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
2017-07-20 10:43:06	ga_s2bm_ard_3-2-1_53JNN_2017-07-20_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JRM_2017-09-05_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNJ_2017-09-16_final
2018-01-13 10:27:00	ga_s2bm_ard_3-2-1_53JQM_2018-01-13_final
2018-02-04 11:07:05	ga_s2bm_ard_3-2-1_52LFL_2018-02-04_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50HPH_2018-02-20_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KVV_2018-03-15_final
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KQP_2018-05-23_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JCL_2018-05-25_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KXR_2018-07-27_final
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KDB_2018-08-13_final
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KZU_2018-08-26_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52KEA_2018-09-02_final
2018-10-20 10:31:25	ga_s2bm_ard_3-2-1_53JRM_2018-10-20_final
2018-11-11 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2018-11-11_final
2018-11-21 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2018-11-21_final
2019-04-20 11:13:36	ga_s2bm_ard_3-2-1_52KEA_2019-04-20_final
2019-04-26 11:33:09	ga_s2bm_ard_3-2-1_51KYT_2019-04-26_final
2019-05-03 11:23:58	ga_s2bm_ard_3-2-1_52KBV_2019-05-03_final
2019-05-23 11:23:30	ga_s2bm_ard_3-2-1_51KZS_2019-05-23_final
2019-06-18 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2019-06-18_final
2019-06-21 11:56:33	ga_s2bm_ard_3-2-1_50JLL_2019-06-21_final
2019-07-01 11:53:30	ga_s2bm_ard_3-2-1_50KPC_2019-07-01_final
2019-07-10 10:44:29	ga_s2bm_ard_3-2-1_53JNM_2019-07-10_final
2019-07-19 11:14:03	ga_s2bm_ard_3-2-1_51KZQ_2019-07-19_final
2019-07-22 11:23:48	ga_s2bm_ard_3-2-1_51KYR_2019-07-22_final
2019-08-11 11:23:46	ga_s2bm_ard_3-2-1_51KYR_2019-08-11_final
2019-10-11 10:55:40	ga_s2bm_ard_3-2-1_53JKG_2019-10-11_final
2019-10-12 10:24:20	ga_s2bm_ard_3-2-1_53JRM_2019-10-12_final
2019-10-22 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2019-10-22_final
2019-11-23 11:03:44	ga_s2bm_ard_3-2-1_52KEV_2019-11-23_final
2019-12-04 10:34:12	ga_s2bm_ard_3-2-1_53JQM_2019-12-04_final
2019-12-25 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2019-12-25_final
2019-12-29 11:23:30	ga_s2bm_ard_3-2-1_52KBA_2019-12-29_final
2020-01-03 10:34:09	ga_s2bm_ard_3-2-1_53JNN_2020-01-03_final
2020-01-26 10:45:25	ga_s2bm_ard_3-2-1_53JNG_2020-01-26_final
2020-02-13 11:42:17	ga_s2bm_ard_3-2-1_51KWA_2020-02-13_final
2020-02-20 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2020-02-20_final
2020-03-11 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-11_final
2020-04-08 10:52:05	ga_s2bm_ard_3-2-1_53KMA_2020-04-08_final
2020-04-17 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2020-04-17_final
2020-05-24 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2020-05-24_final
2020-06-26 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-06-26_final
2020-07-24 10:46:08	ga_s2bm_ard_3-2-1_53HME_2020-07-24_final
2020-08-18 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2020-08-18_final
2020-08-18 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2020-08-18_final
2020-08-22 11:13:08	ga_s2bm_ard_3-2-1_52KDC_2020-08-22_final
2020-08-31 11:42:34	ga_s2bm_ard_3-2-1_51KUA_2020-08-31_final
2020-08-31 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-08-31_final
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2020-10-16_final
2021-01-22 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2021-01-22_final
2021-01-23 10:55:54	ga_s2bm_ard_3-2-1_53JKF_2021-01-23_final
2021-02-01 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-02-01_final
