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
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KVU_2017-10-26_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HXD_2018-01-15_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KPB_2018-01-17_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KWS_2018-01-31_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKN_2018-03-21_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JNL_2018-04-27_final
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KEA_2018-06-11_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HNK_2018-06-26_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HMG_2018-08-22_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JLN_2018-08-28_final
2018-11-11 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2018-11-11_final
2018-12-30 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2018-12-30_final
2019-01-23 11:21:54	ga_s2bm_ard_3-2-1_51LZC_2019-01-23_final
2019-01-26 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-01-26_final
2019-01-29 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2019-01-29_final
2019-03-14 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2019-03-14_final
2019-04-03 11:26:28	ga_s2bm_ard_3-2-1_51HWE_2019-04-03_final
2019-06-22 11:25:28	ga_s2bm_ard_3-2-1_51JYJ_2019-06-22_final
2019-07-12 11:25:36	ga_s2bm_ard_3-2-1_51JWJ_2019-07-12_final
2019-07-25 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-25_final
2019-10-26 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-10-26_final
2019-12-09 11:23:58	ga_s2bm_ard_3-2-1_52KBU_2019-12-09_final
2019-12-21 12:03:54	ga_s2bm_ard_3-2-1_50KKA_2019-12-21_final
2019-12-26 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2019-12-26_final
2020-02-26 11:55:36	ga_s2bm_ard_3-2-1_50JMP_2020-02-26_final
2020-05-09 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2020-05-09_final
2020-05-27 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2020-05-27_final
2020-08-05 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2020-08-05_final
2020-08-11 11:45:28	ga_s2bm_ard_3-2-1_50JNQ_2020-08-11_final
2020-08-18 11:35:51	ga_s2bm_ard_3-2-1_51JTH_2020-08-18_final
2020-09-17 11:35:10	ga_s2bm_ard_3-2-1_51JWK_2020-09-17_final
2020-12-17 11:05:48	ga_s2bm_ard_3-2-1_52JCM_2020-12-17_final
2020-12-27 11:03:17	ga_s2bm_ard_3-2-1_52KEB_2020-12-27_final
2021-01-05 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2021-01-05_final
2021-01-22 11:25:03	ga_s2bm_ard_3-2-1_51JVL_2021-01-22_final
2021-01-29 11:14:16	ga_s2bm_ard_3-2-1_52JDT_2021-01-29_final
2021-02-14 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2021-02-14_final
2021-03-03 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2021-03-03_final
2021-04-12 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2021-04-12_final
2021-04-12 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2021-04-12_final
2021-04-16 11:04:14	ga_s2bm_ard_3-2-1_52JET_2021-04-16_final
2021-05-05 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2021-05-05_final
2021-05-19 11:14:23	ga_s2bm_ard_3-2-1_52JBT_2021-05-19_final
2021-05-23 10:54:21	ga_s2bm_ard_3-2-1_52JFT_2021-05-23_final
2021-06-04 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2021-06-04_final
2021-06-11 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2021-06-11_final
2021-06-16 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-06-16_final
2021-06-20 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-06-20_final
2021-06-28 11:13:20	ga_s2bm_ard_3-2-1_52KDB_2021-06-28_final
2021-08-06 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-08-06_final
2021-08-10 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2021-08-10_final
2021-09-08 11:54:48	ga_s2bm_ard_3-2-1_50JNS_2021-09-08_final
2021-10-05 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2021-10-05_final
2021-10-25 11:41:55	ga_s2bm_ard_3-2-1_51LVC_2021-10-25_final
2021-11-08 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-11-08_final
2021-12-21 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2021-12-21_final
2022-01-17 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2022-01-17_final
2022-01-17 11:23:45	ga_s2bm_ard_3-2-1_52KBV_2022-01-17_final
2022-01-20 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2022-01-20_final
2022-03-01 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2022-03-01_final
2022-03-08 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2022-03-08_final
2022-03-18 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2022-03-18_final
2022-03-24 11:44:35	ga_s2bm_ard_3-2-1_50JPT_2022-03-24_final
2022-04-13 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2022-04-13_final
2022-04-26 11:55:14	ga_s2bm_ard_3-2-1_50JNQ_2022-04-26_final
2022-05-13 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-05-13_final
2022-05-17 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2022-05-17_final
2022-05-23 11:45:50	ga_s2bm_ard_3-2-1_50JPN_2022-05-23_final
2022-05-29 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-05-29_final
2022-06-03 11:12:06	ga_s2bm_ard_3-2-1_52KDG_2022-06-03_final
2022-07-05 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2022-07-05_final
2022-08-01 11:43:52	ga_s2bm_ard_3-2-1_51KTR_2022-08-01_final
2022-08-02 11:14:10	ga_s2bm_ard_3-2-1_52KCU_2022-08-02_final
2022-09-10 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2022-09-10_final.stac-item
2022-10-01 11:15:17	ga_s2bm_ard_3-2-1_52JCP_2022-10-01_final.stac-item
2022-10-30 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2022-10-30_final.stac-item
2022-11-23 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2022-11-23_final.stac-item
2022-11-29 13:21:44	ga_s2bm_ard_3-2-1_46LHM_2022-11-29_interim.stac-item
2022-12-16 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2022-12-16_final.stac-item
2022-12-30 11:13:24	ga_s2bm_ard_3-2-1_52KBB_2022-12-30_final.stac-item
2023-01-02 11:23:01	ga_s2bm_ard_3-2-1_52KCC_2023-01-02_final.stac-item
2023-02-24 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2023-02-24_final.stac-item
2023-03-20 11:16:38	ga_s2bm_ard_3-2-1_52HBJ_2023-03-20_nrt.stac-item
2023-03-23 11:26:02	ga_s2bm_ard_3-2-1_51JVG_2023-03-23_final.stac-item
2023-03-29 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2023-03-29_final.stac-item
2023-04-01 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-04-01_final.stac-item
2023-04-08 11:41:58	ga_s2bm_ard_3-2-1_51LWC_2023-04-08_final.stac-item
2023-05-26 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2023-05-26_final.stac-item
2023-06-17 11:44:10	ga_s2bm_ard_3-2-1_50KQV_2023-06-17_final.stac-item
2023-06-21 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2023-06-21_final.stac-item
2023-06-27 11:42:03	ga_s2bm_ard_3-2-1_51LVC_2023-06-27_final.stac-item
2023-07-14 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2023-07-14_final.stac-item
2023-09-28 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2023-09-28_final.stac-item
2023-10-24 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-24_final.stac-item
2024-01-24 11:16:19	ga_s2bm_ard_3-2-1_52HBK_2024-01-24_final.stac-item
2024-01-30 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2024-01-30_final.stac-item
2024-02-19 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2024-02-19_final.stac-item
2024-03-01 11:03:03	ga_s2bm_ard_3-2-1_52KEC_2024-03-01_final.stac-item
2024-03-07 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2024-03-07_final.stac-item
2024-03-24 11:15:39	ga_s2bm_ard_3-2-1_51JYH_2024-03-24_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