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- Author:
- Wang, Fang; Bamber, Jonathan L.; Yang, Shuangbao; Cheng, Xiao; Liu, Shubin; Zhang, Youzhi; Chi, Yunping
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8418-8431
- ISSN:
- 1366-5901
- Subject:
- altimeters; altimetry; dielectric properties; ice; remote sensing; roughness; synthetic aperture radar; topography; Antarctica
- Abstract:
- ... The new synthetic aperture radar interferometric (SARIn) measurement mode of CryoSat-2 provides better performance on the rough topography of the ice sheet margins than that of conventional radar altimetry. We assess the accuracy of CryoSat-2 SARIn mode data from Baseline C product of the European Space Agency (ESA), through comparison with two airborne laser altimeters on NASA IceBridge missions. ...
- DOI:
- 10.1080/01431161.2019.1610985
-
https://dx.doi.org/10.1080/01431161.2019.1610985
- Author:
- Sadeghinaeenifard, Fariba; Dong, Pinliang
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8432-8449
- ISSN:
- 1366-5901
- Subject:
- evergreen trees; leaves; lidar; remote sensing; tree crown
- Abstract:
- ... Previous studies demonstrate the effectiveness of the Euclidean distance shape descriptor for characterizing individual tree crowns derived from Light Detection and Ranging (LiDAR) data. This paper evaluates the effectiveness of the longitude–latitude shape descriptor for tree crown shape characterization in comparison with the Euclidean distance descriptor using LiDAR data for 43 individual tree ...
- DOI:
- 10.1080/01431161.2019.1610986
-
https://dx.doi.org/10.1080/01431161.2019.1610986
- Author:
- Wang, Luyao; Fan, Hong; Wang, Yankun
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8566-8588
- ISSN:
- 1366-5901
- Subject:
- anthropogenic activities; cities; gross domestic product; image analysis; land use planning; models; prices; regression analysis; remote sensing; residential housing; socioeconomic factors; urban areas; urbanization; wastes; China
- Abstract:
- ... As an informative proxy measure for a range of socio-economic variables, satellite-derived night-time light (NTL) data have been widely used to investigate the diverse anthropogenic activities and reveal urbanization development. Due to the rapid increase of Chinese urbanization rate, from 25.3% in 1987 to 58.5% in 2017, and ‘crazy expansion’ of city space, the sick phenomenon – ‘Ghost Town’ – has ...
- DOI:
- 10.1080/01431161.2019.1615655
-
https://dx.doi.org/10.1080/01431161.2019.1615655
- Author:
- Ma, Ziqiang; He, Kang; Tan, Xiao; Liu, Yong; Lu, Hanyu; Shi, Zhou
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8465-8483
- ISSN:
- 1366-5901
- Subject:
- hydrologic cycle; remote sensing; China
- Abstract:
- ... Precipitation plays vital roles in the worldwide hydrological cycles. Gridded precipitation estimates with finer spatio-temporal resolutions are critical in various application fields. In this study, we focused on obtaining downscaled precipitation estimates (approximately1 km) at daily scale over the Tibetan Plateau (TP), which was considered as a great challenge in previous downscaling studies. ...
- DOI:
- 10.1080/01431161.2019.1612118
-
https://dx.doi.org/10.1080/01431161.2019.1612118
- Author:
- Lin, Xinyu; Qiu, Yun; Cha, Jing; Guo, Xiaogang
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8547-8565
- ISSN:
- 1366-5901
- Subject:
- algorithms; coasts; data collection; information processing; rain; remote sensing; salinity; satellites; seasonal variation; Bay of Bengal; Indonesia
- Abstract:
- ... This study validates three Aquarius sea surface salinity (SSS) Level 2 products against Argo salinity in the Bay of Bengal (BoB) for the period 26 August 2011 through 30 April 2015. The Aquarius SSS products used here include the standard product processed by the Aquarius Data Processing System (ADPS) and two data sets from the Jet Propulsion Laboratory (JPL): the Combined Active-Passive algorithm ...
