get_band_index_by_time

Converts a date string in <code>"MM-DD"</code> format to the corresponding band index
for the Greenspace Seasonality Data Cube, which contains 36 bands representing
10-day intervals over a year.

Access and analyze multi-band greenspace seasonality data cubes
(available for 1,028 major global cities), global Normalized Difference
Vegetation Index / land cover data from the European Space Agency
WorldCover 10m Dataset, and Sentinel-2-l2a images. Users can download data
using bounding boxes, city names, and filter by year or seasonal time window.
The package also supports calculating human exposure to greenspace using a
population-weighted greenspace exposure model introduced by
Chen et al. (2022) <doi:10.1038/s41467-022-32258-4> based on Global Human
Settlement Layer population data, and calculating a set of greenspace
morphology metrics at patch and landscape levels.

Xiaohao Yang

greenSD

Access and Analyze Global GreenSpace Spatial Data

get_band_index_by_time function

<dl><dt>time</dt>
<dd>Character vector of length 2. (optional) Start and end dates in <code>"MM-DD"</code> format
(e.g., <code>c("03-20", "10-15")</code>). Used to subset the 10-day interval data cube by time.</dd>
<dt>year</dt>
<dd>numeric. (required) The year of interest.</dd></dl>

Arguments

Get band index based on time period — get_band_index_by_time

<dl>

<dt>time</dt>
<dd>Character vector of length 2. (optional) Start and end dates in <code>"MM-DD"</code> format
(e.g., <code>c("03-20", "10-15")</code>). Used to subset the 10-day interval data cube by time.</dd>


<dt>year</dt>
<dd>numeric. (required) The year of interest.</dd>

</dl>

get_band_index_by_time: Get band index based on time period

Description

Usage

Value

Arguments

Details

Examples