Who can live without chocolates?

Who can live without chocolates?

written by Itohan-osa Abu

June 11, 2021

Itohan-Osa Abu and Dr Michael Thiel, have published a paper in Ecological Indicators in cooperation with the partners at the Joint Research Centre (JRC) titled “Detecting cocoa plantations in Côte d’Ivoire and Ghana and their implications on protected areas”.

From the abstract: “Côte d’Ivoire and Ghana are the largest producers of cocoa in the world. In recent decades the cultivation of this crop has led to the loss of vast tracts of forest areas in both countries. Efficient and accurate methods for remotely identifying cocoa plantations are essential to the implementation of sustainable cocoa practices and for the periodic and effective monitoring of forests. In this study, a method for cocoa plantation identification was developed based on a multi-temporal stack of Sentinel-1 and Sentinel-2 images and a multi-feature Random Forest (RF) algorithm. The Normalized Difference Vegetation Index (NDVI) and second-order texture features were assessed for their importance in an RF classification, and their optimal combination was used as input variables for the RF model to identify cocoa plantations in both countries. The RF model-based cocoa map achieved 82.89% producer’s and 62.22% user’s accuracy, detecting 3.69 million hectares (Mha) and 2.15 Mha of cocoa plantations for Côte d’Ivoire and Ghana, respectively. The results demonstrate that a combination of an RF model and multi-feature classification can distinguish cocoa plantations from other land cover/use, effectively reducing feature dimensions and improving classification efficiency. The results also highlight that cocoa farms largely encroach into protected areas (PAs), as 20% of the detected cocoa plantation area is located in PAs and almost 70% of the PAs in the study area house cocoa plantations.”

For more information, please read; https://www.researchgate.net/publication/352121193_Detecting_cocoa_plantations_in_Cote_d’Ivoire_and_Ghana_and_their_implications_on_protected_areas

 

you may also like:

R package for time-series animation of rasters

R package for time-series animation of rasters

One of remote sensing's greatest strengths is its capability to deliver consistent and highly resolved time series. These have a wonderful potential for visualizations and analysis.Creating a fluid and pretty animation from a collection of tifs can be complicated, as...

Our Virtual teaching setup

Our Virtual teaching setup

We posted a while ago some images about our virtual teaching room and mentioned that we will provide briefly the general technical background setup: we have four lecture rooms each with a broadcast camera (that can stream for 6 hours and more), microphones and green...

Special Issue in the Journal “Natural Hazards”

Special Issue in the Journal “Natural Hazards”

Special Issue in the Journal “Natural Hazards”https://www.springer.com/journal/11069Guest editorsChristian Geiß, Elisabeth Schoepfer, Torsten Riedlinger, and Hannes TaubenböckTitleMultimodal Characterization of Built and Natural Environments for Multi-Risk...

most recent news:

R package for time-series animation of rasters

R package for time-series animation of rasters

One of remote sensing's greatest strengths is its capability to deliver consistent and highly resolved time series. These have a wonderful potential for visualizations and analysis.Creating a fluid and pretty animation from a collection of tifs can be complicated, as...

Our Virtual teaching setup

Our Virtual teaching setup

We posted a while ago some images about our virtual teaching room and mentioned that we will provide briefly the general technical background setup: we have four lecture rooms each with a broadcast camera (that can stream for 6 hours and more), microphones and green...

Special Issue in the Journal “Natural Hazards”

Special Issue in the Journal “Natural Hazards”

Special Issue in the Journal “Natural Hazards”https://www.springer.com/journal/11069Guest editorsChristian Geiß, Elisabeth Schoepfer, Torsten Riedlinger, and Hannes TaubenböckTitleMultimodal Characterization of Built and Natural Environments for Multi-Risk...