Journal of Remote Sensing & GIS

Using Sentinel 2A images to analyze temporal variation of estimated chlorophyll content in olive groves and its relationship to phenological stages

4^th International Conference on GIS and Remote Sensing

September 27-28, 2018 | Berlin, Germany

Judit Rubio-Delgado, Carlos J Perez and Manuel Villar

University of Extremadura, Spain
NotAnts S.L.U., Caceres, Spain

Scientific Tracks Abstracts: J Remote Sensing & GIS

Abstract:

Chlorophyll (Chl) is an important biophysical parameter related to photosynthesis and micronutrient content in plants. The contents of Chl and nitrogen (N) present significant relationships in several crops. N is the main nutrient for the plant growth process and its content varies according to the phenological stage. Remote sensing data can provide specific local information of Chl content as an approximation of the N status of the plant. The goal of this study was to relate the content of Chl in olive-trees to their phenological stages using Sentinel-2A satellite images. TCARI/OSAVI index was used to estimate the leaf Chl content in four olive groves located in the Southwest of Spain. Satellite images from July 2016 to February 2018 were analyzed and TCARI/OSAVI indexes were computed monthly. Results indicated similar variation of the leaf Chl content index along the studied period for the four olive groves. Estimated Chl contents were lower during summer and autumn seasons, coinciding with the highest N consumption stages of the olive-tree (fruit set/early fruit growth and autumm growth). Estimated Chl contents were higher during winter season, coinciding with the nutrient acumulation period of the olive-tree (harvesting and latency stages). Minimum estimated Chl content was recorded in November 2016 and maximum in January 2017. The next step will be to calibrate TCARI/OSAVI values using spectral signatures of the olive-tree leaf reflectances measured in field.

Biography :

Judit Rubio-Delgado is a PhD student in Physical Geography and Researcher at the Department of Mathematics of the University of Extremadura (Spain). She is a Specialist in GIS and Remote Sensing and is working on the analysis of satellite images applied to precision agriculture. She has published several papers in JCR journals and in international conferences.

E-mail: juditrd@unex.es