Výsledky vyhľadávania - "Remote sensing of environment"

Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks Autor Hong, Danfeng, Zhang, Bing, Li, Hao, Li, Yuxuan, Yao, Jing, Li, Chenyu, Werner, Martin, Chanussot, Jocelyn, Zipf, Alexander, Zhu, Xiao Xiang

“…Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-modality-dominated remote sensing (RS) applications, especially with…”
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Mapping global forest canopy height through integration of GEDI and Landsat data Autor Potapov, Peter, Li, Xinyuan, Hernandez-Serna, Andres, Tyukavina, Alexandra, Hansen, Matthew C., Kommareddy, Anil, Pickens, Amy, Turubanova, Svetlana, Tang, Hao, Silva, Carlos Edibaldo, Armston, John, Dubayah, Ralph, Blair, J. Bryan, Hofton, Michelle

“…Consistent, large-scale operational monitoring of forest height is essential for estimating forest-related carbon emissions, analyzing forest degradation, and…”
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Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications Autor Wei, Jing, Li, Zhanqing, Lyapustin, Alexei, Sun, Lin, Peng, Yiran, Xue, Wenhao, Su, Tianning, Cribb, Maureen

“…Exposure to fine particulate matter (PM2.5) can significantly harm human health and increase the risk of death. Satellite remote sensing allows for generating…”
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Deep learning in environmental remote sensing: Achievements and challenges Autor Yuan, Qiangqiang, Shen, Huanfeng, Li, Tongwen, Li, Zhiwei, Li, Shuwen, Jiang, Yun, Xu, Hongzhang, Tan, Weiwei, Yang, Qianqian, Wang, Jiwen, Gao, Jianhao, Zhang, Liangpei

“…Various forms of machine learning (ML) methods have historically played a valuable role in environmental remote sensing research. With an increasing amount of…”
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Transfer learning in environmental remote sensing Autor Ma, Yuchi, Chen, Shuo, Ermon, Stefano, Lobell, David B.

“…Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly increasing amounts of remote sensing data for environmental monitoring. Yet ML…”
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Fifty years of Landsat science and impacts Autor Wulder, Michael A., Roy, David P., Radeloff, Volker C., Loveland, Thomas R., Anderson, Martha C., Johnson, David M., Healey, Sean, Zhu, Zhe, Scambos, Theodore A., Pahlevan, Nima, Hansen, Matthew, Gorelick, Noel, Crawford, Christopher J., Masek, Jeffrey G., Hermosilla, Txomin, White, Joanne C., Belward, Alan S., Schaaf, Crystal, Woodcock, Curtis E., Huntington, Justin L., Lymburner, Leo, Hostert, Patrick, Gao, Feng, Lyapustin, Alexei, Pekel, Jean-Francois, Strobl, Peter, Cook, Bruce D.

“…Since 1972, the Landsat program has been continually monitoring the Earth, to now provide 50 years of digital, multispectral, medium spatial resolution…”
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Remote sensing for agricultural applications: A meta-review Autor Weiss, M., Jacob, F., Duveiller, G.

“…Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount for human livelihood. Today, this role must be satisfied within a…”
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lidR: An R package for analysis of Airborne Laser Scanning (ALS) data Autor Roussel, Jean-Romain, Auty, David, Coops, Nicholas C., Tompalski, Piotr, Goodbody, Tristan R.H., Meador, Andrew Sánchez, Bourdon, Jean-François, de Boissieu, Florian, Achim, Alexis

“…Airborne laser scanning (ALS) is a remote sensing technology known for its applicability in natural resources management. By quantifying the three-dimensional…”
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Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China Autor Wei, Jing, Li, Zhanqing, Li, Ke, Dickerson, Russell R., Pinker, Rachel T., Wang, Jun, Liu, Xiong, Sun, Lin, Xue, Wenhao, Cribb, Maureen

“…Ozone (O3) is an important trace and greenhouse gas in the atmosphere, posing a threat to the ecological environment and human health at the ground level…”
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Land-cover classification with high-resolution remote sensing images using transferable deep models Autor Tong, Xin-Yi, Xia, Gui-Song, Lu, Qikai, Shen, Huanfeng, Li, Shengyang, You, Shucheng, Zhang, Liangpei

“…In recent years, large amount of high spatial-resolution remote sensing (HRRS) images are available for land-cover mapping. However, due to the complex…”
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Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters Autor Zheng, Zhuo, Zhong, Yanfei, Wang, Junjue, Ma, Ailong, Zhang, Liangpei

“…•Deep object-based semantic change detection framework (ChangeOS) is proposed.•ChangeOS seamlessly integrates object-based image analysis and deep…”
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Soybean yield prediction from UAV using multimodal data fusion and deep learning Autor Maimaitijiang, Maitiniyazi, Sagan, Vasit, Sidike, Paheding, Hartling, Sean, Esposito, Flavio, Fritschi, Felix B.

