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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51LWC_2017-08-27_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KWU_2017-11-12_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUP_2017-11-25_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZR_2017-12-09_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KXS_2017-12-22_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMH_2018-02-06_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_50KKA_2018-02-12_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUT_2018-02-13_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50KRD_2018-02-23_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51KZU_2018-02-27_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KVT_2018-03-12_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50JPL_2018-03-12_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KXQ_2018-07-27_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KWS_2018-09-18_final
2018-11-27 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2018-11-27_final
2018-11-30 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2018-11-30_final
2018-12-13 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2018-12-13_final
2018-12-17 11:32:52	ga_s2bm_ard_3-2-1_51KWU_2018-12-17_final
2018-12-17 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2018-12-17_final
2019-01-06 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2019-01-06_final
2019-01-06 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2019-01-06_final
2019-01-06 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2019-01-06_final
2019-01-13 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2019-01-13_final
2019-01-16 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-01-16_final
2019-03-14 11:24:41	ga_s2bm_ard_3-2-1_51JWM_2019-03-14_final
2019-04-19 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2019-04-19_final
2019-05-16 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-05-16_final
2019-06-12 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2019-06-12_final
2019-06-28 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-06-28_final
2019-07-22 11:23:01	ga_s2bm_ard_3-2-1_51KZU_2019-07-22_final
2019-08-04 11:33:06	ga_s2bm_ard_3-2-1_51KWU_2019-08-04_final
2019-08-21 11:24:10	ga_s2bm_ard_3-2-1_51KZP_2019-08-21_final
2019-09-03 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2019-09-03_final
2019-10-13 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2019-10-13_final
2019-11-09 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2019-11-09_final
2019-11-25 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final
2019-12-06 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2019-12-06_final
2019-12-18 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2019-12-18_final
2019-12-25 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2019-12-25_final
2020-01-21 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2020-01-21_final
2020-05-17 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2020-05-17_final
2020-06-06 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2020-06-06_final
2020-06-12 11:43:53	ga_s2bm_ard_3-2-1_50KQA_2020-06-12_final
2020-06-19 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-19_final
2020-06-25 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2020-06-25_final.stac-item
2020-09-14 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-09-14_final
2020-10-07 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2020-10-07_final
2020-10-17 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-10-17_final
2020-11-06 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2020-11-06_final
2020-11-06 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2020-11-06_final
2020-11-09 11:44:29	ga_s2bm_ard_3-2-1_51JUN_2020-11-09_final
2020-11-13 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2020-11-13_final
2020-12-13 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2020-12-13_final
2020-12-19 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-12-19_final
2020-12-29 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2020-12-29_final
2021-01-02 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2021-01-02_final
2021-01-04 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-01-04_final
2021-02-14 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-02-14_final
2021-02-24 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2021-02-24_final
2021-03-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2021-03-29_final
2021-06-28 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2021-06-28_final
2021-07-04 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-07-04_final
2021-08-20 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-08-20_final
2021-08-20 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-08-20_final
2021-09-22 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2021-09-22_final
2021-10-12 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-10-12_final
2021-10-26 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2021-10-26_final
2021-10-29 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2021-10-29_final
2021-12-08 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2021-12-08_final
2021-12-17 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2021-12-17_final
2022-01-13 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2022-01-13_final
2022-02-06 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2022-02-06_final
2022-02-26 11:23:17	ga_s2bm_ard_3-2-1_51KZS_2022-02-26_final
2022-03-18 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2022-03-18_final
2022-03-18 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2022-03-18_final
2022-03-28 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2022-03-28_final
2022-04-07 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2022-04-07_final
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2022-08-31_final
2022-10-04 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2022-10-04_final.stac-item
2022-10-24 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2022-10-24_final.stac-item
2022-11-19 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2022-11-19_final.stac-item
2022-12-16 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2022-12-16_final.stac-item
2022-12-16 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2022-12-16_final.stac-item
2022-12-16 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-12-16_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-24_final.stac-item
2023-02-01 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2023-02-01_final.stac-item
2023-02-14 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2023-02-14_final.stac-item
2023-02-27 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2023-02-27_final.stac-item
2023-05-15 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-05-15_final.stac-item
2023-07-17 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2023-07-17_final.stac-item
2023-07-31 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2023-07-31_final.stac-item
2023-08-03 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-08-03_final.stac-item
2023-08-10 11:23:19	ga_s2bm_ard_3-2-1_51KXT_2023-08-10_final.stac-item
2023-09-15 11:41:58	ga_s2bm_ard_3-2-1_51LWC_2023-09-15_final.stac-item
2023-10-29 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-10-29_final.stac-item
2023-12-01 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-12-01_final.stac-item
2023-12-21 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2023-12-21_final.stac-item
2024-01-03 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-01-03_final.stac-item
2024-01-27 11:24:10	ga_s2bm_ard_3-2-1_51KXP_2024-01-27_final.stac-item
2024-01-30 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2024-01-30_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