Revista de Teledeteccion最新文献

{"title":"PhenoApp. Una aplicación basada en Google Earth Engine para el monitoreo de la fenología","authors":"Diego F. García-Díaz, R. Díaz-Delgado","doi":"10.4995/raet.2023.18767","DOIUrl":"https://doi.org/10.4995/raet.2023.18767","url":null,"abstract":"La aplicación PhenoApp ha sido desarrollada en el marco de los proyectos eLTER Plus y SUMHAL, como una herramienta dirigida a científicos y gestores de los sitios integrados en la red eLTER, con la cual puede realizarse un seguimiento de la fenología a largo plazo de diferentes cubiertas vegetales. La aplicación proporciona un mapa dinámico, que permite la selección de cualquier sitio de la red y consultar las métricas fenológicas de cada píxel o grupo de píxeles generadas con la serie de imágenes Sentinel 2 usando las librerías de Python Ndvi2Gif y PhenoPY. La aplicación integra también los productos de fenología de MODIS (MCD12Q2.006) y de Copernicus Sentinel 2 High Resolution Vegetation Phenology Product (HR-VPP). Además, la aplicación incorpora un formulario que permite al usuario proporcionar los datos de fenología obtenidos in situ (mediante observación directa o fenocámaras), que se usarán para realizar una validación de los distintos productos obtenidos vía satélite. A modo de ejemplo, se muestra la validación efectuada en uno de los sitios de la red eLTER ubicado en el Espacio Natural de Doñana (END), usando como datos in situ los proporcionados por la red de fenocámaras instaladas en la Reserva Biológica de Doñana a partir de 2016, dentro del marco de la Infraestructura Científica y Técnica Singular de Doñana (ICTS-Doñana). Un análisis de validación preliminar pone de manifiesto la necesidad de considerar las discrepancias entre los distintos productos y métodos de acuerdo con la variabilidad fenológica inherente a cada ecosistema.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42197563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelos para la estimación del rendimiento de la caña de azúcar en Costa Rica con datos de campo e índices de vegetación","authors":"Bryan Alemán-Montes, P. Serra, Alaitz Zabala","doi":"10.4995/raet.2023.18705","DOIUrl":"https://doi.org/10.4995/raet.2023.18705","url":null,"abstract":"La teledetección proporciona información de importancia en la estimación de rendimientos de caña de azúcar, ya que su abordaje temporal y espacial permite hacer el seguimiento del cultivo durante su ciclo fenológico. El objetivo de este trabajo era aplicar un método operativo para la estimación del rendimiento agrícola e industrial a través de la combinación de variables de campo con índices de vegetación, calculados con los sensores satelitales a bordo de Sentinel-2 y Landsat-8 en una cooperativa de Costa Rica. Se utilizaron además registros históricos de cosecha y meses de inicio del ciclo fenológico para estimar mediante regresiones lineales múltiples los rendimientos. La integración de registros históricos y el índice de vegetación Simple Ratio (SR), calculados en distintas etapas del ciclo fenológico (en los meses de septiembre, diciembre y enero), permitió obtener un modelo de estimación del rendimiento agrícola (toneladas de caña de azúcar por hectárea) con un coeficiente de regresión (R2) de 0,64 y un RMSE de 8,0 ton/ha. Mientras que para el rendimiento industrial (kilogramos de azúcar refinado por tonelada de caña de azúcar) se obtuvo un R2 de 0,59 integrando variables históricas y los índices de vegetación SR y Green Normalized Difference Vegetation Index (GNDVI); en este caso el RMSE fue de 4,9 kg/ton. En definitiva, este modelo operativo de estimación de rendimientos proporciona herramientas para la toma de decisiones antes, durante y después de la etapa de cosecha.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42862838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A simple method for the estimation of minimum and maximum air temperature monthly mean maps using MODIS images in the region of Murcia, Spain","authors":"A. Galdón-Ruíz, Guillermo Fuentes-Jaque, Jesús Soto, L. Morales-Salinas","doi":"10.4995/raet.2023.18909","DOIUrl":"https://doi.org/10.4995/raet.2023.18909","url":null,"abstract":"Air temperature records are acquired by networks of weather stations which may be several kilometres apart. In complex topographies the representativeness of a meteorological station may be diminished in relation to a flatter valley, and the nearest station may have no relation to a place located near it. The present study shows a simple method to estimate the spatial distribution of minimum and maximum air temperatures from MODIS land surface temperature (LST) and normalized difference vegetation index (NDVI) images. Indeed, there is a strong correlation between MODIS day and night LST products and air temperature records from meteorological stations, which