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You searched for: Journal name International journal of applied earth observation and geoinformation Remove constraint Journal name: International journal of applied earth observation and geoinformation Publication year rev 7978-2022 Remove constraint Publication year rev: 7978-2022 Source 2022 v.109 Remove constraint Source: 2022 v.109
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1. 3D cumulus cloud scene modelling and shadow analysis method based on ground-based sky images

Author:
Yuxuan Chen; Jing Chen; Wumeng Huang
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102765
ISSN:
1569-8432
Subject:
cloud cover; direct solar radiation; power generation; spatial data
Abstract:
... Cloud scene modelling and shadow analysis in 3D geographical scenes can provide auxiliary support for evaluating photovoltaic (PV) power generation. Thus far, real cloud scene based on measured data has not been constructed in 3D geographical scenes, and shadow with different intensity caused by cumulus cloud thickness has not been considered. In this study, a 3D cumulus cloud scene modelling and ...
DOI:
10.1016/j.jag.2022.102765

2. Classifying surface fuel types based on forest stand photographs and satellite time series using deep learning

Author:
Pia Labenski; Michael Ewald; Sebastian Schmidtlein; Fabian Ewald Fassnacht
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102799
ISSN:
1569-8432
Subject:
fire behavior; forest litter; forest stands; forests; neural networks; photographs; remote sensing; risk; satellites; spatial data; time series analysis; understory
Abstract:
... With the increasing threat of wildfires globally, improving the availability of accurate, spatially explicit fuel type information is critical for fire behavior predictions that can support management decisions to mitigate fire hazards. Since mapping surface fuel types using airborne or spaceborne sensors relies on ground truth data from laborious field assessments, here we propose a novel proxima ...
DOI:
10.1016/j.jag.2022.102799

3. Distinguishable keypoint detection and matching for optical satellite images with deep convolutional neural networks

Author:
Xiaodong Zhang; Puyun Liao; Guanzhou Chen; Kun Zhu; Xiaoliang Tan; Tong Wang; Xianwei Li; Hongyu Wu
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102795
ISSN:
1569-8432
Subject:
data collection; multispectral imagery; satellites; spatial data
Abstract:
... As a required step in optical remote sensing applications, image matching identifies correspondences to estimate the relationship between two images. To address this task, feature-based algorithms, such as Scale-Invariant Feature Transform (SIFT), use detectors to identify keypoints and then apply descriptors to represent these keypoints as feature vectors. Thereby, these vectors from different im ...
DOI:
10.1016/j.jag.2022.102795

4. DsTer: A dense spectral transformer for remote sensing spectral super-resolution

Author:
Jiang He; Qiangqiang Yuan; Jie Li; Yi Xiao; Xinxin Liu; Yun Zou
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102773
ISSN:
1569-8432
Subject:
data collection; image analysis; journals; learning; models; multispectral imagery; remote sensing; spatial data
Abstract:
... To obtain high-resolution hyperspectral data, spectral super-resolution is a popular computational imaging technique directly from high-resolution multispectral images. Besides sparse recovery, deep learning-based methods perform well in the past years for their powerful nonlinear mapping from multispectral to hyperspectral domains. However, convolutions in deep learning only focus on local inform ...
DOI:
10.1016/j.jag.2022.102773

5. Global 10-m impervious surface area mapping: A big earth data based extraction and updating approach

Author:
Zhongchang Sun; Wenjie Du; Huiping Jiang; Qihao Weng; Huadong Guo; Youmei Han; Qiang Xing; Yuanxu Ma
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102800
ISSN:
1569-8432
Subject:
Internet; Russia; data collection; humans; spatial data; surface area; sustainable development; synthetic aperture radar; time series analysis; urbanization; Africa; South America
Abstract:
... The impervious surface area is a critical component of anthropogenic environment that can be utilized as a proxy for assessing urbanization sustainability. However, there remains a lack of global high-precision product of impervious surface area, especially in the arid and semi-arid regions, due to the difficulty of human settlement extraction from remote sensing data. The complexity and variabili ...
DOI:
10.1016/j.jag.2022.102800

