首页期刊导航|Journal of Applied Remote Sensing
期刊信息/Journal information
Journal of Applied Remote Sensing
SPIE
Journal of Applied Remote Sensing

SPIE

Journal of Applied Remote Sensing/Journal Journal of Applied Remote Sensing
正式出版
收录年代

    Special Section Guest Editorial: Coastal Zone Remote Sensing for Environmental Sustainability

    Chen, ShuisenNainarpandian, ChandrasekarAl-Quraishi, Ayad M. Fadhil
    1页
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers

    Model functions for retrieving sea surface wind speed with wide-swath imaging altimeter

    Wang, DanKong, XiaojuanZhang, Zhe
    10页
    查看更多>>摘要：Using satellite remote sensing technology to observe sea surface wind fields has become an important instrument. The successful launch of Tiangong-2, the future Surface Water and Ocean Topography (SWOT) mission, and demonstrating GaoFen Project provides the future understanding for the generation of new wide-swath imaging altimeter. The constructed data sets and validated data sets of the model function were obtained by combining the observable conditions of imaging altimeter with the theoretical model of sea surface back-scattering coefficient. A model function for wind speed retrieval at incidence angles from 1 deg to 7 deg and from 7 deg to 11 deg was proposed, which is suitable for wide-swath imaging altimeter, model coefficients were calculated using the constructed data sets, model functions were validated using the validated data sets. The validated results of model function show that the root-mean-squared error (RMSE) ranged from 0.005 to 0.72 m/s. Wind speed was retrieved with China France Oceanography Satellite (CFOSAT) Surface Waves Investigation and Monitoring instrument (SWIM) L2 data for incidence angles from 3 deg to 10 deg with 0.5 interval, and wind speed was validated with European Centre for Medium-Range Weather Forecasts (ECMWF) data. The results of wind speed validation show that the average of RMSE is 1.6 m/s. Therefore, the wind speed retrieval was validated with the wind speed from ECMWF, which showed good coincidence. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers

    High-resolution representations and multistage region-based network for ship detection and segmentation from optical remote sensing images

    Huang, BoHe, BoyongWu, LiaoniGuo, Zhiming...
    18页
    查看更多>>摘要：Ship detection and segmentation in optical remote sensing (ORS) images is a current concern actively addressed by the academic community owing to its vast applications. Most present methods only detect the location of the ship but do not segment it at the pixel level. Considering the complex background of ORS images, identifying ships from interferences, such as clouds, waves, and some land architectures similar to ships, proves to be difficult. To address this issue, we propose a high-resolution representation and multistage region-based network (HR-MSRN) for ship detection and segmentation from ORS images. HR-MSRN mainly consists of three parts: the high-resolution feature pyramid network (HRFPN), region proposal network (RPN), and multistage detection and segmentation network (MSDSN). First, HRFPN is built as a backbone network to extract and fuse multilevel image feature maps. Second, ship candidate boxes are generated by defining numerous anchors through RPN. Third, using the idea of a cascade mask R-CNN as the reference method, the MSDSN is proposed to obtain the ship localization and mask shape. We utilize the proposed framework to evaluate an Airbus-ship dataset, and the experiments indicate that (1) HRFPN provides better feature representation ability than the ResNet-FPN when maintaining the same detection framework, especially for small ships; (2) the direct flow between mask branches refines the mask information, and the semantic segmentation branch enhances context information, which indicates that MSDSN is effective and promotes further improvements in ship detection and segmentation from ORS images; (3) in comparison to other region-based methods, HR-MSRN obtains superior performance of ship detection and segmentation in the ORS imagery. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers

    Temporal and spatial characteristics of harmful algal blooms in the offshore waters, China during 1990 to 2019

    He, XinyueChen, ChaoZhang, ZiliHu, Haiyan...
    14页
    查看更多>>摘要：The frequent occurrence of harmful algal blooms (HABs) in China's coastal areas has caused major losses to the economy and society and has seriously threatened the coastal marine environment. Based on 30 years of relevant statistical data and satellite remote sensing data from 1990 to 2019, we analyze spatial-temporal distribution of HABs in China's coastal areas. Our results show that 1557 HABs occurred in China's coastal areas from 1990 to 2019: (1) 961 HABs occurred in offshore China from 2001 to 2012, a period with many HABs, accounting for 62.00% of the HABs of the study period. The numbers of HABs (1998 to 2019) in the Bohai Sea, Yellow Sea, East China Sea, and South China Sea were 198, 133, 813, and 249, respectively. 536 HABs occurred from April to September, accounting for 88.00% of the total occurred from 2009 to 2019. (2) Spatially, based on the kernel density estimation, HABs were mainly concentrated in Bohai Bay, the Yangtze and Pearl River deltas, and other regions with relatively dense populations and relatively developed economies, especially in Zhejiang Province and in the Yangtze River Estuary. Imagery-derived information on the build-up of HABs provides coastal communities with objective information to plan and deal with the adverse environmental and health effects associated with an HAB. (C) 2021 Society of Photo Optical Instrumentation Engineers (SPIE)
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers

