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• W2183250470 abstract "RESUMEN The moderate resolution imaging spectroradiometer (MODIS) land-surface temperature/emissivity (LST) product is often used for studies in meteorology due to its ability for near realtime evaluations. Colombia, as a country requires a prospective management for its productive ecosystems, but currently does not have sufficient spatially-distributed field data for air tem perature at 2-m above the ground. The traditional validation of MODIS products includes field campaigns for calibrating and measuring differences between the satellite sensor and radiometers. For this research, the LST data on the ground was compared with climatologic stations using multiple regression techniques for improving the accuracy of the LST from MODIS, using MOD09GA, MOD17A2, MOD15A2, MOD13A2 as ancillary parameters (explanatory variables) in the final model. The ground measurements were obtained in the Caribbean zone and the Casanare and Valle del Cauca departments in Colombia, using agroclimatic stations in the first dry season of 2007 and daily MODIS data. Enhanced vegetation index, fraction of photosynthetically active radiation, and net photosynthesis were included in the final model for explaining the vegetation as a key parameter for air temperature. Finally, two factors were proposed for LST estimation: sensor zenith angle and solar zenith angle due to the reflectance of the vegetation and sensitivity of the sensor. El producto moderate resolution imaging spectroradiometer (MODIS) land-surface temperature/emissivity (LST) es a menudo utilizado en estudios meteorologicos para evaluaciones en tiempo cuasireal. Colombia requiere de un manejo prospectivo de sus ecosistemas productivos, sin embargo no existe una alta densidad de mediciones para la temperatura de la superficie (temperatura del aire a 2 m). La validacion clasica de los productos MODIS incluye trabajo de campo para la calibracion y la medicion de las diferencias entre los radiometros y el sensor MODIS. Para esta investigacion, los datos del producto LST de MODIS son comparados con estaciones climatologicas usando tecnicas de regresion multiple para aumentar la exactitud de MODIS LST en conjunto con los productos MOD09GA, MOD17A2, MOD15A2 y MOD13A2 como parametros auxiliares (variables explicativas) dentro del modelo final. Las mediciones terrestres se realizaron en la zona Caribe, Casanare y Valle del Cauca, usando las estaciones agroclimatologicas en la primera temporada seca de 2007 y los datos MODIS en version diaria. El indice de vegetacion aumentado, la porcion de radiacion activa fotosintetica y la fotosintesis neta son incluidas en el modelo final como estimadores del parametro clave para la temperatura del aire: la vegetacion. Finalmente dos factores son propuestos para la estimacion de la temperatura de la superficie-LST: angulo cenit del sensor y angulo cenit del sol, que registran los cambios en la reflectancia de la vegetacion y la sensibilidad del sensor." @default.
• W2183250470 created "2016-06-24" @default.
• W2183250470 creator A5010012362 @default.
• W2183250470 date "2013-01-01" @default.
• W2183250470 modified "2023-09-25" @default.
• W2183250470 title "Evaluation of MODIS Land products for air temperature estimations in Colombia Evaluación de productos MODIS LST para la estimación de temperatura de la superficie en Colombia" @default.
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