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Multitemporal soil pattern analysis with multispectral remote sensing data at the field-scale

Gerald Blasch, Daniel Spengler, Christian Hohmann, Carsten Neumann, Sibylle Itzerott, Herrmann Kaufmann
2015 Computers and Electronics in Agriculture  
It demonstrates (i) the potential of multitemporal soil pattern analysis (ii) to generate functional soil maps at field scale based on soil reflectance patterns and related soil properties and (iii) how  ...  This research proposes a new model for the generation of basic soil information maps for precision agriculture based on multitemporal remote sensing data analysis and GIS spatial data modelling.  ...  Further, we thank the German Aerospace Centre (DLR) for providing the data from the RapidEye Science Archive (RESA 617 FKZ) and also appreciate the cooperation of the agricultural company of Agrarservice  ... 
doi:10.1016/j.compag.2015.01.012 fatcat:hxebkpm4jrgxrpkylmwa3puuwa

Organic Matter Modeling at the Landscape Scale Based on Multitemporal Soil Pattern Analysis Using RapidEye Data

Gerald Blasch, Daniel Spengler, Sibylle Itzerott, Gerd Wessolek
2015 Remote Sensing  
This study proposes the development of a landscape-scale multitemporal soil pattern analysis (MSPA) method for organic matter (OM) estimation using RapidEye time series data analysis and GIS spatial data  ...  Results modeled at the landscape scale were validated at an independent test site with a resulting prediction error of 1.4 OM-% for the main OM value range of the Demmin study area.  ...  Author Contributions Gerald Blasch developed the overall approach, conducted the methodological development, image processing and analysis and prepared the manuscript.  ... 
doi:10.3390/rs70911125 fatcat:vwvb726ou5d4den76f4c7ouaqy

Multimodal hyperspectral remote sensing: an overview and perspective

Yanfeng Gu, Tianzhu Liu, Guoming Gao, Guangbo Ren, Yi Ma, Jocelyn Chanussot, Xiuping Jia
2021 Science China Information Sciences  
Nowadays, with the fast development of new technology in the fields of information and photoelectricity sensing, and the popularity of unmanned aerial vehicle, hyperspectral remote sensing imaging presents  ...  Since the advent of hyperspectral remote sensing in the 1980s, it has made important achievements in aerospace and aviation field and been applied in many fields.  ...  With the fast progress of new technologies in the fields of information and photoelectricity sensing, at the view of imaging pattern, hyperspectral remote sensing imaging presents new trends of multimodality  ... 
doi:10.1007/s11432-020-3084-1 fatcat:tivcc4l5efh5zg62t37stswqgu

Detection of urban expansion in an urban-rural landscape with multitemporal QuickBird images

Dengsheng Lu
2010 Journal of Applied Remote Sensing  
Accurately detecting urban expansion with remote sensing techniques is a challenge due to the complexity of urban landscapes.  ...  This paper explored methods for detecting urban expansion with multitemporal QuickBird images in Lucas do Rio Verde, Mato Grosso, Brazil.  ...  Acknowledgments The authors wish to thank the National Institute of Child Health and Human Development at NIH (grant # R01 HD035811) for the funds that made this study possible.  ... 
doi:10.1117/1.3501124 pmid:21799706 pmcid:PMC3143462 fatcat:kdxs3kk66jamznnmkwbca5z7li

Data Fusion for Remote-Sensing Applications [chapter]

Anne Solberg
2006 Signal and Image Processing for Remote Sensing  
This is referred to as the "multi" concept in remote sensing. The "multi" concept includes: multitemporal, multispectral/multifrequency, multipolarization, multiscale, and multisensor image analysis.  ...  We present and discuss methods for multisource image analysis and provide a tutorial on the subject on data fusion for remote sensing.  ...  Acknowledgements The author would like to thank Line Eikvil for valuable input, in particular regarding multisensor image registration.  ... 
doi:10.1201/9781420003130.ch23 fatcat:gln4jphaxrgg7dilrw2oyuxvra

A Comparison of Multispectral and Multitemporal Information in High Spatial Resolution Imagery for Classification of Individual Tree Species in a Temperate Hardwood Forest

T Key
2001 Remote Sensing of Environment  
This study suggests that although multispectral film.  ...  Multitemporal, small-format 35-mm aerial photo-band.  ...  Given a lim-Ultimately we plan to use this work to study demoited number of bands of remotely sensed data, what comgraphic and population dynamics along with growth and bination of single-band, multispectral  ... 
doi:10.1016/s0034-4257(00)00159-0 fatcat:7spek3mdnrfc5dmxj5yapzvy7e

Multitemporal Land Use/Land Cover Change Detection for the Batena Watershed, Rift Valley Lakes Basin, Ethiopia [chapter]

Gebiaw T. Ayele, Solomon S. Demessie, Kassa T. Mengistu, Seifu A. Tilahun, Assefa M. Melesse
2015 Springer Geography  
range of applications at regional scales for erosion, landslide, land planning, forest management, and ecosystem conservation.  ...  The final output of remote sensing imagery revealed five land cover classes: Grazing land, bush land, mixed forest, dominantly cultivated agricultural land, and water body.  ...  Change detection techniques based on multispectral and multitemporal remotely sensed data have demonstrated a great potential as a means to understand landscape dynamics and to monitor differences in land  ... 
doi:10.1007/978-3-319-18787-7_4 fatcat:wchx7hxurvdjvhq7tajyvw3qby