“…Preharvest crop yield prediction is critical for grain policy making and food security. Early estimation of yield at field or plot scale also contributes to…”
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Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission Autor Duncanson, Laura, Kellner, James R., Dubayah, Ralph, Minor, David M., Hancock, Steven, Healey, Sean P., Patterson, Paul L., Saarela, Svetlana, Marselis, Suzanne, Silva, Carlos E., Bruening, Jamis, Goetz, Scott J., Tang, Hao, Hofton, Michelle, Blair, Bryan, Luthcke, Scott, Fatoyinbo, Lola, Alonso, Alfonso, Andersen, Hans-Erik, Aplin, Paul, Baker, Timothy R., Barbier, Nicolas, Bastin, Jean Francois, Biber, Peter, Boeckx, Pascal, Bogaert, Jan, Boschetti, Luigi, Boucher, Peter Brehm, Boyd, Doreen S., Calvo-Rodriguez, Sofia, Chazdon, Robin L., Coomes, David A., Corona, Piermaria, Cushman, K.C., Cutler, Mark E.J., Dalling, James W., Dash, Jonathan, de-Miguel, Sergio, Deng, Songqiu, Ellis, Peter Woods, Erasmus, Barend, Fekety, Patrick A., Fernandez-Landa, Alfredo, Ferraz, Antonio, Fisher, Adrian G., García-Abril, Antonio, Hacker, Jorg M., Heurich, Marco, Hill, Ross A., Hopkinson, Chris, Huang, Huabing, Hubbell, Stephen P., Hudak, Andrew T., Huth, Andreas, Imbach, Benedikt, Jeffery, Kathryn J., Katoh, Masato, Kearsley, Elizabeth, Kenfack, David, Kljun, Natascha, Král, Kamil, Krůček, Martin, Labrière, Nicolas, Lewis, Simon L., Longo, Marcos, Lucas, Richard M., Main, Russell, Martínez, Rodolfo Vásquez, Mathieu, Renaud, Memiaghe, Herve, Meyer, Victoria, Monerris, Alessandra, Montesano, Paul, Morsdorf, Felix, Næsset, Erik, Naidoo, Laven, Nilus, Reuben, O’Brien, Michael, Orwig, David A., Papathanassiou, Konstantinos, Poulsen, John R., Pretzsch, Hans, Saatchi, Sassan, Sanchez-Azofeifa, Arturo, Sanchez-Lopez, Nuria, Scholes, Robert, Silva, Carlos A., Simard, Marc, Skidmore, Andrew, Stereńczak, Krzysztof, Tanase, Mihai, Torresan, Chiara, Valbuena, Ruben, Verbeeck, Hans, Vrska, Tomas, Wessels, Konrad, White, Joanne C., White, Lee J.T., Zahabu, Eliakimu, Zgraggen, Carlo

“…NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate…”
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Annual maps of global artificial impervious area (GAIA) between 1985 and 2018 Autor Gong, Peng, Li, Xuecao, Wang, Jie, Bai, Yuqi, Chen, Bin, Hu, Tengyun, Liu, Xiaoping, Xu, Bing, Yang, Jun, Zhang, Wei, Zhou, Yuyu

“…Artificial impervious areas are predominant indicators of human settlements. Timely, accurate, and frequent information on artificial impervious areas is…”
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Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany Autor Blickensdörfer, Lukas, Schwieder, Marcel, Pflugmacher, Dirk, Nendel, Claas, Erasmi, Stefan, Hostert, Patrick

“…Monitoring agricultural systems becomes increasingly important in the context of global challenges like climate change, biodiversity loss, population growth,…”
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Google Earth Engine: Planetary-scale geospatial analysis for everyone Autor Gorelick, Noel, Hancher, Matt, Dixon, Mike, Ilyushchenko, Simon, Thau, David, Moore, Rebecca

“…Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis that brings Google's massive computational capabilities to bear on a…”
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Remote sensing of night lights: A review and an outlook for the future Autor Levin, Noam, Kyba, Christopher C.M., Zhang, Qingling, Sánchez de Miguel, Alejandro, Román, Miguel O., Li, Xi, Portnov, Boris A., Molthan, Andrew L., Jechow, Andreas, Miller, Steven D., Wang, Zhuosen, Shrestha, Ranjay M., Elvidge, Christopher D.

“…Remote sensing of night light emissions in the visible band offers a unique opportunity to directly observe human activity from space. This has allowed a host…”
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Terrestrial laser scanning in forest ecology: Expanding the horizon Autor Calders, Kim, Adams, Jennifer, Armston, John, Bartholomeus, Harm, Bauwens, Sebastien, Bentley, Lisa Patrick, Chave, Jerome, Danson, F. Mark, Demol, Miro, Disney, Mathias, Gaulton, Rachel, Krishna Moorthy, Sruthi M., Levick, Shaun R., Saarinen, Ninni, Schaaf, Crystal, Stovall, Atticus, Terryn, Louise, Wilkes, Phil, Verbeeck, Hans

“…Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree height and diameter, in the early 2000s. Recent advances in sensor…”
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The Harmonized Landsat and Sentinel-2 surface reflectance data set Autor Claverie, Martin, Ju, Junchang, Masek, Jeffrey G., Dungan, Jennifer L., Vermote, Eric F., Roger, Jean-Claude, Skakun, Sergii V., Justice, Christopher

“…The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming to produce a Virtual Constellation (VC) of surface reflectance (SR) data…”
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A review of vegetation phenological metrics extraction using time-series, multispectral satellite data Autor Zeng, Linglin, Wardlow, Brian D., Xiang, Daxiang, Hu, Shun, Li, Deren

“…Vegetation dynamics and phenology play an important role in inter-annual vegetation changes in terrestrial ecosystems and are key indicators of…”
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