Vegetation Survey Undertaken Using Automatically Located Photographs during Horse Trek in the Dachigam National Park, India
2020
- 75Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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- Usage75
- Downloads56
- Abstract Views19
Artifact Description
An efficient way is needed to undertake large scale monitoring of grassland vegetation. Satellite images or aero-photographs are very useful for this purpose, but extensive ground truth data are required to make accurate analysis and interpretation. However, obtaining large-scale information from detailed vegetation surveys by manually deter-mining species composition is difficult and costly. As an alternative to traditional land-based methods, we used a GPS digital camera that determines locations automatically and captures pictures for vegetation survey. Our testing was done in the Dachigam National Park where grassland has been heavily grazed by goat, sheep, and cattle (Hasegawa et al, 2012). Hence, evaluating the variations in grassland conditions in the large area of the national park is important.
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