is obtained by using geographically weighted regression equations, and reliable results are found. Then, the results allow to spatially interpolate the coefficients of the local regressions using altitude and NDVI as descriptor variables, to obtain maps of the whole region for minimum and maximum air temperature. Most of the meteorological stations show air temperature estimates that do not have significant differences compared to the measured values. The results showed that the regression coefficients for the selected locations are strong for the correlations between minimum temperature with LSTnight (R2 = 0.69–0.82) and maximum temperature with LSTday (R2 = 0.70–0.87) at the 47 stations. The root mean square errors (RMSE) of the statistical models are 1.0 °C and 0.8 °C for night and daytime temperatures, respectively. Furthermore, the association between each pair of data is significant at the 95% level (p<0.01).","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46732364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water area and volume calculation of two reservoirs in Central Cuba using Remote Sensing Methods. A new perspective","authors":"Alexey Valero-Jorge, R. González-De Zayas, Anamaris Alcántara-Martín, Flor Álvarez-Taboada, Felipe Matos-Pupo, Oscar Brown-Manrique","doi":"10.4995/raet.2022.17770","DOIUrl":"https://doi.org/10.4995/raet.2022.17770","url":null,"abstract":"The availability, quality and management of water constitute essential activities of national, regional and local governments and authorities. Historic annual rain (between 1961 and 2020) in Chambas River Basin (Central Cuba) was evaluated. Two remote sensing methods (Normalized Difference Water Index and RADAR images) were used to calculate the variation of water area and volumes of two reservoirs (Chambas II and Cañada Blanca) of Ciego de Ávila Province at end of wet and dry seasons from 2014-2021. The results showed that mean annual rain was 1330.9 ± 287.4 mm and it did not showed any significant tendency at evaluated period. For both reservoirs, mean water areas measured with two methods were 19 % and 8 % smaller than the mean water area reported by authorities for the same period. The static water storage capacity (water volume) of both reservoirs varied (as area) between seasons with the greatest volume in both reservoirs recorded in October of 2017 (30.5 million of m3 in Chambas II and 45.1 million of m3 in Cañada Blanca reservoir). Large deviations of water area and volumes occurred during the dry season (lower values) and the wet season of 2017 (influenced by rain associated to of Hurricane Irma) and wet season of 2020 (influenced by rain associated to tropical storm Laura). Calculated area – volume models with significant statistical correlation are another useful tool that could be used to improve water management in terms of accuracy and to increase reliable results in cases where gauge measurements are scarce or not available.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44348003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved rainfall and temperature satellite dataset in areas with scarce weather stations data: case study in Ancash, Peru","authors":"Eduardo E. Villavicencio, Katy D. Medina, E. Loarte, Hairo A. León","doi":"10.4995/raet.2022.16907","DOIUrl":"https://doi.org/10.4995/raet.2022.16907","url":null,"abstract":"Rainfall and temperature variables play an important role in understanding meteorology at global and regional scales. However, the availability of meteorological information in areas of complex topography is difficult, as the density of weather stations is often very low. In this study, we focused on improving existing satellite products for these areas, using Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) data for rainfall and Modern Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) data for air temperature. Our objective was to propose a model that improves the accuracy and correlation of satellite data with observed data on a monthly scale during 2012-2017. The improvement of rainfall satellite data was performed using 4 regions: region 1 Santa (R1Sn), region 2 Marañón (R2Mr), region 3 Pativilca (R3Pt) and region 4 Pacific (R4Pc). For temperature, a model based on the use of the slope obtained between temperature and altitude data was used. In addition, the reliability of the TRMM, GPM and MERRA-2 data was analyzed based on the ratio of the mean square error, PBIAS, Nash-Sutcliffe efficiency (NSE) and correlation coefficient. The final products obtained from the model for temperature are reliable with R2 ranging from 0.72 to 0.95 for the months of February and August respectively, while the improved rainfall products obtained are shown to be acceptable (NSE≥0.6) for the regions R1Sn, R2Mr and R3Pt. However, in R4Pc it is unacceptable (NSE<0.4), reflecting that the additive model is not suitable in regions with low rainfall values.