Mapping Woody Cover Changes In Namibian Savanna Using MODIS Data And Field Inventory.pdf

bg-2019-28-supplement.pdf
Preview of Mapping Woody Cover Changes in Namibian Savanna Using MODIS Data and Field Inventory
🔗 Source: bg.copernicus.org
📊 Size: 1.49 MB
👤 Author: Martin Rasmussen
⬇️ Downloads: 32

Summary

The study by Wingate et al. investigates woody cover trends in Namibian savannas using MODIS seasonal phenological metrics and field inventory data. Researchers employed random forest models to analyze the importance of various predictor layers, with variable importance measured through Mean Standard Error (MSE) and Gini metric. The models, built for 2001-2016, demonstrated R² values ranging from 0.4 to 0.5 and Root Mean Square Error (RMSE) between 14.14% to 15.43%. Despite some outliers, particularly in specific cover classes, the study highlights the effectiveness of remote sensing data combined with field measurements for monitoring savanna vegetation changes over time.

Description

This study uses MODIS satellite data and field inventory to map changes in woody cover across Namibian savannas over time, focusing on phenological metrics and their predictive power. It employs random forest analysis and linear regression to model trends and assess the importance of various environmental factors.

Technical Information

  • File Format: PDF
  • File Size: 1.49 MB
  • Pages: 5
  • Language: EN
  • Author: Martin Rasmussen
  • Total Downloads: 32
  • Last Updated: 2 months ago

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