Evaluating the performance of high-resolution satellite imagery in detecting ephemeral water bodies over West Africa

International Journal of Applied Earth Observations and Geoinformation

Rebekke E. Muench¹  Ashutosh S. Limaye²  Kel N. Markert³  Vikalp Mishra³  Emil A. Cherrington⁴ 

[1] Corresponding author at: Earth System Science Center, The University of Alabama in Huntsville, 320 Sparkman Dr., Huntsville, AL, USA.;NASA SERVIR Science Coordination Office, Marshall Space Flight Center, Huntsville, AL, USA;Earth System Science Center, The University of Alabama in Huntsville, 320 Sparkman Dr., Huntsville, AL, USA;NASA SERVIR Science Coordination Office, Marshall Space Flight Center, Huntsville, AL, USA;

关键词: Remote sensing;    Ephemeral water body;    Landsat;    Planet;    Ferlo;    NIR;   

DOI  :  

来源: DOAJ

【 摘 要 】

Pastoralism is a major occupation in Africa’s Sahel region, which spans from Senegal in the west to Ethiopia in the east and has a semi-arid climate. Pastoralists from the region are usually nomadic, moving regularly in search of water and pasture, often for hundreds of kilometers. Traditionally, pastoralists have relied on historical knowledge and transhumance pathways to reach the water bodies (WB). Due to climatic conditions, a vast majority of the WBs in this region are small, sporadic, and ephemeral, therefore there is a need to map and frequently monitor water availability. Remote sensing observations can be used to complement current monitoring efforts. High-resolution near-daily imagery from the recently launched PlanetScope (PS) constellation of small satellites has the potential to complement the existing medium-resolution and infrequent but well established and extensively calibrated sensors like Landsat. The aim of this study is to investigate the performance and applicability of high-resolution PS data to detect and monitor WBs in the Ferlo region of West Africa, in comparison to Landsat-8 imagery. The results indicate that for cloud-free days, PS data was comparable (r >0.88; ubRMSE <0.01) to Landsat, but due to inadequate cloud masking, the results were poor for cloudy days (r < 0.49 and ubRMSE>0.058). The PS images were able to detect nearly 95% of the WBs, whereas Landsat was able to identify only 32% at the water fraction threshold >40%. Initial results from this study show that the high spatial and temporal resolution PS datasets show promise in monitoring WBs in arid regions of West Africa.

【 授权许可】

Unknown