Aircraft and satellite remote sensing of desert soils and landscapes

G.W. Petersen, K.F. Connors, D.A. Miller, R.L. Day, T.W. Gardner
1987 Remote Sensing of Environment  
Remotely sensed data are used in conjunction with field observation to define mapping unit composition and extend mapping to inaccessible areas.  ...  Because of the digital form of remotely sensed data, it may be readily input to models. Furthermore, in areas where ground truth data are limited, remotely sensed data may be the only data available.  ... 
doi:10.1016/0034-4257(87)90041-1 fatcat:xc5q5wzdmfdy3fgwdqxl5evbyi

Crop Classification with Multi-Temporal Satellite Image Data

Nirbhay Bhuyar, G.H Raisoni College of Engineering
2020 International Journal of Engineering Research and  
This Paper focusses on how machine learning algorithms can be used for the crop classification with the multitemporal data images from satellite.  ...  However, it's challenging to achieve that precision in this field. Remote Sensing helps to achieve that crop yield assessment, crop health and other parameters.  ...  First, we gather the crop field image data, which is a multitemporal data in Tiff format. 2.  ... 
doi:10.17577/ijertv9is060208 fatcat:xcqwqp2npbbglniuzmmfmca4ja

Remote Sensing and GIS Applications in Fruit Industry

D. Nagaharshitha et al., D. Nagaharshitha et al.,
2017 International Journal of Agricultural Science and Research  
Remote sensing (RS) and Geographical Information System (GIS) are new-edge technologies that facilitate in gathering and updating information to develop scientific management plans.  ...  , gather conclusive evidence to establish its utility, and concentrate on human resource development to apply the process on large scale.  ...  This can be achieved by the effective use of remote sensing based resource information combined with other socioeconomic data using GIS.  ... 
doi:10.24247/ijasroct201710 fatcat:h2mcvkrcavc27aurstwky4rjke


G. Waldhoff, C. Curdt, D. Hoffmeister, G. Bareth
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
For this purpose, the Multi-Data Approach (MDA) was used to integrate multitemporal remote sensing classifications with additional spatial information by the means of expert knowledge-based production  ...  in the soil-vegetation-atmosphere (SVA) system.  ...  "The ASTER L1A data were obtained through the online Data Pool at the NASA Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux  ... 
doi:10.5194/isprsannals-i-7-177-2012 fatcat:wpuhdunkovg35cnunylwiojjq4

Assessing the utility of geospatial technologies to investigate environmental change within lake systems

Eirini Politi, John S. Rowan, Mark E.J. Cutler
2016 Science of the Total Environment  
thank the constructive feedback from the anonymous reviewers.  ...  Acknowledgements This work was supported by NERC Consortium Grant NE/J024279/1 -GloboLakes (Global Observatory of Lake Responses to Environmental Change): The Authors also wish to  ...  Spectral analysis, multispectral RS.  ... 
doi:10.1016/j.scitotenv.2015.09.136 pmid:26521989 fatcat:zqiwtnqh65c3zepitlkp3z26zm

Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data

Hector A. Orengo, Francesc C. Conesa, Arnau Garcia-Molsosa, Agustín Lobo, Adam S. Green, Marco Madella, Cameron A. Petrie
2020 Proceedings of the National Academy of Sciences of the United States of America  
This paper presents an innovative multisensor, multitemporal machine-learning approach using remote sensing big data for the detection of archaeological mounds in Cholistan (Pakistan).  ...  This paper implements a multisensor, multitemporal machine-learning approach for the remote detection of archaeological mounds.  ...  Mounds can also leave specific multispectral soil signatures in highly anthropized landscapes with leveled or irrigated fields (6) .  ... 
doi:10.1073/pnas.2005583117 pmid:32690717 fatcat:uvbhhzqxqrardku7lha5b32vfu

Multimodal Classification of Remote Sensing Images: A Review and Future Directions

Luis Gomez-Chova, Devis Tuia, Gabriele Moser, Gustau Camps-Valls
2015 Proceedings of the IEEE  
In this paper, we provide a taxonomical view of the field and review the current methodologies for multimodal classification of remote sensing images.  ...  Then, we illustrate the different approaches in seven challenging remote sensing applications: 1) multiresolution fusion for multispectral image classification; 2) image downscaling as a form of multitemporal  ...  ACKNOWLEDGEMENTS The authors would like to thank DigitalGlobe Inc. for the optical data on Rio and Haiti, and the Italian Space Agency for the SAR data on Haiti.  ... 
doi:10.1109/jproc.2015.2449668 fatcat:gaficd2bcrbshcrds3a2wfa25a

Hydrological Regime Monitoring and Mapping of the Zhalong Wetland through Integrating Time Series Radarsat-2 and Landsat Imagery

Xiaodong Na, Shuying Zang, Changshan Wu, Yang Tian, Wenliang Li
2018 Remote Sensing  
extent at various scales with satisfactory results [9] [10] [11] [12] .  ...  Researchers have usually found that the use of multisource remote sensing data (both passive optical and active radar data) in addition to ancillary geographical data (topographic indices and elevation  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10050702 fatcat:k3qe4z7lfngo5c7zfk2h2ysyce
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