- DOI:
- 10.1080/01431161.2019.1615654
-
https://dx.doi.org/10.1080/01431161.2019.1615654
- Author:
- Saboori, Mojtaba; Asghar Torahi, Ali; Reza Riyahi Bakhtyari, Hamid
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8608-8634
- ISSN:
- 1366-5901
- Subject:
- algorithms; altitude; bitumen; land use; neural networks; panchromatic imagery; regression analysis; satellites; spectral analysis; texture; vegetation
- Abstract:
- ... High spatial resolution images have been increasingly used for urban land-use classification, but high spectral variations within same land use, the spectral confusion among different land uses, and the shadow problem often lead to poor classification performance of the traditional per-pixel classification methods. Main objectives of this paper were to extract phenomena with different altitudes wi ...
- DOI:
- 10.1080/01431161.2019.1620371
-
https://dx.doi.org/10.1080/01431161.2019.1620371
- Author:
- Zhao, Huizhen; Liu, Fuxian; Zhang, Han; Liang, Zhibing
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8506-8527
- ISSN:
- 1366-5901
- Subject:
- aerial photography; classification; data collection; filters; image analysis; learning; models; principal component analysis; remote sensing
- Abstract:
- ... Deep convolutional neural network (CNN) transfer has recently shown strong performance in scene classification of high-resolution remote-sensing images. However, the majority of transfer learning solutions are categorized as homogeneous transfer learning, which ignores differences between target and source domains. In this paper, we propose a heterogeneous model to transfer CNNs to remote-sensing ...
- DOI:
- 10.1080/01431161.2019.1615652
-
https://dx.doi.org/10.1080/01431161.2019.1615652
- Author:
- Gholami Baghi, Naghmeh; Oldeland, Jens
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8223-8235
- ISSN:
- 1366-5901
- Subject:
- aboveground biomass; arid lands; models; moderate resolution imaging spectroradiometer; normalized difference vegetation index; prediction; rangelands; regression analysis; remote sensing; satellites; soil; vegetation cover; Iran
- Abstract:
- ... Satellite remote sensing has greatly facilitated the assessment of aboveground biomass in rangelands. Soil-adjusted vegetation indices have been developed to provide better predictions of aboveground biomass, especially for dryland regions. Semi-arid rangelands often complicate a remote sensing based assessment of aboveground biomass due to bright reflecting soils combined with sparse vegetation c ...
- DOI:
- 10.1080/01431161.2019.1606958
-
https://dx.doi.org/10.1080/01431161.2019.1606958
- Author:
- Kong, Wenyuan; Cheng, Jingyi; Liu, Xin; Zhang, Fan; Fei, Teng
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8528-8546
- ISSN:
- 1366-5901
- Subject:
- anthropogenic activities; buildings; data collection; geometry; highways; image analysis; light; orthophotography; population density; regression analysis; remote sensing; satellites; spatial data; unmanned aerial vehicles; urban areas; urban population
- Abstract:
- ... In contrast to daytime remote sensing used for observing the Earth, night-time light remote sensing with satellites primarily assesses human activity using urban parameters such as building lights or lighted highways to help determine population density and other habitation characteristics. One limitation to conventional night-time remote sensing is that light emitted from high-rise buildings, for ...
- DOI:
- 10.1080/01431161.2019.1615653
-
https://dx.doi.org/10.1080/01431161.2019.1615653
- Author:
- Deng, Haijun; Chen, Yaning; Li, Qihu; Lin, Guangfa
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8342-8358
- ISSN:
- 1366-5901
- Subject:
- climate; climate change; data collection; freshwater; glaciers; mountains; remote sensing; seasonal variation; shrinkage; snowpack; spatial variation; temperature; water resources; water storage; Central Asia
- Abstract:
- ... The Tianshan Mountains region in Central Asia is covered with a large mass of glaciers and seasonal snow cover. This region supplies the main freshwater resources for Central Asia but has been severely affected by climate change over the past decades. In this study, we use the Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS) datasets to analyze the s ...
