6533b7d1fe1ef96bd125cec5

RESEARCH PRODUCT

Early assessment of crop yield from remotely sensed water stress and solar radiation data

Facundo CarmonaRaquel NiclòsMauro HolzmanRaúl Eduardo Rivas

subject

Limiting factor010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyGeociencias multidisciplinariaAtmospheric sciences01 natural sciencesCiencias de la Tierra y relacionadas con el Medio AmbienteCropYIELD ESTIMATIONYield (wine)EvapotranspirationComputers in Earth SciencesEngineering (miscellaneous)Water content021101 geological & geomatics engineering0105 earth and related environmental sciencesEVAPOTRANSPIRATIONCrop yieldFOOD SECURITYCROP WATER STRESSVegetationAtomic and Molecular Physics and OpticsComputer Science ApplicationsSoil waterEnvironmental scienceCIENCIAS NATURALES Y EXACTAS

description

Soil moisture (SM) available for evapotranspiration is crucial for food security, given the significant interannual yield variability of rainfed crops in large agricultural regions. Also, incoming solar radiation (Rs) influences the photosynthetic rate of vegetated surfaces and can affect productivity. The aim of this work is to evaluate the ability of crop water stress and Rs remotely sensed data to forecast yield at regional scale. Temperature Vegetation Dryness Index (TVDI) was computed as an indicator of crop water stress and soil moisture availability. TVDI during critical growth stage of crops was calculated from MODIS products: MODIS/AQUA 8-day composite LST at 1 km and 16-day composite vegetation index at 1 km. Rs data were obtained from Clouds and the Earth's Radiant Energy System (CERES). The relationship between TVDI, Rs and yield of wheat, corn and soybean was analyzed. High R2 values (0.55–0.82, depending on crop and region) were found in different agro-climatic regions of Argentine Pampas. Validation results showed the suitability of the model RMSE = 330–1300 kg ha−1, Relative Error = 13–34%. However, results were significantly improved considering the most important factor affecting yield. Rs proved to be important for winter crops in humid areas, where incoming radiation can be a limiting factor. In semi-arid regions, soils with low water retention capacity and summer crops, crop water stress showed the best results. Overall, results reflected that the proposed approach is suitable for crop yield forecasting at regional scale several weeks previous to harvest. Fil: Holzman, Mauro Ezequiel. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Azul; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Carmona, Facundo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Rivas, Raúl Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina Fil: Niclòs, Raquel. Universidad de Valencia; España

yearjournalcountryeditionlanguage
2018-11-01ISPRS Journal of Photogrammetry and Remote Sensing
https://doi.org/10.1016/j.isprsjprs.2018.03.014