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RESEARCH PRODUCT
Multitemporal Monitoring of Plant Area Index in the Valencia Rice District with PocketLAI
Francisco Javier García-haroRoberto ConfalonieriBeatriz MartínezAlvaro MorenoMirco BoschettiMaría Amparo GilabertManuel Campos-tabernerSergio Sánchez-ruizLorenzo BusettoFernando Camachosubject
Chlorophyll contenteffective plant area index (PAI(eff))010504 meteorology & atmospheric sciencesHemispherical photographyeffective plant area index (PAIeff)Science0211 other engineering and technologiesPocketLAIPlant area index02 engineering and technologyrice; effective plant area index (PAI<sub><i>eff</i></sub>); PocketLAI; smartphone; high-resolution mapsmartphonehigh-resolution map01 natural sciencesparasitic diseasesLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2. Zero hungerPhenologyCrop yieldriceQCiències de la terrafood and beverages15. Life on landSmartphone appGeneral Earth and Planetary SciencesEnvironmental scienceSatellitedescription
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 (PAI(eff)) 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 PAI(eff) measurements. It was used during an entire rice season for indirect PAI(eff) estimations and for deriving reference high-resolution PAI(eff) maps. Ground PAI(eff) values acquired with PocketLAI, LAI-2000, and DHP were well correlated (R-2 = 0.95, RMSE = 0.21 m(2)/m(2) for Licor-2000, and R-2 = 0.94, RMSE = 0.6 m(2)/m(2) for DHP). Complementary data such as phenology and leaf chlorophyll content were acquired to complement seasonal rice plant information provided by PAI(eff). High-resolution PAI(eff) 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-03-01 | Remote Sensing |