Revista de Teledetección - Núm. 58 (2021)

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https://riunet.upv.es/handle/10251/169759

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Artículos de investigación

Determination of land surface temperature using Landsat 8 images: Comparative study of algorithms on the city of Granada
Estimation of rice crop evapotranspiration in Perú based on the METRIC algorithm and UAV images
Mapping Sandy Areas and their changes using remote sensing. A Case Study at North-East Al-Muthanna Province, South of Iraq
Monitoring water storage changes in Middle and Low Paraná river basin using GRACE, GRACE FO, TRMM and GLDAS data
Evaluation of classification algorithms in the Google Earth Engine platform for the identification and change detection of rural and periurban buildings from very high-resolution images
Evaluation of segmentation parameters in OBIA for classification of land covers from UAV images

Casos prácticos

Application of a simplified methodology to estimate reservoir capacity curves
Study of water level fluctuations in Gallocanta Lake (Aragón, Spain) using Sentinel-2 imagery
Surface water extent dynamics from three periods of continuous Landsat time series; subregional differences across Argentine plains

Tesis doctorales

Integration of remote sensing images in the development of environmental indicators in Mediterranean basins. Application for monitoring water status and productivity

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Now showing 1 - 5 of 10

Estimación de la evapotranspiración del cultivo de arroz en Perú mediante el algoritmo METRIC e imágenes VANT
(Universitat Politècnica de València, 2021-07-21) Quille-Mamani, Javier A.; Ramos-Fernández, Lia; Ontiveros-Capurata, Ronald E.; Instituto Nacional de Innovación Agraria, Perú
[EN] Modern remote measurement techniques using cameras mounted on an unmanned aerial vehicle (UAV) have made possible to acquire high-resolution images and estimating evapotranspiration at more detailed spatial and temporal scales. The objective of the present research was to estimate crop evapotranspiration (ETc) of rice crop using the “mapping evapotranspiration with internalized calibration model (METRIC)” using high spatial resolution multispectral and thermal images obtained from a UAV. A total of 18 flights with UAV were performed to get the images; likewise, data were collected from the weather station and thermocouple information installed in the crop canopy under soil water potential conditions of –10 kPa (T1), –15 kPa (T2), –20 kPa (T3) and a control of 0 kPa (T0), from November 13, 2017, to April 30, 2018. The results indicate that the METRIC model compared to ETc measurements recorded by a field drainage lysimeter presents a Pearson correlation coefficient (r) of 0.97, root mean square error (RMSE) of 0.51 mm d–1, Nash-Sutcliffe coefficient (EF) of 0.87 and underestimation of 7 %. Evapotranspiration reached values of 7.48 mm d–1, with differences between treatments of 0.2 %, 6 % and 8 % concerning to T0 and yield reduction of 9 %, 34 % and 35 % for T1, T2 and T3 soil water potential. The high[1]resolution images allowed obtaining detailed information on the spatial variability of ETc that could be used in the more efficient application of plot irrigation.
Monitoreo de la variación del almacenamiento de agua en la cuenca del Medio y Bajo Paraná a partir de datos GRACE, GRACE FO, TRMM y GLDAS
(Universitat Politècnica de València, 2021-07-21) Cornero, C.; Pereira, A.; Matos, A. C. O. C.; Pacino, M. C.; Blitzkow, D.; Agencia Santafesina de Ciencia, Tecnología e Innovación
[EN] GRACE (Gravity Recovery and Climate Experiment) is a satellite mission that can monitor mass distributions in the Earth system, which is closely related to the consequences of climate change. This gravimetric satellite allows to obtain monthly variations of the Earth’s gravity field, which can be associated with water mass variations, after removing the effects of oceanic tides and solid Earth, as well as non-tidal oceanic and atmospheric contributions. In this work, data from GRACE (2002-2017) and GRACE FO (since 2018) were used to analyze the variation of the water mass in the Middle and Low Paraná river basin. The interpretation of the results was carried out by associating the mass anomalies derived from GRACE data with information from the TRMM global rainfall mission. Monthly maps of GRACE water mass variations and TRMM precipitation were produced, which made possible a thorough analysis at a regional level of this mass redistribution in the basin, and its connection to the El Niño and La Niña events that took place in the