Employing False Color Infrared Cameras for Biomass Estimation on Natural Grassland

Togeiro de Alckmin, G. and Van der Merwe, D. and Manzanera De La Vega, Jose Antonio and Tisseyre, B. (2019). Employing False Color Infrared Cameras for Biomass Estimation on Natural Grassland. In: "12th European Conference on Precision Agriculture (ECPA), Montpellier", 8-11 Julio 2019, Montpellier, Francia. pp. 14-15.

Description

Title: Employing False Color Infrared Cameras for Biomass Estimation on Natural Grassland
Author/s:
  • Togeiro de Alckmin, G.
  • Van der Merwe, D.
  • Manzanera De La Vega, Jose Antonio
  • Tisseyre, B.
Item Type: Presentation at Congress or Conference (Poster)
Event Title: 12th European Conference on Precision Agriculture (ECPA), Montpellier
Event Dates: 8-11 Julio 2019
Event Location: Montpellier, Francia
Title of Book: 12th European Conference on Precision Agriculture
Date: July 2019
Subjects:
Freetext Keywords: Biomasa forestal, cámaras de infrarrojos, pastos naturales.
Faculty: E.T.S.I. Montes, Forestal y del Medio Natural (UPM)
Department: Ingeniería y Gestión Forestal y Ambiental
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Natural grasslands occupy up to 40.5% of Earth’s terrestrial surface (Monson, 2014) and provide important ecosystem services as well as supporting livestock production systems. Broadly, grazing-management is a fine equilibrium between three parameters: stocking rates, biomass and grazing-period. From these, biomass estimation is the most critical parameter to measure, thus, manage, given that its estimation is part of a complex and dynamic system, made even more difficult by the large spatial heterogeneity, seasonal and inter-annual variability of forage resources. Remote sensing techniques have long been proposed as a solution to such topic (Tucker, 1979). However, it has not become a widely utilized tool given the absence of an accurate, timely and cost-effectivemethods available for end-users, mostly due to inadequate spatial and temporal resolutions of available data. To bridge such gap, remotely piloted aircraft systems (RPAS) have been the subject of intense research in the recent past. In fact, within the past five years, several purposely built RPAS multispectral sensors became commercially available and a large extent of image-processing (mosaicking and radiometric calibration) can now be executed on the cloud (i.e. remotely.) Prior to such developments, however, modified digital cameras (off-the shelf) were commonly employed as false colour-infrared broadband sensors. This study examines the use of a RPAS and modified digital cameras as a tool for instantaneous measurement of forage biomass (dry matter perhectare) utilizing digital number (DN) as a proxy for reflectance values. The ability of automating a mostly manual task (biomass estimation) using a simple method could be worthwhile to end-users.

More information

Item ID: 63262
DC Identifier: http://oa.upm.es/63262/
OAI Identifier: oai:oa.upm.es:63262
Deposited by: Memoria Investigacion
Deposited on: 05 Nov 2020 10:33
Last Modified: 05 Nov 2020 10:33
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