Search Results - "International journal of applied earth observation and geoinformation"

A review on deep learning in UAV remote sensing by Osco, Lucas Prado, Marcato Junior, José, Marques Ramos, Ana Paula, de Castro Jorge, Lúcio André, Fatholahi, Sarah Narges, de Andrade Silva, Jonathan, Matsubara, Edson Takashi, Pistori, Hemerson, Gonçalves, Wesley Nunes, Li, Jonathan

“…•Combining deep learning and UAV-based data is an emerging trend in remote sensing.•Most articles published rely on CNN-based methods.•Future perspectives in…”
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Deep learning in multimodal remote sensing data fusion: A comprehensive review by Li, Jiaxin, Hong, Danfeng, Gao, Lianru, Yao, Jing, Zheng, Ke, Zhang, Bing, Chanussot, Jocelyn

“…With the extremely rapid advances in remote sensing (RS) technology, a great quantity of Earth observation (EO) data featuring considerable and complicated…”
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The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil by Silva Rotta, Luiz Henrique, Alcântara, Enner, Park, Edward, Negri, Rogério Galante, Lin, Yunung Nina, Bernardo, Nariane, Mendes, Tatiana Sussel Gonçalves, Souza Filho, Carlos Roberto

“…•Vertical subsidence was observed few months before the dam collapse.•Large scale liquefaction was already happening across the fill before it collapsed.•The…”
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High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data by Li, Wang, Niu, Zheng, Shang, Rong, Qin, Yuchu, Wang, Li, Chen, Hanyue

“…•A machine-learning based high-resolution mapping workflow was proposed.•Canopy height product from ICESat-2 satellite was validated by airborne LiDAR…”
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High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques by Li, Shuang, Xu, Liang, Jing, Yinghong, Yin, Hang, Li, Xinghua, Guan, Xiaobin

“…•A review on high-quality NDVI time series product generation.•Three kinds of methods are summarized.•The merits and demerits of each technique are…”
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Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method by Wu, Hao, Lin, Anqi, Xing, Xudong, Song, Danxia, Li, Yan

“…•Global land cover products and POIs were combined to reveal LUCC driving mechanism.•Human and biophysical factors were identified by a margin-based measure of…”
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Global analysis of time-lag and -accumulation effects of climate on vegetation growth by Ding, Yongxia, Li, Zhi, Peng, Shouzhang

“…•Climatic factors show time-lag and accumulation effects on global vegetation.•The effects show variations across climatic factors, vegetation types, and…”
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Integrating remote sensing and geospatial big data for urban land use mapping: A review by Yin, Jiadi, Dong, Jinwei, Hamm, Nicholas A.S., Li, Zhichao, Wang, Jianghao, Xing, Hanfa, Fu, Ping

“…•Urban land use mapping through integrating remote sensing and geospatial big data.•Crucial features from remote sensing and geospatial big data are…”
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Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data by Meng, Xiangtian, Bao, Yilin, Liu, Jiangui, Liu, Huanjun, Zhang, Xinle, Zhang, Yu, Wang, Peng, Tang, Haitao, Kong, Fanchang

“…•Regional scale soil organic carbon (SOC) prediction and mapping using hyperspectral satellite data.•Using hyperspectral satellite data greatly improved the…”
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A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping by Lv, Liang, Chen, Tao, Dou, Jie, Plaza, Antonio

“…[Display omitted] •Fully used the deep learning model as the base model for heterogeneous ensemble.•Stacking ensemble method improved the performance of the…”
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Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa by Slagter, Bart, Tsendbazar, Nandin-Erdene, Vollrath, Andreas, Reiche, Johannes

“…•Wetland complexities were mapped using a multi-level classification scheme.•Both wetland vegetation types and surface water dynamics were…”
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Retrieval of aboveground crop nitrogen content with a hybrid machine learning method by Berger, Katja, Verrelst, Jochem, Féret, Jean-Baptiste, Hank, Tobias, Wocher, Matthias, Mauser, Wolfram, Camps-Valls, Gustau

“…•PROSPECT-PRO model accounting for proteins is coupled with the 1-D SAIL model.•Gaussian processes (GP) identifies optimal spectral bands for nitrogen (N)…”
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ADS-Net:An Attention-Based deeply supervised network for remote sensing image change detection by Wang, Decheng, Chen, Xiangning, Jiang, Mingyong, Du, Shuhan, Xu, Bijie, Wang, Junda

“…•We propose a new deep supervision network based on the attention mechanism (ADS-Net). Which is a new encoding-decoding full convolutional network with…”
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Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review by Wambugu, Naftaly, Chen, Yiping, Xiao, Zhenlong, Tan, Kun, Wei, Mingqiang, Liu, Xiaoxue, Li, Jonathan

“…•Limited training samples greatly inhibits performance of HSI classification models.•Data augmentation and synthesizers such as GANs can supplement limited…”
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SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity by Fernandez-Mansoa, Alfonso, Fernandez-Mansob, Oscar, Quintanoc, Carmen

“…Fires are a problematic and recurrent issue in Mediterranean ecosystems. Accurate discrimination between burn severity levels is essential for the…”
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SUACDNet: Attentional change detection network based on siamese U-shaped structure by Song, Lei, Xia, Min, Jin, Junlan, Qian, Ming, Zhang, Yonghong

“…•Attentional change detection network based on Siamese U-shaped structure is proposed.•Multi-scale Convolution Residual Module is proposed.•Three new modules…”
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DSA-Net: A novel deeply supervised attention-guided network for building change detection in high-resolution remote sensing images by Ding, Qing, Shao, Zhenfeng, Huang, Xiao, Altan, Orhan

“…•A novel dual-branch end-to-end network is proposed for building change detection.•To improve detection accuracy, multi-level and multi-scale features are…”
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Road extraction in remote sensing data: A survey by Chen, Ziyi, Deng, Liai, Luo, Yuhua, Li, Dilong, Marcato Junior, José, Nunes Gonçalves, Wesley, Awal Md Nurunnabi, Abdul, Li, Jonathan, Wang, Cheng, Li, Deren

“…•This review covers a wider perspective in terms of both 2D remote sensing images and 3D point clouds.•This review provides a detail survey on 2D and 3D remote…”
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Digital twin of a city: Review of technology serving city needs by Lehtola, Ville V., Koeva, Mila, Elberink, Sander Oude, Raposo, Paulo, Virtanen, Juho-Pekka, Vahdatikhaki, Faridaddin, Borsci, Simone

“…Digital twins (DTs) have been found useful in manufacturing, construction, and maintenance. Adapting DTs to serve cities, the question arises of what an urban…”
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An attention-based U-Net for detecting deforestation within satellite sensor imagery by John, David, Zhang, Ce

“…•An Attention U-Net is used to detect deforestation in Sentinel-2 satellite imagery.•Four state-of-the-art deep learning models are compared to Attention…”
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