period under study. The water deficits shown in the 2009 GRACE maps are, in fact, related to the intense episode of La Niña that occurred in the period 2008-2009; while the excess of water storage depicted on the 2016 and 2019 maps is connected to the El Niño phenomenon. Moreover, GRACE has also detected drought events in different sectors between 2011-2012, together with floods in the years 2007 and 2010. Monthly GRACE-derived water storage changes were compared with the independent components of the water balance in the region using different hydrological models estimates. Finally, the temporal variations of the groundwater and the soil part (surface water, soil moisture) were analyzed using the Global Land Data Assimilation System GLDAS. The variables showed a good correlation between them, reaching values of r = 0.80.
Integración de imágenes de sensores remotos en el desarrollo de indicadores medioambientales en cuencas mediterráneas. Aplicación al seguimiento de su estado hídrico y productividad
(Universitat Politècnica de València, 2021-07-21) Gómez-Giráldez, P. J.
[EN] This thesis proposes the use of remote sensing images of different spatial, spectral and temporal resolutions that, combined with meteorological, hydrological and phenological data, can be used to produce indicators of different ecosystem variables related to productivity and water status in different unique systems of the Mediterranean region. Specifically, the development of three indicators closely linked to each other is proposed: an indicator of the water status of the soil at the end of the dry season from the state of different vegetation covers; an indicator of the productivity of natural pastures, the main food support for extensive livestock in dehesa ecosystems, based on their status and the climatic conditions of the period evaluated; and, finally, an indicator of the relationship between water state of the soil and the natural pasture phenological state.
Surface water extent dynamics from three periods of continuous Landsat time series; subregional differences across Argentine plains
(Universitat Politècnica de València, 2021-07-21) Aliaga, V. S.; Piccolo, M.C.; Perillo, G.M.E.; Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina; National Science Foundation, EEUU
[EN] The Pampean region in Argentina is an extensive plain characterized by abundant shallow lakes that fulfill many environmental, ecological, and social functions. This study aims to detect the multiannual lake area changes in this region during 2001-2009 using remote sensing, including lakes as small as ≥10,000 m2 or 1 ha. Landsat scenes of the wet (2008-2009), normal (2006), and dry (2008-2009) seasons were obtained, and using remote sensing techniques, the number and area of shallow lakes were calculated. The spatiotemporal variation of shallow lakes was studied in different climate periods in eight singular subregions. Spatial associations between annual precipitation and lake number and area were analyzed through the development of a Geographic Information System (GIS) at a subregional scale. During the study period the total lake area in the Pampean region decreased by 5257.39 km2 (62 %), but each subregion showed different responses to climatic events. In seven of them, the differences between climate periods prove to be statistically significant (P>0.01). The relationship between precipitation and lake number and area revealed the domain of positive association. We conclude that climate factors play a dominant role in lake changes across the Pampean plains. However, other factors such as origin, topographic and edaphic characteristics intensify or mitigate changes in surface hydrology.
Estudio de las fluctuaciones del nivel del agua en la laguna de Gallocanta (Aragón, España) mediante imágenes satelitales de Sentinel-2
(Universitat Politècnica de València, 2021-07-21) Morales, S.; Ruiz, M.; Soria, J. M.
[EN] This study has been monitored for five years by Sentinel-2 satellite images, at different seasons of the year, of the fluctuations in the water level of the Gallocanta Lake (between the provinces of Teruel and Zaragoza, Spain) considered a hypersaline and endorheic wetland, which has characteristics that make it unique in the geographical area in which it is located, as well as for the operation of the system. Rainfall in the area has a wide variation giving the maximums in the moths of May and June and the minimums in January and February, with considerable fluctuations in the water level from the almost total drying of the lagoon to the filling with a depth of approximately 3 meters.

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