Revista de Teledeteccion最新文献_第7页

Modelos 3D derivados de fotogrametría terrestre para la estimación de variables de inventario forestal 利用地球摄影测量得到的三维模型来估计森林清查变量

IF 0.7

Revista de Teledeteccion Pub Date : 2018-06-29 DOI: 10.4995/RAET.2018.9174

A. Eugenio, A. Fernández-Landa, S. Merino-de-Miguel

{"title":"Modelos 3D derivados de fotogrametría terrestre para la estimación de variables de inventario forestal","authors":"A. Eugenio, A. Fernández-Landa, S. Merino-de-Miguel","doi":"10.4995/RAET.2018.9174","DOIUrl":"https://doi.org/10.4995/RAET.2018.9174","url":null,"abstract":"The management of forest resources should be based on reliable measurements of individual standing trees. At the beginning, these measurements allow us to estimate equations and models, which in turn are used to be applied to similar individuals with the objective of estimate variables such as timber volume at plot or stand level. Traditionally, these measurements required the destruction of several standing trees. The present work intends the construction of three-dimensional models of standing trees by terrestrial photogrammetry. With this purpose, four plots were sampled in the MUP n°39 (Madrid) in each of which 5 representative trees were measured and photographed. For the measurement of standing trees, we used: tree caliper, Criterion RD1000 dendrometer and Vertex III hipsometer. The images were taken with a non-metric Canon IXUS 85 IS camera. Three-dimensional models were constructed from the images using VisualSFM software. Subsequently, measurements were made on these models using Meshlab software. The evaluation is performed by comparing the diameters measured on the 3D models with those obtained by other validated measurement methodology (using the Criterion RD1000 laser dendrometer). No significant differences were found between those measurements made with the Criterion and those made on the 3D models. Wood volume estimation of standing trees using photogrammetry is a sound alternative with potential for the next years.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42176363","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}

引用次数: 4

Identificación de áreas quemadas mediante el análisis de series de tiempo en el ámbito de computación en la nube 利用时间序列分析识别云计算领域的烧伤区域

IF 0.7

Revista de Teledeteccion Pub Date : 2018-06-29 DOI: 10.4995/RAET.2018.8618

Jesús A. Anaya, W. Sione, A. M. Rodriguez-Montellano

{"title":"Identificación de áreas quemadas mediante el análisis de series de tiempo en el ámbito de computación en la nube","authors":"Jesús A. Anaya, W. Sione, A. M. Rodriguez-Montellano","doi":"10.4995/RAET.2018.8618","DOIUrl":"https://doi.org/10.4995/RAET.2018.8618","url":null,"abstract":"There are large omission errors in the estimation of burned area in map products that are generated at a global scale. This error is then inherited by other models, for instance, those used to report Greenhouse Gas Emissions using a “bottom up” approach. This study evaluates temporal methods to improve burned area detection using Landsat 5-TM and 8-OLI. In this process, the normalized burn ratio (NBR) was used to highlight burned areas and thresholds to classify burned and non-burned areas. In order to maximize the burned area detection two alternatives to the temporal dNBR method were evaluated: the relative form of the temporal difference RdNBR and the use of time series metrics. The processing, algorithm development and access to Landsat data was made on the Google Earth Engine GEE platform. Three regions of Latin America with large fire occurrence were selected: The Amazon Forest in Colombia, the transition from Chiquitano to Amazon Forest in Bolivia, and El Chaco Region in Argentina. The accuracy assessment of these new products was based on burned area protocols. The best model classified 85% of burned areas in the Chiquitano Forests of Bolivia, 63% of the burned areas of the Amazon Forests of Colombia and 69% of burned areas in El Chaco of Argentina.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46722079","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}

引用次数: 4

Estimación de la cosecha de trigo en Andalucía usando series temporales de MERIS Terrestrial Chlorophyll Index (MTCI) 利用MERIS陆地叶绿素指数(MTCI)时间序列估算安达卢西亚小麦收成

