RT Journal Article
T1 Biomass estimation of pasture plots with multitemporal UAV-based photogrammetric surveys
A1 Sinde González, Ízar
A1 Gil Docampo, María de la Luz
A1 Arza García, Marcos
A1 Grefa Sánchez, José
A1 Yánez Simba, Diana
A1 Pérez, Patricio
A1 Abril Porras, Víctor Hugo
K1 Cultivated pastures
K1 CSM
K1 Precision agriculture
K1 DTM
K1 Aboveground biomass
AB Pastures account for more than 56% of the total agricultural area of Ecuador and constitute the main food source for livestock. Hence, the agile, affordable, and reliable quantification of aboveground biomass (AGB) is an essential task in grazing utilization and management. In this paper, a method to estimate the AGB via aerial photogrammetry with a low-cost UAV multirotor is proposed. Digital terrain models and crop surface models were generated from data captured during two flights at different times, and the volume between them was calculated. An empirical relationship between volume and dry biomass was obtained by harvesting and weighing some samples and deriving a density factor (DF). The method was tested over 54 plots with different types of forage under differential fertilization treatments. Fertilized annual ryegrass exhibited the best growth and highest biomass (2632 kg/ha). The estimation and calculation of the crop volume via UAV-based photogrammetry saves time and generates notably precise (R2 = 0.78) information on the dry biomass
PB Elsevier
SN 0303-2434
YR 2021
FD 2021
LK http://hdl.handle.net/10347/26138
UL http://hdl.handle.net/10347/26138
LA eng
NO International Journal of Applied Earth Observation and Geoinformation, 101 (2021), 102355
DS Minerva
RD 1 may 2026