6. Mapping tree mortality rate in a tropical moist forest using multi-temporal LiDAR

Author:
Claudia Huertas; Daniel Sabatier; Géraldine Derroire; Bruno Ferry; Toby.D. Jackson; Raphaël Pélissier; Grégoire Vincent
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102780
ISSN:
1569-8432
Subject:
canopy; canopy height; global change; landscapes; lidar; lowlands; mortality; spatial data; topography; tree mortality; tropical rain forests; French Guiana
Abstract:
... Several studies have shown an increase in tree mortality in intact tropical forests in recent decades. However, most studies are based on networks of field plots whose representativeness is debated. We examine the potential of repeated Airborne LiDAR Scanning data to map forest structure change over large areas with high spatial resolution and to detect tree mortality patterns at landscape level.  ...
DOI:
10.1016/j.jag.2022.102780

7. Multi-scale attention integrated hierarchical networks for high-resolution building footprint extraction

Author:
Tang Liu; Ling Yao; Jun Qin; Ning Lu; Hou Jiang; Fan Zhang; Chenghu Zhou
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102768
ISSN:
1569-8432
Subject:
data collection; image analysis; models; spatial data
Abstract:
... Convolutional neural networks show excellent performance in image segmentation. However, compared with natural images, remote sensing images are characterized by large coverage, multi-scale nesting, and complex geographic context. Therefore, it has been a challenging task to extract the building footprint from high-resolution remote sensing images. In this study, an end-to-end Multi-Scale Geoscien ...
DOI:
10.1016/j.jag.2022.102768

8. Robust geographical detector

Author:
Zehua Zhang; Yongze Song; Peng Wu
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102782
ISSN:
1569-8432
Subject:
Internet; algorithms; case studies; models; nitrogen dioxide; satellites; socioeconomics; spatial data; variance; Australia
Abstract:
... Geographical detector (GD) is a method to measure spatial associations using a power of determinant (PD) value that compares the variance of data within spatial zones and in the whole study area. Recent studies have implemented GD in diverse fields, such as environmental and socio-economic issues. Spatial data discretization is an essential stage for determining zones using explanatory variables. ...
DOI:
10.1016/j.jag.2022.102782

9. A domain adaptation neural network for change detection with heterogeneous optical and SAR remote sensing images

Author:
Chenxiao Zhang; Yukang Feng; Lei Hu; Deodato Tapete; Li Pan; Zheheng Liang; Francesca Cigna; Peng Yue
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102769
ISSN:
1569-8432
Subject:
Landsat; data collection; spatial data; California
Abstract:
... Heterogeneous remote sensing source-based change detection with optical and SAR data and their combined all-time and all-weather observation capability provides a reliable and promising solution for a wide range of applications. State-of-the-art supervised methods typically take a two-stage strategy that suffers from the loss of original image features and the introduction of noise on the transfer ...
DOI:
10.1016/j.jag.2022.102769

10. A recommender system-inspired cloud data filling scheme for satellite-based coastal land use classification

Author:
Ruo-Qian Wang
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102770
ISSN:
1569-8432
Subject:
Landsat; algorithms; coasts; data collection; land use; landscapes; spatial data; temperature
Abstract:
... Filling missing data in cloud-covered areas of satellite imaging is an important task to improve data quantity and quality for enhanced earth observation. Traditional cloud filling studies focused on continuous numerical data such as temperature and cyanobacterial concentration in the open ocean. Cloud data filling issues in coastal imaging have not been studied to the author’s knowledge because o ...
DOI:
10.1016/j.jag.2022.102770

11. An airborne LiDAR bathymetric waveform decomposition method in very shallow water: A case study around Yuanzhi Island in the South China Sea