    Ecological impact assessment and classification management methods for high-intensity development island: a case of Haitan Island

    Fu, Shi-FengWu, Hai-YanLai, MinWu, Jian...
    13页
    查看更多>>摘要：This paper proposes the design of an ecological classification management method based on ecological sensitivity and disturbance of road network construction that reflects the characteristics of an island ecosystem using geographical information system and remote sensing technologies. This method evaluates the ecological impacts during the high-intensity development of the island, classifies different ecological management types, and shows the key areas and management strategies for improving the ecological and environmental quality of the island and implementing ecological restoration. The proposed method is applied to Haitan Island, which has been in a period of high-intensity development since 2012. The results show that (1) the ecological sensitivity evaluation method of the island established in this study fully considers the key ecological issues of an island ecosystem. The evaluation results of highly and moderately sensitive areas cover surface water and its conservation area, woodland, and beach, objectively reflecting the relative spatial heterogeneity of ecological sensitivity within Haitan Island. (2) The distribution of high disturbance areas of road network construction is in line with the overall planning pattern of Pingtan Comprehensive Experimental Zone, which matched with the objectivity reality. The high and moderate disturbance areas of the Haitan Island increased by 6.80 and 27.60 km(2), respectively, in the last 10 years, and the no disturbance area decreased by 73.70 km(2). The impact on highly ecologically sensitive areas is little, and the key ecological areas are strictly protected in the high-intensity development activities. (3) The areas of ecological protection priority area, ecological restoration priority area, general control zone, and ecological reconstruction area on Haitan Island are 92.74, 9.27, 113.57, and 34.42 km(2), respectively. The ecological classification management should be implemented for different areas, and targeted ecological protection and restoration strategies should be adopted, which is conducive to improving the overall ecological environment quality of Haitan Island. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers

    Construction and application of quality evaluation index system for remote-sensing image fusion

    Chen, ChaoWang, LiyanZhang, ZiliLu, Chang...
    15页
    查看更多>>摘要：To objectively and justly compare the results of remote-sensing image fusion, evaluate the fusion algorithm, and optimize the fusion process, a quality evaluation index system is constructed by considering both qualitative and quantitative evaluations. The quantitative evaluation indexes are divided into three types based on the analysis of evaluation methods of the fusion quality of primary remote-sensing images. The applicability and effectiveness of six pixel-level fusion methods of optical remote-sensing image fusion were verified based on the constructed quality evaluation index system used to evaluate those methods in offshore and archipelagic areas. The experimental results indicate that the constructed quality evaluation index system evaluates the fusion algorithm objectively, comprehensively, and accurately. The intensity-hue-saturation transformation-based method distorts spectral features of the original image and easily causes spectrum degradation, whereas the wavelet transformation-based method has an advantage in the preservation of spectral features but efficiently produces blockiness and image penumbrae. The principal component analysis transformation-based method preserves more detailed textures and structural characteristics of original images but loses some physical properties. The Brovey transformation-based method results in spectral distortion, the high pass filter-based method shows a clear boundary of surface features after image fusion, and the Gram-Schmidt-based method shows a high ability of spectral information retention, but the latter performs poorly in the preservation of spatial information. The proposed quality evaluation index system of remote-sensing image fusion can be used as the objective effect evaluation criteria for remote-sensing image fusion and offers a reference for future applications of fusion results. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers

    Statistical methods to estimate the accuracy of diachronic low-resolution satellite instruments for shoreline monitoring

    Apostolopoulos, Dionysios N.Nikolakopoulos, Konstantinos G.
    24页
    查看更多>>摘要：Our study establishes general statistical methods for estimating the accuracy of diachronic low-resolution satellite instruments for shoreline monitoring using the most common satellite datasets such as Landsat and Sentinel-2. The study coast is extended from Cape Araxos to Rio Port, in the Gulf of Patras in Northwestern Peloponnese, Greece. Landsat archival data from 1996, 2008, 2016, and 2018 (30 m spatial resolution) covering the entire study area were used consisting of images acquired by the respective instruments due the time such as the Thematic Mapper (TM), the Enhanced Thematic Mapper Plus (ETM+), and the Operational Land Imager (OLI). Moreover, for the years of 2016 and 2018, Sentinel-2 imagery with 10 m spatial resolution was used. High-resolution datasets of the respective years were used as reference for the calculations. "Generate near table" and "mean center," two simple and fast statistical tools of the ArcMap v5 toolbox, were applied, and a comparison due to the relative results of shoreline change envelope (SCE) rates was performed. It is the first time that such tools are used to evaluate the accuracy of shorelines derived from low-resolution images. It was proved that the generate near table tool produces very similar results to the SCE tool of the Digital Shoreline Analysis System. There is a strong correlation between the two tools strongly dependent on the dataset being used (Landsat or Sentinel). The analysis of the Sentinel-2 datasets showed that the specific sensor can discriminate the waterline with better accuracy than all Landsat instruments and could be useful to relative studies especially when the procedure follows the subpixel level algorithms. Finally, the results showed that the upgrades of the Landsat instruments from TM to ETM and to OLI did not improve the accuracy of land-water delineation. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers

