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
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LLC_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LLD_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LLE_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LLF_2018-08-07_final.stac-item
2018-08-07 10:47:20	ga_s2bm_ard_3-2-1_53LLG_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLA_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLB_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLU_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLV_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53LLC_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53JLN_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53JMN_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLP_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLQ_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLR_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLS_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLT_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KMP_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KMQ_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KMR_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KMS_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KMT_2018-08-07_final.stac-item
2018-08-10 10:57:11	ga_s2bm_ard_3-2-1_53LLF_2018-08-10_final.stac-item
2018-08-10 10:57:11	ga_s2bm_ard_3-2-1_53LLG_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_53LLE_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_53LLF_2018-08-10_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53HLD_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53HLE_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53HMD_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53HME_2018-08-11_final.stac-item
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53KLP_2018-08-24_final.stac-item
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53KLQ_2018-08-24_final.stac-item
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53KMP_2018-08-24_final.stac-item
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53KMQ_2018-08-24_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53HLD_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53HLE_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53HMD_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53HME_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JLF_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JLG_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JLH_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JLJ_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JLK_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JLL_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JLM_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JLN_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JMF_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JMG_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JMH_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JMJ_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JMK_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JML_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JMM_2018-09-03_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JMN_2018-09-03_final.stac-item
2018-09-03 10:46:05	ga_s2bm_ard_3-2-1_53HMD_2018-09-03_final.stac-item
2019-12-17 10:46:15	ga_s2bm_ard_3-2-1_53HMD_2019-12-17_final.stac-item
2019-12-17 10:46:19	ga_s2bm_ard_3-2-1_53HLD_2019-12-17_final.stac-item
2019-12-24 10:36:23	ga_s2bm_ard_3-2-1_53HLD_2019-12-24_final.stac-item
2020-04-28 10:50:43	ga_s2bm_ard_3-2-1_53LLG_2020-04-28_final.stac-item
2020-04-28 10:50:55	ga_s2bm_ard_3-2-1_53LLF_2020-04-28_final.stac-item
2020-04-28 10:51:09	ga_s2bm_ard_3-2-1_53LLE_2020-04-28_final.stac-item
2020-04-28 10:51:24	ga_s2bm_ard_3-2-1_53LLD_2020-04-28_final.stac-item
2020-04-28 10:51:38	ga_s2bm_ard_3-2-1_53LLC_2020-04-28_final.stac-item
2020-04-28 10:51:53	ga_s2bm_ard_3-2-1_53KLB_2020-04-28_final.stac-item
2020-04-28 10:52:07	ga_s2bm_ard_3-2-1_53KLA_2020-04-28_final.stac-item
2020-04-28 10:52:22	ga_s2bm_ard_3-2-1_53KLV_2020-04-28_final.stac-item
2020-04-28 10:52:37	ga_s2bm_ard_3-2-1_53KLU_2020-04-28_final.stac-item
2020-04-28 10:52:48	ga_s2bm_ard_3-2-1_53KMT_2020-04-28_final.stac-item
2020-04-28 10:52:51	ga_s2bm_ard_3-2-1_53KLT_2020-04-28_final.stac-item
2020-04-28 10:53:02	ga_s2bm_ard_3-2-1_53KMS_2020-04-28_final.stac-item
2020-04-28 10:53:06	ga_s2bm_ard_3-2-1_53KLS_2020-04-28_final.stac-item
2020-04-28 10:53:17	ga_s2bm_ard_3-2-1_53KMR_2020-04-28_final.stac-item
2020-04-28 10:53:20	ga_s2bm_ard_3-2-1_53KLR_2020-04-28_final.stac-item
2020-04-28 10:53:31	ga_s2bm_ard_3-2-1_53KMQ_2020-04-28_final.stac-item
2020-04-28 10:53:35	ga_s2bm_ard_3-2-1_53KLQ_2020-04-28_final.stac-item
2020-04-28 10:53:45	ga_s2bm_ard_3-2-1_53KMP_2020-04-28_final.stac-item
2020-04-28 10:53:49	ga_s2bm_ard_3-2-1_53KLP_2020-04-28_final.stac-item
2020-04-28 10:53:55	ga_s2bm_ard_3-2-1_53JMN_2020-04-28_final.stac-item
2020-04-28 10:54:04	ga_s2bm_ard_3-2-1_53JLN_2020-04-28_final.stac-item
2020-05-08 10:50:46	ga_s2bm_ard_3-2-1_53LLG_2020-05-08_final.stac-item
2020-05-08 10:50:57	ga_s2bm_ard_3-2-1_53LLF_2020-05-08_final.stac-item
2020-05-08 10:51:11	ga_s2bm_ard_3-2-1_53LLE_2020-05-08_final.stac-item
2020-05-08 10:51:26	ga_s2bm_ard_3-2-1_53LLD_2020-05-08_final.stac-item
2020-05-08 10:51:39	ga_s2bm_ard_3-2-1_53LLC_2020-05-08_final.stac-item
2020-05-08 10:51:46	ga_s2bm_ard_3-2-1_53LLC_2020-05-08_final.stac-item
2020-05-08 10:51:55	ga_s2bm_ard_3-2-1_53KLB_2020-05-08_final.stac-item
2020-05-08 10:52:10	ga_s2bm_ard_3-2-1_53KLA_2020-05-08_final.stac-item
2020-05-08 10:52:24	ga_s2bm_ard_3-2-1_53KLV_2020-05-08_final.stac-item
2020-05-08 10:52:39	ga_s2bm_ard_3-2-1_53KLU_2020-05-08_final.stac-item
2020-05-08 10:52:50	ga_s2bm_ard_3-2-1_53KMT_2020-05-08_final.stac-item
2020-05-08 10:52:54	ga_s2bm_ard_3-2-1_53KLT_2020-05-08_final.stac-item
2020-05-08 10:53:05	ga_s2bm_ard_3-2-1_53KMS_2020-05-08_final.stac-item
2020-05-08 10:53:08	ga_s2bm_ard_3-2-1_53KLS_2020-05-08_final.stac-item
2020-05-08 10:53:19	ga_s2bm_ard_3-2-1_53KMR_2020-05-08_final.stac-item
2020-05-08 10:53:23	ga_s2bm_ard_3-2-1_53KLR_2020-05-08_final.stac-item
2020-05-08 10:53:34	ga_s2bm_ard_3-2-1_53KMQ_2020-05-08_final.stac-item
2020-05-08 10:53:37	ga_s2bm_ard_3-2-1_53KLQ_2020-05-08_final.stac-item
2020-05-08 10:53:47	ga_s2bm_ard_3-2-1_53KMP_2020-05-08_final.stac-item
2020-05-08 10:53:52	ga_s2bm_ard_3-2-1_53KLP_2020-05-08_final.stac-item
2020-05-08 10:53:58	ga_s2bm_ard_3-2-1_53JMN_2020-05-08_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