Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

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_50JQS_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQT_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPS_2017-09-09_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGN_2017-11-24_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-11-24_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHP_2017-11-24_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JRS_2017-11-25_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JKM_2017-11-28_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPR_2017-11-28_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KMA_2017-12-08_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JMT_2017-12-11_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JQR_2017-12-15_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNM_2017-12-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KMB_2017-12-18_final.stac-item
2018-11-06 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2018-11-06_final.stac-item
2018-11-06 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2018-11-06_final.stac-item
2018-11-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-09_final.stac-item
2018-11-19 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-11-19_final.stac-item
2018-11-23 11:54:05	ga_s2bm_ard_3-2-1_50KNV_2018-11-23_final.stac-item
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2018-11-29_final.stac-item
2018-11-30 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2018-11-30_final.stac-item
2018-12-03 11:54:43	ga_s2bm_ard_3-2-1_50JPS_2018-12-03_final.stac-item
2018-12-09 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2018-12-09_final.stac-item
2018-12-16 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2018-12-16_final.stac-item
2018-12-20 11:45:27	ga_s2bm_ard_3-2-1_50JQP_2018-12-20_final.stac-item
2018-12-23 11:55:02	ga_s2bm_ard_3-2-1_50JNR_2018-12-23_final.stac-item
2018-12-23 11:55:30	ga_s2bm_ard_3-2-1_50JNP_2018-12-23_final.stac-item
2018-12-26 12:04:06	ga_s2bm_ard_3-2-1_50KLV_2018-12-26_final.stac-item
2018-12-26 12:04:21	ga_s2bm_ard_3-2-1_50KLU_2018-12-26_final.stac-item
2018-12-30 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2018-12-30_final.stac-item
2019-01-02 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2019-01-02_final.stac-item
2019-01-05 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2019-01-05_final.stac-item
2019-01-05 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2019-01-05_final.stac-item
2019-01-09 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2019-01-09_final.stac-item
2019-01-15 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2019-01-15_final.stac-item
2019-01-15 12:04:21	ga_s2bm_ard_3-2-1_50KMU_2019-01-15_final.stac-item
2019-01-22 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2019-01-22_final.stac-item
2019-01-25 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2019-01-25_final.stac-item
2019-01-29 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2019-01-29_final.stac-item
2019-02-25 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2019-02-25_final.stac-item
2019-11-08 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2019-11-08_final.stac-item
2019-11-08 11:54:23	ga_s2bm_ard_3-2-1_50JQT_2019-11-08_final.stac-item
2019-11-21 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2019-11-21_final.stac-item
2019-11-24 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2019-11-24_final.stac-item
2019-11-25 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2019-11-25_final.stac-item
2019-11-25 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2019-11-25_final.stac-item
2019-11-28 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2019-11-28_final.stac-item
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_50KNA_2019-12-31_final.stac-item
2020-01-14 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2020-01-14_final.stac-item
2020-07-22 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-07-22_final.stac-item
2020-09-26 12:03:47	ga_s2bm_ard_3-2-1_50KNA_2020-09-26_final.stac-item
2020-10-03 11:53:53	ga_s2bm_ard_3-2-1_50KPA_2020-10-03_final.stac-item
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_50KNA_2020-10-16_final.stac-item
2020-10-19 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2020-10-19_final.stac-item
2020-10-20 11:45:25	ga_s2bm_ard_3-2-1_50JPQ_2020-10-20_final.stac-item
2020-10-20 11:46:20	ga_s2bm_ard_3-2-1_50JML_2020-10-20_final.stac-item
2020-10-29 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-10-29_final.stac-item
2020-11-02 11:53:59	ga_s2bm_ard_3-2-1_50KMA_2020-11-02_final.stac-item
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-11-08_final.stac-item
2020-11-09 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2020-11-09_final.stac-item
2020-11-22 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2020-11-22_final.stac-item
2020-11-25 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2020-11-25_final.stac-item
2020-11-28 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-11-28_final.stac-item
2020-11-28 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2020-11-28_final.stac-item
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final.stac-item
2020-12-12 11:53:40	ga_s2bm_ard_3-2-1_50KMB_2020-12-12_final.stac-item
2020-12-22 11:53:32	ga_s2bm_ard_3-2-1_50KPB_2020-12-22_final.stac-item
2021-01-07 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-01-07_final.stac-item
2021-01-18 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-01-18_final.stac-item
2021-03-05 12:03:32	ga_s2bm_ard_3-2-1_50KNB_2021-03-05_final.stac-item
2021-03-05 12:03:37	ga_s2bm_ard_3-2-1_50KMB_2021-03-05_final.stac-item
2021-03-19 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-03-19_final.stac-item
2021-06-27 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2021-06-27_final.stac-item
2021-06-30 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2021-06-30_final.stac-item
2021-07-14 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2021-07-14_final
2021-08-09 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2021-08-09_final.stac-item
2021-08-19 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2021-08-19_final.stac-item
2021-08-19 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-08-19_final.stac-item
2021-10-02 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2021-10-02_final.stac-item
2021-11-01 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2021-11-01_final.stac-item
2021-11-14 11:44:37	ga_s2bm_ard_3-2-1_50JPT_2021-11-14_final.stac-item
2021-11-14 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2021-11-14_final.stac-item
2021-11-14 11:44:51	ga_s2bm_ard_3-2-1_50JPS_2021-11-14_final.stac-item
2021-11-14 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-11-14_final.stac-item
2021-11-17 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2021-11-17_final.stac-item
2021-12-04 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2021-12-04_final.stac-item
2021-12-07 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2021-12-07_final.stac-item
2021-12-07 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2021-12-07_final
2022-01-30 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-01-30_final.stac-item
2022-03-13 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final.stac-item
2022-03-27 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2022-03-27_final.stac-item
2023-01-08 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-08_final.stac-item
2023-01-11 11:54:04	ga_s2bm_ard_3-2-1_50KNV_2023-01-11_final.stac-item
2023-01-11 11:54:18	ga_s2bm_ard_3-2-1_50KNU_2023-01-11_final.stac-item
2023-01-21 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2023-01-21_final.stac-item
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final
2023-04-28 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2023-04-28_final
2023-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-17_final
2023-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-11-04_final
2023-12-21 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2023-12-21_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years