GIS/Remote-Sensing-Based Assessment of Vegetation Health Related to Agroecological Practices in the Southeast of Togo

• DOI: 10.20944/preprints202306.1465.v1
• Publication Date: 2023-06-25T05:11:56Z
• Authors: Folega Fousseni; Atakpama Wouyo; Pereki Hodabalo; Badabate Diwediga; Ivan Pontin Novotny; Anne Dray; Claude Gracia; Wala Kperkouma; Batawila Komlan; Akpagana Koffi
• Keywords: Agroecology; Enhanced vegetation index

In the context of climate change, need for stakeholders to contribute achieving SDG2 is no longer in doubt especially sub-Saharan Africa. this study landscape within 10 km Donomadé model farm, southeastern Togo, we sought assess vegetation health ecosystems and agrosystems, including their capacity produce biomass agroecological practices. Sentinel-2 sensor data from 2015, 2017, 2020, 2022 were preprocessed used calculate normalized fire ratio index (NBR), severity (dNBR), CASA-SEBAL models. From these different analyses, it was found that stress increased across depending on year time series. We estimated 9952.215 ha, 10,397.43 9854.90 ha highly stressed respectively. Analysis level interannual revealed existence photosynthetic areas which had experienced stress. These areas, likely have been subjected agricultural practices, be 8704.871 (dNBR2017–2015), 8253.17 (dNBR2020–2017), 7513.93 (dNBR2022–2020). 2022, total available by remote sensing 3,741,715 ± 119.26 kgC/ha/y. The annual average 3401.55 contrast, area healthy 4594.43 4301.30 4320.85 acceptance threshold net primary productivity (NPP) 96%. coefficient skewness (0.81 0.073) indicated a mosaic landscape. Productive functional ecosystem components present, but dispersed. findings suggest great opportunity promote Mulching may an excellent technique enhancing overall services as targeted SDGs, means reconversion plant consumed fires or slash-and-burn