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
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVB_2017-10-13_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HVC_2017-11-29_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVS_2017-12-12_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KVT_2018-01-04_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KPF_2018-01-07_final.stac-item
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HVC_2018-01-08_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KVS_2018-01-21_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KTU_2018-01-24_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JPR_2018-02-06_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51JZN_2018-03-09_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51HTC_2018-03-12_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KVT_2018-03-25_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHP_2018-04-20_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUV_2018-05-04_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KUS_2018-06-13_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HTC_2018-06-20_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGJ_2018-07-19_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGM_2018-07-22_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KGP_2018-07-29_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KVS_2018-08-12_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JMM_2018-09-14_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGM_2018-10-30_final
2018-12-27 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2018-12-27_final
2019-02-19 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2019-02-19_final.stac-item
2019-03-24 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2019-03-24_final
2019-04-19 11:43:06	ga_s2bm_ard_3-2-1_51KUU_2019-04-19_final
2019-04-19 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2019-04-19_final
2019-04-29 11:46:12	ga_s2bm_ard_3-2-1_50JPM_2019-04-29_final
2019-06-01 11:52:42	ga_s2bm_ard_3-2-1_50KQF_2019-06-01_final.stac-item
2019-10-02 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2019-10-02_final
2019-10-26 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2019-10-26_final
2019-11-01 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2019-11-01_final
2019-11-02 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2019-11-02_final
2019-11-12 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-11-12_final
2019-12-05 11:43:30	ga_s2bm_ard_3-2-1_51KVR_2019-12-05_final
2019-12-08 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2019-12-08_final
2020-02-29 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2020-02-29_final
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final
2020-03-14 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-03-14_final
2020-05-19 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2020-05-19_final
2020-06-02 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2020-06-02_final
2020-06-05 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-06-05_final
2020-06-19 11:35:19	ga_s2bm_ard_3-2-1_51JWJ_2020-06-19_final
2020-06-29 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2020-06-29_final
2020-08-20 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-08-20_final
2020-08-24 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2020-08-24_final
2020-10-16 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-16_final
2020-10-20 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-10-20_final
2020-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-10-23_final
2020-10-30 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2020-10-30_final
2020-11-29 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2020-11-29_final
2021-02-14 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2021-02-14_final
2021-02-20 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2021-02-20_final
2021-03-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-26_final
2021-04-12 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2021-04-12_final
2021-04-28 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2021-04-28_final
2021-05-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-05-08_final
2021-05-15 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-05-15_final
2021-06-07 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2021-06-07_final
2021-07-21 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2021-07-21_final.stac-item
2021-07-30 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2021-07-30_final
2021-08-03 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-08-03_final
2021-08-07 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2021-08-07_final.stac-item
2021-08-16 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-08-16_final
2021-08-30 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2021-08-30_final
2021-09-15 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2021-09-15_final
2021-10-11 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-10-11_final
2021-11-11 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-11-11_final
2021-11-24 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2021-11-24_final
2021-12-07 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2021-12-07_final
2021-12-08 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2021-12-08_final
2022-02-26 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2022-02-26_final
2022-03-14 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2022-03-14_final
2022-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-03-30_final
2022-04-30 11:32:55	ga_s2bm_ard_3-2-1_51KVU_2022-04-30_final
2022-05-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-05-09_final
2022-05-17 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2022-05-17_final
2022-05-27 11:24:23	ga_s2bm_ard_3-2-1_51JYN_2022-05-27_final
2022-06-09 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2022-06-09_final
2022-08-01 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2022-08-01_final
2022-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2022-08-10_final
2022-09-19 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-09-19_final.stac-item
2022-10-13 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2022-10-13_final.stac-item
2022-11-09 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2022-11-09_final.stac-item
2022-11-12 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2022-11-12_final.stac-item
2022-11-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-25_final.stac-item
2023-04-25 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2023-04-25_final.stac-item
2023-05-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-05-08_final.stac-item
2023-05-11 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2023-05-11_final.stac-item
2023-05-28 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2023-05-28_final.stac-item
2023-06-07 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-06-07_final.stac-item
2023-07-07 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2023-07-07_final.stac-item
2023-09-15 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2023-09-15_final.stac-item
2023-11-01 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-11-01_final.stac-item
2023-11-10 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-11-10_final.stac-item
2023-11-30 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-11-30_final.stac-item
2023-12-27 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2023-12-27_final.stac-item
2023-12-31 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2023-12-31_final.stac-item
2024-03-23 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2024-03-23_final.stac-item
2024-04-12 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2024-04-12_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