Journal of Remote Sensing / 2022 / Article / Fig 3

Review Article

Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities

Figure 3

Example of the diversity in the characterization of a savanna region according to continental-scale maps derived from satellite, climatic, and botanical stratification. The Great Lakes region provides an ideal setting to illustrate the differences in nomenclature. (a–d) Are based on PlanetScope satellite imagery at 3-meter spatial resolution and represent a gradient of woody canopy cover from dense (a) to sparse (d). (e) Represent five land cover classifications derived from satellite data: Global Land Cover SHARE (GLC-SHARE) [51], Moderate Resolution Imaging Spectroradiometer Land Cover Type (MCD12Q1) [52], European Space Agency Climate Change Initiative Land Cover (ESA CCI LC) [53], Copernicus Global Land Services (CGLS) [54], and GlobeLand30 [55]. Also shown is a map derived from botanical classification based on dominant species [56] and one derived from climatic stratification Koeppen-Geiger [57]. The overview figure in the lower left shows the delineation of subtropical and tropical grasslands, savannas, and shrublands in Africa (pink color) according to the Ecoregions 2017 dataset [33]. This delineation is also shown as a black line border in each of the seven maps in the main panel (e).