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22 changes: 11 additions & 11 deletions docs/source/modules/dwn/sdg_indicator.rst
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Expand Up @@ -9,7 +9,7 @@ To help achieve Target 15.3 of the SDGs, governments, international organization

This module provides guidance for generating data for reporting on SDG Indicator 15.3.1. It follows `Good practice guidance: SDG Indicator 15.3.1 – Proportion of land that is degraded over total land area (Version 2.0) <https://www.unccd.int/sites/default/files/documents/2021-09/UNCCD_GPG_SDG-Indicator-15.3.1_version2_2021.pdf>`_.

The methodology for the module (`Good practice guidance: SDG Indicator 15.3.1 – Proportion of land that is degraded over total land area [Version 1.0] <https://prais.unccd.int/sites/default/files/helper_documents/4-GPG_15.3.1_EN.pdf>`_) was implemented in consultation with the `Trends.Earth <https://trends.earth/docs/en/index.html>`_ team and `Conservation International <https://www.conservation.org>`_.
The methodology for the module, `Good practice guidance: SDG Indicator 15.3.1 – Proportion of land that is degraded over total land area (Version 1.0) <https://prais.unccd.int/sites/default/files/helper_documents/4-GPG_15.3.1_EN.pdf>`_, was implemented in consultation with the `Trends.Earth <https://trends.earth/docs/en/index.html>`_ team and `Conservation International <https://www.conservation.org>`_.

Methodology
-----------
Expand All @@ -26,7 +26,7 @@ In 2017, the UNCCD released `the first version of their guidance <https://prais.

In 2021, `a revised version <https://www.unccd.int/sites/default/files/documents/2021-09/UNCCD_GPG_SDG-Indicator-15.3.1_version2_2021.pdf>`_ was published.

The module is based on the most recent version of their guidance (Version 2), which outlines a comprehensive approach to land degradation and suggests methods for restoring degraded land by providing guidance for governments, businesses, local communities, and other stakeholders.
The module is based on the most recent version of their guidance (Version 2), which outlines a comprehensive approach to land degradation and suggests methods for restoring degraded land by providing guidance for governments, businesses, local communities and other stakeholders.

Approach
""""""""
Expand All @@ -51,7 +51,7 @@ Three matrices are used to detect such changes in productivity:

**Productivity trend**

The *productivity trend* measures the trajectory of change in productivity over time.
**Productivity trend** measures the trajectory of change in productivity over time.

The `Mann–Kendall trend test <https://en.wikipedia.org/wiki/Kendall_rank_correlation_coefficient>`_ is used to describe the monotonic trend or trajectory (increasing or decreasing) of the productivity for a given time period.

Expand All @@ -65,7 +65,7 @@ To identify the scale and direction of the trend, a five-level scale is proposed

- Z score > 1.28 AND ≤ 1.96 = **Potentially improving**, or

- Z score > 1.96 = Improving, as indicated by a significant increasing trend
- Z score > 1.96 = **Improving**, as indicated by a significant increasing trend

The area of the lowest negative Z score level (< -1.96) is considered **degraded**, the area between Z score -1.96 to 1.96 is considered **stable**, and the area above 1.96 is considered **improved** for calculating the sub-indicator.

Expand All @@ -84,7 +84,7 @@ It is measured as follows:

\sigma = \sqrt{\frac{\sum_{n-15}^{n-3}(x_n-\mu)^2}{13}}

where, :math:`x` is the productivity and :math:`n` is the year of analysis.
where :math:`x` is the productivity and :math:`n` is the year of analysis.

The mean productivity of the current period is given as:

Expand All @@ -106,9 +106,9 @@ The area of the lowest negative Z score level (< -1.96) is considered **degraded

**Productivity performance**

*Productivity performance* indicates the level of local land productivity relative to other regions with similar productivity potential.
**Productivity performance** indicates the level of local land productivity relative to other regions with similar productivity potential.

The maximum productivity index, :math:`NPP_{max}` value (90 :sup:`th` percentile) observed within the similar eco-region is compared to the observed productivity value (observed *NPP*). It is given as:
The maximum productivity index, :math:`NPP_{max}` value (90:sup:`th` percentile) observed within the similar eco-region is compared to the observed productivity value (observed *NPP*). It is given as:

.. math:: \text{performance} = \frac{NPP_{observed}}{NPP_{max}}

Expand Down Expand Up @@ -167,7 +167,7 @@ Either of the following "look-up" tables can be used to calculate the sub-indica

Available Dataset:

Sensors: MODIS; Landsat 4, 5, 7 and 8; Sentinel 2
Sensors: MODIS; Landsat 4, 5, 7 and 8; Sentinel-2

NPP metric: NDVI; EVI and MSVI; Terra NPP

Expand All @@ -180,7 +180,7 @@ Default land cover dataset: ESA CCI land cover (1992–2020)

**Transition matrix for custom land cover legends**

A custom transition matrix can be used in combination with the custom land cover legend. The matrix needs to be a comma-separated value (.csv) file in the following form:
A custom transition matrix can be used in combination with the custom land cover legend. The matrix needs to be a .csv file in the following form:

The first two columns, excluding the first two cells (:math:`a_{31}...a_{n1} \text{and } a_{32}...a_{n2}`), must contain class labels and pixel values for the initial land cover, respectively.

Expand Down Expand Up @@ -270,7 +270,7 @@ Mandatory parameters

- **Vegetation index**: The vegetation index will be used to compute the trend trajectory (by default: **NDVI**).

- **Trajectory**: There are three options available to calculate the productivity trend that describe the trajectory of change (by default, **productivity (VI) trend**).
- **Trajectory**: There are three options available to calculate the productivity trend that describe the trajectory of change (by default, **Productivity (VI) trend**).

- **Land ecosystem functional unit**: Defaults to **Global Agro-Environmental Stratification (GAES)**; other available options include:

Expand All @@ -279,7 +279,7 @@ Mandatory parameters
- `Global Homogeneous Response Units <https://doi.pangaea.de/10.1594/PANGAEA.775369>`_; and
- Calculate based on the land cover (`ESA CCI <https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview>`_) and soil texture (`ISRIC <https://www.isric.org/explore/soilgrids>`_).

- **climate regime**: Defaults to **Per pixel based on global climate data**; however, you can also use a fixed value everywhere using a predefined climate regime in the dropdown menu or select a custom value with the slider.
- **Climate regime**: Defaults to **Per pixel based on global climate data**; however, you can also use a fixed value everywhere using a predefined climate regime in the dropdown menu or select a custom value with the slider.

.. _sdg-advanced-parameters:

Expand Down