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
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-07_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KWP_2017-07-25_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JLP_2017-08-20_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2017-09-02_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVM_2017-10-13_final
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KUU_2017-11-05_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_50KKB_2017-12-14_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-12-21_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_50KKA_2017-12-24_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KNB_2018-01-17_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JQT_2018-01-24_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_51HUD_2018-02-10_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KWP_2018-03-02_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HPJ_2018-03-12_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51HYE_2018-03-26_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51JUJ_2018-04-01_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KVS_2018-04-04_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNH_2018-08-02_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50KRB_2018-08-22_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_50KKA_2018-09-30_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-10-27_final
2018-11-10 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2018-11-10_final
2018-11-16 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-16_final
2018-12-03 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2018-12-03_final
2019-01-09 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2019-01-09_final
2019-02-01 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2019-02-01_final
2019-02-04 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-02-04_final
2019-04-09 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2019-04-09_final
2019-05-09 11:44:31	ga_s2bm_ard_3-2-1_50KPU_2019-05-09_final
2019-07-07 12:14:03	ga_s2bm_ard_3-2-1_50KKA_2019-07-07_final
2019-07-14 12:03:32	ga_s2bm_ard_3-2-1_50KMC_2019-07-14_final
2019-08-17 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2019-08-17_final
2019-12-05 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2019-12-05_final
2019-12-25 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2019-12-25_final
2020-01-01 11:36:09	ga_s2bm_ard_3-2-1_51JUF_2020-01-01_final
2020-01-04 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2020-01-04_final
2020-02-07 11:26:34	ga_s2bm_ard_3-2-1_51HWD_2020-02-07_final
2020-03-07 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-03-07_final
2020-04-07 11:26:26	ga_s2bm_ard_3-2-1_51HVE_2020-04-07_final
2020-04-20 11:36:38	ga_s2bm_ard_3-2-1_51HUD_2020-04-20_final
2020-04-22 12:15:14	ga_s2bm_ard_3-2-1_49JGK_2020-04-22_final
2020-05-06 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-05-06_final
2020-05-29 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-05-29_final
2020-06-02 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2020-06-02_final
2020-07-06 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2020-07-06_final
2020-08-01 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-08-01_final
2020-08-21 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-08-21_final
2020-09-07 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-09-07_final
2020-09-27 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-09-27_final
2020-10-10 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2020-10-10_final
2020-10-17 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2020-10-17_final
2020-11-03 11:26:20	ga_s2bm_ard_3-2-1_51JUF_2020-11-03_final
2020-12-19 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2020-12-19_final
2021-01-07 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2021-01-07_final
2021-01-28 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2021-01-28_final
2021-04-01 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2021-04-01_final
2021-04-22 11:25:36	ga_s2bm_ard_3-2-1_51JWH_2021-04-22_final
2021-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-28_final.stac-item
2021-05-31 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-05-31_final
2021-06-03 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-03_final
2021-06-27 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2021-06-27_final
2021-07-07 11:45:41	ga_s2bm_ard_3-2-1_50JNP_2021-07-07_final
2021-07-16 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2021-07-16_final
2021-07-27 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-27_final
2021-07-31 11:26:20	ga_s2bm_ard_3-2-1_51JUF_2021-07-31_final
2021-10-12 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-10-12_final
2021-12-01 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2021-12-01_final
2021-12-07 11:53:34	ga_s2bm_ard_3-2-1_50KNB_2021-12-07_final
2022-01-13 11:42:09	ga_s2bm_ard_3-2-1_51KVB_2022-01-13_final
2022-01-20 11:32:15	ga_s2bm_ard_3-2-1_51KVB_2022-01-20_final
2022-03-28 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2022-03-28_final
2022-04-03 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2022-04-03_final
2022-04-09 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2022-04-09_final
2022-05-23 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2022-05-23_final
2022-05-29 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-29_final
2022-06-18 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2022-06-18_final
2022-06-26 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2022-06-26_final.stac-item
2022-06-29 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2022-06-29_final
2022-09-23 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2022-09-23_final.stac-item
2022-10-17 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2022-10-17_final.stac-item
2022-11-09 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-11-09_final.stac-item
2022-12-28 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-12-28_final.stac-item
2023-01-05 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-01-05_final.stac-item
2023-01-18 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2023-01-18_final.stac-item
2023-02-10 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-02-10_final.stac-item
2023-02-27 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2023-02-27_final.stac-item
2023-03-22 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2023-03-22_final.stac-item
2023-03-28 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-03-28_final.stac-item
2023-07-11 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-07-11_final.stac-item
2023-08-06 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-08-06_final.stac-item
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_50KRD_2023-08-16_final.stac-item
2023-09-18 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2023-09-18_final.stac-item
2023-11-04 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-11-04_final.stac-item
2023-12-14 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2023-12-14_final.stac-item
2023-12-15 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2023-12-15_final.stac-item
2023-12-27 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2023-12-27_final.stac-item
2024-01-06 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2024-01-06_nrt.stac-item
2024-03-06 11:55:15	ga_s2bm_ard_3-2-1_50JNQ_2024-03-06_final.stac-item
2024-03-10 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2024-03-10_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