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42374168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Análisis de sinergias entre Isla de Calor Urbana y Olas de Calor mediante imágenes Sentinel 3 sobre la ciudad de Granada","authors":"David Hidalgo-García, Julián Arco-Díaz","doi":"10.4995/raet.2022.17128","DOIUrl":"https://doi.org/10.4995/raet.2022.17128","url":null,"abstract":"Comprender las sinergias existentes entre el fenómeno de Isla de Calor Urbano (ICU) y uno de los eventos climáticos extremos como son las olas de calor se ha convertido en uno de los grandes retos de la sociedad que persigue la mejora de la calidad de vida. En esta investigación, se ha determinado la Temperatura de la Superficie Terrestre (TST) y la Isla de Calor Urbana de Superficie (ICUS) mediante imágenes Sentinel-3 de la ciudad de Granada (España) durante los meses de julio y agosto de los años 2019 y 2020. El objetivo es el de determinar las posibles sinergias entre ambos fenómenos en una zona calificada como de alta vulnerabilidad a los efectos del cambio climático. Mediante el método de análisis estadístico Datos de Panel se han obtenido las relaciones multivariantes durante los periodos de ola de calor. Los resultados obtenidos en esta investigación y en línea con estudios anteriores, indican que los valores medios de TST y de ICUS se intensifican bajo condiciones de ola de calor en comparación con los periodos sin ola de calor (Diurnas: ΔTST=2,2 °C y ΔICUS=0,2 °C; Nocturnas: ΔTST=4,4 °C y ΔICUS= 0,3 °C). Se reportan relaciones entre la ICUS y la radiación solar y la dirección del viento que se intensifican en periodos de ola de calor.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46970430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Resolution Land Cover Mapping and Crop Classification in the Loukkos Watershed (Northern Morocco): An Approach Using SAR Sentinel-1 Time Series","authors":"El Mortaji Nizar, Miriam Wahbi, Mohamed Ait Kazzi, Otmane Yazidi Alaoui, H. Boulaassal, M. Maâtouk, M. Zaghloul, Omar El Kharki","doi":"10.4995/raet.2022.17426","DOIUrl":"https://doi.org/10.4995/raet.2022.17426","url":null,"abstract":"Remote  sensing  has  become  more  and  more  a  reliable  tool  for  mapping  land  cover  and  monitoring  cropland. Much of the work done in this field uses optical remote sensing data. In Morocco, active remote sensing data remain under-exploited despite their importance in monitoring spatial and temporal dynamics of land cover and crops even during cloudy weather. This study aims to explore the potential of C-band Sentinel-1 data in the production of a high-resolution land cover mapping and crop classification within the irrigated Loukkos watershed agricultural landscape in northern Morocco. The work was achieved by using 33 dual-polarized images in vertical-vertical  (VV)  and  vertical-horizontal  (VH)  polarizations.  The  images  were  acquired  in  ascending  orbits  between  April 16 and October 25, 2020, with the purpose to track the backscattering behavior of the main crops and other land  cover  classes  in  the  study  area.  The  results  showed  that  the  backscatter  increased  with  the  phenological  development  of  the  monitored  crops  (rice,  watermelon,  peanuts,  and  winter  crops),  strongly  for  the  VH  and  VV  bands, and slightly for the VH/VV ratio. The other classes (water, built-up, forest, fruit trees, permanent vegetation, greenhouses, and bare lands) did not show significant variation during this period. Based on the backscattering analysis and the field data, a supervised classification was carried out, using the Random Forest Classifier (RF) algorithm.  Results  showed  that  radiometric  characteristics  and  6  days’  time  resolution  covered  by  Sentinel-1  constellation gave a high classification accuracy by dual-polarization with Radar Ratio (VH/VV) or Radar Vegetation Index and textural features (between 74.07% and 75.19%). Accordingly, this study proves that the Sentinel-1 data provide useful information and a high potential for multi-temporal analyses of crop monitoring, and reliable land cover mapping which could be a practical source of information for various purposes in order to undertake food security issues.