Anomalías de vegetación asociadas con el fenómeno del ENOS en el valle geográfico del río Cauca, Colombia

Valencia, Jefferson; Garcia, Cesar Edwin; Montero, David

doi:10.4995/raet.2017.7715

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…The study area is located in the Cauca river valley, Valle del Cauca, Colombia (Figure 1), an alluvial plain in the vicinity of the Cauca river at an altitude that varies between 900 and 1100 m. The study area has a tropical savanna climate (Aw) where the rainfall regime has a bimodal distribution with two dry quarters from December to February and from June to August and with two rainy quarters from March to May and from September to November with an average annual precipitation of approximately 1000 mm, an average temperature of 24°C and an average monthly relative humidity that varies between 70 and 75% (Valencia et al, 2017). …”

Section: Study Areamentioning

confidence: 99%

Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

2018

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Abstract:The Food and Agriculture Organization of the United Nations (FAO) in its publication No. 56 of the Irrigation and Drainage Series presents the FAO Penman-Monteith procedure for the estimation of reference evapotranspiration from meteorological data, however, its calculation may be complicated in areas where there are no weather stations. This paper presents an evaluation of the potential of the Land Surface Temperature and Digital Elevation Models products derived from the MODIS and ASTER sensors, both on board the Terra EOS AM-1 satellite, for the estimation of reference evapotranspiration using the Penman-Monteith FAO-56, Hargreaves, Thornthwaite and Blaney-Criddle models. The four models were compared with the method proposed by FAO calculated with the observed data of a ground based meteorological station, finding a significant relation with the models Penman-Monteith FAO-56 and Hargreaves.Key words: Land Surface Temperature, MODIS, ASTER, reference evapotranspiration, FAO. Combinación de imágenes satelitales con datos meteorológicos para la estimación de la evapotranspiración de referenciaResumen: La Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO) en su publicación No 56 de la Serie de Riego y Drenaje presenta el procedimiento FAO Penman-Monteith para la estimación de la evapotranspiración de referencia a partir de datos meteorológicos, no obstante, su cálculo puede complicarse en zonas donde no se cuenta con estaciones meteorológicas. El presente artículo exhibe una evaluación del potencial de productos de Temperatura Superficial Terrestre y Modelos Digitales de Elevación derivados de imágenes adquiridas por los sensores MODIS y ASTER, ambos a bordo del satélite Terra EOS AM-1, para la estimación de la evapotranspiración de referencia utilizando los modelos de Penman-Monteith FAO-56, Hargreaves, Thornthwaite y Blaney-Criddle. Los cuatro modelos fueron comparados con el método propuesto por la FAO calculado con datos observados de una estación meteorológica en tierra, encontrando una relación significativa con los modelos Penman-Monteith FAO-56 y Hargreaves.Palabras clave: Temperatura Superficial Terrestre, MODIS, ASTER, evapotranspiración de referencia, FAO.

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Section: Study Areamentioning

confidence: 99%

Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

2018

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“…Precipitation data from the meteorological station of Las Tablas de Daimiel were obtained (https://eportal.mapa.gob.es/websiar/SeleccionParametrosMap.aspx?dst=1, accessed on 11 April 2023). With these values, the precipitation anomaly index was calculated, IAP i (Equation ( 2)) [8,31].…”

Section: Image Processingmentioning

confidence: 99%

Remote Sensing Temporal Reconstruction of the Flooded Area in “Tablas de Daimiel” Inland Wetland 2000–2021

