نتائج البحث - "REMOTE sensing"

المساهمون: National Authority for Remote Sensing and Space Sciences (NARSS), Italian National Research Council, National Research Council [Italy] (CNR), Kafrelsheikh University, Durham University, Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Collège de France (CdF)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Institut National de la Recherche Agronomique (INRA), Tyumen State University, Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Collège de France (CdF (institution))-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)

المصدر: Remote sensing, 2019, Vol.11(24), pp.3039 [Peer Reviewed Journal]
Remote Sensing; Volume 11; Issue 24; Pages: 3039
Remote Sensing
Remote Sensing, MDPI, 2019, 11 (24), pp.3039. ⟨10.3390/rs11243039⟩
Remote Sensing, 2019, 11 (24), pp.3039. ⟨10.3390/rs11243039⟩

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70984f6a20dc9d4977944592e3391dbf
http://dro.dur.ac.uk/30043/

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4

Mapping Opuntia stricta in the arid and semi-arid environment of Kenya using sentinel-2 imagery and ensemble machine learning classifiers

المؤلفون: Zhuang-Fang Yi, Edward Ouko, Pedram Rowhani, A. S. Antonarakis, Edward E. Salakpi, James M. Muthoka

المصدر: Remote Sensing, Vol 13, Iss 1494, p 1494 (2021)
Remote Sensing; Volume 13; Issue 8; Pages: 1494

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6196ab0ba3fc0fba68f54a26a34c00a9
http://sro.sussex.ac.uk/id/eprint/98616/1/remotesensing-13-01494.pdf

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5

Scrutinizing relationships between submarine groundwater discharge and upstream areas using thermal remote sensing: A case study in the northern Persian gulf

المؤلفون: Gholam Abbas Kazemi, Giles M. Foody, Assefa M. Melesse, Omid Rahmati, Sadat Feiznia, Mohsen Farzin, Aliakbar Nazari Samani

المصدر: Remote Sensing, Vol 13, Iss 358, p 358 (2021)
Remote Sensing
Volume 13
Issue 3

وصف الملف: PDF; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfcd2f9991ab4d453b67dbf44a17201b

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6

The Lavic Lake Fault: A Long-Term Cumulative Slip Analysis via Combined Field Work and Thermal Infrared Hyperspectral Airborne Remote Sensing

المؤلفون: Patrick D. Johnson, Paul M. Adams, Francis J. Sousa, Rebecca A. Witkosky, David K. Lynch, Kerry N. Buckland, Joann M. Stock, David M. Tratt

المصدر: Remote Sensing, Vol 12, Iss 3586, p 3586 (2020)
Remote Sensing
Volume 12
Issue 21

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c41f14d23676ef2ed3015428f08eedf
https://resolver.caltech.edu/CaltechAUTHORS:20201105-160425687

7

ORINOCO: Retrieving a river delta network with the fast-marching method and Python

المؤلفون: Tom Van der Stocken, Michael Denbina, Johan Nilsson, Marc Simard, Charlies Marshak

المساهمون: Biology

المصدر: ISPRS International Journal of Geo-Information, Vol 9, Iss 658, p 658 (2020)
ISPRS International Journal of Geo-Information
Volume 9
Issue 11

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64208677f89feafebd151940370a9340
https://biblio.vub.ac.be/vubir/orinoco-retrieving-a-river-delta-network-with-the-fastmarching-method-and-python(2e93bec1-f184-4245-9770-a3e95d9044ad).html

8

Integrating Remote Sensing and Geophysics for Exploring Early Nomadic Funerary Architecture in the 'Siberian Valley of the Kings'

المؤلفون: Timur Sadykov, Gino Caspari, Timo Balz, Manuel Buess, Matthias Nieberle, Jegor Blochin

المصدر: Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 14, p 3074 (2019)
Caspari, Gino; Sadykov, Timur; Blochin, Jegor; Buess, Manuel; Nieberle, Matthias; Balz, Timo (2019). Integrating Remote Sensing and Geophysics for Exploring Early Nomadic Funerary Architecture in the “Siberian Valley of the Kings”. Sensors, 19(14), p. 3074. Molecular Diversity Preservation International MDPI 10.3390/s19143074 <http://dx.doi.org/10.3390/s19143074>
Sensors
Volume 19
Issue 14

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