National Remote Sensing Bulletin最新文献

{"title":"Spatial-temporal water area monitoring of the Miyun Reservoir using remote sensing imagery from 1984 to 2020","authors":"Changda Liu, Hairong Tang, L. Ji, Yongchao Zhao","doi":"10.11834/jrs.20220489","DOIUrl":"https://doi.org/10.11834/jrs.20220489","url":null,"abstract":"Miyun Reservoir has produced huge benefits in flood control, agricultural irrigation, power generation, aquaculture, tourism, and urban water supply. Accurately water mapping is of great significance to the ecological environment monitoring of the Miyun Reservoir and the management of the South-to-North Water Diversion Project. On the 60th anniversary of the completion of the Miyun Reservoir, we took the Miyun Reservoir as the study area and collected all the Landsat-5 and Landsat-8 remote sensing images from 1984 to 2020 for water mapping. Based on the spectral, topographical and temporal-spatial characteristics of water, we proposed an automated method for long-term researvoir mapping, which can solve the problems caused by cloud, shadow, ice and snow pixels. Moreover, it can also deal with 'the same objects with different spectra' and spectral mixed problems. The overall accuracy is as high as 98.2% for the case with no cloud or snow/ice cover. The landscape division index is introduced to analyze the morphological changes of Miyun Reservoir. Based on the mapping results, we analyzed the changes of Miyun Reservoir from 1984 to 2020 and the driving factors of them.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121971111","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":"Early identification and characteristics of potential landslides in the Bailong River Basin using InSAR technique","authors":"Yuanxi Li, Yi Zhang, Xiaojun Su, Fu-meng Zhao, Yi-hong Liang, Xing-min Meng, J. Jia","doi":"10.11834/JRS.20210094","DOIUrl":"https://doi.org/10.11834/JRS.20210094","url":null,"abstract":"The Bailong River Basin is located in the southeast of Gansu Province and situated at the intersection of the Qinghai-Tibet Plateau, the Loess Plateau, and the Sichuan Basin. Geohazards, such as landslides and debris flows, have high frequency and wide distribution due to the impact of rainfall, tectonic activity, and earthquakes. These phenomena pose a serious threat to the safety of life and property of the local people. Investigating a new method to detect potential landslide and study its characteristics is important to provide key supports for local disaster prevention and mitigation.In this study, an InSAR technique called Small Baseline Subset was selected to process 60 Sentinel-1A SAR images acquired from March 2018 to March 2019. Moreover, the study area was clipped into 8 blocks to improve the efficiency of data processing and minimize the errors caused by the complex terrain of the region.On the basis of the abovementioned method, the mean surface displacement rates ranging from -158 and 100 mm/year along the line-of-sight direction were detected during March 2018 and March 2019. A total of 114 potential landslides were investigated and identified in the Bailong River Basin based on optical image interpretation and field survey. Statistical analysis of their basic information shows that most of the potential landslides tend to develop in the S, SSW, and SSE-faced slope with a gradient of 20°-40°. The elevation difference of potential landslides is less than 150 m. The slope material is mostly composed of slope deposits and heavy weathered rocks, such as phyllite. The majority of potential landslides have an area less than 5×104 m2.Yahuokou landslide, which was investigated as a potential landslide with displacement rates > 38 mm/year, broke and ran into Min River from 19 July 2019. On the basis of the analysis of landslide pre-cursory deformation and geomorphology, the landslide was divided into three sections: source, propagation, and accumulation areas. The successful identification of potential landslide demonstrates the applicability and efficiency of InSAR technique in landslide investigation and identification. This research provides foundation and scientific support for landslide mapping and disaster prevention in Bailong River Basin. © 2021, Science Press. All right reserved.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133948922","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":"Extracting icebergs freeboard from the shadows in Landsat-8 panchromatic images","authors":"Zhenfu Guan, Yan Liu","doi":"10.5194/egusphere-egu2020-12810","DOIUrl":"https://doi.org/10.5194/egusphere-egu2020-12810","url":null,"abstract":"\u0000 <p><strong>Abstract:</strong>&#160;The iceberg freeboard is an important geometric parameter for measuring the thickness of the iceberg and then estimating its volume. Based on the fact that the iceberg can cast elongated shadow on the surface of sea ice in winter, this paper proposes a method to measure the iceberg freeboard using shadow length and the predefined or estimated solar elevation angle. Three Landsat-8 panchromatic images are selected to test our method, with center solar elevation angle of respectively 5.43&#176;, 7.49&#176;and 11.01&#176; on August 29, September 7, and 16 September in 2016. Shadow lengths of five isolated tabular icebergs are automatically extracted to calculate the freeboard height. For the accuracy assessment, we use the matching&#160;points at the different time as cross validation. The results show that the measurement error of shadow length is less than one pixel. When the sun elevation angle is lower than 11.01&#176;, the Root Mean Square Error (RMSE) of the iceberg freeboard from the panchromatic 15 m image is less than 2.0 m, and the Mean Absolute Error (MAE) is less than 1.5 m. Such experiment shows that: under the angle of low solar elevation in winter, the landsat-8 panchromatic 15 m image can be used for high-precision measurement of the iceberg freeboard, and has the potential to measure the Antarctic iceberg freeboard in large scale.