Analysing spatial–temporal changes in rice cultivation practices in the Senegal River Valley using MODIS time-series and the PhenoRice algorithm

Detecting phenological changes in plant functional types over West African savannah dominated landscape

“…(Richardson et al 2013;Huang et al 2019). Detecting crop phenological parameters is very useful for crop growth and health monitoring and yield estimation (Busetto, Zwart, and Boschetti 2019). Our comparison of SOS, EOS, mean, and maximum NDVI phenology between the woody phenology and other PFTs provides some of the most insightful for differentiating them, which further supported previous studies (local and regional) on the assessments of their differences (Scholes and Walker 1993;Adole, Dash, and Atkinson 2018).…”

Identifying Dry-Season Rice-Planting Patterns in Bangladesh Using the Landsat Archive

“…Yet, in situ data is rarely available at both the spatial and temporal detail required for impactful agricultural monitoring and intervention. Therefore, remote sensing has been investigated as a potential solution to ongoing efforts to monitor and evaluate rice production [6][7][8][9][10][11][12][13][14][15]. This study extends those previous efforts toward this endeavor, and highlights improvements in spatiotemporal rice mapping in the heterogeneous landscape of Bangladesh during the dry season.…”

“…We refer to this as the flooding and transplanting signature. More details about this process can be found in Xiao et al [13,14], although it should be noted that the original process was outlined for MODIS imagery in China and has been modified in the PhenoRice algorithm most recently for rice mapping applications in Senegal [12].…”

“…We selected the value 0.4 based on our knowledge of the study area, range of LE7-based EVI values, and recommendation from earlier studies [11,18,24]. The second rule (ii) further limits the pixels with NDFI-based flooding and transplanting detection [11,12,23,28,35]. The final rule (iii) ensures that the overall trend in EVI before and after the heading and flowering stage is representative of rice vegetative growth and drying down for harvest, which is typically distinct from other vegetative land cover phenologies.…”

“…The final rule (iii) ensures that the overall trend in EVI before and after the heading and flowering stage is representative of rice vegetative growth and drying down for harvest, which is typically distinct from other vegetative land cover phenologies. The second and third rules relate to those employed in the PhenoRice model [12,23,26,35], though with slight differences due to the analysis of Landsat data in the GEE platform. The final rule is critical to separate the rice areas from land covers like mangrove forest having both high EVI and a strong water signal.…”