Synergistic Use of Remote Sensing and Modeling to Assess an Anomalously High Chlorophyll-a Event during Summer 2015 in the South Central Red Sea

Author： Li Wenzhao   El-Askary Hesham   ManiKandan K. P.   Qurban Mohamed A.   Garay Michael J.   Kalashnikova Olga V.  

Publisher： MDPI

E-ISSN： 2072-4292|9|8|778-778

ISSN： 2072-4292

Source： Remote Sensing, Vol.9, Iss.8, 2017-07, pp. : 778-778

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Assessment of Chlorophyll-a Remote Sensing Algorithms in a Productive Tropical Estuarine-Lagoon System

By Lins Regina Camara   Martinez Jean-Michel   Motta Marques David da   Cirilo José Almir   Fragoso Carlos Ruberto  

Remote Sensing, Vol. 9, Iss. 6, 2017-05 ,pp. : 516-516

MDPI

Access to resources Recommend Favorite

Use of high spectral resolution remote sensing to determine leaf palatability of eucalypt trees for folivorous marsupials

By Dury S.   Turner B.   Foley B.   Wallis I.  

ITC Journal, Vol. 3, Iss. 4, 2001-01 ,pp. : 328-336

Elsevier

Access to resources Recommend Favorite

Modeling Remote Sensing Satellite Collection Opportunity Likelihood for Hurricane Disaster Response

By Hodgson Michael E.   Davis Bruce A.   Cheng Yang   Miller James  

Cartography and Geographic Information Science, Vol. 37, Iss. 1, 2010-01 ,pp. : 7-15

Cartography and Geographic Information Society

Access to resources Recommend Favorite

Remote Sensing

By  

Cartography and Geographic Information Science, Vol. 11, Iss. 1, 1984-0 ,pp. : 89-100

Cartography and Geographic Information Society

Access to resources Recommend Favorite

Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

By Fu Gang   Liu Changjun   Zhou Rong   Sun Tao   Zhang Qijian  

Remote Sensing, Vol. 9, Iss. 5, 2017-05 ,pp. : 498-498

MDPI

Access to resources Recommend Favorite