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4 changes: 4 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -4,6 +4,10 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## 0.4.28

### Added
- Added information regarding the new data maturity filter.

## [0.4.27]

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19 changes: 19 additions & 0 deletions accessing-nisar/asf-search.md
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Expand Up @@ -34,6 +34,25 @@ A list of accepted `processingLevel` constants for data from all missions hosted
Refer to the [Searching page of the ASF Data Search Manual](https://docs.asf.alaska.edu/asf_search/searching/)
for more details on available search filters and their possible values.

### Search by data maturity

Filter NISAR data by validation/calibration status by using the `dataMaturity` parameter in your search. You can specify either 'PROVISIONAL' for [calibrated NISAR PROVISIONAL](#nisar-provisional-data-july) data or `BETA` for [pre-calibrated NISAR BETA](nisar-sample-data-feb) data.

To search for PROVISIONAL products, utilize the following Python code:

```python
import asf_search as asf

results = asf.search(dataset='NISAR', dataMaturity='PROVISIONAL')
```

To search for BETA products, replace `PROVISIONAL` with `BETA`, as shown below.
```python
import asf_search as asf

results = asf.search(dataset='NISAR', dataMaturity='BETA')
```

## Download data

Downloading NISAR data requires authentication through [Earthdata Login (EDL)](https://urs.earthdata.nasa.gov/). For more information, see @earthdata-login.
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3 changes: 2 additions & 1 deletion accessing-nisar/vertex.md
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Expand Up @@ -17,7 +17,7 @@ Navigate to [Vertex](https://search.asf.alaska.edu/#/?dataset=NISAR&prodConfig=P

```{figure} ../assets/vertex-dataset-selection.png
:label: vertex-dataset-selection
:alt: Image depicting the option to select NISAR from the Datset options.
:alt: Image depicting the option to select NISAR from the Dataset options.
:align: center

Click on the **Dataset** field and select `NISAR` from the drop-down menu to search for NISAR products.
Expand Down Expand Up @@ -90,6 +90,7 @@ NISAR-specific filters in Vertex.
|-----------------------|--------------------------------------------------------------------------------------------------------------------------------------------|
| Science Product | Specific product type, grouped by product level. Multiple selections allowed. |
| Product Configuration | Specific processing pipelines, including Production and [Urgent Response](#urgent-response-product-overview). Multiple selections allowed. |
| Data Maturity | Specific product validation/calibration status between beta and provisional data. Multiple selections allowed. |

:::

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6 changes: 3 additions & 3 deletions data-availability/availability-overview.md
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Expand Up @@ -11,7 +11,7 @@ In addition, a limited set of [NISAR S-band sample data products](https://bhooni
(nisar-provisional-data-july)=
## NISAR PROVISIONAL Data: July 2026

{button}`Find NISAR PROVISIONAL L-Band Data <https://search.asf.alaska.edu/#/?dataset=NISAR&prodConfig=PR&granuleList=NISAR_L*_*P0502*>`
{button}`Find NISAR PROVISIONAL L-Band Data <https://search.asf.alaska.edu/#/?prodConfig=PR&dataMaturity=PROVISIONAL>`

NISAR PROVISIONAL datasets were released July 20, 2026. These products are fully calibrated and have undergone validation at a limited set of sites around the world. These datasets are designated as PROVISIONAL pending more complete validation over larger areas around the globe, but are a significant improvement over the [BETA products](#nisar-sample-data-feb) released in Feburary 2026.

Expand All @@ -29,7 +29,7 @@ The science team has identified a limited set of NISAR frames that will be used
(nisar-sample-data-feb)=
## NISAR BETA Data: February 2026

{button}`Find NISAR BETA L-Band Data <https://search.asf.alaska.edu/#/?dataset=NISAR&prodConfig=PR&granuleList=NISAR_L*_*X05*>`
{button}`Find NISAR BETA L-Band Data <https://search.asf.alaska.edu/#/?prodConfig=PR&dataMaturity=BETA>`

Prior to the release of the PROVISIONAL products, a selection of pre-calibration BETA NISAR L-band products was made available through the ASF DAAC. These BETA products were released to allow users to develop workflows to access the data and metadata for each product type, to become familiar with the characteristics of the L-band products, and to begin working with the data in a substantive way.

Expand Down Expand Up @@ -84,4 +84,4 @@ This release is the first to include [L0B RRSD](#rrsd-product-overview) products

Additional validation will take place using the provisional data, resulting in algorithm improvements. Once the products are fully validated, the NISAR project will transition to generating validated products with a new version of the processor and begin a reprocessing campaign. These validated products will supersede any earlier versions of the data in the archive.

This reprocessing campaign will generate new versions of Level 0-3 products from the global backlog of all L-band data collected during the science phase of the mission. Data products will be continually published to ASF and made publicly available as they are generated during the reprocessing effort, which is expected to be complete by the end of 2026.
This reprocessing campaign will generate new versions of Level 0-3 products from the global backlog of all L-band data collected during the science phase of the mission. Data products will be continually published to ASF and made publicly available as they are generated during the reprocessing effort, which is expected to be complete by the end of 2026.
2 changes: 1 addition & 1 deletion using-nisar/using-open-source.md
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Expand Up @@ -26,7 +26,7 @@ Refer to the [Tutorials](#tutorials-overview) section for workflows that leverag
### InSAR
- [GMTSAR](https://github.com/gmtsar/gmtsar): A GMT-based InSAR processor with NISAR support
- [dolphin](https://github.com/isce-framework/dolphin): Persistent-scatterer and distributed-scatterer InSAR wrapped phase estimation
- [sweets](https://github.com/isce-framework/sweets): End-to-end InSAR workflow automation leverging dolphin
- [sweets](https://github.com/isce-framework/sweets): End-to-end InSAR workflow automation leveraging dolphin
- [MintPy](https://github.com/insarlab/MintPy): Small baseline subset (SBAS) InSAR time series processing

### Polarimetry
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