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
2017-07-13 10:47:25	ga_s2bm_ard_3-2-1_53LMC_2017-07-13_final
2017-08-18 11:12:12	ga_s2bm_ard_3-2-1_52KED_2017-08-18_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KXA_2017-09-23_final
2017-12-12 09:51:43	ga_s2bm_ard_3-2-1_55HCD_2017-12-12_final
2018-03-23 10:57:10	ga_s2bm_ard_3-2-1_52JET_2018-03-23_final
2018-05-16 10:37:25	ga_s2bm_ard_3-2-1_53JNM_2018-05-16_final
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52LFJ_2018-05-25_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54KXF_2018-06-09_final
2018-06-12 10:27:06	ga_s2bm_ard_3-2-1_54KTC_2018-06-12_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JMS_2018-07-06_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KXP_2018-08-16_final
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52LHK_2018-08-20_final
2018-08-23 11:07:12	ga_s2bm_ard_3-2-1_52KED_2018-08-23_final
2018-09-04 10:13:35	ga_s2bm_ard_3-2-1_54JXQ_2018-09-04_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JMJ_2018-09-23_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HNJ_2018-10-01_final
2018-10-04 10:13:40	ga_s2bm_ard_3-2-1_54JWQ_2018-10-04_final
2018-10-27 10:17:03	ga_s2bm_ard_3-2-1_54KWE_2018-10-27_final
2018-12-06 12:04:08	ga_s2bm_ard_3-2-1_50KKV_2018-12-06_final
2018-12-14 11:24:34	ga_s2bm_ard_3-2-1_51JXM_2018-12-14_final
2019-01-12 10:14:24	ga_s2bm_ard_3-2-1_54JXR_2019-01-12_final
2019-02-18 11:45:35	ga_s2bm_ard_3-2-1_50JPP_2019-02-18_final
2019-02-25 09:56:04	ga_s2bm_ard_3-2-1_55HCD_2019-02-25_final
2019-03-08 11:06:18	ga_s2bm_ard_3-2-1_52HCK_2019-03-08_final.stac-item
2019-03-15 10:54:38	ga_s2bm_ard_3-2-1_53JKL_2019-03-15_final
2019-04-16 11:32:31	ga_s2bm_ard_3-2-1_51KXA_2019-04-16_final
2019-04-16 11:33:33	ga_s2bm_ard_3-2-1_51KWS_2019-04-16_final
2019-05-30 11:11:57	ga_s2bm_ard_3-2-1_52LEH_2019-05-30_final
2019-06-09 11:12:39	ga_s2bm_ard_3-2-1_52KEE_2019-06-09_final
2019-06-11 10:12:47	ga_s2bm_ard_3-2-1_54KYC_2019-06-11_final
2019-06-11 10:14:18	ga_s2bm_ard_3-2-1_54JXS_2019-06-11_final
2019-06-16 11:04:36	ga_s2bm_ard_3-2-1_52JFS_2019-06-16_final
2019-07-02 11:22:31	ga_s2bm_ard_3-2-1_52KBF_2019-07-02_final
2019-08-17 10:04:13	ga_s2bm_ard_3-2-1_54JZS_2019-08-17_final
2019-08-18 11:13:10	ga_s2bm_ard_3-2-1_52KDC_2019-08-18_final
2019-10-03 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2019-10-03_final
2019-11-07 10:44:53	ga_s2bm_ard_3-2-1_53JMK_2019-11-07_final
2019-11-08 10:14:28	ga_s2bm_ard_3-2-1_54JWR_2019-11-08_final
2020-01-01 09:56:00	ga_s2bm_ard_3-2-1_55HCD_2020-01-01_final
2020-01-05 11:10:27	ga_s2bm_ard_3-2-1_52LFN_2020-01-05_final.stac-item
2020-01-28 09:45:40	ga_s2bm_ard_3-2-1_55HEE_2020-01-28_final
2020-02-06 10:15:38	ga_s2bm_ard_3-2-1_54JVL_2020-02-06_final
2020-03-05 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2020-03-05_final
2020-03-14 10:04:52	ga_s2bm_ard_3-2-1_54JYP_2020-03-14_final
2020-03-17 10:13:24	ga_s2bm_ard_3-2-1_54KXV_2020-03-17_final
2020-05-27 11:22:24	ga_s2bm_ard_3-2-1_51KZA_2020-05-27_final
2020-06-21 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2020-06-21_final
2020-07-05 10:14:45	ga_s2bm_ard_3-2-1_54JWQ_2020-07-05_final
2020-07-12 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2020-07-12_final
2020-07-27 10:52:26	ga_s2bm_ard_3-2-1_53KMV_2020-07-27_final
2020-08-05 11:22:12	ga_s2bm_ard_3-2-1_51KZB_2020-08-05_final
2020-08-08 09:57:54	ga_s2bm_ard_3-2-1_54HYB_2020-08-08_final