</p><p><strong>Key </strong><strong>words:</strong>&#160;Antarctic, icebergs, freeboard, shadow altimetry, Landsat-8</p><p>&#160;</p>\u0000","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129864369","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":"Semantic segmentation of remote sensing image based on deep fusion networks and conditional random field","authors":"Chun-lei Xiao, Yu Li, Hongqun Zhang, Jun Chen","doi":"10.11834/JRS.20208298","DOIUrl":"https://doi.org/10.11834/JRS.20208298","url":null,"abstract":"Image semantic segmentation refers to segmenting an image into several groups of pixel regions with different specific semantic meanings and identifying the categories of each region. In recent years, the common semantic segmentation methods that are based on Convolutional Neural Networks(CNN) have realised the pixel-to-pixel image semantic segmentation. They can avoid the problems of artificial design and selection of features in traditional image semantic segmentation methods. As a result of the pooling operation and lack of context information, the detailed information of images is neglected, the precision of the final image semantic segmentation result is low and the segmentation edge is inaccurate. Therefore, this study proposes a semantic segmentation method for remote sensing image on the basis of Deep Fusion Networks(DFN) combined with a conditional random field model.The method initially builds a DFN model in a Fully Convolutional Network(FCN) framework with a deconvolutional fusion structure.On the one hand, the multiscale features can be extracted through the deep networks, which can avoid the artificial design and selection of features to improve the generalisation ability of the model. On the other hand, the multiscale information is used in the model with the help of the deconvolutional fusion structure. The processing accuracy of the model is also improved by fusing the shallow detail information and deep semantic information. Fundamentally, the fully connected conditional random field is introduced to supplement the spatial context information towards precisely locating the boundary and obtaining final semantic segmentation results.From this study, we can draw the following conclusions:(1)With the increase in the depth of the fusion layer, detailed information becomes abundant, the semantic segmentation results become refined and the edge contour becomes close to the label image;(2) The fully connected conditional random field model synthesises the global and local information of the remote sensing image and further improves the efficiency and accuracy of the final semantic segmentation results.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132358188","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":"Analysis and correction of the difference between the ascending and descending orbits of the FY-3C microwave imager","authors":"M. Zhang, Q. Lu, G. Songyan, X. Hu, S. Wu","doi":"10.11834/jrs.20198235","DOIUrl":"https://doi.org/10.11834/jrs.20198235","url":null,"abstract":"The FY-3 Microwave Imager (MWRI) can provide important initial field for numerical weather prediction (NWP), and then improve its accuracy. In order to use the simulated brightness temperature as a reference for the MWRI observations, the basic atmospheric parameters of T639 was transformed into radiance space using a radiative transfer model known as RTTOV. And the data were screened for cloud before analysing O-B(observation minus simulation),using only data over ocean(since the estimates of surface emissivity and skin temperature tend to be more accurate over ocean) between 60 ◦ N and 60 ◦ S (to avoid including data over sea-ice), the FY-3C O-B show a clear bias difference between the ascending and descending orbits, the magnitude of this ascending –descending bias is approximately 2 K for all channels, restricting its operational application in NWP data assimilation systems. By analyzing the calibration equation, we found that the hot load and cold sky reflector is not a perfect reflector due to surface roughness in the reflector coating, the reflector is heated periodically by incident solar radiation and emits a variable radiation with space and time, then caused this ascending –descending bias. An estimate of the reflector emissivity in the prelaunch phase was not explored, so a methodology is developed to assess the antenna emission using the principle that the difference between the O-B of ascending and descending orbits to be minimum, and we find that the emissivity of the hot load and cold sky reflector is estimated to be about 0.03. The results show that bias difference between the ascending and descending orbits reduced from 2K to less than 0.5K, indicated that the research direction to estimate the emissivity is feasible and provided the condition for direct assimilation of MWRI radiance data.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122201133","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":"The lunar surface temperature real-time model","authors":"Xuan Feng, Q. Guo","doi":"10.11834/JRS.20177353","DOIUrl":"https://doi.org/10.11834/JRS.20177353","url":null,"abstract":"国外相关研究结果表明，月球表面的光度学稳定度可达10–8/年，是自由空间内稳定的辐射参考源，可用于星载遥感仪器的外定标。与基于地球表面目标观测的在轨定标方法相比，最大的优势在于在轨月球观测信息中没有大气辐射的贡献，大气窗区和非窗区处理方式几乎一致。