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
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWJ_2017-12-29_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWK_2017-12-29_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWL_2017-12-29_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWM_2017-12-29_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWN_2017-12-29_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51LWC_2018-01-04_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51LWE_2018-01-04_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51LWC_2018-01-14_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51LWE_2018-01-14_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51HWD_2018-07-04_final.stac-item
2021-10-26 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-10-26_final.stac-item
2021-10-26 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2021-10-26_final
2021-10-26 11:17:09	ga_s2bm_ard_3-2-1_51HWB_2021-10-26_final
2021-10-29 11:24:31	ga_s2bm_ard_3-2-1_51JWN_2021-10-29_final.stac-item
2021-10-29 11:24:45	ga_s2bm_ard_3-2-1_51JWM_2021-10-29_final.stac-item
2021-10-29 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2021-10-29_final.stac-item
2021-10-29 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2021-10-29_final.stac-item
2021-10-29 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2021-10-29_final.stac-item
2021-10-29 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2021-10-29_final.stac-item
2021-10-29 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2021-10-29_final.stac-item
2021-10-29 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2021-10-29_final.stac-item
2021-10-29 11:26:27	ga_s2bm_ard_3-2-1_51HWE_2021-10-29_final.stac-item
2021-10-29 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2021-10-29_final.stac-item
2021-10-29 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2021-10-29_final
2021-10-29 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2021-10-29_final
2021-11-04 11:40:58	ga_s2bm_ard_3-2-1_51LWG_2021-11-04_final
2021-11-04 11:41:27	ga_s2bm_ard_3-2-1_51LWE_2021-11-04_final.stac-item
2021-11-04 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2021-11-04_final.stac-item
2021-11-05 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-11-05_final.stac-item
2021-11-05 11:16:59	ga_s2bm_ard_3-2-1_51HWC_2021-11-05_final
2021-11-05 11:17:08	ga_s2bm_ard_3-2-1_51HWB_2021-11-05_final
2021-11-08 11:24:23	ga_s2bm_ard_3-2-1_51JWN_2021-11-08_final.stac-item
2021-11-14 11:40:56	ga_s2bm_ard_3-2-1_51LWG_2021-11-14_final
2021-11-14 11:41:25	ga_s2bm_ard_3-2-1_51LWE_2021-11-14_final.stac-item
2021-11-14 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-11-14_final.stac-item
2021-11-15 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2021-11-15_final.stac-item
2021-11-15 11:16:57	ga_s2bm_ard_3-2-1_51HWC_2021-11-15_final
2021-11-15 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2021-11-15_final
2021-11-18 11:24:27	ga_s2bm_ard_3-2-1_51JWN_2021-11-18_final.stac-item
2021-11-18 11:24:42	ga_s2bm_ard_3-2-1_51JWM_2021-11-18_final.stac-item
2021-11-18 11:24:56	ga_s2bm_ard_3-2-1_51JWL_2021-11-18_final.stac-item
2021-11-18 11:25:03	ga_s2bm_ard_3-2-1_51JWL_2021-11-18_final.stac-item
2021-11-18 11:25:03	ga_s2bm_ard_3-2-1_51JWK_2021-11-18_final.stac-item
2021-11-18 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2021-11-18_final.stac-item
2021-11-18 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2021-11-18_final.stac-item
2021-11-18 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2021-11-18_final.stac-item
2021-11-18 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2021-11-18_final.stac-item
2021-11-18 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2021-11-18_final.stac-item
2021-11-18 11:26:24	ga_s2bm_ard_3-2-1_51HWE_2021-11-18_final.stac-item
2021-11-18 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2021-11-18_final.stac-item
2021-11-24 11:40:53	ga_s2bm_ard_3-2-1_51LWG_2021-11-24_final
2021-11-24 11:41:22	ga_s2bm_ard_3-2-1_51LWE_2021-11-24_final.stac-item
2021-11-24 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2021-11-24_final.stac-item
2021-11-25 11:16:40	ga_s2bm_ard_3-2-1_51HWD_2021-11-25_final.stac-item
2021-11-25 11:16:54	ga_s2bm_ard_3-2-1_51HWC_2021-11-25_final
2021-11-25 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2021-11-25_final
2022-08-02 11:17:12	ga_s2bm_ard_3-2-1_51HWB_2022-08-02_final
2022-08-15 11:24:32	ga_s2bm_ard_3-2-1_51JWN_2022-08-15_final.stac-item
2022-08-15 11:24:47	ga_s2bm_ard_3-2-1_51JWM_2022-08-15_final.stac-item
2022-08-15 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2022-08-15_final.stac-item
2022-08-15 11:25:16	ga_s2bm_ard_3-2-1_51JWK_2022-08-15_final.stac-item
2022-08-15 11:25:31	ga_s2bm_ard_3-2-1_51JWJ_2022-08-15_final.stac-item
2022-08-15 11:25:45	ga_s2bm_ard_3-2-1_51JWH_2022-08-15_final.stac-item
2022-08-15 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2022-08-15_final.stac-item
2022-08-15 11:26:14	ga_s2bm_ard_3-2-1_51JWF_2022-08-15_final.stac-item
2022-08-15 11:26:29	ga_s2bm_ard_3-2-1_51HWE_2022-08-15_final.stac-item
2022-08-18 11:32:02	ga_s2bm_ard_3-2-1_51LWC_2022-08-18_final.stac-item
2022-08-18 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2022-08-18_final.stac-item
2022-08-18 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2022-08-18_final.stac-item
2022-08-18 11:32:46	ga_s2bm_ard_3-2-1_51KWV_2022-08-18_final.stac-item
2022-08-18 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2022-08-18_final.stac-item
2022-08-18 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2022-08-18_final.stac-item
2022-08-18 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2022-08-18_final.stac-item
2022-08-18 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2022-08-18_final.stac-item
2022-08-18 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2022-08-18_final.stac-item
2022-08-18 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2022-08-18_final.stac-item
2022-08-18 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2022-08-18_final.stac-item
2022-08-28 11:32:00	ga_s2bm_ard_3-2-1_51LWC_2022-08-28_final.stac-item
2022-08-28 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2022-08-28_final.stac-item
2022-08-28 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2022-08-28_final.stac-item
2022-08-28 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2022-08-28_final.stac-item
2022-08-28 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-08-28_final.stac-item
2022-08-28 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2022-08-28_final.stac-item
2022-08-28 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2022-08-28_final.stac-item
2022-08-28 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2022-08-28_final.stac-item
2022-08-28 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2022-08-28_final.stac-item
2022-08-31 11:41:27	ga_s2bm_ard_3-2-1_51LWE_2022-08-31_final.stac-item
2022-08-31 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2022-08-31_final.stac-item
2022-09-07 11:32:02	ga_s2bm_ard_3-2-1_51LWC_2022-09-07_final.stac-item
2022-09-07 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2022-09-07_final.stac-item
2022-09-07 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2022-09-07_final.stac-item
2022-09-07 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2022-09-07_final.stac-item
2022-09-07 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2022-09-07_final.stac-item
2022-09-07 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2022-09-07_final.stac-item
2022-09-07 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2022-09-07_final.stac-item
2022-09-07 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2022-09-07_final.stac-item
2022-09-07 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2022-09-07_final.stac-item
2022-09-07 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2022-09-07_final.stac-item
2022-09-07 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2022-09-07_final.stac-item
2022-09-07 11:34:41	ga_s2bm_ard_3-2-1_51JWM_2022-09-07_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years