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RSS FeedsRemote Sensing, Vol. 10, Pages 952: Using Google Earth Engine to Map Complex Shade-Grown Coffee Landscapes in Northern Nicaragua (Remote Sensing)

 
 

18 june 2018 11:00:47

 
Remote Sensing, Vol. 10, Pages 952: Using Google Earth Engine to Map Complex Shade-Grown Coffee Landscapes in Northern Nicaragua (Remote Sensing)
 


Shade-grown coffee (shade coffee) is an important component of the forested tropics, and is essential to the conservation of forest-dependent biodiversity. Despite its importance, shade coffee is challenging to map using remotely sensed data given its spectral similarity to forested land. This paper addresses this challenge in three districts of northern Nicaragua, here leveraging cloud-based computing techniques within Google Earth Engine (GEE) to integrate multi-seasonal Landsat 8 satellite imagery (30 m), and physiographic variables (temperature, topography, and precipitation). Applying a random forest machine learning algorithm using reference data from two field surveys produced a 90.5% accuracy across ten classes of land cover, with an 82.1% and 80.0% user’s and producer’s accuracy respectively for shade-grown coffee. Comparing classification accuracies obtained from five datasets exploring different combinations of non-seasonal and seasonal spectral data as well as physiographic data also revealed a trend of increasing accuracy when seasonal data were included in the model and a significant improvement (7.8–20.1%) when topographical data were integrated with spectral data. These results are significant in piloting an open-access and user-friendly approach to mapping heterogeneous shade coffee landscapes with high overall accuracy, even in locations with persistent cloud cover.


 
49 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 10, Pages 953: Side-Scan Sonar Image Mosaic Using Couple Feature Points with Constraint of Track Line Positions (Remote Sensing)
Remote Sensing, Vol. 10, Pages 951: Investigation and Analysis of All-Day Atmospheric Water Vapor Content over Xi`an Using Raman Lidar and Sunphotometer Measurements (Remote Sensing)
 
 
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