Results 31 to 40 of about 2,212,969 (308)

Artificial Intelligence-Based Learning Approaches for Remote Sensing

, 2022
Remote sensing (RS) is a method for understanding the ground and for facilitating human–ground communications [...
Gwanggil Jeon
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The use of remote sensing to derive maize sowing dates for large-scale crop yield simulations

, 2020
One of the major sources of uncertainty in large-scale crop modeling is the lack of information capturing the spatiotemporal variability of crop sowing dates. Remote sensing can contribute to reducing such uncertainties by providing essential spatial and
Dubovyk, Olena, Eyshi Rezaei, Ehsan, González, Javier, Ghazaryan,Gohar, Siebert, Stefan, Cornish, Natalie, Dubovyk, Olena; Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn, Bonn, Germany, Ghazaryan, Gohar, Ghazaryan, Gohar; Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn, Bonn, Germany, Cornish, Natalie; RSS Remote Sensing Solutions GmbH, Munich, Germany, Rezaei, Ehsan Eyshi; Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany, Siebert, Stefan; Department of Crop Sciences, University of Göttingen, Göttingen, Germany, González, Javier; Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn, Bonn, Germany, Rezaei, Ehsan Eyshi, Olena Dubovyk, Natalie Cornish, Ehsan Eyshi Rezaei, Javier González, Gohar Ghazaryan, Stefan Siebert   +19 more
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ANALYSIS OF THE INFLUENCE OF DISTANCE ON DATA ACQUISITION INTENSITY FORESTRY TARGETS BY A LIDAR TECHNIQUE WITH TERRESTRIAL LASER SCANNER [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
The forest sciences as well as other areas of knowledge benefit from technological advances to develop their working methods and increase their knowledge of their specific field of study.
F. Bordin, E. C. Teixeira, S. B. A. Rolim, F. M. W. Tognoli, C. N. Souza, M. R. Veronez   +5 more
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MIX-RS: A Multi-Indexing System Based on HDFS for Remote Sensing Data Storage

Tsinghua Science and Technology, 2022
A large volume of remote sensing (RS) data has been generated with the deployment of satellite technologies. The data facilitates research in ecological monitoring, land management and desertification, etc. The characteristics of RS data (e.g., enormous volume, large single-file size and demanding requirement of fault tolerance) make the Hadoop ...
Jiashu Wu, Jingpan Xiong, Hao Dai, Yang Wang 0006, Chengzhong Xu 0001   +4 more
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Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa. [PDF]

, 2009
Beginning in 1970, the potential of remote sensing (RS) techniques, coupled with geographical information systems (GIS), to improve our understanding of the epidemiology and control of schistosomiasis in Africa, has steadily grown. In our current review,
Utzinger, J, Stensgaard, AS, Simoonga, C., Olsen, A., Kristensen, TK, Utzinger, J., Vounatsou, P, Brooker, S, Olsen, Annette, Kristensen, T. K., Simoonga, C, Appleton, CC, Stensgaard, Anna-Sofie, Olsen, A, Stensgaard, A. S., Vounatsou, P., Appleton, C. C., Kristensen, Thomas K., Appleton, C.C., Brooker, S.   +19 more
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Study of crop condition and assessment of agricultural drought in rabi season using IRS – AWiFS images

Journal of Agrometeorology, 2008
Although kharif season crops are more vulnerable to agricultural droughts due to uncertainty in monsoon rains, crops of rabi season grown under residual soil moisture and rainfed minor irrigation tanks are equally vulnerable to drought hazard.
C. S. MURTHY, M.V.R. SESHA SAI, V. BHANUJA KUMARI, V. S. PRAKASH, P. S. ROY   +4 more
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VİSKON-RS: Rapid damage assessment software with remote sensing

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
After a disaster, a rapid damage assessment is required for coordinating emergency response teams and planning emergency aid. In this study, in line with AFAD requirements, ViSKON-RS software was developed for the aim of using disaster damage assessment by analysing images obtained via remote(space/air) imaging technologies.
Fatih Kahraman, Mumin Imamoglu, Busra Yuksel Ozcan, Cengiz Huroglu, Tolga Alasag, Omer Faruk Gemici, Muhammet A. Hocaoglu, Hasan F. Ates   +7 more
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RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images

Applied Sciences, 2022
Automatic object detection by satellite remote sensing images is of great significance for resource exploration and natural disaster assessment. To solve existing problems in remote sensing image detection, this article proposes an improved YOLOX model for satellite remote sensing image automatic detection. This model is named RS-YOLOX.
Lei Yang, Guowu Yuan, Hao Zhou, Hongyu Liu, Jian Chen, Hao Wu   +5 more
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LuoJiaAI: A cloud-based artificial intelligence platform for remote sensing image interpretation

Geo-spatial Information Science, 2023
The rapid processing, analysis, and mining of remote-sensing big data based on intelligent interpretation technology using remote-sensing cloud computing platforms (RS-CCPs) have recently become a new trend.
Zhan Zhang, Mi Zhang, Jianya Gong, Xiangyun Hu, Hanjiang Xiong, Huan Zhou, Zhipeng Cao   +6 more
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REMOTE SENSING, GIS AND PUBLIC HEALTH [PDF]

, 2010
The role of remote sensing (RS) and Geographic Information Systems (GIS) in public health is potentially great. As computer technology it continues to transform our ability to gather, analyze, and map health data, new roles for RS and GIS in public ...
HIROKl SUGIMORI, SUGIMORI, HIROKl
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