IF 0.7

Revista de Teledeteccion Pub Date : 2018-06-29 DOI: 10.4995/raet.2018.8891

V. Egea-Cobrero, V. Rodriguez-Galiano, E. Sánchez-Rodríguez, M. García-Pérez

{"title":"Estimación de la cosecha de trigo en Andalucía usando series temporales de MERIS Terrestrial Chlorophyll Index (MTCI)","authors":"V. Egea-Cobrero, V. Rodriguez-Galiano, E. Sánchez-Rodríguez, M. García-Pérez","doi":"10.4995/raet.2018.8891","DOIUrl":"https://doi.org/10.4995/raet.2018.8891","url":null,"abstract":"There is a relationship between net primary production of wheat and vegetation indices obtained from satellite imaging. Most wheat production studies use the Normalised Difference Vegetation Index (NDVI) to estimate the production and yield of wheat and other crops. On the one hand, few studies use the MERIS Terrestrial Chlorophyll Index (MTCI) to determine crop yield and production on a regional level. This is possibly due to a lack of continuity of MERIS. On the other hand, the emergence of Sentinel 2 open new possibilities for the research and application of MTCI. This study has built two empirical models to estimate wheat production and yield in Andalusia. To this end, the study used the complete times series (weekly images from 2006–2011) of the MTCI vegetation index from the Medium Resolution Imaging Spectrometer (MERIS) sensor associated with the Andalusian yearbook for agricultural and fishing statistics (AEAP—Anuario de estadísticas agrarias y pesqueras de Andalucía). In order to build these models, the optimal development period for the plant needed to be identified, as did the time-based aggregation of MTCI values using said optimal period as a reference, and relation with the index, with direct observations of production and yield through spatial aggregation using coverage from the Geographic Information System for Agricultural Parcels (SIGPAC—Sistema de información geográfica de parcelas agrícolas) and requests for common agricultural policy (CAP) assistance. The obtained results indicate a significant association between the MTCI index and the production and yield data collected by AEAP at the 95% confidence level (R2 =0.81 and R2 =0.57, respectively).","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70599128","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}

引用次数: 1

Potencial para la exploración de aguas subterráneas en la Demarcación Hidrográfica Puyango Catamayo, Ecuador, utilizando un proceso de análisis jerárquico basado en SIG y teledetección 利用基于地理信息系统和遥感的层次分析过程在厄瓜多尔Puyango Catamayo流域勘探地下水的潜力

IF 0.7

Revista de Teledeteccion Pub Date : 2018-06-29 DOI: 10.4995/RAET.2018.7592

V. X. Macas-Espinosa, K. F. López-Escobar

{"title":"Potencial para la exploración de aguas subterráneas en la Demarcación Hidrográfica Puyango Catamayo, Ecuador, utilizando un proceso de análisis jerárquico basado en SIG y teledetección","authors":"V. X. Macas-Espinosa, K. F. López-Escobar","doi":"10.4995/RAET.2018.7592","DOIUrl":"https://doi.org/10.4995/RAET.2018.7592","url":null,"abstract":"The objective of this study is to apply geographic information systems and remote sensing techniques to map potential areas for groundwater exploration in the Puyango Catamayo hydrographic demarcation, based on free input data. The research’s primary data are a digital elevation model, satellite images, regional geology and rainfall. From the methodological point of view, Multi-Criteria Decision Analysis is applied, using an Analytic Hierarchy Process, which takes as thematic layers the rock permeability, the rainfall, the drainage density, the terrain slope, and the normalized difference vegetation index. Thus, the Groundwater Potential Index is obtained, which is used to map potential areas for groundwater exploration. The resulting map is compared with the existing data of the water point inventory, generated by the Ecuador’s National Institute of Meteorology and Hydrology. Data validation by this method shows that 30% of the water points are located in areas not suitable for groundwater exploration, while 70% are in favorable areas.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47907099","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}

引用次数: 2

Evaluación de dos modelos para la estimación de la evapotranspiración de referencia con datos CERES 利用CERES数据估算参考蒸散量的两个模型的评价

IF 0.7

Revista de Teledeteccion Pub Date : 2018-06-29 DOI: 10.4995/RAET.2018.9259

Facundo Carmona, M. Holzman, R. Rivas, M. F. Degano, E. Kruse, M. Bayala

{"title":"Evaluación de dos modelos para la estimación de la evapotranspiración de referencia con datos CERES","authors":"Facundo Carmona, M. Holzman, R. Rivas, M. F. Degano, E. Kruse, M. Bayala","doi":"10.4995/RAET.2018.9259","DOIUrl":"https://doi.org/10.4995/RAET.2018.9259","url":null,"abstract":"Evapotranspiration is the most important variable in the Pampas plain. Information provided by sensors onboard satellite missions allows represent the spatial and temporal variability of evapotranspiration, which cannot be achieved using only measurements of weather stations. In this work, the Priestley and Taylor (PT) and FAO Penman Monteith (FAO PM) equations were adapted to estimate the reference evapotranspiration, ET0 , using only CERES satellite products (SYN1 and CldTypHist). In order to evaluate the reference evapotranspiration from CERES, a comparison with in situ measurements was conducted. We used ET data provided by the Oficina de Riesgo Agropecuario, corresponding to 24 stations placed in the Pampean Region of Argentina (2001-2016). Results showed very good agreement between the estimates with CERES products and in situ values, with errors between ±0.8 and ±1.1 mm d–1 and r2 greater than 0.75 at daily scale, and errors between ±14 and ±19 mm month–1 and r2 greater than 0.9, at monthly scale better results were obtained with adapted model FAO PM than PT. Finally, ET0 monthly maps for the Pampean Region of Argentina were elaborated, which allowed knowing the temporal-spatial variation in the validation area. In conclusion, the methods presented here are a suitable alternative to estimate the reference evapotranspiration without requiring ground measurements.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42296325","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}

引用次数: 6

Combination of satellite imagery with meteorological data for estimating reference evapotranspiration 结合卫星影像与气象资料估算参考蒸散量

