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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KWT_2017-07-05_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KYT_2017-12-22_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JXN_2017-12-29_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51LZD_2018-01-08_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXV_2018-01-11_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JTK_2018-01-31_final
2018-02-27 11:19:00	ga_s2bm_ard_3-2-1_51LZE_2018-02-27_final
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_50KKB_2018-03-04_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KVR_2018-03-12_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVQ_2018-05-21_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JKM_2018-08-05_final
2018-11-24 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2018-11-24_final
2018-12-04 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2018-12-04_final
2018-12-11 11:14:25	ga_s2bm_ard_3-2-1_52JDS_2018-12-11_final
2018-12-17 11:36:08	ga_s2bm_ard_3-2-1_51JUF_2018-12-17_final
2019-04-13 11:24:49	ga_s2bm_ard_3-2-1_51JWM_2019-04-13_final
2019-05-03 11:23:14	ga_s2bm_ard_3-2-1_51KZT_2019-05-03_final
2019-06-07 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2019-06-07_final
2019-07-08 11:46:06	ga_s2bm_ard_3-2-1_51JTG_2019-07-08_final
2019-08-27 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2019-08-27_final
2019-09-03 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2019-09-03_final
2019-10-16 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2019-10-16_final
2019-12-02 11:32:14	ga_s2bm_ard_3-2-1_51KVB_2019-12-02_final
2020-01-08 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2020-01-08_final
2020-01-08 11:25:29	ga_s2bm_ard_3-2-1_51JYH_2020-01-08_final
2020-01-18 11:23:07	ga_s2bm_ard_3-2-1_51KXT_2020-01-18_final
2020-01-28 11:27:00	ga_s2bm_ard_3-2-1_51HTC_2020-01-28_final
2020-01-31 11:33:20	ga_s2bm_ard_3-2-1_51KWS_2020-01-31_final
2020-02-07 11:25:59	ga_s2bm_ard_3-2-1_51JUG_2020-02-07_final
2020-03-01 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2020-03-01_final
2020-03-22 11:05:43	ga_s2bm_ard_3-2-1_52JEM_2020-03-22_final
2020-03-29 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2020-03-29_final
2020-04-16 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2020-04-16_final
2020-06-09 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2020-06-09_final
2020-07-03 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2020-07-03_final
2020-07-15 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2020-07-15_final
2020-09-20 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2020-09-20_final
2020-10-03 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2020-10-03_final
2020-10-11 11:15:14	ga_s2bm_ard_3-2-1_51JYK_2020-10-11_final
2020-10-17 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2020-10-17_final
2020-11-09 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-11-09_final
2020-11-20 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2020-11-20_final
2020-12-16 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2020-12-16_final
2021-01-02 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2021-01-02_final
2021-01-12 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2021-01-12_final
2021-01-12 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2021-01-12_final
2021-02-14 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2021-02-14_final
2021-02-16 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-02-16_final
2021-05-05 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2021-05-05_final
2021-05-12 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-05-12_final
2021-06-21 11:24:12	ga_s2bm_ard_3-2-1_51KXP_2021-06-21_final
2021-07-11 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2021-07-11_final
2021-07-20 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-20_final
2021-07-30 11:54:53	ga_s2bm_ard_3-2-1_50JNS_2021-07-30_final
2021-08-06 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-08-06_final
2021-08-09 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-08-09_final
2021-11-20 12:04:07	ga_s2bm_ard_3-2-1_50KLV_2021-11-20_final
2021-11-22 11:04:21	ga_s2bm_ard_3-2-1_52JGS_2021-11-22_final
2021-12-20 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2021-12-20_final
2021-12-21 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2021-12-21_final
2022-01-20 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2022-01-20_final
2022-03-01 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2022-03-01_final
2022-03-18 11:22:32	ga_s2bm_ard_3-2-1_51KZV_2022-03-18_final
2022-03-31 11:36:20	ga_s2bm_ard_3-2-1_51HVE_2022-03-31_final
2022-04-20 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2022-04-20_final
2022-04-23 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-04-23_final
2022-04-27 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2022-04-27_final
2022-06-29 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2022-06-29_final
2022-07-28 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2022-07-28_final
2022-07-29 11:34:41	ga_s2bm_ard_3-2-1_51JTN_2022-07-29_final
2022-08-28 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2022-08-28_final
2022-09-27 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2022-09-27_final.stac-item
2022-10-30 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2022-10-30_final.stac-item
2022-11-19 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-11-19_final.stac-item
2023-01-05 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2023-01-05_final.stac-item
2023-02-27 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2023-02-27_final.stac-item
2023-05-31 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2023-05-31_final.stac-item
2023-05-31 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-05-31_final.stac-item
2023-06-01 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2023-06-01_final.stac-item
2023-06-21 11:23:11	ga_s2bm_ard_3-2-1_51KZT_2023-06-21_final.stac-item
2023-07-01 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2023-07-01_final.stac-item
2023-07-01 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-07-01_final.stac-item
2023-07-03 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-07-03_final.stac-item
2023-08-30 11:23:29	ga_s2bm_ard_3-2-1_51KYS_2023-08-30_final.stac-item
2023-09-22 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-09-22_final.stac-item
2023-09-22 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2023-09-22_final.stac-item
2023-10-02 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2023-10-02_final.stac-item
2023-10-02 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-10-02_final.stac-item
2023-11-21 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2023-11-21_final.stac-item
2023-12-12 11:05:49	ga_s2bm_ard_3-2-1_52JCM_2023-12-12_final.stac-item
2023-12-12 11:06:30	ga_s2bm_ard_3-2-1_52HBJ_2023-12-12_nrt.stac-item
2023-12-28 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2023-12-28_final.stac-item
2024-01-07 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2024-01-07_final.stac-item
2024-01-24 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2024-01-24_final.stac-item
2024-02-16 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2024-02-16_final.stac-item
2024-03-17 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-03-17_final.stac-item
2024-04-12 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2024-04-12_final.stac-item
2024-04-19 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2024-04-19_final.stac-item
2024-05-06 11:26:20	ga_s2bm_ard_3-2-1_51JUF_2024-05-06_final.stac-item
2024-05-29 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2024-05-29_nrt.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