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Multitemporal soil pattern analysis with multispectral remote sensing data at the field-scale
2015
Computers and Electronics in Agriculture
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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
2015
Remote Sensing
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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
2021
Science China Information Sciences
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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
2010
Journal of Applied Remote Sensing
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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]
2006
Signal and Image Processing for Remote Sensing
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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
2001
Remote Sensing of Environment
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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]
2015
Springer Geography
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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
1987
Remote Sensing of Environment
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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
2020
International Journal of Engineering Research and
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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
2017
International Journal of Agricultural Science and Research
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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
ANALYSIS OF MULTITEMPORAL AND MULTISENSOR REMOTE SENSING DATA FOR CROP ROTATION MAPPING
2012
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2016
Science of the Total Environment
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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): www.globolakes.ac.uk 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
2020
Proceedings of the National Academy of Sciences of the United States of America
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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
2015
Proceedings of the IEEE
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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
2018
Remote Sensing
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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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