IF 0.7

Revista de Teledeteccion Pub Date : 2018-06-29 DOI: 10.4995/RAET.2018.7688

D. Montero, F. Echeverry, F. Hernandez

引用次数: 3

TISSBERT: A benchmark for the validation and comparison of NDVI time series reconstruction methods TISSBERT:一个验证和比较NDVI时间序列重建方法的基准

IF 0.7

Revista de Teledeteccion Pub Date : 2018-06-29 DOI: 10.4995/RAET.2018.9749

Y. Julien, J. Sobrino

{"title":"TISSBERT: A benchmark for the validation and comparison of NDVI time series reconstruction methods","authors":"Y. Julien, J. Sobrino","doi":"10.4995/RAET.2018.9749","DOIUrl":"https://doi.org/10.4995/RAET.2018.9749","url":null,"abstract":"This paper introduces the Time Series Simulation for Benchmarking of Reconstruction Techniques (TISSBERT) dataset, intended to provide a benchmark for the validation and comparison of time series reconstruction methods. Such methods are routinely used to estimate vegetation characteristics from optical remotely sensed data, where the presence of clouds decreases the usefulness of the data. As for their validation, these methods have been compared with previously published ones, although with different approaches, which sometimes lead to contradictory results. We designed the TISSBERT dataset to be generic so that it could simulate realistic reference and cloud-contaminated time series at global scale. To that end, we estimated both cloud-free and cloud-contaminated Normalized Difference Vegetation Index (NDVI) statistics for randomly selected control points and each day of the year from the Long Term Data Record Version 4 (LTDR-V4) dataset by assuming different statistical distributions. The best approach was then applied to the whole dataset, and validity of the results were estimated through the Kolmogorov-Smirnov statistic. The dataset elaboration is described thoroughly along with how to use it. The advantages and drawbacks of this dataset are then discussed, which emphasize the realistic simulation of the cloud-contaminated and reference time series. This dataset can be obtained from the authors upon demand. It will be used in a next paper to compare widely used NDVI time series reconstruction methods.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44363315","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}

引用次数: 5

Estimación del grado de severidad de incendios en el sur de la provincia de Buenos Aires, Argentina, usando Sentinel-2 y su comparación con Landsat-8 利用Sentinel-2估算阿根廷布宜诺斯艾利斯省南部的火灾严重程度，并与Landsat-8进行比较

IF 0.7

Revista de Teledeteccion Pub Date : 2018-06-29 DOI: 10.4995/RAET.2018.8934

J. Delegido, Alejandro Pezzola, A. Casella, Cristina Winschel, Esther Patricia Urrego, J. C. Jimenez, J. A. Sobrino, Guillem Sòria, J. Moreno

{"title":"Estimación del grado de severidad de incendios en el sur de la provincia de Buenos Aires, Argentina, usando Sentinel-2 y su comparación con Landsat-8","authors":"J. Delegido, Alejandro Pezzola, A. Casella, Cristina Winschel, Esther Patricia Urrego, J. C. Jimenez, J. A. Sobrino, Guillem Sòria, J. Moreno","doi":"10.4995/RAET.2018.8934","DOIUrl":"https://doi.org/10.4995/RAET.2018.8934","url":null,"abstract":"Assessment of rural fire severity is fundamental to evaluate fire damages and to analyze recovery processes in a low-cost and efficient way. Burnt areas covering shrubs and grasslands were estimated in more than 30,000 km2 in Argentina from December 2016 to January 2017. The study area presented in this work is located in the South of the Buenos Aires province, and it covers a semiarid area with the presence of xerophilous shrubs and grasslands. This is one of the most abundant ecosystem in Central and Southern Argentina. Field campaigns were carried out over the area affected by the fire in order to georreference the burnt plots and characterized the fire severity in 5 levels. The objective of this work is to analyze the feasibility of new satellites Sentinel-2 for fire studies, as well as provide a comparison to Landsat-8 derived results, because this mission has been one of the most used in it. Pre-fire and postfire Sentinel-2 and Landsat-8 imagery were used to analyze different band combinations to compute a Normalized Difference Spectral Index (NDSI), as well as the difference of this index before and after the fire (dNDSI). Results show a significant correlation (R2 =0.72 and estimation error of 0.77) between dNDSI derived from Sentinel-2 and the severity levels obtained in the field campaign using bands 8a and 12 (NIR and SWIR), the same bands as used in the Normalized Burn Ratio (NBR). Moreover, results derived from Sentinel-2 are better than results derived from Landsat-8 (R2 =0.63 and estimation error of 0.92). Furthermore, it is observed that the correlation is improved when Sentinel-2 bands 6 and 5 (located in the Red-Edge region) are considered (R2 =0.74 and estimation error of 0.76). An inverse correlation has been observed between the recovery of vegetation four months after the fire and the fire severity level.","PeriodicalId":43626,"journal":{"name":"Revista de Teledeteccion","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47824198","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}

引用次数: 11