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48108357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover classifications in wetlands using Sentinel-1 data (Band C): a case study in the Parana river delta, Argentina","authors":"M. Rajngewerc, R. Grimson, L. Bali, P. Minotti, P. Kandus","doi":"10.4995/raet.2022.16915","DOIUrl":"https://doi.org/10.4995/raet.2022.16915","url":null,"abstract":"With the launch of the Sentinel-1 mission, for the first time, multitemporal and dual-polarization C-band SAR data with a short revisit time is freely available. How can we use this data to generate accurate vegetation cover maps on a local scale? Our main objective was to assess the use of multitemporal C-Band Sentinel-1 data to generate wetland vegetation maps. We considered a portion of the Lower Delta of the Paraná River wetland (Argentina). Seventy-four images were acquired and 90 datasets were created with them, each one addressing a combination of seasons (spring, autumn, winter, summer, complete set), polarization (VV, HV, both), and texture measures (included or not). For each dataset, a Random Forest classifier was trained. Then, the kappa index values (κ) obtained by the 90 classifications made were compared. Considering the datasets formed by the intensity values, for the winter dates the achieved kappa index values (κ) were higher than 0.8, while all summer datasets achieved κ up to 0.76. Including feature textures based on the GLCM showed improvements in the classifications: for the summer datasets, the κ improvements were between 9% and 22% and for winter datasets improvements were up to 15%. Our results suggest that for the analyzed context, winter is the most informative season. Moreover, for dates associated with high biomass, the textures provide complementary information.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45642060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimación de emisiones atmosféricas de CO₂, NO₂, CO, NH₃ y Black Carbon vía bottom up, generados por quema de biomasa en el norte de América del Sur","authors":"G. M. Valencia, Jesús A. Anaya, F. Caro-Lopera","doi":"10.4995/raet.2022.15594","DOIUrl":"https://doi.org/10.4995/raet.2022.15594","url":null,"abstract":"Biomass burning is an important source of greenhouse gases (GHG) and air pollutants (AP) in developing countries. In this research, a bottom-up method was implemented for the estimation of emissions, emphasizing the validation process of aerial biomass products (AGB), which it has not been sufficiently approached from the point of view of the quantification of emissions. The most recent results on the validation of burned area (AQ) products and the analysis of uncertainty were also incorporated into the process of estimating the emissions of gases that directly or indirectly promote the greenhouse effect, such as CO₂, NO₂, CO, NH₃, and Black Carbon (BC). In total, 87.60 Mha were burned in the region between 2001 and 2016, represented in a 57% by pasture lands a 23% by savannas, an 8% by savanna woodlands, an 8% by mixed soils with crops and natural vegetation, a 3% by evergreen broadleaf forests, and a 1 % in the region´s remaining types of land cover. With 35480 reference polygons, a model based on the uncertainty of AQ was generated, which served to find the calibration factor of the FireCCI5.0 in all the studied species. The total emissions (minimum and maximum) and the average of the same in the study period were the following: 1760 Tg CO₂ (765.07-2552.88; average 110 Tg), 68.12 Tg of CO (27.11-98.87; average 4.26 Tg), 3.05 Tg of NO₂ (1.27-4.40; average 0.19 Tg), 0.76 Tg of NH₃ (0.33-1.12; average 0.05 Tg), and 0.44 Tg of Black Carbon (0.015-0.64; average 0.03 Tg).","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45187771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimación de la subsidencia en torno a la traza de la falla de San Ramón Chile, mediante la técnica SBAS DInSAR usando imágenes TerraSAR-X","authors":"Patricio Lamperein-Polo, Paulina Vidal-Páez, Waldo Pérez-Martínez","doi":"10.4995/raet.2022.15640","DOIUrl":"https://doi.org/10.4995/raet.2022.15640","url":null,"abstract":"Chile is one of the countries with the highest seismicity in the world and is affected by three types of seismogenic sources; interplate, intraplate and superficial or cortical intraplate. In this context, in the eastern sector of the city of Santiago, capital of Chile, the Falla San Ramón (FSR) is located. It is a cortical seismogenic source, which threatens its habitants and the various economic activities that are located in that sector, geological hazards such as earthquakes and mass removals. In relation to the above, this study aims to identify and establish the subsidence areas in a longitudinal strip of the Santiago mountain front and its impact on the neighboring communes to the FSR trace during the years 2011 to 2017. To do this, The DInSAR technique was used with the Small Baseline Subset (SBAS) algorithm through a time series of images from the TerraSAR-X (TSX) satellite. The results show subsidence zones, with average displacements ranging from -13.11 mm to +9.89 mm, with an average annual speed rate of -2.19 to +1.65 mm/year.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49346150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}