- DOI:
- 10.1080/01431161.2019.1608392
-
https://dx.doi.org/10.1080/01431161.2019.1608392
- Author:
- Fei, Rongrong; Zhang, Jiang-She; Liu, Junmin; Du, Fang; Chang, Peiju; Hu, Junying
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8395-8417
- ISSN:
- 1366-5901
- Subject:
- data collection; geometry; models; multispectral imagery; remote sensing
- Abstract:
- ... Pansharpening with sparse representation (SR) and details injection (ID) can both produce visually and quantitatively pleasing images. The former constructs pansharpened image by combining the dictionary and estimated sparse coefficients while the later by sharpening the multispectral bands through adding the proper spatial details from panchromatic (Pan) image. The combination of these two method ...
- DOI:
- 10.1080/01431161.2019.1610984
-
https://dx.doi.org/10.1080/01431161.2019.1610984
- Author:
- Anderson, John M. M.; Ode, Oludotun; Ndoye, Mandoye; Mair, Bernard
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8298-8321
- ISSN:
- 1366-5901
- Subject:
- algorithms; electromagnetic radiation; ground-penetrating radar; probability distribution; remote sensing
- Abstract:
- ... In this article, we develop an iterative maximum a posteriori (MAP) estimation algorithm for reconstructing sub-surface images from ground penetrating radar (GPR) data. Note, the larger goal of our research is to use the resulting GPR images, along with appropriate detection algorithms, to identify landmines and improvised explosive devices. A typical scene-of-interest is expected to contain only ...
- DOI:
- 10.1080/01431161.2019.1608385
-
https://dx.doi.org/10.1080/01431161.2019.1608385
- Author:
- Ahmadi, Seyed Ali; Ghorbanian, Arsalan; Mohammadzadeh, Ali
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8379-8394
- ISSN:
- 1366-5901
- Subject:
- equipment; monitoring; remote sensing; satellites; space and time; traffic; urban areas
- Abstract:
- ... Satellite remote sensing is undergoing a revolution in terms of sensors and temporal coverage. The possibility of acquiring earth’s surface video from space provides an opportunity to investigate broader applications of remote sensing. High-resolution spaceborne videos can become a vital factor in earth observation. Temporally continuous tracking of moving objects, i.e. vehicles, vessels, or even ...
- DOI:
- 10.1080/01431161.2019.1610983
-
https://dx.doi.org/10.1080/01431161.2019.1610983
- Author:
- Santos, Erone Ghizoni Dos; Shimabukuro, Yosio Edemir; Mendes De Moura, Yhasmin; Gonçalves, Fabio Guimarães; Jorge, Anderson; Gasparini, Kaio Alan; Arai, Egidio; Duarte, Valdete; Ometto, Jean Pierre
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8635-8645
- ISSN:
- 1366-5901
- Subject:
- Landsat; aboveground biomass; carbon; ecosystems; emissions; lidar; logging; remote sensing; tropical forests; Amazonia; Brazil
- Abstract:
- ... Forest degradation from either natural or anthropogenic drivers involves processes that change the capacity of the ecosystem to provide services. In Brazil, estimates of carbon emissions do not currently take into account emissions from forest degradation caused by fire or by selective logging. Here, we present a methodology to estimate aboveground biomass in forest degradedareas, that can be acco ...
- DOI:
- 10.1080/2150704X.2019.1619955
-
https://dx.doi.org/10.1080/2150704X.2019.1619955
- Author:
- Ahmadi, Seyyed Ali; Mehrshad, Nasser; Razavi, Seyyed Mohammad
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8236-8269
- ISSN:
- 1366-5901
- Subject:
- algorithms; artificial intelligence; data collection; hyperspectral imagery; quantitative analysis; remote sensing
- Abstract:
- ... Feature extraction (FE) methods play a central role in the classification of hyperspectral images (HSIs). However, all traditional FE methods work in original feature space (OFS), OFS may suffer from noise, outliers and poorly discriminative features. This paper presents a feature space enriching technique to address the problems of noise, outliers and poorly discriminative features which may exis ...