Author:
Fanlin Yang; Chao Qi; Dianpeng Su; Shijun Ding; Yan He; Yue Ma
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102788
ISSN:
1569-8432
Subject:
algorithms; case studies; data collection; lidar; mechanics; models; optics; spatial data; topography; China; South China Sea
Abstract:
... Airborne LiDAR bathymetry (ALB) is an active remote sensing technology for deriving underwater topography by detecting surface and bottom signals with a scanning green channel (532 nm) laser. However, due to the limitations of laser pulse duration and receiver bandwidth, the surface and bottom signal contributions are typically mixed in the green channel waveform in very shallow water (<2 m water ...
DOI:
10.1016/j.jag.2022.102788

12. An effective superpixel-based graph convolutional network for small waterbody extraction from remotely sensed imagery

Author:
Weiyue Shi; Haigang Sui
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102777
ISSN:
1569-8432
Subject:
data collection; humans; irrigation; remote sensing; spatial data; surface water; China
Abstract:
... Small waterbodies sustain susceptible ecosystems and are influenced by variable dynamics associated with human activities and environmental disturbances. Although remote sensing has displayed efficiency in mapping surface waterbodies on a regular basis, the identification of small waterbodies such as ponds or irrigation ditches remains a challenge, as small waterbodies are often confused with othe ...
DOI:
10.1016/j.jag.2022.102777

13. Analyzing large-scale Data Cubes with user-defined algorithms: A cloud-native approach

Author:
Chen Xu; Xiaoping Du; Hongdeng Jian; Yi Dong; Wei Qin; Haowei Mu; Zhenzhen Yan; Junjie Zhu; Xiangtao Fan
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102784
ISSN:
1569-8432
Subject:
data collection; land cover; models; spatial data
Abstract:
... Recent advances in cloud-based remote sensing platforms have revoluted the routines for remote sensing big data (RSBD) analysis. However, it is challenging to make user-defined algorithms reusable for RSBD applications if not pre-implemented in RSBD platforms, especially legacy algorithms written with specific programming languages and libraries. In recent years, the emergence of containerization, ...
DOI:
10.1016/j.jag.2022.102784

14. Automated soybean mapping based on canopy water content and chlorophyll content using Sentinel-2 images

Author:
Yingze Huang; Bingwen Qiu; Chongcheng Chen; Xiaolin Zhu; Wenbin Wu; Fanchen Jiang; Duoduo Lin; Yufeng Peng
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102801
ISSN:
1569-8432
Subject:
agricultural development; algorithms; automation; canopy; chlorophyll; data collection; soybeans; spatial data; sustainable agriculture; vegetation index; water content; water stress; Illinois; Indiana; Missouri; Ohio
Abstract:
... Accurate and timely spatiotemporal distribution information of soybean is vital for sustainable agriculture development. However, it is challenging to establish a phenology-based automated crops mapping algorithm at large spatial domains by simply applying vegetation index temporal profile. This study developed a Phenology-based automatic Soybean mapping algorithm through combined Canopy water and ...
DOI:
10.1016/j.jag.2022.102801

15. Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net

Author:
Mohammad Aghdami-Nia; Reza Shah-Hosseini; Amirhossein Rostami; Saeid Homayouni
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102785
ISSN:
1569-8432
Subject:
Landsat; coasts; data collection; models; spatial data; time series analysis; Caspian Sea
Abstract:
... Sea-land segmentation (SLS) is an essential remote sensing task for various coastal and environmental studies such as coastline extraction, coastal erosion, coastal area monitoring, and ship or iceberg detection. This study aims at improving the SLS performance by modifying the Standard U-Net (SUN) model and developing an automatic coastline extraction framework. SUN generally has an acceptable pe ...
DOI:
10.1016/j.jag.2022.102785

16. Characterizing urban growth in Vientiane from 2000 to 2019 using time-series optical and SAR-based estimates of urban land

