 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-11-08_final
2021-12-21 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2021-12-21_final
2022-01-21 11:04:27	ga_s2bm_ard_3-2-1_52JES_2022-01-21_final
2022-03-21 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2022-03-21_final
2022-03-27 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2022-03-27_final
2022-03-28 11:26:04	ga_s2bm_ard_3-2-1_51JXF_2022-03-28_final
2022-03-29 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2022-03-29_final
2022-05-23 11:44:23	ga_s2bm_ard_3-2-1_50KPU_2022-05-23_final
2022-05-30 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-05-30_final
2022-06-12 11:45:59	ga_s2bm_ard_3-2-1_51JTG_2022-06-12_final
2022-06-15 11:55:24	ga_s2bm_ard_3-2-1_50JNQ_2022-06-15_final
2022-06-16 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2022-06-16_final
2022-07-03 11:15:53	ga_s2bm_ard_3-2-1_52JCM_2022-07-03_final
2022-07-05 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2022-07-05_final
2022-07-22 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2022-07-22_final
2022-08-31 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2022-08-31_final
2022-10-23 11:56:21	ga_s2bm_ard_3-2-1_50JML_2022-10-23_final.stac-item
2022-11-20 11:14:21	ga_s2bm_ard_3-2-1_52JBT_2022-11-20_final.stac-item
2022-11-22 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2022-11-22_final.stac-item
2022-12-06 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2022-12-06_final.stac-item
2023-01-06 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2023-01-06_final.stac-item
2023-01-15 11:36:01	ga_s2bm_ard_3-2-1_50JQM_2023-01-15_final.stac-item
2023-02-11 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2023-02-11_final.stac-item
2023-02-25 11:06:03	ga_s2bm_ard_3-2-1_52JDL_2023-02-25_final.stac-item
2023-03-19 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2023-03-19_final.stac-item
2023-04-05 11:31:09	ga_s2bm_ard_3-2-1_51LZF_2023-04-05_nrt.stac-item
2023-05-18 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-05-18_final.stac-item
2023-06-23 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2023-06-23_final.stac-item
2023-06-24 11:35:23	ga_s2bm_ard_3-2-1_51JWJ_2023-06-24_final.stac-item
2023-07-01 11:25:58	ga_s2bm_ard_3-2-1_51JXG_2023-07-01_final.stac-item
2023-07-24 11:33:36	ga_s2bm_ard_3-2-1_51KVS_2023-07-24_final.stac-item
2023-08-16 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2023-08-16_final.stac-item
2023-11-28 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2023-11-28_final.stac-item
2023-12-08 11:24:41	ga_s2bm_ard_3-2-1_51JWM_2023-12-08_final.stac-item
2024-01-24 11:14:19	ga_s2bm_ard_3-2-1_52JCT_2024-01-24_final.stac-item
2024-02-13 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2024-02-13_final.stac-item
2024-03-08 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2024-03-08_final.stac-item
2024-03-30 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2024-03-30_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

All years