- DOI:
- 10.1080/01431161.2019.1607980
-
https://dx.doi.org/10.1080/01431161.2019.1607980
- Author:
- Shi, Lingfei; Ling, Feng; Foody, Giles M; Chen, Cheng; Fang, Shiming; Li, Xiaodong; Zhang, Yihang; Du, Yun
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8484-8505
- ISSN:
- 1366-5901
- Subject:
- Landsat; climate change; lakes; remote sensing; seasonal variation; shrinkage; time series analysis; urban areas; urbanization; China
- Abstract:
- ... Lakes are important to the healthy functioning of the urban ecosystem. The urban lakes in Wuhan, China, which is known as ‘city of hundreds of lakes’, are facing substantial threats mainly due to rapid urbanization. This paper focused on detecting the spatial and temporal change of urban lakes in Wuhan, using a long time series of Landsat and HJ-1A remotely sensed data from 1987 to 2016. The perma ...
- DOI:
- 10.1080/01431161.2019.1612119
-
https://dx.doi.org/10.1080/01431161.2019.1612119
- Author:
- Zhang, Wenjiang; Liu, Li; Song, Kechao; Li, Xiaodong; Wang, Yidong; Tang, Yi; Jiang, Huiru
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8589-8607
- ISSN:
- 1366-5901
- Subject:
- altitude; deuterium oxide; ecosystems; global warming; heat; mountains; population distribution; remote sensing; rivers; satellites; surface temperature; valleys; vapors; vegetation cover; vegetation index; water stress; wind; China
- Abstract:
- ... Mountains in the southeast Tibetan Plateau (TP) often intercept and precipitate abundant monsoon-transported vapours, but some deep valleys of this region are likely subjected to heavy water stress possibly related to orographic effects. Understanding the orographic effects of these dry-hot valleys (DHV) on vegetation distribution is crucial to project local ecological response to global warming. ...
- DOI:
- 10.1080/01431161.2019.1620370
-
https://dx.doi.org/10.1080/01431161.2019.1620370
- Author:
- Yuan, Man; Liu, Zhi; Wang, Fan; Jin, Fei
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8359-8378
- ISSN:
- 1366-5901
- Subject:
- algorithms; cost effectiveness; data collection; global positioning systems; models; remote sensing; roads
- Abstract:
- ... Deep models are extremely data hungry. Their success is being driven by the availability of large amounts of data for training. For semantic segmentation tasks on aerial and satellite imagery, a major dilemma at present is that it still relies heavily on manual labelling of data. Among these tasks, the semantic segmentation of road is special since it is possible to use auxiliary data, such as GPS ...
- DOI:
- 10.1080/01431161.2019.1608393
-
https://dx.doi.org/10.1080/01431161.2019.1608393
- Author:
- Zhang, Libao; Liu, Yanan; Zhang, Jue
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8270-8297
- ISSN:
- 1366-5901
- Subject:
- color; image analysis; models; remote sensing; texture; wavelet
- Abstract:
- ... Saliency detection has been revealed an effective and reliable approach to extract the region of interest (ROI) in remote sensing images. However, most existing saliency detection methods employing multiple saliency cues ignore the intrinsic relationship between different cues and do not distinguish the diverse contributions of different cues to the final saliency map. In this paper, we propose a ...
- DOI:
- 10.1080/01431161.2019.1608384
-
https://dx.doi.org/10.1080/01431161.2019.1608384
- Author:
- Roosta, Hasan
- Source:
- International journal of remote sensing 2019 v.40 no.22 pp. 8322-8341
- ISSN:
- 1366-5901
- Subject:
- basins; computer software; data collection; deformation; industrial wastes; interferometry; monitoring; oils; remote sensing; satellites; subsidence; synthetic aperture radar; temperature; tides; time series analysis; troposphere; waste disposal; Iran
- Abstract:
- ... This study employs interferometric synthetic aperture radar (InSAR) data sets to monitor the surface deformation of the Nasr Abad buried salt diapir in the Central Basin of Iran. The Nasr Abad salt diapir is one of the largest buried salt diapirs in Iran and could be ideal site for oil/gas storage and industrial waste disposal. In this study, we use 40 advanced synthetic aperture radar (ASAR) imag ...
- DOI:
- 10.1080/01431161.2019.1608386
-
https://dx.doi.org/10.1080/01431161.2019.1608386