2021-03-02 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2021-03-02_final
2021-04-10 10:41:06	ga_s2bm_ard_3-2-1_53LPE_2021-04-10_final
2021-06-14 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2021-06-14_final
2021-06-21 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2021-06-21_final
2021-07-17 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2021-07-17_final.stac-item
2022-02-10 11:06:12	ga_s2bm_ard_3-2-1_52HDK_2022-02-10_final.stac-item
2022-02-12 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-12_final
2022-03-13 10:34:36	ga_s2bm_ard_3-2-1_53JPL_2022-03-13_final
2022-04-07 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2022-04-07_final
2022-05-14 11:13:06	ga_s2bm_ard_3-2-1_52KCC_2022-05-14_final
2022-06-13 11:13:54	ga_s2bm_ard_3-2-1_52KCV_2022-06-13_final
2022-06-29 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-06-29_final
2022-07-09 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2022-07-09_final
2022-07-13 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2022-07-13_final
2022-08-20 10:34:01	ga_s2bm_ard_3-2-1_53JRN_2022-08-20_final
2022-08-25 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2022-08-25_final
2022-09-05 10:54:49	ga_s2bm_ard_3-2-1_52JFR_2022-09-05_final.stac-item
2022-09-24 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2022-09-24_final.stac-item
2022-11-08 10:33:33	ga_s2bm_ard_3-2-1_53KRQ_2022-11-08_final.stac-item
2022-11-30 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2022-11-30_final.stac-item
2022-12-07 11:00:25	ga_s2bm_ard_3-2-1_53LKH_2022-12-07_final.stac-item
2023-02-16 10:34:34	ga_s2bm_ard_3-2-1_53JPL_2023-02-16_final.stac-item
2023-04-14 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2023-04-14_final.stac-item
2023-04-15 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2023-04-15_final.stac-item
2023-04-23 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2023-04-23_final.stac-item
2023-05-04 10:25:08	ga_s2bm_ard_3-2-1_53JQJ_2023-05-04_final.stac-item
2023-06-09 10:46:14	ga_s2bm_ard_3-2-1_53HLE_2023-06-09_final.stac-item
2023-06-24 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-06-24_final.stac-item
2023-07-10 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-07-10_final.stac-item
2023-07-25 11:03:04	ga_s2bm_ard_3-2-1_52KGC_2023-07-25_final.stac-item
2023-09-01 10:26:45	ga_s2bm_ard_3-2-1_53HNC_2023-09-01_final.stac-item
2023-09-02 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-09-02_final.stac-item
2023-09-04 10:36:15	ga_s2bm_ard_3-2-1_53HME_2023-09-04_final.stac-item
2023-09-25 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-09-25_final.stac-item
2023-10-06 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2023-10-06_final.stac-item
2023-10-27 10:42:39	ga_s2bm_ard_3-2-1_53KPU_2023-10-27_final.stac-item
2023-11-03 10:34:17	ga_s2bm_ard_3-2-1_53JRM_2023-11-03_final.stac-item
2023-11-23 10:33:30	ga_s2bm_ard_3-2-1_53KQQ_2023-11-23_final.stac-item
2023-12-11 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2023-12-11_final.stac-item
2024-01-07 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2024-01-07_final.stac-item
2024-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2024-02-22_final.stac-item
2024-03-04 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2024-03-04_final.stac-item
2024-03-13 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2024-03-13_final.stac-item
2024-03-20 11:31:29	ga_s2bm_ard_3-2-1_52LBJ_2024-03-20_final.stac-item
2024-03-30 11:31:53	ga_s2bm_ard_3-2-1_51LWC_2024-03-30_final.stac-item
2024-05-09 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2024-05-09_final.stac-item
2024-05-11 10:36:11	ga_s2bm_ard_3-2-1_53HME_2024-05-11_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