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Remote Sens. 2016, 8(3), 202; doi:10.3390/rs8030202

Multitemporal Monitoring of Plant Area Index in the Valencia Rice District with PocketLAI

1
Department of Earth Physics and Thermodynamics, Faculty of Physics, Universitat de València, Dr. Moliner, Burjassot 46100, València, Spain
2
Department of Agricultural and Environmental Sciences-Production, Landscape, Agroenergy, Cassandra Lab, Università degli Studi di Milano, Via Celoria 2, 20133 Milan, Italy
3
EOLAB, Parc Científic Universitat de València, Catedrático A. Escardino, 46980 Paterna, Spain
4
Institute for Electromagnetic Sensing of the Environment, Italian National Research Council, Via Bassini 15, 20133 Milan, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Agnes Begue, Clement Atzberger and Prasad S. Thenkabail
Received: 14 December 2015 / Revised: 15 January 2016 / Accepted: 18 February 2016 / Published: 1 March 2016
(This article belongs to the Special Issue Remote Sensing in Precision Agriculture)
View Full-Text   |   Download PDF [7273 KB, uploaded 1 March 2016]   |  

Abstract

Leaf area index (LAI) is a key biophysical parameter used to determine foliage cover and crop growth in environmental studies in order to assess crop yield. Frequently, plant canopy analyzers (LAI-2000) and digital cameras for hemispherical photography (DHP) are used for indirect effective plant area index (PAIeff) estimates. Nevertheless, these instruments are expensive and have the disadvantages of low portability and maintenance. Recently, a smartphone app called PocketLAI was presented and tested for acquiring PAIeff measurements. It was used during an entire rice season for indirect PAIeff estimations and for deriving reference high-resolution PAIeff maps. Ground PAIeff values acquired with PocketLAI, LAI-2000, and DHP were well correlated (R2 = 0.95, RMSE = 0.21 m2/m2 for Licor-2000, and R2 = 0.94, RMSE = 0.6 m2/m2 for DHP). Complementary data such as phenology and leaf chlorophyll content were acquired to complement seasonal rice plant information provided by PAIeff. High-resolution PAIeff maps, which can be used for the validation of remote sensing products, have been derived using a global transfer function (TF) made of several measuring dates and their associated satellite radiances. View Full-Text
Keywords: rice; effective plant area index (PAIeff); PocketLAI; smartphone; high-resolution map rice; effective plant area index (PAIeff); PocketLAI; smartphone; high-resolution map
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Campos-Taberner, M.; García-Haro, F.J.; Confalonieri, R.; Martínez, B.; Moreno, Á.; Sánchez-Ruiz, S.; Gilabert, M.A.; Camacho, F.; Boschetti, M.; Busetto, L. Multitemporal Monitoring of Plant Area Index in the Valencia Rice District with PocketLAI. Remote Sens. 2016, 8, 202.

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