Author:
Chong Huang; Chenchen Zhang
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102798
ISSN:
1569-8432
Subject:
cropland; landscapes; soil; spatial data; sustainable development; synthetic aperture radar; time series analysis; urban areas; urbanization; vegetation cover; Laos
Abstract:
... While annual urban growth rates are declining in many highly urbanized regions of the world, Southeast Asia (SEA) is experiencing an accelerated urbanization process in small and medium-sized cities (SMCs), to which little attention has been paid. High-precision urban land information is a prerequisite for analyzing urban expansion characteristics for SMCs. However, accurately extracting urban lan ...
DOI:
10.1016/j.jag.2022.102798

17. Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data

Author:
Michele Dalponte; Yady Tatiana Solano-Correa; Hans Ole Ørka; Terje Gobakken; Erik Næsset
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102790
ISSN:
1569-8432
Subject:
Picea abies; doves; forest health; forest industries; forests; health status; heartwood; lidar; remote sensing; satellites; spatial data; stem rot; support vector machines; tree crown; Norway
Abstract:
... Norway spruce pathogenic fungi causing root, butt and stem rot represent a substantial problem for the forest sector in many countries. Early detection of rot presence is important for efficient management of the forest resources but due to its nature, which does not generate evident exterior signs, it is very difficult to detect without invasive measurements. Remote sensing has been widely used t ...
DOI:
10.1016/j.jag.2022.102790

18. Feature fusion-based registration of satellite images to airborne LiDAR bathymetry in island area

Author:
Xue Ji; Bisheng Yang; Qiuhua Tang; Wenxue Xu; Jie Li
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102778
ISSN:
1569-8432
Subject:
algorithms; cluster analysis; coasts; georeferencing; issues and policy; lidar; models; remote sensing; satellites; spatial data
Abstract:
... Airborne laser bathymetry (ALB) and satellite imagery, as two different types of remote sensing (RS) data sources, have been widely used in coastal zone dynamic monitoring by virtue of unique advantages. However, ALB data and optical imagery collected in island areas generally have offsets due to various error sources, lack of distinctive features and scarce control. The feasibility and efficiency ...
DOI:
10.1016/j.jag.2022.102778

19. Further application of using a personal laser scanner and simultaneous localization and mapping technology to estimate the log’s volume and its comparison with traditional methods

Author:
Felipe de Miguel-Díez; Stefan Reder; Evelyn Wallor; Henrik Bahr; Lubomir Blasko; Jan-Peter Mund; Tobias Cremer
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102779
ISSN:
1569-8432
Subject:
Picea abies; commercialization; computer software; roundwood; scanners; spatial data; stakeholders; supply chain
Abstract:
... The aim of this study was the development of a methodical processing line for estimating the log’s volume from scanning logs using a long-range high-speed personal laser scanner (PLS) GeoSLAM ZEB HORIZON and simultaneous localization and mapping (SLAM) technology in an open-source software framework of Cloud Compare. Additionally, the accuracy and precision of using PLS and the suggested method wh ...
DOI:
10.1016/j.jag.2022.102779

20. Illuminated border: Spatiotemporal analysis of COVID-19 pressure in the Sino-Burma border from the perspective of nighttime light

Author:
Fei Zhao; Sujin Zhang; Degang Zhang; Zhiyan Peng; Hongyun Zeng; Zhifang Zhao; Wei Jin; Wenyu Shen; Wei Liu
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102774
ISSN:
1569-8432
Subject:
COVID-19 infection; disease transmission; light intensity; models; mutants; public health; quarantine; resource allocation; spatial data; uncertainty
Abstract:
... The emergence of mutant strains such as Omicron has increased the uncertainty of COVID-19, and all countries have taken strict measures to prevent the spread of the disease. The spread of the disease between countries is of particular concern. However, most COVID-19 research focuses mainly on the country or community, and there is less research on the border areas between two countries. In this st ...
DOI:
10.1016/j.jag.2022.102774