European Journal of Remote Sensing最新文献_第10页

Active lateral spreads monitoring system in East-Central Sardinia 撒丁岛中东部的主动横向扩散监测系统

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-12-28 DOI: 10.1080/22797254.2022.2161418

Valentino Demurtas, Paolo Emanuele Orrù, G. Deiana

引用次数: 2

GNSS-R monitoring of soil moisture dynamics in areas of severe drought: example of Dahra in the Sahelian climatic zone (Senegal) GNSS-R监测严重干旱地区的土壤水分动态：以萨赫勒气候带的Dahra为例（塞内加尔）

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-12-27 DOI: 10.1080/22797254.2022.2156931

M. Ha, J. Darrozes, M. Llubes, M. Grippa, G. Ramillien, F. Frappart, F. Baup, Håkan Torbern Tagesson, E. Mougin, I. Guiro, L. Kergoat, H. Nguyen, L. Seoane, G. Dufrechou, P. Vu

引用次数: 1

Spatial-spectral hierarchical vision permutator for hyperspectral image classification 用于高光谱图像分类的空间光谱分层视觉置换器

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-12-08 DOI: 10.1080/22797254.2022.2153747

Lifan Ji, Yihao Shao, Jianjun Liu, Liang Xiao

引用次数: 0

Research on the application of big data visualization technology in urban road congestion 大数据可视化技术在城市道路拥堵中的应用研究

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-12-08 DOI: 10.1080/22797254.2022.2147448

Haitao Guo, Lunhui Xu

引用次数: 2

Satellite-derived land surface temperature spatial sharpening: A comprehensive review on current status and perspectives 卫星地表温度空间锐化:现状与展望综述

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-11-21 DOI: 10.1080/22797254.2022.2144764

M. K. Firozjaei, M. Kiavarz, S. K. Alavipanah

{"title":"Satellite-derived land surface temperature spatial sharpening: A comprehensive review on current status and perspectives","authors":"M. K. Firozjaei, M. Kiavarz, S. K. Alavipanah","doi":"10.1080/22797254.2022.2144764","DOIUrl":"https://doi.org/10.1080/22797254.2022.2144764","url":null,"abstract":"ABSTRACT The purpose of this study is to comprehensively review of Satellite-derived Land Surface Temperature Spatial Sharpening (SLSTSS) studies and provide appropriate solutions to error reduction in SLSTSS presses. Firstly, the initial search was done for the related keywords to SLSTSS, and 391 papers were found over the period 1985 to 2020. Secondly, to eliminate non-relevant papers, several criteria were applied and 207 out of 391 papers were selected for this review. Finally, the assembled database was used to extract important information. Perspectives for future studies can be (1) integrating the results obtained from different models and strategies based on decision level-fusion, (2) solving challenges of remained low-spatial pixel blocking and smoothing effects on sharpened LST image, (3) considering landscape, textural and climatic variables and anthropogenic heat flux in SLSTSS presses, (4) using LST obtained from unmanned aerial vehicles at the satellite overpass time to the SLSTSS results, (5) determining the optimal number of classes in conceptual approaches as well as the size of moving window and the segmentation scale of object-based window in local approaches to train and implement SLSTSS models, (6) and providing a physical approach based on energy balance equations in order for error reduction in SLSTSS presses.","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"55 1","pages":"644 - 664"},"PeriodicalIF":4.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43685850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Spectral-based regression model for destriping of abnormal pixel values in PRISMA hyperspectral image 基于光谱的PRISMA高光谱图像异常像素值的回归模型

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-11-20 DOI: 10.1080/22797254.2022.2141659

P. Sajadi, M. Gholamnia, S. Bonafoni, F. Pilla

{"title":"Spectral-based regression model for destriping of abnormal pixel values in PRISMA hyperspectral image","authors":"P. Sajadi, M. Gholamnia, S. Bonafoni, F. Pilla","doi":"10.1080/22797254.2022.2141659","DOIUrl":"https://doi.org/10.1080/22797254.2022.2141659","url":null,"abstract":"ABSTRACT Hyperspectral imageries are often degraded by systematic sensor-based errors known as “striping noises”. This study implements a spectral-based regression algorithm from highly correlated consecutive bands, i.e. left band, right band or both, to model and reconstruct the abnormal pixel values, stripe noises, in various bands of PRISMA (PRecursore IperSpettrale della Missione Applicativa) imagery. The modeling performance was evaluated based on the statistical difference between the reconstructed images’ pixel values (reflectance) and their corresponding original pixel values. Results referred to the model’s high accuracy in R 2, RMSE, rRMSE and skewness in most bands ). Furthermore, the results indicated that the combination of both bands had higher accuracy and pixels’ homogeneity preservation compared to single-band modeling. Our findings suggested that the algorithm significantly depends on the spectral similarities between neighboring bands so that the higher spectral similarities lead to the higher model performance and vice versa. Subsequently, the minimum model performance was observed in band 143 due to lower spectral similarity, lower spectral correlation and higher wavelength differences with its adjacent right band. Finally, the study suggests that alongside other methods, our algorithm may be used as a reliable, straightforward and accurate alternative for destriping different Earth observation satellite imageries. Limitations of the proposed approach are also discussed.","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"55 1","pages":"622 - 643"},"PeriodicalIF":4.0,"publicationDate":"2022-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45085053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiple-input multiple-output radar, ground-based MIMO SAR for ground deformation monitoring 多输入多输出雷达，用于地面变形监测的地基MIMO SAR

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-11-17 DOI: 10.1080/22797254.2022.2141660

