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
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51LWE_2017-11-15_final.stac-item
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_51HWD_2017-11-16_final.stac-item
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_51HWE_2017-11-16_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JWJ_2017-11-19_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JWK_2017-11-19_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JWL_2017-11-19_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JWM_2017-11-19_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JWN_2017-11-19_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KWP_2017-11-19_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KWQ_2017-11-19_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51LWE_2017-11-25_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JWJ_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JWK_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JWL_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JWM_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JWN_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KWP_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KWQ_2017-11-29_final.stac-item
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_51HWD_2017-12-06_final.stac-item
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_51HWE_2017-12-06_final.stac-item
2018-12-27 11:31:19	ga_s2bm_ard_3-2-1_51LWE_2018-12-27_final.stac-item
2018-12-27 11:31:27	ga_s2bm_ard_3-2-1_51LWE_2018-12-27_final.stac-item
2018-12-27 11:31:57	ga_s2bm_ard_3-2-1_51LWC_2018-12-27_final.stac-item
2018-12-27 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2018-12-27_final.stac-item
2018-12-27 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2018-12-27_final.stac-item
2018-12-27 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2018-12-27_final.stac-item
2018-12-27 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2018-12-27_final.stac-item
2018-12-27 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2018-12-27_final.stac-item
2018-12-27 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2018-12-27_final.stac-item
2018-12-27 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2018-12-27_final.stac-item
2018-12-27 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2018-12-27_final.stac-item
2018-12-27 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2018-12-27_final.stac-item
2018-12-27 11:34:21	ga_s2bm_ard_3-2-1_51JWN_2018-12-27_final.stac-item
2018-12-27 11:34:36	ga_s2bm_ard_3-2-1_51JWM_2018-12-27_final.stac-item
2018-12-31 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2018-12-31_final.stac-item
2018-12-31 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2018-12-31_final.stac-item
2019-06-09 11:16:38	ga_s2bm_ard_3-2-1_51HWE_2019-06-09_final.stac-item
2019-06-09 11:16:52	ga_s2bm_ard_3-2-1_51HWD_2019-06-09_final.stac-item
2019-06-19 11:16:38	ga_s2bm_ard_3-2-1_51HWE_2019-06-19_final.stac-item
2019-06-19 11:16:52	ga_s2bm_ard_3-2-1_51HWD_2019-06-19_final.stac-item
2019-07-02 11:24:10	ga_s2bm_ard_3-2-1_51KWQ_2019-07-02_final.stac-item
2019-07-02 11:24:23	ga_s2bm_ard_3-2-1_51KWP_2019-07-02_final.stac-item
2019-07-02 11:24:38	ga_s2bm_ard_3-2-1_51JWN_2019-07-02_final.stac-item
2019-07-02 11:24:53	ga_s2bm_ard_3-2-1_51JWM_2019-07-02_final.stac-item
2019-07-02 11:25:07	ga_s2bm_ard_3-2-1_51JWL_2019-07-02_final.stac-item
2019-07-02 11:25:22	ga_s2bm_ard_3-2-1_51JWK_2019-07-02_final.stac-item
2019-07-02 11:25:36	ga_s2bm_ard_3-2-1_51JWJ_2019-07-02_final.stac-item
2019-07-02 11:25:51	ga_s2bm_ard_3-2-1_51JWH_2019-07-02_final.stac-item
2019-07-02 11:26:05	ga_s2bm_ard_3-2-1_51JWG_2019-07-02_final.stac-item
