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
2021-08-02 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2021-08-02_final.stac-item
2021-08-02 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2021-08-02_final.stac-item
2021-08-02 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2021-08-02_final.stac-item
2021-08-02 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2021-08-02_final.stac-item
2021-08-02 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2021-08-02_final.stac-item
2021-08-02 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-08-02_final.stac-item
2021-08-02 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-08-02_final.stac-item
2021-08-02 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-08-02_final.stac-item
2021-08-02 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2021-08-02_final.stac-item
2021-08-02 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2021-08-02_final.stac-item
2021-08-03 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2021-08-03_final.stac-item
2021-08-03 11:34:59	ga_s2bm_ard_3-2-1_51JVL_2021-08-03_final.stac-item
2021-08-03 11:35:35	ga_s2bm_ard_3-2-1_51JTJ_2021-08-03_final.stac-item
2021-08-03 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2021-08-03_final.stac-item
2021-08-03 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2021-08-03_final.stac-item
2021-08-06 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2021-08-06_final.stac-item
2021-08-06 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-08-06_final.stac-item
2021-08-06 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2021-08-06_final.stac-item
2021-08-06 11:45:30	ga_s2bm_ard_3-2-1_51JTJ_2021-08-06_final.stac-item
2021-08-06 11:45:33	ga_s2bm_ard_3-2-1_50JQP_2021-08-06_final.stac-item
2021-08-06 11:45:37	ga_s2bm_ard_3-2-1_50JPP_2021-08-06_final.stac-item
2021-08-06 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2021-08-06_final.stac-item
2021-08-06 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2021-08-06_final.stac-item
2021-08-09 11:52:55	ga_s2bm_ard_3-2-1_51KTU_2021-08-09_final.stac-item
2021-08-09 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2021-08-09_final.stac-item
2021-08-09 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2021-08-09_final.stac-item
2021-08-09 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-08-09_final.stac-item
2021-08-09 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2021-08-09_final.stac-item
2021-08-09 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-08-09_final.stac-item
2021-08-09 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2021-08-09_final.stac-item
2021-08-09 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-08-09_final.stac-item
2021-08-09 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-08-09_final.stac-item
2021-08-09 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-08-09_final.stac-item
2021-08-10 11:25:04	ga_s2bm_ard_3-2-1_51JVL_2021-08-10_final.stac-item
2021-08-12 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2021-08-12_final.stac-item
2021-08-12 12:04:47	ga_s2bm_ard_3-2-1_50JLS_2021-08-12_final.stac-item
2021-08-12 12:04:50	ga_s2bm_ard_3-2-1_50JMS_2021-08-12_final.stac-item
2021-08-12 12:04:54	ga_s2bm_ard_3-2-1_50JLS_2021-08-12_final.stac-item
2021-08-12 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2021-08-12_final.stac-item
2021-08-12 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-08-12_final.stac-item
2021-08-12 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-08-12_final.stac-item
2021-08-12 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-08-12_final.stac-item
2021-08-12 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-08-12_final.stac-item
2021-08-13 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2021-08-13_final.stac-item
2021-08-13 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2021-08-13_final.stac-item
2021-08-13 11:35:19	ga_s2bm_ard_3-2-1_51JTK_2021-08-13_final.stac-item
2021-08-13 11:35:34	ga_s2bm_ard_3-2-1_51JTJ_2021-08-13_final.stac-item
2021-08-13 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2021-08-13_final.stac-item
2021-08-16 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2021-08-16_final.stac-item
2021-08-16 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2021-08-16_final.stac-item
2021-08-16 11:45:29	ga_s2bm_ard_3-2-1_51JTJ_2021-08-16_final.stac-item
2021-08-16 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2021-08-16_final.stac-item
2021-08-16 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2021-08-16_final.stac-item
2021-08-16 11:45:50	ga_s2bm_ard_3-2-1_50JPN_2021-08-16_final.stac-item
2021-08-19 11:52:53	ga_s2bm_ard_3-2-1_51KTU_2021-08-19_final.stac-item
2021-08-19 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-08-19_final.stac-item
2021-08-19 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-08-19_final.stac-item
2021-08-19 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2021-08-19_final.stac-item
2021-08-19 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-08-19_final.stac-item
2021-08-19 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2021-08-19_final.stac-item
2021-08-19 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2021-08-19_final.stac-item
2021-08-19 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-08-19_final.stac-item
2021-08-19 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2021-08-19_final.stac-item
2021-08-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-08-19_final.stac-item
2021-08-19 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-08-19_final.stac-item
2021-08-19 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-08-19_final.stac-item
2021-08-19 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-08-19_final.stac-item
2021-08-20 11:25:03	ga_s2bm_ard_3-2-1_51JVL_2021-08-20_final.stac-item
2021-08-22 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2021-08-22_final.stac-item
2021-08-22 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2021-08-22_final.stac-item
2021-08-22 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2021-08-22_final.stac-item
2021-08-22 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2021-08-22_final.stac-item
2021-08-22 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-08-22_final.stac-item
2021-08-22 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-08-22_final.stac-item
2021-08-22 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2021-08-22_final.stac-item
2021-08-22 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2021-08-22_final.stac-item
2021-08-23 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-08-23_final.stac-item
2021-08-23 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2021-08-23_final.stac-item
2021-08-23 11:35:18	ga_s2bm_ard_3-2-1_51JTK_2021-08-23_final.stac-item
2021-08-23 11:35:32	ga_s2bm_ard_3-2-1_51JTJ_2021-08-23_final.stac-item
2021-08-23 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2021-08-23_final.stac-item
2021-08-23 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2021-08-23_final.stac-item
2021-08-23 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2021-08-23_final.stac-item
2021-08-26 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2021-08-26_final.stac-item
2021-08-26 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2021-08-26_final.stac-item
2021-08-26 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2021-08-26_final.stac-item
2021-08-26 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2021-08-26_final.stac-item
2021-08-26 11:45:23	ga_s2bm_ard_3-2-1_50JNQ_2021-08-26_final.stac-item
2021-08-26 11:45:27	ga_s2bm_ard_3-2-1_51JTJ_2021-08-26_final.stac-item
2021-08-26 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2021-08-26_final.stac-item
2021-08-26 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2021-08-26_final.stac-item
2021-08-26 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2021-08-26_final.stac-item
2021-08-26 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2021-08-26_final.stac-item
2021-08-29 11:52:52	ga_s2bm_ard_3-2-1_51KTU_2021-08-29_final.stac-item
2021-08-29 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2021-08-29_final.stac-item
2021-08-29 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2021-08-29_final.stac-item
2021-08-29 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2021-08-29_final.stac-item
2021-08-29 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2021-08-29_final.stac-item
2021-08-29 11:55:36	ga_s2bm_ard_3-2-1_50JMP_2021-08-29_final.stac-item
2021-08-29 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2021-08-29_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

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