F. Mugnai, D. Tarchi

{"title":"Multiple-input multiple-output radar, ground-based MIMO SAR for ground deformation monitoring","authors":"F. Mugnai, D. Tarchi","doi":"10.1080/22797254.2022.2141660","DOIUrl":"https://doi.org/10.1080/22797254.2022.2141660","url":null,"abstract":"ABSTRACT This study focuses on investigating the capabilities of a Multiple-input multiple-output RADAR. A Radar interferometer, based on an electronically scanned array in MIMO configuration (MIMO‐SAR), has been assessed for operational use in monitoring phenomena of geological interest, such as landslides unstable slopes. The system applies the very well‐known and proven Ground-Based Interferometric technique. It guarantees a very short refreshing time compared to traditional systems based on the mechanical movement of the radar transceiver on a rail or the mechanical steering of a real antenna. The system can monitor several phenomena having deformation rates too high to be correctly retrieved by traditional systems currently in use. Implementing a prototype termed MELISSA allowed the testing technique’s performances in two real case studies: a landslide and an unstable volcanic flank. The experimental results were compared with LISA, a well-known Ground-Based Interferometric Synthetic Aperture Radar (GBInSAR) interferometer. MELISSA allows for obtaining an excellent accuracy, better than 0.01 mm. The range and angular resolution are on the same order of magnitude as those obtained through LISA. However, the refreshing rate obtained from MELISSA, 0.01 s, guarantees a strong coherence even in challenging environmental scenarios as a flank of an active volcano.","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"55 1","pages":"604 - 621"},"PeriodicalIF":4.0,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44327991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Shoreline erosion due to anthropogenic pressure in Calabria (Italy) 卡拉布里亚（意大利）人为压力造成的海岸线侵蚀

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-11-03 DOI: 10.1080/22797254.2022.2140076

G. Foti, G. Barbaro, G. C. Barillà, P. Mancuso, P. Puntorieri

引用次数: 2

Satellite thermographies as an essential tool for the identification of cold air pools: an example from SE Spain 卫星热成像作为识别冷空气池的重要工具：以西班牙东南部为例

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-10-29 DOI: 10.1080/22797254.2022.2133744

David Espín Sánchez, J. Olcina Cantos, Carmelo Conesa García

{"title":"Satellite thermographies as an essential tool for the identification of cold air pools: an example from SE Spain","authors":"David Espín Sánchez, J. Olcina Cantos, Carmelo Conesa García","doi":"10.1080/22797254.2022.2133744","DOIUrl":"https://doi.org/10.1080/22797254.2022.2133744","url":null,"abstract":"ABSTRACT The processes involved in the formation of nocturnal temperature inversions (NTIs) are of great relevance throughout the year, notably influencing the surface distribution of minimum temperatures during nights of atmospheric stability. The low density of surface meteorological stations in the study area motivated the use of thermographies for the mapping and identification of cold air pools CAPs. Thermal distribution during stable nights leads to the formation of CAPs in valley areas and depressed areas, and in areas with warmer air (WAM) in orographically complex areas. The thermographies carried out with satellite products from AQUA and SUOMI-NPP (MODIS and VIIRS LST) represent the only tool capable of fully radiographing the territory under study, thus overcoming the limitations in the interpolation of minimum surface temperatures. The main objective of the research was, therefore, to value thermography as an important tool in the identification of CAPs. The products used were subjected to statistical validation with the surface temperatures recorded in meteorological observatories (R2 0.87/0.88 and Bias −1.2/-1.3) with a new objective of making thermal distribution maps in nocturnal stability processes …","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"55 1","pages":"586 - 603"},"PeriodicalIF":4.0,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47072564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Retrieval of land surface temperature from FY3D MERSI-II based on re-fitting Split Window Algorithm 基于重新拟合分割窗算法的FY3D MERSI-II地表温度反演

IF 4 4区地球科学

European Journal of Remote Sensing Pub Date : 2022-10-25 DOI: 10.1080/22797254.2022.2133016

Zhang Dejun, Yang Shiqi, S. Liang, Liu Xiaoran, Tang Shihao, Zhu Hao, Ye Qinyu, Zhang Xinyu

{"title":"Retrieval of land surface temperature from FY3D MERSI-II based on re-fitting Split Window Algorithm","authors":"Zhang Dejun, Yang Shiqi, S. Liang, Liu Xiaoran, Tang Shihao, Zhu Hao, Ye Qinyu, Zhang Xinyu","doi":"10.1080/22797254.2022.2133016","DOIUrl":"https://doi.org/10.1080/22797254.2022.2133016","url":null,"abstract":"ABSTRACT Medium Resolution Spectral Imager II (MERSI-II) is one of the core sensors mounted on the FengYun-3D (FY3D) satellite. Two adjacent 250 m long-wave thermal infrared (TIR) channels provide a considerable opportunity for retrieving Land Surface Temperature (LST) with high spatiotemporal resolution. In this paper, Thermodynamic Initial Guess Retrieval (TIGR) dataset and MODTRAN 4.0 model were used to re-fit the parameters of the Split-Window (SW) algorithm suitable for MERSI-II TIR channels, and then the daily 250 m resolution MERSI-II LST product was retrieved. The Radiance-based (R-based) method results showed that the bias value between simulated by MODTRAN4.0 and the input is 0.16 K, and the MAE value is 0.38 K. Inter-comparison method results showed that the MERSI-II LST and MODIS LST products were consistent in spatial distribution, but there were certain differences between MODIS LST and MERSI-II LST at different land cover types. T-based method results showed that R values between the site-observed LST and MERSI-II LST retrieved by SW algorithm exceeded 0.92, the bias value was between 3.6 K and 4.4 K, and the MAE value was between 2.6 K and 4.5 K. The above results indicating that the SW algorithm proposed in this study has good accuracy and applicability.","PeriodicalId":49077,"journal":{"name":"European Journal of Remote Sensing","volume":"55 1","pages":"1 - 18"},"PeriodicalIF":4.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41515962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2