同时，作为整体发射率稳定的自然天体，月球表面的温度范围在90—390 K之间，完全满足通常对地观测探测的动态范围要求。月球复杂的表面辐射特性，是制约对月定标技术发展的主要原因之一。月球表面辐射特性与月表发射率、月表温度密切相关。月表温度分布是月球重要的热物理参数之一，是月球表面热演化模型的必要边界条件，同时也是研究月球表面发射谱的关键参数。获取月表温度的方法大致可以分为两大类：直接测量温度数据和建立物理模型预测。直接测量温度数据又可以细分为下面3种方法：地基遥感测量、绕月探测卫星遥感测量、登陆月球直接测量表面温度。地基观测的空间分辨率很低，只能反映出一大片区域的平均温度；另外两种方法花费巨大，且不能对全月的温度变化进行长期的观测。月表温度物理模型基于热传导理论，结合月壤样本的热物理参数，将月球当成半无限固体，根据Stefan-Boltzmann定律和能量守恒定律，得到月表物理温度和太阳辐照度、月球内部热流的关系。太阳辐照度是月表温度分布的最重要的因素。本文以天文计算为基础，准确描述月表有效太阳辐照度与太阳常数、太阳辐射入射角以及日月距离之间的关系，建立一个可以计算任意时刻、任意经纬度坐标点的月表温度模型，从而有助于准确描述月表辐射特性。与风云二号G星的观测结果对比，该模型可以准确描述月相的变化。阿波罗15号首次开展了一系列探索月球的科学试验，其中在登月点附近开展的月表热流试验是ALSEP(Apollo Lunar Surface Experiments Package)的重要组成部分。月表热流试验提供了登月点附近长时间的月表温度数据，通过与阿波罗15号实测数据进行对比，当太阳高度角大于0°时，该模型可以准确描述月球表面的温度变化；当太阳高度角在一定范围内时，模型的温度误差在1 K以内。","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128076614","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":"Retrieval of mineral abundances of delta region in Eberswalde, Mars","authors":"Xiongwei Wu, Xi-zhen Zhang, Honglei Lin","doi":"10.5194/ISPRS-ARCHIVES-XLII-3-W1-171-2017","DOIUrl":"https://doi.org/10.5194/ISPRS-ARCHIVES-XLII-3-W1-171-2017","url":null,"abstract":"Abstract. Eberswalde Crater, a hotspot of Mars exploration, possesses an unambiguous hydrological system. However, little research has been performed on the large-scale mineral abundances retrieval in this region. Hence, we employed hyperspectral unmixing technology to quantitatively retrieve mineral abundances of the delta region in Eberswalde. In this paper, the single-scattering albedos were calculated by the Hapke bidirectional reflectance function from Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) data (FRT000060DD) and CRISM spectral library respectively, and a sparse unmixing algorithm was adopted to quantitatively retrieve mineral abundances. The abundance maps show that there are six kinds of minerals (pyroxene, olivine, plagioclase, siderite, diaspore, and tremolite). By comparing minerals spectra obtained from images with corresponding spectra in spectral library, we found the similar trend in both curves. Besides, the mineral abundance maps derived in this study agree well spatially with CRISM parameter maps. From the perspective of mineralogy, the instability of pyroxene and olivine indicates the area in which they distribute is close to provenance, and the original provenance is ultrabasic rock (e.g. peridotite) and basic rock (e.g. gabbro), respectively. And minerals, existing in the area of alluvial fan, also distribute in the outside of alluvial fan, which might be caused by fluid transportation.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128829889","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":"Research on Ecological Environment Change of Middle and Western Inner-Mongolia Region Using RS and GIS","authors":"Liu Zhen-hua","doi":"10.11834/jrs.20020212","DOIUrl":"https://doi.org/10.11834/jrs.20020212","url":null,"abstract":"The ecosystem of semi-arid region, the neighboring zone of agriculture and grazing area in Inner Mongolia is very sensitive and fragile. It is urgently demanded to assess the status of regional ecological environment quality degradation and o find out potential environmental degradation area.In this paper the vegetation, soil brightness, moisture and heat indices are extracted and evaluated from multi-band and multi-time TM and MSS remote sensing data to describe ecosystem status. An ecological environment quality evaluation model is built from these indices, climate data (air temperature, precipitation, evaporation and relative moisture) and other geographical auxiliary information (geomorphologic types, terrain elevation and land use information, etc.), on the support of GIS. The ecological environment change during 2 decades (from 1976,1987 to 1996)of middle and western Inner-Mongolia region is evaluated using this model. The ecological environment quality degradation of this region is analyzed from the aspects of average regional ecological environment quality index change, the area change of each ecological environment quality index, and from sample band analysis. Finally, this paper also analyzes the change of climate factors and the effect of these changes on ecological environment quality change quantitatively.Through correlation analysis of ecological environment quality change and climate factor change, this paper concludes that the climate changes are the major reason that leads to ecological environment degradation. By calculation of the correlation between ecological environment quality change and change of precipitation, evaporation and moisture, which is the combination of the former two factors, this paper puts forward that the major climate factor that affects ecological environment changes in semi-arid region is moisture. During the 20 years, the effect of human behavior increases a lot. Meanwhile this research also proves that the methodology used in this paper is effective.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129599136","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":"Land Use/Cover Change Detection with Change Vector Analysis （CVA）: Change Magnitude Threshold Determination","authors":"Pei Shi, Chen Jin, H. Yang","doi":"10.11834/jrs.20010404","DOIUrl":"https://doi.org/10.11834/jrs.20010404","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116630899","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":"编者的话","authors":"谷铣之","doi":"10.11834/jrs.1991025","DOIUrl":"https://doi.org/10.11834/jrs.1991025","url":null,"abstract":"","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127837470","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}