    Developing a remote sensing-based ecological index based on improved biophysical features

    Zhang, YaqiuJiang, Fang
    15页
    查看更多>>摘要：More and more human activities have caused varying degrees of interference with the ecosystem. As an effective quantitative means of eco-environmental quality, remote sensing has been widely used. The remote sensing ecological index (RSEI) is the most popular ecological evaluation model at present. However, the model is affected by the direction of the eigenvector, and two completely opposite results will appear in the calculation of the model. In the past, researchers often manually judged whether the two results met the expectations according to a priori knowledge to select the appropriate calculation results. With the development of remote sensing big data, applying this artificial discrimination method to eco-environmental monitoring under the background of big data is difficult. Therefore, we test the evolution of the RSEI model eigenvector in time series through large samples. It is found that the results of the two models are completely opposite in space. For any model, changing the order of input bands may result in RSEI also being the opposite. Through the large sample test in different time periods, the eigen-vectors of each ecological factor affect the direction of the corresponding RSEI. Therefore, we propose an improved model to judge the characteristic contribution direction of the first principal component by selecting the wet factor, which is less affected by seasonal changes. The model direction can be automatically modified without the intervention of researchers according to subjective experience. The improved model can adapt different periods of RSEI calculation. At the same time, no matter how the input band order changes, the final result direction is correct. The improved model makes it possible to monitor and calculate the eco-environmental quality of remote sensing big data and provides a solid scientific basis for the development of the model through research on the mechanism of the model. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers

    Groundwater potential assessment mapping from GaoFen-6 satellite data by a deep network model

    Zhao, XiaoningWang, DaqingXu, HaoliShi, Yue...
    15页
    查看更多>>摘要：Groundwater is an important fresh water resource, which is very important for human survival. We analyzed groundwater potential assessment (GPA) by using back propagation (BP) neural network model and analytic hierarchy process (AHP) model in remote sensing and geographic information system in the north of Zhuhai City, Guangdong Province, China. We have used a variety of factors related to groundwater. These models were based on the relationship between groundwater supply potential and hydrogeological factors. GaoFen-6 remote sensing image was first collected, processed and got lithology, relief, slope, flow accumulation (FA), land temperature, soil humidity and vegetation coverage. Water yield data were collected from 36 well locations. We determined the weight of each index by using BP neural network and AHP. The results were fitted with the actual well water yield. The R-2 of BP neural network and AHP models for GPA were 0.89125 and 0.85946, respectively. The results show that BP neural network model can eliminate the influence of subjective factors on the results. It is BP neural network model that more suitable for the development and utilization of groundwater resources than AHP model. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers

    Approach for estimation of ecosystem services value using multitemporal remote sensing images

    Wang, LiyanChen, ChaoZhang, ZiliGan, Wei...
    16页
    查看更多>>摘要：Ecosystem services are the conditions in which human existence can be maintained and satisfied by natural ecosystems and their constituent species. Meanwhile, island cities have limited natural resources and fragile environments. So, more attention should be paid to the evaluation of their ecosystem service value (ESV). We propose an approach for estimation of ecosystem services value using land-use and land-cover change (LUCC) information obtained by multitemporal remote sensing images based on the method of equivalent value factor. The results in Zhoushan Island, China, from 1984 to 2020 showed that (1) land use and land cover significantly changed, with all LUCC decreasing in general except for the categories of construction land and water bodies. The total area increased by 67.96 km(2), and an average annual increase rate of 0.37%, which was related to the land reclamation measures taken by people in the Zhoushan Islands. (2) Changes in ESV were significant during the last 37 years. The total annual ESV in the study area decreased from 937.98 million Yuan in 1984 to 899.13 million Yuan in 2020, with a decrease of 4.14%. It is mostly attributable to the 5.51% decrease of forest land, 128.69% growth of water bodies, 28.64% decrease of mudflats, 3.37% decrease of cropland/grassland, and 68.38% decrease of bare land. (3) The sensitivity index of land-use types is <1, which means that the ESV is inelastic to adjusted coefficient of ESV and the research results are reliable. We can provide theoretical methods and a basis for decision-making in support of realizing regional ecological security and the sustainable use of land resources. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)
      原文链接:
    • NSTL
    • Spie-Soc Photo-Optical Instrumentation Engineers