Data for: Extensive vegetation browning and drying in forests of India's Tiger Reserves

Published: 16-10-2019| Version 1 | DOI: 10.17632/6jhr4xfs3x.1
Contributors:
Pradeep Koulgi,
Nicholas Clinton,
Krithi Karanth

Description

Data and code used to assess trends in forest vegetation condition in India's Tiger Reserves, using historical Landsat 5 TM data. The Javascript code is to be run on Google Earth Engine Code Editor (sign-up required). See 00_README.txt or 00_README.html or 00_README.md for details. The algorithm matches 25 study Tiger Reserves with a Wildlife Sanctuary each. For each of these matched pairs, the Landsat 5 TM timeseries data are divided into 'before' and 'after' epochs based on the Tiger Reserve's year of declaration. A before-after control-impact-style analysis is performed to assess vegetation condition in Tiger Reserves compared to their matched Wildlife Sanctuaries. The GeoTIFF files are park-wise multiband geo-referenced result rasters, and one CSV file contains a table of park-wise summary results, and the other contains attributes of each study Tiger Reserve and its selected and candidate matched Wildlife Sanctuaries. Code was written by PK.

Files

Steps to reproduce

See 00_README.html or 00_README.md or 00_README.txt for details on data and script files and how to use them. The Javascript code are to be run first, on Google Earth Engine Code Editor (sign-up required), sequentially in the order of filename prefix "01a_", "01b_", "01c_", "02_" and "03a_", followed by R script "03b_" for reproducing manuscript result figures. Manuscript result figures were visualized on R Statistical Software v3.4.4 using the dplyr v0.7.4, tidyr v0.7.2, ggplot2, and ggtern v2.2.1 packages and finished in QGIS 2.18 geographic information system application and Inkscape v0.91 image editing software.