2019-07-02 11:26:20	ga_s2bm_ard_3-2-1_51JWF_2019-07-02_final.stac-item
2019-07-02 11:26:34	ga_s2bm_ard_3-2-1_51HWE_2019-07-02_final.stac-item
2019-07-02 11:26:49	ga_s2bm_ard_3-2-1_51HWD_2019-07-02_final.stac-item
2019-07-05 11:31:39	ga_s2bm_ard_3-2-1_51LWE_2019-07-05_final.stac-item
2019-07-05 11:32:09	ga_s2bm_ard_3-2-1_51LWC_2019-07-05_final.stac-item
2019-07-05 11:32:23	ga_s2bm_ard_3-2-1_51KWB_2019-07-05_final.stac-item
2019-07-05 11:32:38	ga_s2bm_ard_3-2-1_51KWA_2019-07-05_final.stac-item
2019-07-05 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2019-07-05_final.stac-item
2019-07-05 11:32:56	ga_s2bm_ard_3-2-1_51KWV_2019-07-05_final.stac-item
2019-07-05 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-07-05_final.stac-item
2019-07-05 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-07-05_final.stac-item
2019-07-05 11:33:36	ga_s2bm_ard_3-2-1_51KWS_2019-07-05_final.stac-item
2019-07-05 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-05_final.stac-item
2019-07-05 11:34:05	ga_s2bm_ard_3-2-1_51KWQ_2019-07-05_final.stac-item
2019-07-05 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-07-05_final.stac-item
2019-07-05 11:34:34	ga_s2bm_ard_3-2-1_51JWN_2019-07-05_final.stac-item
2019-07-05 11:34:48	ga_s2bm_ard_3-2-1_51JWM_2019-07-05_final.stac-item
2019-07-12 11:26:49	ga_s2bm_ard_3-2-1_51HWD_2019-07-12_final.stac-item
2019-07-15 11:34:34	ga_s2bm_ard_3-2-1_51JWN_2019-07-15_final.stac-item
2019-07-15 11:34:48	ga_s2bm_ard_3-2-1_51JWM_2019-07-15_final.stac-item
2019-08-28 11:16:35	ga_s2bm_ard_3-2-1_51HWE_2019-08-28_final.stac-item
2019-08-28 11:16:48	ga_s2bm_ard_3-2-1_51HWD_2019-08-28_final.stac-item
2019-09-07 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2019-09-07_final.stac-item
2019-10-13 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2019-10-13_final.stac-item
2019-10-13 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2019-10-13_final.stac-item
2019-10-13 11:34:41	ga_s2bm_ard_3-2-1_51JWM_2019-10-13_final.stac-item
2019-10-17 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2019-10-17_final.stac-item
2020-04-04 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2020-04-04_final.stac-item
2020-04-04 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2020-04-04_final.stac-item
2020-04-14 11:16:26	ga_s2bm_ard_3-2-1_51HWE_2020-04-14_final.stac-item
2020-04-14 11:16:40	ga_s2bm_ard_3-2-1_51HWD_2020-04-14_final.stac-item
2020-04-14 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2020-04-14_final
2023-07-04 11:31:23	ga_s2bm_ard_3-2-1_51LWF_2023-07-04_nrt
2023-07-04 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2023-07-04_final
2023-07-04 11:33:18	ga_s2bm_ard_3-2-1_51KWT_2023-07-04_final
2023-07-04 11:33:33	ga_s2bm_ard_3-2-1_51KWS_2023-07-04_final
2023-07-04 11:33:47	ga_s2bm_ard_3-2-1_51KWR_2023-07-04_final
2023-07-04 11:34:02	ga_s2bm_ard_3-2-1_51KWQ_2023-07-04_final
2023-07-04 11:34:16	ga_s2bm_ard_3-2-1_51KWP_2023-07-04_final
2023-07-04 11:34:30	ga_s2bm_ard_3-2-1_51JWN_2023-07-04_final
2023-07-04 11:34:45	ga_s2bm_ard_3-2-1_51JWM_2023-07-04_final
2023-07-07 11:40:34	ga_s2bm_ard_3-2-1_51LWJ_2023-07-07_nrt
2023-07-07 11:40:48	ga_s2bm_ard_3-2-1_51LWH_2023-07-07_nrt
2023-07-07 11:41:03	ga_s2bm_ard_3-2-1_51LWG_2023-07-07_final
2023-07-07 11:41:17	ga_s2bm_ard_3-2-1_51LWF_2023-07-07_nrt
2023-07-07 11:41:31	ga_s2bm_ard_3-2-1_51LWE_2023-07-07_final
2023-07-07 11:41:46	ga_s2bm_ard_3-2-1_51LWD_2023-07-07_nrt
2023-07-08 11:16:36	ga_s2bm_ard_3-2-1_51HWE_2023-07-08_final
2023-07-08 11:16:49	ga_s2bm_ard_3-2-1_51HWD_2023-07-08_final
2023-07-08 11:17:04	ga_s2bm_ard_3-2-1_51HWC_2023-07-08_final
2023-07-08 11:17:11	ga_s2bm_ard_3-2-1_51HWB_2023-07-08_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