2020-08-15 11:24:40	ga_s2bm_ard_3-2-1_51JYM_2020-08-15_final
2020-09-13 10:12:13	ga_s2bm_ard_3-2-1_54KYE_2020-09-13_final
2020-10-06 10:25:50	ga_s2bm_ard_3-2-1_54JTL_2020-10-06_final
2020-10-17 09:56:41	ga_s2bm_ard_3-2-1_55HBB_2020-10-17_final
2020-10-29 10:33:34	ga_s2bm_ard_3-2-1_53KRQ_2020-10-29_final
2021-04-12 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2021-04-12_final
2021-05-14 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2021-05-14_final
2021-06-04 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2021-06-04_final
2021-06-09 10:44:58	ga_s2bm_ard_3-2-1_53JLK_2021-06-09_final
2021-07-07 10:05:07	ga_s2bm_ard_3-2-1_55JBH_2021-07-07_final
2021-08-04 11:04:19	ga_s2bm_ard_3-2-1_52JET_2021-08-04_final
2021-09-02 09:55:47	ga_s2bm_ard_3-2-1_55HCE_2021-09-02_final
2021-09-11 10:24:12	ga_s2bm_ard_3-2-1_54JUS_2021-09-11_final
2021-09-24 10:32:31	ga_s2bm_ard_3-2-1_54KTD_2021-09-24_final
2021-10-08 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2021-10-08_final
2021-10-15 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2021-10-15_final
2021-11-17 10:13:07	ga_s2bm_ard_3-2-1_54KYA_2021-11-17_final
2021-11-30 10:23:24	ga_s2bm_ard_3-2-1_54KVV_2021-11-30_final
2021-12-11 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2021-12-11_final
2022-01-09 10:22:24	ga_s2bm_ard_3-2-1_54KWD_2022-01-09_final
2022-01-16 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2022-01-16_final
2022-02-05 11:55:00	ga_s2bm_ard_3-2-1_50JNR_2022-02-05_final
2022-05-02 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2022-05-02_final
2022-05-20 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2022-05-20_final
2022-06-08 10:23:01	ga_s2bm_ard_3-2-1_54KVB_2022-06-08_final
2022-06-15 10:13:41	ga_s2bm_ard_3-2-1_54KYU_2022-06-15_final
2022-07-21 10:34:09	ga_s2bm_ard_3-2-1_53JQN_2022-07-21_final
2022-08-30 10:33:03	ga_s2bm_ard_3-2-1_54KTB_2022-08-30_final
2022-09-22 10:44:25	ga_s2bm_ard_3-2-1_53JMM_2022-09-22_final.stac-item
2023-02-14 09:56:03	ga_s2bm_ard_3-2-1_55HCD_2023-02-14_final.stac-item
2023-03-06 11:30:29	ga_s2bm_ard_3-2-1_51LYJ_2023-03-06_nrt.stac-item
2023-05-03 10:51:57	ga_s2bm_ard_3-2-1_53KMB_2023-05-03_final.stac-item
2023-05-19 11:15:44	ga_s2bm_ard_3-2-1_51JYH_2023-05-19_final.stac-item
2023-05-31 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2023-05-31_final.stac-item
2023-06-03 10:23:00	ga_s2bm_ard_3-2-1_54KWB_2023-06-03_final.stac-item
2023-06-05 11:01:47	ga_s2bm_ard_3-2-1_52LHH_2023-06-05_final.stac-item
2023-06-10 10:15:02	ga_s2bm_ard_3-2-1_54JWP_2023-06-10_final.stac-item
2023-06-20 10:15:30	ga_s2bm_ard_3-2-1_54JWM_2023-06-20_final.stac-item
2023-07-03 10:23:34	ga_s2bm_ard_3-2-1_54KVV_2023-07-03_final.stac-item
2023-07-30 10:16:04	ga_s2bm_ard_3-2-1_54HVK_2023-07-30_final.stac-item
2023-08-15 10:33:08	ga_s2bm_ard_3-2-1_53KRS_2023-08-15_final.stac-item
2023-08-25 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-08-25_final.stac-item
2023-11-17 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2023-11-17_final.stac-item
2023-11-25 11:15:17	ga_s2bm_ard_3-2-1_52JBP_2023-11-25_final.stac-item
2024-01-14 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2024-01-14_final.stac-item
2024-01-16 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2024-01-16_final.stac-item
2024-03-15 10:44:22	ga_s2bm_ard_3-2-1_53JMM_2024-03-15_final.stac-item
2024-03-21 11:01:28	ga_s2bm_ard_3-2-1_52LHJ_2024-03-21_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