Pena-Regueiro

Estornell

Aguilar-Maldonado

et al. 2023

Sensors

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Tablas de Daimiel National Park (TDNP) is a unique inland wetland located in the Mancha plain (Spain). It is recognized at the international level, and it is protected by different figures, such as Biosphere Reserve. However, this ecosystem is endangered due to aquifer overexploitation, and it is at risk of losing its protection figures. The objective of our study is to analyze the evolution of the flooded area between the year 2000 and 2021 by Landsat (5, 7 and 8) and Sentinel-2 images, and to assess the TDNP state through an anomaly analysis of the total water body surface. Several water indices were tested, but the NDWI index for Sentinel-2 (threshold −0.20), the MNDWI for Landsat-5 (threshold −0.15), and the MNDWI for Landsat-8 (threshold −0.25) showed the highest accuracy to calculate the flooded surface inside the protected area’s limits. During the period 2015–2021, we compared the performance of Landsat-8 and Sentinel-2 and an R2 value of 0.87 was obtained for this analysis, indicating a high correspondence between both sensors. Our results indicate a high variability of the flooded areas during the analyzed period with significant peaks, the most notorious in the second quarter of 2010. Minimum flooded areas were observed with negative precipitation index anomalies since fourth quarter of 2004 to fourth quarter of 2009. This period corresponds to a severe drought that affected this region and caused important deterioration. No significant correlation was observed between water surface anomalies and precipitation anomalies, and the significant correlation with flow and piezometric anomalies was moderate. This can be explained because of the complexity of water uses in this wetland, which includes illegal wells and the geological heterogeneity.

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“…La zona arrocera al sur del Valle del Cauca se extiende aproximadamente entre los 3° 5' 0'' a los 3° 20' 0'' de latitud norte y entre los 76° 10' 0'' y 76° 50' 0'' de longitud oeste. La elevación de la zona es de unos 1 000 msnm; predomina una temperatura media de 23 °C, con una oscilación diaria de 11 °C; húmeda relativa del 73 al 80 %; brillo solar de 138 a 200 horas mensuales (Valencia, García, & Montero, 2017). Según Köppen, corresponde al clima tropical lluvioso de bosque (Martínez & Mendivelso, 2004: p. 53) (Figura 1).…”

Section: Materiales Y Métodosunclassified

Modelos de evapotranspiración de referencia diaria en la zona arrocera del Valle del Cauca, Colombia

Valencia-Gonzalez

Arteaga-Ramírez

Vázquez-Peña

et al. 2022

Tecnol. cienc. agua

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ETo) cuantifican y planifican el uso de la disponibilidad hídrica y, en consecuencia, determinan un consumo diario, más en las condiciones donde la falta de información climática interrumpe el rendimiento de los diversos modelos para estimar la evapotranspiración de referencia diaria en una determinada región. El objetivo de este trabajo es evaluar el comportamiento de las ecuaciones de Hargreaves-Samani, Priestley y Taylor, García y López, y Linacre en el cálculo de la evapotranspiración de referencia diaria (ETo) respecto a la ecuación de FAO Penman-Monteith (PM), utilizando la información diaria de cinco estaciones próximas a la zona productora de arroz del Valle del Cauca, Colombia. Se estimó la evapotranspiración de referencia diaria de 28 años consecutivos; se utilizaron los indicadores estadísticos: coeficiente de determinación (R 2 ); la raíz cuadrada del cuadrado medio del error (RMSE); eficiencia de Nash-Sutcliffe (NSE), y diagramas de cajas para definir la bondad de los modelos utilizados. Los modelos Priestley-Taylor (PT) y Linacre (LN) han exhibido los resultados más afines al modelo estándar. Las estaciones Ing. Bengala y Ciat Quilichao se exhiben como las áreas que mejores 2022, Instituto Mexicano de Tecnología del Agua Open Access bajo la licencia CC BY-NC-SA 4.0

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Anomalías de vegetación asociadas con el fenómeno del ENOS en el valle geográfico del río Cauca, Colombia

Cited by 5 publications

References 8 publications

Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

Remote Sensing Temporal Reconstruction of the Flooded Area in “Tablas de Daimiel” Inland Wetland 2000–2021

Modelos de evapotranspiración de referencia diaria en la zona arrocera del Valle del Cauca, Colombia

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